USRE45398E1 - System for tracking and analyzing welding activity - Google Patents

System for tracking and analyzing welding activity Download PDF

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USRE45398E1
USRE45398E1 US14177692 US201414177692A USRE45398E US RE45398 E1 USRE45398 E1 US RE45398E1 US 14177692 US14177692 US 14177692 US 201414177692 A US201414177692 A US 201414177692A US RE45398 E USRE45398 E US RE45398E
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welding
system
weld
real
process
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Matthew Wayne WALLACE
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Lincoln Global Inc
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Lincoln Global Inc
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K9/00Arc welding or cutting
    • B23K9/095Monitoring or automatic control of welding parameters
    • B23K9/0953Monitoring or automatic control of welding parameters using computing means

Abstract

A system and a method for tracking and analyzing welding activity. Dynamic spatial properties of a welding tool are sensed during a welding process producing a weld. The sensed dynamic spatial properties are tracked over time and the tracked dynamic spatial properties are captured as tracked data during the welding process. The tracked data is analyzed to determine performance characteristics of a welder performing the welding process and quality characteristics of a weld produced by the welding process. The performance characteristics and the quality characteristics may be subsequently reviewed.

Description

This U.S. patent application claims priority to and the benefit of U.S. provisional patent application Ser. No. 61/158,578 which was filed on Mar. 9, 2009, and which is incorporated herein by reference in its entirety.

TECHNICAL FIELD

Certain embodiments of the present invention pertain to systems for tracking and analyzing welding activity, and more particularly, to systems that capture weld data in real time (or near real time) for analysis and review. Additionally, the embodiments of the present invention provide a system for marking portions of a welded article by indicating possible discontinuities or flaws within the weld joint.

BACKGROUND

In many applications, ascertaining the quality of weld joints is critical to the use and operation of a machine or structure incorporating a welded article. In some instances, x-raying or other nondestructive testing is needed to identify potential flaws within one or more welded joints. However, non-destructive testing can be cumbersome to use, and typically lags the welding process until the inspector arrives to complete the testing. Additionally, it may not be effective for use with all weld joint configurations. Moreover, non-destructive testing does not provide any information about how the weld was completed. In welding applications where identifying waste is vital to producing cost effective parts, non-destructive testing provides no insight into problems like overfill.

Further limitations and disadvantages of conventional, traditional, and proposed approaches will become apparent to one of skill in the art, through comparison of such approaches with the subject matter of the present application as set forth in the remainder of the present application with reference to the drawings.

SUMMARY

The embodiments of the present invention pertain to a system for tracking and analyzing welding activity. The system may be used in conjunction with a welding power supply and includes a sensor array and logic processor-based technology that captures performance data (dynamic spatial properties) as the welder performs various welding activities. The system functions to evaluate the data via an analysis engine for determining weld quality in real time (or near real time). The system also functions to store and replay data for review at a time subsequent to the welding activity thereby allowing other users of the system to review the performance activity of the welding process.

These and other novel features of the subject matter of the present application, as well as details of illustrated embodiments thereof, will be more fully understood from the following description and drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a perspective view of a welder using an embodiment of a system for tracking and analyzing welding activity;

FIG. 2 is a schematic representation of an embodiment of the system of FIG. 1 for tracking and analyzing welding activity;

FIG. 3 is a schematic representation of an embodiment of the hardware and software of the system of FIGS. 1-2 for tracking and analyzing welding activity;

FIG. 4 is a flow diagram of an embodiment of the system of FIGS. 1-3 for tracking and analyzing welding activity;

FIG. 5 is a flowchart of an embodiment of a method for tracking and analyzing welding activity using the system of FIGS. 1-4; and

FIG. 6 illustrates an example embodiment of a graph, displayed on a display, showing tracked welding tool pitch angle versus time with respect to an upper pitch angle limit, a lower pitch angle limit, and an ideal pitch angle.

DETAILED DESCRIPTION

FIG. 1 is a perspective view of a welder 10 using an embodiment of a system 100 for tracking and analyzing welding activity while performing a welding process with a welding system 200. FIG. 2 is a schematic representation of an embodiment of the system 100 of FIG. 1 for tracking and analyzing welding activity. FIG. 3 is a schematic representation of an embodiment of the hardware 110, 130 and software 120 of the system 100 of FIGS. 1-2 for tracking and analyzing welding activity. FIG. 4 is a flow diagram of an embodiment of the system 100 of FIGS. 1-3 for tracking and analyzing welding activity. FIG. 5 is a flowchart of an embodiment of a method 500 for tracking and analyzing welding activity using the system 100 of FIGS. 1-4.

Referring again to the drawings wherein the showings are for purposes of illustrating embodiments of the invention only and not for purposes of limiting the same, FIG. 1 shows a system 100 for tracking and analyzing manual processes requiring the dexterity of a human end user 10. In particular, system 100 functions to capture performance data related to the use and handling of tools (e.g., welding tools). In one embodiment, the system 100 is used to track and analyze welding activity, which may be a manual welding process in any of its forms including but not limited to: arc welding, laser welding, brazing, soldering, oxyacetylene and gas welding, and the like. For illustrative purposes, the embodiments of the present invention will be described in the context of arc welding. However, persons of ordinary skill in the art will understand its application to other manual processes. In accordance with alternative embodiments of the present invention, the manual welder 10 may be replaced with a robotic welder. As such, the performance of the robotic welder and resultant weld quality may be determined in a similar manner.

In one embodiment, the system 100 tracks movement or motion (i.e., position and orientation over time) of a welding tool 230, which may be, for example, an electrode holder or a welding torch. Accordingly, the system 100 is used in conjunction with a welding system 200 including a welding power supply 210, a welding torch 230, and welding cables 240, along with other welding equipment and accessories. As a welder 10, i.e. end user 10, performs welding activity in accordance with a welding process, the system 100 functions to capture performance data from real world welding activity as sensed by sensors 160, 165 (see FIG. 2) which are discussed in more detail later herein.

In accordance with an embodiment of the present invention, the system 100 for tracking and analyzing welding activity includes the capability to automatically sense dynamic spatial properties (e.g., positions, orientations, and movements) of a welding tool 230 during a manual welding process producing a weld 16 (e.g., a weld joint). The system 100 further includes the capability to automatically track the sensed dynamic spatial properties of the welding tool 230 over time and automatically capture (e.g., electronically capture) the tracked dynamic spatial properties of the welding tool 230 during the manual welding process.

The system 100 also includes the capability to automatically analyze the tracked data to determine performance characteristics of a welder 10 performing the manual welding process and quality characteristics of a weld 16 produced by the welding process. The system 100 allows for the performance characteristics of the welder 10 and the quality characteristics of the weld to be reviewed. The performance characteristics of a welder 10 may include, for example, a weld joint trajectory, a travel speed of the welding tool 230, welding tool pitch and roll angles, an electrode distance to a center weld joint, an electrode trajectory, and a weld time. The quality characteristics of a weld produced by the welding process may include, for example, discontinuities and flaws within certain regions of a weld produced by the welding process.

The system 100 further allows a user (e.g., a welder 10) to locally interact with the system 100. In accordance with another embodiment of the present invention, the system 100 allows a remotely located user to remotely interact with the system 100. In either scenario, the system 100 may automatically authorize access to a user of the system 100, assuming such authorization is warranted.

In accordance with an embodiment of the present invention, the system 100 for tracking and analyzing welding activity includes a processor based computing device 110 configured to track and analyze dynamic spatial properties (e.g., positions, orientations, and movements) of a welding tool 230 over time during a manual welding process producing a weld 16. The system 100 further includes at least one sensor array 160, 165 operatively interfacing to the processor based computing device 110 (wired or wirelessly) and configured to sense the dynamic spatial properties of a welding tool 230 during a manual welding process producing a weld 16. The system 100 also includes at least one user interface operatively interfacing to the processor based computing device 110. The user interface may include a graphical user interface 135 and/or a display device (e.g., a display 130 or a welding display helmet 180 where a display is integrated into a welding helmet as illustrated in FIG. 2). The system 100 may further include a network interface configured to interface the processor based computing device 110 to a communication network 300 (e.g., the internet).

In accordance with an embodiment of the present invention, a method 500 (see FIG. 5) for tracking and analyzing welding activity includes, in step 510, setting up a manual welding process, and, in step 520, sensing dynamic spatial properties (e.g., positions, orientations, and movements) of a welding tool 230 during a manual welding process producing a weld using at least one sensor (e.g., sensor arrays 160 and 165). In step 530, the method includes tracking the sensed dynamic spatial properties over time during the manual welding process using a real time tracking module 121 (see FIG. 4). The method also includes, in step 540, capturing the tracked dynamic spatial properties as tracked data during the manual welding process using a computer based (e.g., electronic) memory device (e.g., a portion of the hardware 150 and software 120 of the processor based computing device 110). The method further includes, in step 550, analyzing the tracked data to determine performance characteristics of a welder 10 performing the manual welding process and/or quality characteristics of a weld produced by the welding process using a computer based analysis engine 122. In step 560, at least one of the performance characteristics and the quality characteristics are reviewed using a display device (e.g., display device 130). Alternatively, a visualization module or a testing module may be used in place of the display device 130, as are well known in the art.

The method 500 may initially include selecting welding set up parameters for the welding process via a user interface 135 as part of step 510. The method may also include outputting the performance characteristics of the welder 10 and/or the quality characteristics of a weld to a remote location and remotely viewing the performance characteristics and/or the quality characteristics via a communication network 300 (see FIG. 3).

The system 100 for tracking and analyzing welding activity comprises hardware and software components, in accordance with an embodiment of the present invention. In one embodiment, the system 100 incorporates electronic hardware. More specifically, system 100 may be constructed, at least in part, from electronic hardware 150 (see FIG. 4) of the processor based computing device 110 operable to execute programmed algorithms, also referred to herein as software 120 or a computer program product. The processor based computing device 110 may employ one or more logic processors capable of being programmed, an example of which may include one or more microprocessors. However, other types of programmable circuitry may be used without departing from the intended scope of coverage of the embodiments of the present invention. In one embodiment, the processor based computing device 110 is operatively disposed as a microcomputer in any of various configurations including but not limited to: a laptop computer, a desktop computer, a work station, a server or the like. Alternatively, mini-computers or main frame computers may serve as the platform for implementing the system 100 for tracking and analyzing welding activity. Moreover, handheld or mobile processor based computing devices may be used to execute programmable code for tracking and analyzing performance data.

Other embodiments are contemplated wherein the system 100 is incorporated into the welding system 200. More specifically, the components comprising the system 100 may be integrated into the welding power supply 210 and/or weld torch 230. For example, the processor based computing device 110 may be received internal to the housing of the welding power supply 210 and may share a common power supply with other systems located therein. Additionally, sensors 160, 165, used to sense the weld torch 230 dynamic spatial properties, may be integrated into the weld torch handle.

The system 100 may communicate with and be used in conjunction with other similarly or dissimilarly constructed systems. Input to and output from the system 100, termed I/O, may be facilitated by networking hardware and software including wireless as well as hard wired (directly connected) network interface devices. Communication to and from the system 100 may be accomplished remotely as through a network 300 (see FIG. 3), such as, for example, a wide area network (WAN) or the Internet, or through a local area network (LAN) via network hubs, repeaters, or by any means chosen with sound engineering judgment. In this manner, information may be transmitted between systems as is useful for analyzing, and/or re-constructing and displaying performance and quality data.

In one embodiment, remote communications are used to provide virtual instruction by personnel, i.e. remote or offsite users, not located at the welding site. Reconstruction of the welding process is accomplished via networking. Data representing a particular weld may be sent to another similar or dissimilar system 100 capable of displaying the weld data (see FIG. 3). It should be noted that the transmitted data is sufficiently detailed for allowing remote user(s) to analyze the welder's performance and the resultant weld quality. Data sent to a remote system 100 may be used to generate a virtual welding environment thereby recreating the welding process as viewed by offsite users as discussed later herein. Still, any way of communicating performance data to another entity remotely located from the welding site may be used without departing from the intended scope of coverage of the embodiments of the subject invention.

The processor based computing device 110 further includes support circuitry including electronic memory devices, along with other peripheral support circuitry that facilitate operation of the one or more logic processor(s), in accordance with an embodiment of the present invention. Additionally, the processor based computing device 110 may include data storage, examples of which include hard disk drives, optical storage devices and/or flash memory for the storage and retrieval of data. Still any type of support circuitry may be used with the one or more logic processors as chosen with sound engineering judgment. Accordingly, the processor based computing device 110 may be programmable and operable to execute coded instructions in a high or low level programming language. It should be noted that any form of programming or type of programming language may be used to code algorithms as executed by the system 100.

With reference now to FIGS. 1-4, the system 100 is accessible by the end user 10 via a display screen 130 operatively connected to the processor based computing device 110. Software 120 installed onto the system 100 directs the end user's 10 interaction with the system 100 by displaying instructions and/or menu options on, for example, the display screen 130 via one or more graphical user interfaces (GUI) 135. Interaction with the system 100 includes functions relating to, for example: part set up (weld joint set up), welding activity analysis, weld activity playback, real time tracking, as well as administrative activity for managing the captured data. Still other functions may be chosen as are appropriate for use with the embodiments of the present invention. System navigation screens, i.e. menu screens, may be included to assist the end user 10 in traversing through the system functions. It is noted that as the system 100 is used for training and analysis, security may be incorporated into the GUI(s) 135 that allow restricted access to various groups of end users 10. Password security, biometrics, work card arrangement or other security measures may be used to ensure that system access is given only to authorized users as determined by an administrator or administrative user. It will be appreciated that the end user 10 may be the same or a different person than that of the administrative user.

In one embodiment, the system 100 functions to capture performance data of the end user 10 for manual activity as related to the use of tools or hand held devices. In the accompanying figures, welding, and more specifically, arc welding is illustrated as performed by the end user 10 on a weldment 15 (e.g., a weld coupon). The welding activity is recorded by the system 100 in real time or near-real time for tracking and analysis purposes mentioned above by a real time tracking module 121 and an analysis module 122, respectively (see FIG. 4). By recorded it is meant that the system 10 captures data related to a particular welding process for determining the quality of the weld joint or weld joints. The types of performance data that may be captured include, but are not limited to, for example: weld joint configuration or weld joint trajectory, weld speed, welding torch pitch and roll angles, electrode distance to the center weld joint, wire feed speed, electrode trajectory, weld time, and time and date data. Other types of data may also be captured and/or entered into the system 100 including: weldment materials, electrode materials, user name, project ID number, and the like. Still, any type and quantity of information may be captured and/or entered into the system 100 as is suitable for tracking, analyzing and managing weld performance data. In this manner, detailed information about how the welding process for a particular weld joint was performed may be captured and reconstructed for review and analysis in an analysis record 124.

The data captured and entered into the system 100 is used to determine the quality of the real world weld joint. Persons of ordinary skill in the art will understand that a weld joint may be analyzed by various processes including destructive and non-destructive methods, examples of which include sawing/cutting or x-raying of the weld joint respectively. In prior art methods such as these, trained or experienced weld personnel can determine the quality of a weld performed on a weld joint. Of course, destructive testing renders the weldment unusable and thus can only be used for a sampling or a subset of welded parts. While non-destructive testing, like x-raying, do not destroy the welded article, these methods can be cumbersome to use and the equipment expensive to purchase. Moreover, some weld joints cannot be appropriately x-rayed, i.e. completely or thoroughly x-rayed. By way of contrast, system 100 captures performance data during the welding process that can be used to determine the quality of the welded joint. More specifically, system 100 is used to identify potential discontinuities and flaws within specific regions of a weld joint. The captured data may be analyzed by an experienced welder or trained professional (e.g., a trainer 123, see FIG. 4), or in an alternative by the system 100 using the analysis module 122 for identifying areas within the weld joint that may be flawed. In one example, torch position and orientation along with travel speed and other critical parameters are analyzed as a whole to predict which areas along the weld joint, if any, are deficient. It will be understood that quality is achieved during the welding process when the operator 10 keeps the weld torch 230 within acceptable operational ranges. Accordingly, the performance data may be analyzed against known good parameters for achieving weld quality for a particular weld joint configuration.

FIG. 6 illustrates an example embodiment of a graph 600, displayed on the display 130, showing tracked welding tool pitch angle 640 versus time with respect to an upper pitch angle limit 610, a lower pitch angle limit 620, and an ideal pitch angle 630. The upper and lower limits 610 and 620 define a range of acceptability between them. Different limits may be predefined for different types of users such as, for example, welding novices, welding experts, and persons at a trade show. The analysis engine 122 may provide a scoring capability, in accordance with an embodiment of the present invention, where a numeric score is provided based on how close to optimum (ideal) a user is for a particular tracked parameter, and depending on the determined level of discontinuities or defects determined to be present in the weld.

Performance data may be stored electronically in a database 140 (see FIG. 3) and managed by a database manager in a manner suitable for indexing and retrieving selected sets or subsets of data. In one embodiment, the data is retrieved and presented to an analyzing user (e.g., a trainer 123) for determining the weld quality of a particular weld joint. The data may be presented in tabular form for analysis by the analyzing user. Pictures, graphs, and or other symbol data may also be presented as is helpful to the analyzing user in determining weld quality. In an alternative embodiment, the performance data may be presented to the analyzing user in a virtual reality setting, whereby the real world welding process is simulated using real world data as captured by the system 100. An example of such a virtual reality setting is discussed in U.S. patent application Ser. No. 12/501,257 filed on Jul. 10, 2009. In this way, the weld joint and corresponding welding process may be reconstructed for review and analysis. Accordingly, the system 100 may be used to archive real data as it relates to a particular welded article. Still, it will be construed that any manner of representing captured data or reconstructing the welding process for the analyzing user may be used as is appropriate for determining weld quality.

In another embodiment, data captured and stored in the database 140 is analyzed by an analyzing module 122 (a.k.a., an analysis engine) of the system 100. The analyzing module 122 may comprise a computer program product executed by the processor based computing device 110. The computer program product may use artificial intelligence. In one particular embodiment, an expert system may be programmed with data derived from a knowledge expert and stored within an inference engine for independently analyzing and identifying flaws within the weld joint. By independently, it is meant that the analyzing module 122 functions independently from the analyzing user to determine weld quality. The expert system may be ruled-based and/or may incorporate fuzzy logic to analyze the weld joint. In this manner, areas along the weld joint may be identified as defective, or potentially defective, and marked for subsequent review by an analyzing user. Determining weld quality and/or problem areas within the weld joint may be accomplished by heuristic methods. As the system 100 analyzes welding processes of the various end users over repeated analyzing cycles, additional knowledge may be gained by the system 100 for determining weld quality.

A neural network or networks may be incorporated into the analysis engine 122 of the system 100 for analyzing data to determine weld quality, weld efficiency and/or weld flaws or problems. Neural networks may comprise software programming that simulates decision making capabilities. In one embodiment, the neural network(s) may process data captured by the system 100 making decisions based on weighted factors. It is noted that the neural network(s) may be trained to recognize problems that may arise from the weld torch position and movement, as well as other critical welding factors. Therefore, as data from the welding process is captured and stored, the system 100 may analyze the data for identifying the quality of the weld joint. Additionally, the system 100 may provide an output device 170 (see FIG. 4) that outputs indications of potential flaws in the weld such as, for example, porosity, weld overfill, and the like.

In capturing performance data, the system 100 incorporates a series of sensors, also referred to as sensor arrays 160, 165 (see FIG. 2). The sensor arrays 160, 165 include emitters and receivers positioned at various locations in proximity to the weldment 15, and more specifically, in proximity to the weld joint 16 for determining the position and orientation of the weld torch 230 in real time (or near real time). In one embodiment, the sensor arrays 160, 165 include acoustical sensor elements. It is noted that the acoustical sensor elements may use waves in the sub-sonic and/or ultra-sonic range. Alternate embodiments are contemplated that use optical sensor elements, infrared sensor elements, laser sensor elements, magnetic sensor elements, or electromagnetic (radio frequency) sensor elements. In this manner, the sensor emitter elements emit waves of energy in any of various forms that are picked up by the sensor receiver elements. To compensate for noise introduced by the welding process, the system 100 may also include bandwidth suppressors, which may be implemented in the form of software and/or electronic circuitry. The bandwidth suppressors are used to condition the sensor signals to penetrate interference caused by the welding arc. Additionally, the system 100 may further incorporate inertial sensors, which may include one or more accelerometers. In this manner, data relating to position, orientation, velocity, and acceleration may be required to ascertain the movements (i.e., motion) of the weld torch 230.

In one embodiment, part of the sensor arrays 160, 165 are received by the weld torch 230. That is to say that a portion of the sensors or sensor elements are affixed with respect to the body of the weld torch 230 (see sensor array 160 165 of FIG. 2). In other embodiments, sensors and/or sensor elements may be affixed to a portion of the article being welded (see sensor array 165 160 of FIG. 2). Still any manner of positioning and connecting the sensor elements may be chosen as is appropriate for tracking welding activity.

As an example of sensing and tracking a welding tool 230, in accordance with an embodiment of the present invention, a magnetic sensing capability may be provided. For example, the receiver sensor array 165 may be a magnetic sensor that is mounted on the welding tool 230, and the emitter sensor array 160 may take the form of a magnetic source. The magnetic source 160 may be mounted in a predefined fixed position and orientation with respect to the weldment 15. The magnetic source 160 creates a magnetic field around itself, including the space encompassing the welding tool 230 during use and establishes a 3D spatial frame of reference. The magnetic sensor 165 is provided which is capable of sensing the magnetic field produced by the magnetic source. The magnetic sensor 165 is attached to the welding tool 230 and is operatively connected to the processor based computing device 110 via, for example, a cable, or wirelessly. The magnetic sensor 165 includes an array of three induction coils orthogonally aligned along three spatial directions. The induction coils of the magnetic sensor 165 each measure the strength of the magnetic field in each of the three directions and provide that information to the real time tracking module 121 of the processor based computing device 110. As a result, the system 100 is able to know where the welding tool 230 is in space with respect to the 3D spatial frame of reference established by the magnetic field produced by the magnetic source 160. In accordance with other embodiments of the present invention, two or more magnetic sensors may be mounted on or within the welding tool 230 to provide a more accurate representation of the position and orientation of the welding tool 230, for example. Care is to be taken in establishing the magnetic 3D spatial frame of reference such that the weldment 15, the tool 230, and any other portions of the welding environment do not substantially distort the magnetic field created by the magnetic source 160. As an alternative, such distortions may be corrected for or calibrated out as part of a welding environment set up procedure. Other non-magnetic technologies (e.g., acoustic, optical, electromagnetic, inertial, etc.) may be used, as previously discussed herein, to avoid such distortions, as are well known in the art.

With reference to all of the figures, operation of the system 100 will now be described in accordance with an embodiment of the present invention. The end user 10 activates the system 100 and enters his or her user name via the user interface 135. Once authorized access has been gained, the end user 10 traverses the menu system as prompted by the computer program product 120 via the GUI 135. The system 100 instructs the end user 10 to initiate set up of the welding article 15, which includes entering information about the weldment materials and/or welding process being used. Entering such information may include, for example, selecting a language, entering a user name, selecting a weld coupon type, selecting a welding process and associated axial spray, pulse, or short arc methods, selecting a gas type and flow rate, selecting a type of stick electrode, and selecting a type of flux cored wire.

In one embodiment, the end user enters the starting and ending points of the weld joint 16. This allows the system 100, via the real time tracking module 121, to determine when to start and stop recording the tracked information. Intermediate points are subsequently entered for interpolating the weld joint trajectory as calculated by the system 100. Additionally, sensor emitters and/or receivers 160, 165 are placed proximate to the weld joint at locations suitable for gathering data in a manner consistent with that described herein. After set up is completed, system tracking is initiated and the end user 10 is prompted to begin the welding procedure. As the end user 10 completes the weld, the system 100 gathers performance data including the speed, position and orientation of the weld torch 230 for analysis by the system 100 in determining welder performance characteristics and weld quality characteristics as previously described herein.

In summary, a system and a method for tracking and analyzing welding activity is disclosed. Dynamic spatial properties of a welding tool are sensed during a welding process producing a weld. The sensed dynamic spatial properties are tracked over time and the tracked dynamic spatial properties are captured as tracked data during the welding process. The tracked data is analyzed to determine performance characteristics of a welder performing the welding process and quality characteristics of a weld produced by the welding process. The performance characteristics and the quality characteristics may be subsequently reviewed.

While the claimed subject matter of the present application has been described with reference to certain embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the scope of the claimed subject matter. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the claimed subject matter without departing from its scope. Therefore, it is intended that the claimed subject matter not be limited to the particular embodiment disclosed, but that the claimed subject matter will include all embodiments falling within the scope of the appended claims.

Claims (195)

What is claimed is:
1. A system for tracking and analyzing welding activity, said system comprising:
means for automatically sensing dynamic spatial properties of a welding tool during a welding process producing a real world weld;
means for automatically tracking said sensed dynamic spatial properties over time during said welding process;
means for automatically capturing in real time or near real time said tracked dynamic spatial properties as tracked data during said welding process; and
means for automatically analyzing in real time or near real time said tracked data to determine at least one of performance characteristics of a welder performing said welding process and a quality characteristics characteristic of a said real world weld produced by said welding process.
2. The system of claim 1, wherein said analyzing further comprises determining a performance characteristic of a welder performing said welding process, and
said system further comprising comprises means for reviewing said performance characteristics characteristic of a said welder performing said welding process.
3. The system of claim 1 further comprising means for reviewing said quality characteristics characteristic of a said real world weld produced by said welding process.
4. The system of claim 1 further comprising means for a user to locally interact with said system.
5. The system of claim 1 further comprising means for a user to remotely interact with said system.
6. The system of claim 1 further comprising means for automatically authorizing access to a user of said system.
7. The system of claim 1, wherein said analyzing comprises determining a performance characteristic of a welder performing said welding process, and
wherein said performance characteristics of a welder include characteristic includes at least one of a weld joint trajectory, a travel speed of said welding tool, welding tool pitch and roll angles, an electrode distance to a center weld joint, an electrode trajectory, and a weld time.
8. The system of claim 1 wherein said quality characteristics of a weld produced by said welding process include characteristic includes at least one of discontinuities and flaws within regions of a said real world weld produced by said welding process.
9. A system for tracking and analyzing welding activity, said system comprising:
at least one sensor array configured to sense dynamic spatial properties of a welding tool during a welding process producing a real world weld;
a processor based computing device operatively interfacing to said at least one sensor array and configured to track and analyze in real time or near real time said dynamic spatial properties of a said welding tool over time during a said welding process producing a said real world weld; and
at least one user interface operatively interfacing to said processor based computing device, said at least one user interface displaying a quality characteristic of said real world weld produced by said welding process.
10. The system of claim 9 wherein said at least one user interface includes a graphical user interface.
11. The system of claim 9 wherein said at least one user interface includes a display device.
12. The system of claim 9 further comprising a network interface configured to interface said processor based computing device to an external communication network.
13. The system of claim 9 wherein said at least one sensor array includes at least one of acoustical sensor elements, optical sensor elements, magnetic sensor elements, inertial sensor elements, and electromagnetic sensor elements.
14. A method for tracking and analyzing welding activity, said method comprising:
sensing dynamic spatial properties of a welding tool during a welding process producing a real world weld using at least one sensor;
tracking said sensed dynamic spatial properties over time in real time or near real time during said welding process using a real time tracking module;
capturing said tracked dynamic spatial properties as tracked data in real time or near real time during said welding process using a computer based memory device; and
analyzing said tracked data in real time or near real time to determine at least one of performance characteristics of a welder performing said welding process and a quality characteristics characteristic of a said real world weld produced by said welding process using a computer based analysis engine.
15. The method of claim 14, wherein said analyzing further comprises determining a performance characteristic of a welder performing said welding process, and
wherein said method further comprising comprises outputting said performance characteristics characteristic of a said welder performing said welding process to at least one of a display device, a visualization module, and a testing module for review.
16. The method of claim 14 further comprising outputting said quality characteristics characteristic of a said real world weld produced by said welding process to at least one of a display device, a visualization module, and a testing module for review.
17. The method of claim 14 further comprising selecting welding set up parameters for said welding process via a user interface.
18. The method of claim 14 15 further comprising remotely reviewing at least one of said performance characteristics characteristic of a said welder performing said welding process and said quality characteristics characteristic of a said real world weld produced by said welding process, via a communication network.
19. The method of claim 14, wherein said analyzing further comprises determining a performance characteristic of a welder performing said welding process, and
wherein said performance characteristics of a welder include characteristic includes at least one of a weld joint trajectory, a travel speed of said welding tool, welding tool pitch and roll angles, an electrode distance to a center weld joint, an electrode trajectory, and a weld time.
20. The method of claim 14 wherein said quality characteristics of a weld produced by said welding process include characteristic includes at least one of discontinuities and flaws within regions of a said real world weld produced by said welding process.
21. The system of claim 9, wherein said analysis of said spatial properties comprise determining at least one of a performance characteristic of a welder performing said welding process and a quality characteristic of said real world weld.
22. The system of claim 21, wherein said performance characteristic includes at least one of a weld joint trajectory, a travel speed of said welding tool, welding tool pitch and roll angles, an electrode distance to a center weld joint, an electrode trajectory, and a weld time.
23. The system of claim 21, wherein said quality characteristic includes at least one of a discontinuity and a flaw within a region of said weld produced by said welding process.
24. The system of claim 23, wherein said quality characteristic includes said flaw and said flaw comprises at least one of porosity and weld overfill.
25. The system of claim 24, wherein said spatial properties comprise at least one of a position, an orientation, and a movement of said welding tool.
26. The system of claim 9, wherein said welding tool comprises a portion of said at least one sensor array.
27. The system of claim 26, wherein said portion of said at least one sensor array includes at least one of acoustical sensor elements, magnetic sensor elements, inertial sensor elements, and electromagnetic sensor elements.
28. The system of claim 12, wherein said network interface is configured to transmit data representing said welding process to a remote system.
29. The system of claim 28, wherein said transmitted data comprises information related to a welder's performance.
30. The system of claim 9, wherein said processor based computing device is further configured to record in real time or near real time performance data corresponding to said welding process, and
wherein said performance data comprises at least one of a weld joint configuration or a weld joint trajectory, a weld speed, welding tool pitch and roll angles, an electrode distance to a center weld joint, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
31. The system of claim 30, wherein said processor based computing device is further configured to record at least one of weldment materials, electrode materials, user name, and project ID number.
32. The system of claim 31, wherein said analyzing further comprises comparing said performance data to known parameters to determine said quality characteristic of said real world weld.
33. The system of claim 9, wherein said analyzing comprises determining a score based on a comparison of at least one of said tracked spatial properties to an optimum value corresponding to said at least one of said tracked spatial properties.
34. The system of claim 33, wherein said optimum value is a range comprising an upper limit and a lower limit for said at least one of said tracked spatial properties.
35. The system of claim 34, wherein said tracked spatial properties comprise at least one of a weld joint trajectory, a weld speed, welding tool pitch angle, welding tool roll angle, an electrode distance to a center weld joint, a wire feed speed, and an electrode trajectory.
36. The system of claim 35, wherein said tracked spatial properties includes said welding tool pitch angle.
37. The system of claim 9, wherein said welding process is performed manually.
38. The system of claim 9, wherein said welding process is performed by a robotic welder.
39. The system of claim 11, wherein said display device is integrated into a welding helmet.
40. The system of claim 9, wherein said processor based computing device is configured to set up a virtual reality setting in which said welding process can be simulated using said spatial properties of said welding tool.
41. The system of claim 9, wherein said welding tool is one of an electrode holder and a welding torch.
42. The system of claim 9, wherein said analysis is performed by an expert system configured identify defective or potentially defective areas along a weld joint.
43. The system of claim 42, wherein said expert system comprises at least one of a rule-based system and a neural network.
44. The system of claim 43, wherein said expert system is said neural network and said analysis is based on weighted factors.
45. The system of claim 9, wherein said processor based computing device is further configured to capture information corresponding to said welding process in an analysis record for subsequent review.
46. The method of claim 14, wherein said sensing comprises measuring at least one of an acoustical signal, a magnetic signal, an optical signal, inertial signal, and an electromagnetic signal.
47. The method of claim 14, further comprising transmitting to a remote system data representing said welding process.
48. The method of claim 47, further comprising analyzing said welding process based on said transmitted data.
49. The method of claim 14, further comprising recording in real time or near real time performance data corresponding to said welding process,
wherein said performance data comprises at least one of a weld joint configuration or a weld joint trajectory, a weld speed, welding tool pitch and roll angles, an electrode distance to a center weld joint, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
50. The method of claim 49, wherein said recording further comprises recording data corresponding to at least one of weldment materials, electrode materials, user name, and project ID number.
51. The method of claim 49, wherein said analyzing comprises comparing said performance data to known parameters to determine said quality characteristic of said real world weld.
52. The method of claim 14, wherein said analyzing comprises determining a score based on a comparison of at least one of said tracked spatial properties to an optimum value.
53. The method of claim 52, wherein said optimum value is a range comprising an upper limit and a lower limit for said at least one of said tracked spatial properties.
54. The method of claim 53, wherein said tracked spatial properties comprise at least one of a weld joint trajectory, a weld speed, welding tool pitch angle, welding tool roll angle, an electrode distance to a center weld joint, a wire feed speed, and an electrode trajectory.
55. The system of claim 54, wherein said tracked spatial properties includes said welding tool pitch angle.
56. The method of claim 14, wherein said welding process is performed manually.
57. The method of claim 14, wherein said welding process is performed by a robotic welder.
58. The method of claim 14, further comprising storing information on said welding process an analysis record.
59. The method of claim 15, wherein said display device is integrated into a welding helmet.
60. The method of claim 16, wherein said display device is integrated into a welding helmet.
61. The method of claim 14, further comprising setting up a virtual reality setting in which said welding process can be simulated using said spatial properties of said welding tool.
62. The method of claim 14, wherein said welding tool is one of an electrode holder and a welding torch.
63. The method of claim 14, further comprising using an expert system to identify defective or potentially defective areas along said weld.
64. The method of claim 63, wherein said expert system uses at least one of a rule-based system and a neural network.
65. The method of claim 64, wherein said expert system uses said neural network and said identification is based on weighted factors.
66. The method of claim 14, further comprising capturing information corresponding to said welding process in an analysis record for subsequent review.
67. The method of claim 20, wherein said flaws comprise at least one of porosity and weld overfill.
68. The method of claim 67, wherein said spatial properties comprise at least one of a position, an orientation, and a movement of said welding tool.
69. A system for tracking and analyzing welding activity, said system comprising:
at least one sensor array configured to sense spatial properties of a welding tool during a welding process producing a real world weld; and
a processor based computing device operatively interfacing to said at least one sensor array and configured to track said spatial properties and record performance data corresponding to said welding process, said processor based computing device further configured to determine a quality characteristic of said real world weld.
70. The system of claim 69, wherein said analysis comprises comparing said performance data to known parameters to determine said quality characteristic of said weld.
71. The system of claim 70, wherein said quality characteristic includes at least one of a discontinuity and a flaw within a region of said weld.
72. The system of claim 71, wherein said recording is performed in real time or near real time.
73. The system of claim 72, wherein said spatial properties comprise at least one of a position, an orientation, and a movement of said welding tool, and
wherein said performance data comprises at least one of a weld joint configuration or a weld joint trajectory, a weld speed, welding tool pitch and roll angles, an electrode distance to a center weld joint, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
74. The system of claim 73, wherein said processor based computing device is further configured to record at least one of weldment materials, electrode materials, user name, and project ID number.
75. The system of claim 73, wherein said analyzing further comprises determining a score based on at least a comparison of at least one of said tracked spatial properties to an optimum value said at least one of said tracked spatial properties.
76. The system of claim 75, wherein said optimum value is a range comprising an upper limit and a lower limit for said at least one of said tracked spatial properties.
77. The system of claim 76, wherein said tracked spatial properties comprise at least one of a weld joint trajectory, a weld speed, welding tool pitch angle, welding tool roll angle, an electrode distance to a center weld joint, a wire feed speed, and an electrode trajectory.
78. The system of claim 77, wherein said tracked spatial properties includes said welding tool pitch angle.
79. The system of claim 71, wherein said quality characteristic includes said flaw and said flaw comprises at least one of porosity and weld overfill.
80. The system of claim 69, wherein said welding process is performed manually.
81. The system of claim 69, wherein said welding process is performed by a robotic welder.
82. The system of claim 69, further comprising a display device to display said quality characteristic.
83. The system of claim 82, wherein said display device is integrated into a welding helmet.
84. The system of claim 69, wherein said processor based computing device is configured to set up a virtual reality setting in which said welding process can be simulated using said spatial properties of said welding tool.
85. The system of claim 69, wherein said welding tool is one of an electrode holder and a welding torch.
86. The system of claim 69, wherein said analysis is performed by an expert system configured identify defective or potentially defective areas along said weld.
87. The system of claim 86, wherein said expert system is a neural network and said analysis is based on weighted factors.
88. The system of claim 69, wherein said processor based computing device is further configured to capture information corresponding to said welding process in an analysis record for subsequent review.
89. A system for tracking and analyzing welding activity, said system comprising:
a tracking module configured to track spatial positions of a welding tool during a welding process; and
a processor subsystem configured to ascertain at least one welding parameter during the welding process based on said tracked spatial positions and to determine a score based on a comparison of said at least one welding parameter to an optimum value.
90. The system of claim 89, wherein said at least one welding parameter includes a performance characteristic of a welder.
91. The system of claim 89, wherein said at least one welding parameter includes a quality characteristic of a weld.
92. The system of claim 89, wherein said at least one welding parameter includes a performance characteristic of a welder and a quality characteristic of a weld.
93. The system of claim 89, wherein said processor subsystem includes an expert system.
94. The system of claim 93, wherein said expert system comprises at least one of a rule-based system and a neural network.
95. The system of claim 89, wherein said optimum value is a range comprising an upper limit and a lower limit for said at least one welding parameter.
96. The system of claim 95, wherein said at least one welding parameter comprises at least one of a weld joint trajectory, a weld speed, welding tool pitch angle, welding tool roll angle, an electrode distance to a center weld joint, a wire feed speed, and an electrode trajectory.
97. The system of claim 96, wherein said tracked spatial properties includes said welding tool pitch angle.
98. The system of claim 97, wherein said welding process is performed manually.
99. The system of claim 89, wherein said welding process is performed by a robotic welder.
100. The system of claim 91, further comprising a display device to display said quality characteristic.
101. The system of claim 100, wherein said display is integrated into a welding helmet.
102. The system of claim 89, wherein said processor based computing device is configured to set up a virtual reality setting in which said welding process can be simulated using said spatial properties of said welding tool.
103. The system of claim 89, wherein said welding tool is one of an electrode holder and a welding torch.
104. A method for tracking and analyzing welding activity, said method comprising:
sensing spatial properties of a welding tool during a welding process producing a real world weld;
tracking said sensed spatial properties;
recording performance data corresponding to said welding process; and
analyzing said performance data in real-time or near real-time to determine a quality characteristic of said real world weld produced by said welding process.
105. The method of claim 104, wherein said analyzing comprises comparing said performance data to a known parameter to determine said quality characteristic of said real world weld.
106. The method of claim 105, wherein said welding process is performed by a robotic welder.
107. The method of claim 105, wherein said quality characteristic includes at least one of a discontinuity and a flaw within a region of said real world weld.
108. The method of claim 107, wherein said quality characteristic includes said flaw and said flaw comprises at least one of porosity and weld overfill.
109. The method of claim 107, wherein said recording is performed in real time or near real time.
110. The method of claim 109, wherein said spatial properties comprise at least one of a position, an orientation, and a movement of said welding tool, and
wherein said performance data comprises at least one of a weld joint configuration or a weld joint trajectory, a weld speed, welding tool pitch and roll angles, an electrode distance to a center weld joint, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
111. The method of claim 110, wherein further comprising recording at least one of weldment materials, electrode materials, user name, and project ID number.
112. The method of claim 104, wherein said analyzing further comprises determining a score based on at least a comparison of at least one of said tracked spatial properties to an optimum value.
113. The method of claim 112, wherein said optimum value is a range comprising an upper limit and a lower limit for said at least one of said tracked spatial properties.
114. The method of claim 113, wherein said tracked spatial properties comprise at least one of a weld joint trajectory, a weld speed, welding tool pitch angle, welding tool roll angle, an electrode distance to a center weld joint, a wire feed speed, and an electrode trajectory.
115. The system of claim 114, wherein said tracked spatial properties includes said welding tool pitch angle.
116. The method of claim 104, wherein said welding process is performed manually.
117. The method of claim 104, further comprising outputting said quality characteristic to a display device.
118. The method of claim 117, wherein said display device is integrated into a welding helmet.
119. The method of claim 104, further comprising setting up a virtual reality setting in which said welding process can be simulated using said spatial properties of said welding tool.
120. The method of claim 104, wherein said welding tool is one of an electrode holder and a welding torch.
121. The method of claim 104, further comprising using an expert system to identify defective or potentially defective areas along said weld.
122. The method of claim 121, wherein said expert system is a neural network and said identification is based on weighted factors.
123. The method of claim 104, further comprising capturing information corresponding to said welding process in an analysis record for subsequent review.
124. A method for tracking and analyzing welding activity, said system comprising:
tracking spatial positions of a welding tool during a welding process;
determining at least one welding parameter during the welding process based on said tracked spatial positions;
determining a score based on a comparison of said at least one welding parameter to an optimum value.
125. The method of claim 124, wherein said determining of said at least one welding parameter comprises analyzing a performance characteristic of a welder.
126. The method of claim 124, wherein said determining of said at least one welding parameter comprises analyzing a quality characteristic of a weld.
127. The method of claim 124, wherein said determining of said at least one welding parameter comprises analyzing a performance characteristic of a welder and a quality characteristic of a weld.
128. The method of claim 124, wherein said determining of said at least one welding parameter comprises using an expert system.
129. The method of claim 128, wherein said expert system uses at least one of a rule-based system and a neural network.
130. The method of claim 124, wherein said optimum value is a range comprising an upper limit and a lower limit for said at least one welding parameter.
131. The method of claim 130, wherein said at least one welding parameter comprises at least one of a weld joint trajectory, a weld speed, welding tool pitch angle, welding tool roll angle, an electrode distance to a center weld joint, a wire feed speed, and an electrode trajectory.
132. The method of claim 131, wherein said at least one welding parameter includes said welding tool pitch angle.
133. The method of claim 124, wherein said welding process is performed manually.
134. The method of claim 124, wherein said welding process is performed by a robotic welder.
135. The method of claim 124, further comprising setting up a virtual reality setting in which said welding process can be simulated using said spatial properties of said welding tool.
136. The system of claim 124, wherein said welding tool is one of an electrode holder and a welding torch.
137. A system for tracking welding activity, said system comprising:
an optical tracking system that tracks at least one of a position, a movement, and an orientation of a welding tool; and
a computer operatively interfacing to said optical tracking system, said computer determining at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool,
wherein said processor based computing device determines for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter.
138. The system of claim 137, wherein said score relates to a weld quality of a real world weld.
139. The system of claim 138, wherein said score relates to said weld quality of said real world weld, and
wherein said weld quality includes an indication of at least one of a discontinuity and a flaw within a region of said real world weld.
140. The system of claim 139, wherein said weld quality includes an indication of said flaw and said flaw comprises at least one of porosity and weld overfill.
141. The system of claim 139, wherein said determination of said score is performed in real time or near real time.
142. The system of claim 138, wherein an expert system identifies defective or potentially defective areas along said real world weld.
143. The system of claim 137, wherein said at least one parameter further includes at least one of a weld joint configuration or a weld joint trajectory, a weld speed, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
144. The system of claim 137, wherein said processor based computing device is further configured to record at least one of weldment materials, electrode materials, user name, and project ID number.
145. The system of claim 137, wherein said at least one predetermined limit includes an upper limit and a lower limit.
146. The system of claim 137, further comprising a display device to display said score.
147. The system of claim 146, wherein said display device is integrated into a welding helmet.
148. The system of claim 137, wherein said welding tool is one of an electrode holder and a welding torch.
149. A system for tracking welding activity, said system comprising:
an infrared tracking system that tracks at least one of a position, a movement, and an orientation of a welding tool based on an infrared element attached to said welding tool; and
a computer operatively interfacing to said infrared tracking system, said computer determining at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool,
wherein said computer determines for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter.
150. The system of claim 149, wherein said score relates to a weld quality of a real world weld.
151. The system of claim 150, wherein an expert system identifies defective or potentially defective areas along said real world weld.
152. The system of claim 150, wherein said score relates to said weld quality of said real world weld, and
wherein said weld quality includes an indication of at least one of a discontinuity and a flaw within a region of said real world weld.
153. The system of claim 152, wherein said weld quality includes an indication of said flaw and said flaw comprises at least one of porosity and weld overfill.
154. The system of claim 152, wherein said determination of said score is performed in real time or near real time.
155. The system of claim 149, wherein said at least one parameter further includes at least one of a weld joint configuration or a weld joint trajectory, a weld speed, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
156. The system of claim 149, wherein said processor based computing device is further configured to record at least one of weldment materials, electrode materials, user name, and project ID number.
157. The system of claim 149, wherein said at least one predetermined limit includes an upper limit and a lower limit.
158. The system of claim 149, further comprising a display device to display said score.
159. The system of claim 158, wherein said display device is integrated into a welding helmet.
160. The system of claim 149, wherein said welding tool is one of an electrode holder and a welding torch.
161. A method for tracking welding activity, said method comprising:
optically tracking at least one of a position, a movement, and an orientation of a welding tool;
determining at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool; and
computing for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter.
162. The method of claim 161, wherein said score relates to a weld quality of a real world weld.
163. The method of claim 162, wherein an expert system identifies defective or potentially defective areas along said real world weld.
164. The method of claim 162, wherein said score relates to said weld quality of said real world weld, and
wherein said weld quality includes an indication of at least one of a discontinuity and a flaw within a region of said real world weld.
165. The method of claim 164, wherein said weld quality includes an indication of said flaw and said flaw comprises at least one of porosity and weld overfill.
166. The method of claim 164, wherein said determination of said score is performed in real time or near real time.
167. The method of claim 161, wherein said at least one parameter further includes at least one of a weld joint configuration or a weld joint trajectory, a weld speed, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
168. The method of claim 167, wherein said processor based computing device is further configured to record at least one of weldment materials, electrode materials, user name, and project ID number.
169. The method of claim 161, wherein said at least one predetermined limit includes an upper limit and a lower limit.
170. The method of claim 161, further comprising a display device to display said score.
171. The method of claim 170, wherein said display device is integrated into a welding helmet.
172. The method of claim 161, wherein said welding tool is one of an electrode holder and a welding torch.
173. A method for tracking welding activity, said method comprising:
tracking by infrared at least one of a position, a movement, and an orientation of a welding tool based on an infrared element attached to said welding tool;
determining at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool; and
computing for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter.
174. The method of claim 173, wherein said score relates to a weld quality of a real world weld.
175. The method of claim 174, wherein said score relates to said weld quality of said real world weld, and
wherein said weld quality includes an indication of at least one of a discontinuity and a flaw within a region of said real world weld.
176. The method of claim 175, wherein said weld quality includes an indication of said flaw and said flaw comprises at least one of porosity and weld overfill.
177. The method of claim 175, wherein said determination of said score is performed in real time or near real time.
178. The method of claim 174, wherein an expert system identifies defective or potentially defective areas along said real world weld.
179. The method of claim 173, wherein said at least one parameter further includes at least one of a weld joint configuration or a weld joint trajectory, a weld speed, a wire feed speed, an electrode trajectory, a weld time, and time and date data.
180. The method of claim 179, wherein said processor based computing device is further configured to record at least one of weldment materials, electrode materials, user name, and project ID number.
181. The method of claim 173, wherein said at least one predetermined limit includes an upper limit and a lower limit.
182. The method of claim 173, further comprising a display device to display said score.
183. The method of claim 182, wherein said display device is integrated into a welding helmet.
184. The method of claim 173, wherein said welding tool is one of an electrode holder and a welding torch.
185. A system for tracking and analyzing welding activity, said system comprising:
at least one sensor array configured to sense spatial properties of a welding tool during a welding process producing a real world weld;
a processor based computing device operatively interfacing to said at least one sensor array and configured to track and analyze in real time or near real time said spatial properties of said welding tool during said welding process producing said real world weld; and
at least one display interfacing to said processor based computing device, said at least one display displaying a quality characteristic of said real world weld produced by said welding process.
186. A system for tracking welding activity, said system comprising:
an infrared tracking system that tracks at least one of a position, a movement, and an orientation of a welding tool based on an infrared emitter attached to said welding tool; and
a computer operatively interfacing to said infrared tracking system, said computer determining at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool,
wherein said computer determines for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter.
187. A method for tracking welding activity, said method comprising:
tracking by infrared at least one of a position, a movement, and an orientation of a welding tool based on an infrared emission from said welding tool;
determining at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool,
computing for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter.
188. A system for tracking welding activity, said system comprising:
an optical tracking system that tracks in real time or near real time at least one of a position, a movement, and an orientation of a welding tool; and
a computer operatively interfacing to said optical tracking system, said computer determining in real time or near real time at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool,
wherein said processor based computing device determines for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter, and
wherein said score relates to a weld quality of a real world weld.
189. The system of claim 188, wherein said determination of said score is performed in real time or near real time.
190. A system for tracking welding activity, said system comprising:
an infrared tracking system that tracks in real time or near real time at least one of a position, a movement, and an orientation of a welding tool based on an infrared element attached to said welding tool; and
a computer operatively interfacing to said infrared tracking system, said computer determining in real time or near real time at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool,
wherein said computer determines for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter, and
wherein said score relates to a weld quality of a real world weld.
191. The system of claim 190, wherein said determination of said score is performed in real time or near real time.
192. A method for tracking welding activity, said method comprising:
optically tracking in real time or near real time at least one of a position, a movement, and an orientation of a welding tool;
determining in real time or near real time at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool; and
computing for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter, and
wherein said score relates to a weld quality of a real world weld.
193. The method of claim 192, wherein said determination of said score is performed in real time or near real time.
194. A method for tracking welding activity, said method comprising:
tracking by infrared in real time or near real time at least one of a position, a movement, and an orientation of a welding tool based on an infrared element attached to said welding tool;
determining in real time or near real time at least one parameter that is at least one of a travel speed, a pitch angle, a roll angle, and an electrode distance to a center weld joint of said welding tool; and
computing for each of said at least one parameter a score based on a comparison of said parameter to at least one predetermined limit for said parameter, and
wherein said score relates to a weld quality of a real world weld.
195. The method of claim 194, wherein said determination of said score is performed in real time or near real time.
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Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140315167A1 (en) * 2013-04-22 2014-10-23 Fronius International Gmbh Method and device for simulating an electrode welding process
US20140374396A1 (en) * 2013-06-21 2014-12-25 Illinois Tool Works Inc. System and method for determining weld travel speed
US20150239059A1 (en) * 2014-02-21 2015-08-27 Lincoln Global, Inc. Methods and system for enhanced plasma torch control
US20150325153A1 (en) * 2011-08-10 2015-11-12 Illinois Tool Works Inc. System and device for welding training
US9221117B2 (en) 2009-07-08 2015-12-29 Lincoln Global, Inc. System for characterizing manual welding operations
US9230449B2 (en) 2009-07-08 2016-01-05 Lincoln Global, Inc. Welding training system
US20160372006A1 (en) * 2015-06-22 2016-12-22 Joachim Berkmanns Methods for welding training
US9685099B2 (en) 2009-07-08 2017-06-20 Lincoln Global, Inc. System for characterizing manual welding operations
US9691299B2 (en) 2008-08-21 2017-06-27 Lincoln Global, Inc. Systems and methods providing an enhanced user experience in a real-time simulated virtual reality welding environment
US9754509B2 (en) 2008-08-21 2017-09-05 Lincoln Global, Inc. Importing and analyzing external data using a virtual reality welding system
US9767712B2 (en) 2012-07-10 2017-09-19 Lincoln Global, Inc. Virtual reality pipe welding simulator and setup
US9773429B2 (en) 2009-07-08 2017-09-26 Lincoln Global, Inc. System and method for manual welder training
US9836987B2 (en) 2014-02-14 2017-12-05 Lincoln Global, Inc. Virtual reality pipe welding simulator and setup
US9836994B2 (en) 2009-07-10 2017-12-05 Lincoln Global, Inc. Virtual welding system
US9862049B2 (en) 2014-06-27 2018-01-09 Illinois Tool Works Inc. System and method of welding system operator identification
US9911360B2 (en) 2009-07-10 2018-03-06 Lincoln Global, Inc. Virtual testing and inspection of a virtual weldment
US9928755B2 (en) 2008-08-21 2018-03-27 Lincoln Global, Inc. Virtual reality GTAW and pipe welding simulator and setup
US9937578B2 (en) 2014-06-27 2018-04-10 Illinois Tool Works Inc. System and method for remote welding training
US9977242B2 (en) 2015-03-26 2018-05-22 Illinois Tool Works Inc. Control of mediated reality welding system based on lighting conditions

Families Citing this family (61)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9352411B2 (en) 2008-05-28 2016-05-31 Illinois Tool Works Inc. Welding training system
US8911237B2 (en) 2008-08-21 2014-12-16 Lincoln Global, Inc. Virtual reality pipe welding simulator and setup
US8834168B2 (en) 2008-08-21 2014-09-16 Lincoln Global, Inc. System and method providing combined virtual reality arc welding and three-dimensional (3D) viewing
US8747116B2 (en) 2008-08-21 2014-06-10 Lincoln Global, Inc. System and method providing arc welding training in a real-time simulated virtual reality environment using real-time weld puddle feedback
US8657605B2 (en) 2009-07-10 2014-02-25 Lincoln Global, Inc. Virtual testing and inspection of a virtual weldment
US9483959B2 (en) 2008-08-21 2016-11-01 Lincoln Global, Inc. Welding simulator
US9330575B2 (en) 2008-08-21 2016-05-03 Lincoln Global, Inc. Tablet-based welding simulator
US8274013B2 (en) 2009-03-09 2012-09-25 Lincoln Global, Inc. System for tracking and analyzing welding activity
US8569655B2 (en) 2009-10-13 2013-10-29 Lincoln Global, Inc. Welding helmet with integral user interface
US8569646B2 (en) 2009-11-13 2013-10-29 Lincoln Global, Inc. Systems, methods, and apparatuses for monitoring weld quality
US8884177B2 (en) 2009-11-13 2014-11-11 Lincoln Global, Inc. Systems, methods, and apparatuses for monitoring weld quality
US9468988B2 (en) 2009-11-13 2016-10-18 Lincoln Global, Inc. Systems, methods, and apparatuses for monitoring weld quality
US9862048B2 (en) * 2010-10-07 2018-01-09 Illinois Tool Works Inc. Method and apparatus for monitoring weld cell
US9750295B2 (en) 2011-05-12 2017-09-05 Lincoln Global, Inc. Welding helmet configuration providing real-time fume exposure warning capability
US20120286958A1 (en) * 2011-05-12 2012-11-15 Lincoln Global, Inc. Welding helmet configuration providing real-time fume exposure warning capability
KR20140094501A (en) * 2011-07-08 2014-07-30 웰도봇 리미티드 System and method for manual seam tracking during welding and welding assistance system
US9744615B2 (en) * 2011-07-15 2017-08-29 Illinois Tool Works Inc. Method and system for stud welding
DE102011053799A1 (en) * 2011-09-20 2013-03-21 Dritte Patentportfolio Beteiligungsgesellschaft Mbh & Co.Kg A method for controlling at least one control variable of a tool and the tool
DE102011053798A1 (en) * 2011-09-20 2013-03-21 Dritte Patentportfolio Beteiligungsgesellschaft Mbh & Co.Kg A method for determining a change in position of a tool and the tool and the tool controller
US9862051B2 (en) 2011-09-27 2018-01-09 Illinois Tool Works Inc. Welding system and method utilizing cloud computing and data storage
US9573215B2 (en) * 2012-02-10 2017-02-21 Illinois Tool Works Inc. Sound-based weld travel speed sensing system and method
US8964026B2 (en) 2012-04-10 2015-02-24 Lincoln Global, Inc. Image-based motion characterization system for a mobile device
US9669484B2 (en) 2012-04-20 2017-06-06 Illinois Tool Works Inc. Systems and methods for detecting welding and cutting parameters
US20130327747A1 (en) * 2012-06-06 2013-12-12 Illinois Tool Works Inc. Welding device for remotely controlling welding power supply settings
KR101628644B1 (en) * 2012-11-06 2016-06-08 제이에프이 스틸 가부시키가이샤 Analyzing method and apparatus for optimizing welding position of structure
US9583014B2 (en) 2012-11-09 2017-02-28 Illinois Tool Works Inc. System and device for welding training
US9368045B2 (en) 2012-11-09 2016-06-14 Illinois Tool Works Inc. System and device for welding training
US9684303B2 (en) 2013-03-15 2017-06-20 Illinois Tool Works Inc. Welding resource tracking and analysis system and method
US9728103B2 (en) 2013-03-15 2017-08-08 Illinois Tool Works Inc. Data storage and analysis for a welding training system
US9666100B2 (en) 2013-03-15 2017-05-30 Illinois Tool Works Inc. Calibration devices for a welding training system
US9713852B2 (en) 2013-03-15 2017-07-25 Illinois Tool Works Inc. Welding training systems and devices
US9583023B2 (en) 2013-03-15 2017-02-28 Illinois Tool Works Inc. Welding torch for a welding training system
US9672757B2 (en) 2013-03-15 2017-06-06 Illinois Tool Works Inc. Multi-mode software and method for a welding training system
US9665093B2 (en) 2013-03-15 2017-05-30 Illinois Tool Works Inc. Welding resource performance comparison system and method
US9844838B2 (en) 2013-05-08 2017-12-19 Hobart Brothers Company Systems and methods for low-manganese welding alloys
US9895774B2 (en) 2013-05-08 2018-02-20 Hobart Brothers Company Systems and methods for low-manganese welding alloys
US9704140B2 (en) 2013-07-03 2017-07-11 Illinois Tool Works Inc. Welding system parameter comparison system and method
US20150072323A1 (en) * 2013-09-11 2015-03-12 Lincoln Global, Inc. Learning management system for a real-time simulated virtual reality welding training environment
US20150125836A1 (en) 2013-11-05 2015-05-07 Lincoln Global, Inc. Virtual reality and real welding training system and method
US20150154884A1 (en) * 2013-12-03 2015-06-04 Illinois Tool Works Inc. Systems and methods for a weld training system
US9589481B2 (en) 2014-01-07 2017-03-07 Illinois Tool Works Inc. Welding software for detection and control of devices and for analysis of data
US9757819B2 (en) 2014-01-07 2017-09-12 Illinois Tool Works Inc. Calibration tool and method for a welding system
US9751149B2 (en) 2014-01-07 2017-09-05 Illinois Tool Works Inc. Welding stand for a welding system
US9724788B2 (en) 2014-01-07 2017-08-08 Illinois Tool Works Inc. Electrical assemblies for a welding system
US20150248845A1 (en) * 2014-02-28 2015-09-03 Lincoln Global, Inc. Portable virtual welding system
US20150352653A1 (en) * 2014-06-05 2015-12-10 Illinois Tool Works Inc. Gravity-based weld travel speed sensing system and method
US20150375323A1 (en) * 2014-06-27 2015-12-31 Illinois Tool Works Inc. System and method for managing welding data
US8992226B1 (en) * 2014-07-15 2015-03-31 Lincoln Global, Inc. Unicoupon for virtual reality welding simulator
US9724787B2 (en) 2014-08-07 2017-08-08 Illinois Tool Works Inc. System and method of monitoring a welding environment
US9875665B2 (en) 2014-08-18 2018-01-23 Illinois Tool Works Inc. Weld training system and method
WO2016044680A1 (en) * 2014-09-19 2016-03-24 Realityworks, Inc. Welding speed pacing device
US20160107257A1 (en) * 2014-10-16 2016-04-21 Illinois Tool Works Inc. Sensor-based power controls for a welding system
US20160114418A1 (en) * 2014-10-22 2016-04-28 Illinois Tool Works Inc. Virtual reality controlled mobile robot
US20160175961A1 (en) * 2014-12-19 2016-06-23 Illinois Tool Works Inc. Electric arc start systems and methods
US20160195867A1 (en) * 2015-01-02 2016-07-07 Illinois Tool Works Inc. System and method for enhancing manufacturing efficiency via operator activity detection
US9975196B2 (en) 2015-01-05 2018-05-22 University Of Kentucky Research Foundation Measurement of three-dimensional welding torch orientation for manual arc welding process
US20160250706A1 (en) * 2015-02-27 2016-09-01 Illinois Tool Works Inc. Welding system providing remote storage of video weld data
US9666160B2 (en) 2015-03-26 2017-05-30 Illinois Tool Works Inc. Control of mediated reality welding system based on lighting conditions
US20160288236A1 (en) * 2015-04-02 2016-10-06 Illinois Tool Works Inc. Systems and methods for tracking weld training arc parameters
US20160343272A1 (en) * 2015-05-21 2016-11-24 Gammakite, Llc Guided operation of a language device based on constructed, time-dependent data structures
EP3319066A1 (en) * 2016-11-04 2018-05-09 Lincoln Global, Inc. Magnetic frequency selection for electromagnetic position tracking

Citations (224)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US1159119A (en) 1915-04-21 1915-11-02 Charles Springer Welding-torch.
US2681969A (en) 1950-12-26 1954-06-22 Erico Prod Inc Welding electrode holder
US2728838A (en) 1953-10-13 1955-12-27 Chalma V Barnes Welding electrode holder
US2894086A (en) 1957-11-29 1959-07-07 Leo Vigne Arc welding electrode holder with safety shutoff
US3035155A (en) 1960-04-08 1962-05-15 Thore C Hawk Welding torch
US3356823A (en) 1964-07-10 1967-12-05 John W Waters Arc welding electrode holder
US3555239A (en) 1966-11-16 1971-01-12 William J Kerth Welding machine with digital pulse control
US3621177A (en) 1968-12-09 1971-11-16 Ca Atomic Energy Ltd Method and apparatus for tig tube welding
US3654421A (en) 1970-09-22 1972-04-04 Foy J Streetman Gouger attachment for conventional electrode holder
US3739140A (en) 1971-09-20 1973-06-12 J Rotilio Combination welding torch
US3866011A (en) 1973-07-09 1975-02-11 Edgar C Cole Instructional apparatus for underwater welding
US3867769A (en) 1973-08-06 1975-02-25 Harvey B Schow Arc welding simulator trainer
US3904845A (en) 1973-08-22 1975-09-09 Etpm Method and device for simulating welding operations
GB1455972A (en) 1975-01-07 1976-11-17 Schow H B Simulator trainer
USD243459S (en) 1975-04-10 1977-02-22 Saban Electric Corporation Welding machine
US4024371A (en) 1974-12-18 1977-05-17 Kelsey-Hayes Company Welding monitoring and control system
US4041615A (en) 1976-08-03 1977-08-16 Joseph Whitehill Small-motion test device
GB1511608A (en) 1975-06-03 1978-05-24 Akers Mek Verksted As Device for programming a manipulator
US4124944A (en) 1977-07-08 1978-11-14 Lenco, Inc. Device for teaching and evaluating a person's skill as a welder
US4132014A (en) 1977-06-20 1979-01-02 Schow Harvey B Welding simulator spot designator system
DE2833638A1 (en) 1978-08-01 1980-02-28 Schlatter Ag Robot hand programming system - uses frame with guide handle mounted on hand via force sensors
US4237365A (en) 1978-12-06 1980-12-02 Emerson Electric Co. Combination arc brazing and welding electrode holder
US4280041A (en) 1977-09-15 1981-07-21 Messer Griesheim Apparatus for arc welding or plasma cutting
US4280137A (en) 1978-01-25 1981-07-21 Hitachi, Ltd. Method and apparatus for automatically controlling arc welding
US4314125A (en) 1978-02-13 1982-02-02 Matsuichi Nakamura Electric seam welding device in the production equipment of hot-dip metal-coated steel tubes
DE3046634C2 (en) 1980-12-11 1983-01-13 Kuka Schweissanlagen + Roboter Gmbh, 8900 Augsburg, De
US4410787A (en) 1981-08-31 1983-10-18 Sri International Image acquisition apparatus and process
DE3244307A1 (en) 1982-11-30 1984-05-30 Siemens Ag robot control
US4452589A (en) 1981-08-14 1984-06-05 Denison Tom G Arc welding simulator
EP0127299A1 (en) 1983-05-25 1984-12-05 General Motors Corporation Method of predicting the quality of a resistance spot weld
EP0145891A1 (en) 1983-11-30 1985-06-26 ARMCO S.p.A. Automatic electrowelding machine
US4611111A (en) 1985-01-22 1986-09-09 General Electric Company Method to determine weld puddle area and width from vision measurements
US4677277A (en) 1985-11-08 1987-06-30 Cook Marvin D Arc welding instruction monitor
US4680014A (en) 1985-11-21 1987-07-14 Institute Problem Modelirovania V Energetike A An Ussr Welder's trainer
US4689021A (en) 1986-10-14 1987-08-25 Institute Problem Modelirovaniya V Energetike An Ukr.Ssr Spark trainer for welders
US4707582A (en) 1985-06-24 1987-11-17 Hasso Beyer Method and apparatus for operating an industrial robot with sensor-correction
US4716273A (en) 1985-12-30 1987-12-29 Institute Problem Modelirovania V Energetike Akademii Nauk Ukrainskoi SSR Electric-arc trainer for welders
EP0108599B1 (en) 1982-11-01 1988-12-28 National Research Development Corporation Automatic welding
US4867685A (en) 1987-09-24 1989-09-19 The Trustees Of The College Of Aeronautics Audio visual instructional system
US4877940A (en) 1987-06-30 1989-10-31 Iit Research Institute Using infrared imaging to monitor and control welding
US4897521A (en) 1989-03-01 1990-01-30 The United States Of America As Represented By The United States Department Of Energy Weld arc simulator
US4907973A (en) 1988-11-14 1990-03-13 Hon David C Expert system simulator for modeling realistic internal environments and performance
US4931018A (en) 1987-12-21 1990-06-05 Lenco, Inc. Device for training welders
EP0319623B1 (en) 1987-12-10 1990-10-17 United Kingdom Atomic Energy Authority Apparatus for simulating inspection equipment
GB2254172B (en) 1988-02-15 1992-12-16 Amada Co Ltd Welding robot
US5192845A (en) 1989-10-27 1993-03-09 Innovationsgesellschaft fur Fortgeschrittene-Produktionssysteme in der Fahrzeugindustrie mbH Process and device for automatic determination of parameters for process control systems with unknown transfer behavior, in particular for process control systems for resistance spot welding
US5206472A (en) 1989-06-12 1993-04-27 Reidar Myking System for use in electrode welding and gas/arc welding
US5320538A (en) 1992-09-23 1994-06-14 Hughes Training, Inc. Interactive aircraft training system and method
US5337611A (en) 1992-12-02 1994-08-16 Electric Power Research Institute Method of simulating ultrasonic inspection of flaws
US5360156A (en) 1992-03-25 1994-11-01 Kabushiki Kaisha Meidensha Welding management apparatus
US5360960A (en) 1992-06-26 1994-11-01 Trw Inc. Light intensity weld monitor
US5370071A (en) 1991-09-11 1994-12-06 Union Special Corporation Lap seamer device for sewing machine
US5424634A (en) 1994-02-18 1995-06-13 International Business Machines Corporation Non-destructive flex testing method and means
US5464957A (en) 1993-01-27 1995-11-07 The Babcock & Wilcox Company Manual arc welding speed pacer
US5670071A (en) 1990-04-17 1997-09-23 Daihen Corporation MAG arc welding apparatus
US5676867A (en) 1995-12-28 1997-10-14 Emhart Inc. Apparatus and method for monitoring and evaluating weld quality
US5676503A (en) 1995-05-24 1997-10-14 Lang; Armand Drill stand with an automatic advancement device for a drilling machine
DE19615069A1 (en) 1996-04-17 1997-10-23 Hannover Laser Zentrum Procedure for panning machine tool esp. laser beam cutter using edge tracking on workpiece
US5708253A (en) 1995-06-07 1998-01-13 Hill Technical Services, Inc. Apparatus and method for computerized interactive control, measurement and documentation of arc welding
WO1998045078A1 (en) 1997-04-08 1998-10-15 The University Of Sydney Weld quality measurement
US5823785A (en) 1997-10-27 1998-10-20 Matherne, Jr.; Lee Simulator for pipe welding
DE19739720C1 (en) 1997-09-10 1998-10-22 Roman Eissfeller Gmbh Automatic welding unit for high precision welding
US5845053A (en) 1994-10-25 1998-12-01 Fanuc Ltd. Method for teaching welding torch orientation
US6008470A (en) 1998-03-26 1999-12-28 University Of Kentucky Research Foundation Method and system for gas metal arc welding
US6049059A (en) 1996-11-18 2000-04-11 Samsung Electronics Co., Ltd. Vision processing method and device for welding line auto-tracking
US6051805A (en) 1998-01-20 2000-04-18 Air Liquide Canada Methods and apparatus for welding performance measurement
JP2000167666A (en) 1998-12-04 2000-06-20 Hitachi Ltd Automatic welding, defect repair method and automatic welding equipment
US6155475A (en) 1995-12-22 2000-12-05 Esab Ab Method for automatic multi-layer welding
US6155928A (en) 1998-05-19 2000-12-05 The Coca-Cola Company Modular portable gaming simulator systems and methods
JP2001071140A (en) 1999-09-02 2001-03-21 Toshiba Corp Device and method for supporting manual welding and device and method for training manual welding
US6236017B1 (en) 1999-07-01 2001-05-22 Bechtel Bwxt Idaho, Llc Method and apparatus for assessing weld quality
US6242711B1 (en) 1999-12-27 2001-06-05 Accudata, Inc. Arc welding monitoring system
WO2001043910A1 (en) 1999-12-15 2001-06-21 The University Of Sydney Welding assessment
DE20009543U1 (en) 2000-05-27 2001-08-02 Kuka Roboter Gmbh Hand flange of a robot hand
US6271500B1 (en) 1997-08-08 2001-08-07 Kabushiki Kaisha Yaskawa Denki Arc welding monitoring device
US6330938B1 (en) 1998-06-15 2001-12-18 Automobile, Peugeot Method and device for controlling an electric actuator activating a functional system
US20020032553A1 (en) 2000-04-14 2002-03-14 Barry Simpson Race car simulator
US20020046999A1 (en) 2000-08-29 2002-04-25 Mikko Veikkolainen Welding arrangement and method
USD456428S1 (en) 2001-05-07 2002-04-30 Ronson Corporation Torch
USD456828S1 (en) 2001-05-07 2002-05-07 Ronson Corporation Torch
US20020085843A1 (en) 1998-10-29 2002-07-04 Mann W. Stephen G. Wearable camera system with viewfinder means
USD461383S1 (en) 2001-09-27 2002-08-13 Sunex International, Inc. Heat gun with positioning stand therefor
US6441342B1 (en) 2000-11-20 2002-08-27 Lincoln Global, Inc. Monitor for electric arc welder
US6445964B1 (en) 1997-08-04 2002-09-03 Harris Corporation Virtual reality simulation-based training of telekinegenesis system for training sequential kinematic behavior of automated kinematic machine
US20030000931A1 (en) 2000-12-07 2003-01-02 Koji Ueda Control method of arc welding and arc welder
US6506997B2 (en) 2000-09-21 2003-01-14 Massachusetts Institute Of Technology Spot welding system and method for sensing welding conditions in real time
US6552303B1 (en) 2001-05-29 2003-04-22 Lincoln Global, Inc. System for enabling arc welders
US6568846B1 (en) 2000-11-15 2003-05-27 The United States Of America As Represented By The Secretary Of The Army Pulsed laser heating simulation of thermal damage on coated surface
USD475726S1 (en) 2002-05-28 2003-06-10 Denyo Co., Ltd. Engine-driven welding machine
US6583386B1 (en) * 2000-12-14 2003-06-24 Impact Engineering, Inc. Method and system for weld monitoring and tracking
JP2003200372A (en) 2001-10-23 2003-07-15 Fuji Electric Co Ltd Remote control type cutting robot
US20030172032A1 (en) 2000-06-22 2003-09-11 Claude Choquet Electronic virtual certification by data processing method via a communication network
US6621049B2 (en) 2001-04-26 2003-09-16 Central Motor Wheel Co., Ltd. Welding stability assessment apparatus for pulsed arc welding
US6624388B1 (en) 2001-01-25 2003-09-23 The Lincoln Electric Company System and method providing distributed welding architecture
US6647288B2 (en) 2001-02-09 2003-11-11 Peter V. Madill Method and apparatus for designing a workstation
USD482171S1 (en) 2002-12-13 2003-11-11 One World Technologies Limited Drill container
US6649858B2 (en) 2001-07-17 2003-11-18 Illinois Tool Works Inc. Multi-application welding system and method
JP2003326362A (en) 2002-03-04 2003-11-18 Kawasaki Heavy Ind Ltd Automatic beveling copy-welding apparatus and method
US6655645B1 (en) 2002-12-31 2003-12-02 Shin Zu Shing Co., Ltd. Automatically adjusting support for an LCD monitor
US6697701B2 (en) 2001-08-09 2004-02-24 Lincoln Global, Inc. Welding system and methodology providing multiplexed cell control interface
US6697770B1 (en) 1997-06-05 2004-02-24 Abaqus, Inc. Computer process for prescribing second-order tetrahedral elements during deformation simulation in the design analysis of structures
US20040035990A1 (en) 2000-06-27 2004-02-26 Peter Ackeret Holder for presenting at least one elongate multi-purpose hand-held unit
US6703585B2 (en) 2001-09-20 2004-03-09 Central Motor Wheel Co., Ltd. Arc welding quality evaluation apparatus
US20040050824A1 (en) 2002-09-16 2004-03-18 Samler Gary R. Welding torch having collet and backcap adapted for securing engagement and method for operating same
US6715502B1 (en) 2001-05-25 2004-04-06 Motorvac Technologies, Inc. Automatic fuel system cleaner
USD490347S1 (en) 2002-03-19 2004-05-25 Sbs Enterprises, Llc Ornamental housing
US6744011B1 (en) 2002-11-26 2004-06-01 General Motors Corporation Online monitoring system and method for a short-circuiting gas metal arc welding process
US6750428B2 (en) 1999-12-10 2004-06-15 Kabushiki Kaisha Yaskawa Denki Automatic welding device and welding skill training device
US6772802B2 (en) 2001-10-29 2004-08-10 Norco Industries Inc. Fluid servicing apparatus with integrated manifold and pump assembly
US6795778B2 (en) 2001-05-24 2004-09-21 Lincoln Global, Inc. System and method for facilitating welding system diagnostics
US6798974B1 (en) 1999-12-02 2004-09-28 Sony Corporation Signal supplying apparatus, signal processing method and record medium
US20040217096A1 (en) * 2003-04-29 2004-11-04 Lincoln Global, Inc. Robotic cylinder welding
US6857553B1 (en) 2002-04-17 2005-02-22 The United States Of America As Represented By The United States Department Of Energy Method and apparatus for in-process sensing of manufacturing quality
FR2827066B1 (en) 2001-07-04 2005-04-08 Ass Nationale Pour La Formatio A simulation device and method for learning a manual technique, in particular the arc welding
USD504449S1 (en) 2003-12-18 2005-04-26 Joseph R. Butchko Express garage
US20050101767A1 (en) 2001-11-08 2005-05-12 David Clapham Bacterial ion channel and a method for screening ion channel modulators
US20050103767A1 (en) 2001-01-25 2005-05-19 Lincoln Global, Inc. System and method providing automated welding notification
US20050109735A1 (en) 2003-11-20 2005-05-26 Flood Dale A. Process for welding
US20050133488A1 (en) 2003-12-22 2005-06-23 Lincoln Global, Inc. Quality control module for tandem arc welding
US20050189336A1 (en) 2004-03-01 2005-09-01 Ju-Ching Ku Electrode holder
US6940037B1 (en) * 2003-08-25 2005-09-06 Southern Methodist University System and method for controlling welding parameters in welding-based deposition processes
US20050199602A1 (en) 2001-04-02 2005-09-15 Ahmed Kaddani Arc welding method
US20050230573A1 (en) 2003-05-23 2005-10-20 Peter Ligertwood Stand
US20050252897A1 (en) 2003-07-09 2005-11-17 Lincoln Global, Inc. Welding wire positioning system
US20050275914A1 (en) 2004-06-01 2005-12-15 Vesely Michael A Binaural horizontal perspective hands-on simulator
US20060014130A1 (en) 2004-07-17 2006-01-19 Weinstein Pini A System and method for diagnosing deficiencies and assessing knowledge in test responses
WO2006034571A1 (en) 2004-09-27 2006-04-06 Claude Choquet Body motion training and qualification system and method
US20060136183A1 (en) 2002-12-19 2006-06-22 123Certification Inc. Virtual simulator method and system for neuromuscular training and certification via a communication network
US20060163227A1 (en) 2005-01-21 2006-07-27 Lincoln Global, Inc. Integrating sensors over a digital link
US20060173619A1 (en) 2005-02-03 2006-08-03 Lincoln Global, Inc. Construction equipment discovery on a network
US20060169682A1 (en) 2005-02-03 2006-08-03 Lincoln Global, Inc. Triggering events in a welder with a real-time clock
US20060207980A1 (en) 2005-03-15 2006-09-21 Lincoln Global, Inc. Comprehensive identification and designation of welding procedures
US20060213892A1 (en) 2005-03-23 2006-09-28 Ott Brian L System and method for data communications over a gas hose in a welding-type application
JP2006281270A (en) 2005-03-31 2006-10-19 Toshiba Corp Hand welding analyzer and hand welding torch-integrated type monitoring camera applicable to the analyzer
US7132617B2 (en) 2002-02-20 2006-11-07 Daimlerchrysler Corporation Method and system for assessing quality of spot welds
US20060258447A1 (en) 2005-05-11 2006-11-16 Baszucki David B Online building toy
US20070034611A1 (en) 2003-03-25 2007-02-15 Francesco Drius System and method for self-adaptive on-line control of a flash-butt-welding machine
US20070045488A1 (en) 2005-08-31 2007-03-01 Jong-Hwa Shin Display apparatus
US7194447B2 (en) 2003-12-09 2007-03-20 Illinois Tool Works Inc. System and method for processing welding data
DE102005047204A1 (en) 2005-10-01 2007-04-05 Daimlerchrysler Ag Programming method for industrial robot, involves realization of web-based process of industrial robot using robot arm with functioning device
WO2007039278A1 (en) 2005-10-06 2007-04-12 Kuka Roboter Gmbh Method for determining a virtual tool center point
US20070088536A1 (en) 2005-10-14 2007-04-19 Fujitsu Limited Analysis data judging apparatus, simulation system and simulation program
ES2274736A1 (en) 2006-06-29 2007-05-16 Fundacio Privada Universitat I Tecnologia Weld simulation device has simulated welding torch and simulated welding equipment that are connected to control system through communication device
US20070198117A1 (en) 2006-02-17 2007-08-23 Nasir Wajihuddin Interactive custom design and building of toy vehicle
US20070211026A1 (en) 2006-03-09 2007-09-13 Nintendo Co., Ltd. Coordinate calculating apparatus and coordinate calculating program
US20070221797A1 (en) 2006-03-24 2007-09-27 Cooper Technologies Company Worklight Stand With Worklight Coupling Means
JP2007290025A (en) 2006-03-31 2007-11-08 Daihen Corp Controller for robot
US20070256503A1 (en) 2006-04-18 2007-11-08 Agency For Science, Technology And Research Bend testing apparatus and method of carrying out the same
USD555446S1 (en) 2006-03-27 2007-11-20 Rothenberger, S.A. Blow torch
US20070277611A1 (en) 2004-01-16 2007-12-06 Niels Portzgen Method and Apparatus for Examining the Interior Material of an Object, Such as a Pipeline or a Human Body From a Surface of the Object Using Ultrasound
US20070291035A1 (en) 2004-11-30 2007-12-20 Vesely Michael A Horizontal Perspective Representation
USD561973S1 (en) 2007-03-02 2008-02-12 Bretford Manufacturing, Inc. Electronic device storage cart
EP1527852B1 (en) 2003-10-31 2008-03-12 Fanuc Ltd Industrial robot with imaging device accomodated in end-effector supporting mechanism
US20080061113A9 (en) * 2001-02-14 2008-03-13 Honda Giken Kogyo Kabushiki Kaisha Welding condition monitoring device
US20080078811A1 (en) 2006-09-15 2008-04-03 The Lincoln Electric Company Weld data acquisition
US20080078812A1 (en) 2006-09-19 2008-04-03 Lincoln Global, Inc. Non-linear adaptive control system and method for welding
US7353715B2 (en) 2004-12-03 2008-04-08 General Electric Company System, apparatus and method for testing under applied and reduced loads
US20080117203A1 (en) 2006-11-16 2008-05-22 David Thomas Gering Methods and Apparatus for Visualizing Data
US20080128398A1 (en) 2005-08-05 2008-06-05 Darryl Douglas Schneider Electrode holder
US20080140815A1 (en) 2006-12-12 2008-06-12 The Lincoln Electric Company Network Device Location and Configuration
US20080135533A1 (en) 2006-12-06 2008-06-12 Ertmer Jonathan R Elevated welding-type cable support system
US20080149686A1 (en) 2006-12-20 2008-06-26 Lincoln Global, Inc. Welding Job Sequencer
CN201083660Y (en) 2007-09-24 2008-07-09 宝山钢铁股份有限公司 Band steel bending test apparatus
US7414595B1 (en) 2003-12-07 2008-08-19 Advanced Simulation Displays Co. Virtual mosaic wide field of view display system
US20080203075A1 (en) 2007-02-27 2008-08-28 Feldhausen Joseph E Portable structural welding system having integrated resources
US20080233550A1 (en) 2007-01-23 2008-09-25 Advanced Fuel Research, Inc. Method and apparatus for technology-enhanced science education
US7465230B2 (en) 2001-08-09 2008-12-16 Igt Virtual cameras and 3-D gaming environments in a gaming machine
US20080314887A1 (en) 2005-07-15 2008-12-25 Markus Stoger Welding Method and Welding System With Determination of the Position of the Welding Torch
US20090015585A1 (en) 2007-05-22 2009-01-15 Mark Klusza Raster image data association with a three dimensional model
KR20090010693A (en) 2007-07-24 2009-01-30 기재석 Welding simulation system
US20090057286A1 (en) 2007-03-19 2009-03-05 Hideki Ihara Welding device
USD587975S1 (en) 2007-10-11 2009-03-10 Ronson Corporation Torch
CN201229711Y (en) 2008-06-17 2009-04-29 邹城市技工学校 Multifunction welder training operation bench
WO2009060231A1 (en) 2007-11-05 2009-05-14 The Validation Centre (Tvc) Limited Arc welding simulator
US20090152251A1 (en) 2007-12-18 2009-06-18 Illinois Tool Works Inc. Personalized interface for torch system and method
US20090173726A1 (en) 2008-01-09 2009-07-09 Robert Raimund Davidson Automatic Weld Arc Monitoring System
JP2009160636A (en) 2008-01-10 2009-07-23 Ueno Technica:Kk Welding simulation program, welding simulation device, and welding simulation method
US20090184098A1 (en) 2006-12-05 2009-07-23 Lincoln Global, Inc. System for measuring energy using digitally controlled welding power sources
US20090200282A1 (en) 2008-02-08 2009-08-13 Gm Global Technology Operations, Inc. Weld signature monitoring method and apparatus
US20090200281A1 (en) 2008-02-08 2009-08-13 Gm Global Technology Operations, Inc. Welding power supply with neural network controls
RU2008108601A (en) 2007-12-20 2009-09-10 Государственный научно-инженерный центр сварки и контроля в области атомной энергетики Украины Института электросварки им. Е.О. Патона Arc welding simulator
US20090231423A1 (en) 2008-03-14 2009-09-17 Illinois Tool Works Inc. Video recording device for a welder's helmet
USD602057S1 (en) 2008-11-24 2009-10-13 Lincoln Global, Inc. Welding cell
KR20090010693U (en) 2008-04-16 2009-10-21 이희모 Wood Panel Glass photoframe using Adhesive tape
CN101571887A (en) 2009-06-16 2009-11-04 哈尔滨工业大学 Finite element prediction system for welding and solidifying crack in virtual environment
CN101587659A (en) 2009-06-29 2009-11-25 西安交通大学 Simulation training device for manual arc welding rod-moving operation, and arc welding rod-moving detection method
US20090298024A1 (en) 2008-05-28 2009-12-03 Todd Batzler Welding training system
USD606102S1 (en) 2008-10-03 2009-12-15 Lincoln Global, Inc. Engine welder frame
WO2009149740A1 (en) 2008-06-09 2009-12-17 Abb Technology Ab A method and a system for facilitating calibration of an off-line programmed robot cell
US7643890B1 (en) 2005-01-13 2010-01-05 Lincoln Global, Inc. Remote management of portable construction devices
WO2010000003A2 (en) 2008-07-04 2010-01-07 Fronius International Gmbh Device and method for simulating a welding process
US20100012637A1 (en) 2008-07-16 2010-01-21 Illinois Tool Works Inc. Robotic gmaw torch with quick release gooseneck locking mechanism, dual alignment features, and multiple electrical contacts
US20100048273A1 (en) 2008-08-21 2010-02-25 Lincoln Global, Inc. Welding simulator
US20100062405A1 (en) 2008-08-21 2010-03-11 Lincoln Global, Inc. System and method providing arc welding training in a real-time simulated virtual reality environment using real-time weld puddle feedback
US20100062406A1 (en) 2008-08-21 2010-03-11 Lincoln Global, Inc. Virtual reality pipe welding simulator
USD614217S1 (en) 2009-07-10 2010-04-20 Lincoln Global, Inc. Simulator welding coupon stand
US20100096373A1 (en) 2005-09-15 2010-04-22 Lincoln Global, Inc. System and method for controlling a hybrid welding process
USD615573S1 (en) 2009-07-10 2010-05-11 Lincoln Global, Inc. Welding electrode holder
US20100133247A1 (en) * 2008-11-21 2010-06-03 Jyoti Mazumder Monitoring of a welding process
US20100176107A1 (en) 2009-01-12 2010-07-15 Bong William L System and method for electroslag welding spliced vertical box columns
US20100201803A1 (en) 2009-02-09 2010-08-12 Recognition Robotics Work piece tracking system and method
CN101419755B (en) 2008-12-17 2010-08-18 Ji Ruixing Multifunctional simulation training apparatus for welding
WO2010091493A1 (en) 2009-02-10 2010-08-19 Optosecurity Inc. Method and system for performing x-ray inspection of a product at a security checkpoint using simulation
US20100224610A1 (en) 2009-03-09 2010-09-09 Lincoln Global, Inc. System for tracking and analyzing welding activity
US20100276396A1 (en) 2006-03-21 2010-11-04 Paul Cooper Apparatus and method for welding
US20100307249A1 (en) 2007-12-21 2010-12-09 V & M France Non-destructive testing, in particular for pipes during manufacture or in the finished state
US20110006047A1 (en) 2009-07-08 2011-01-13 Victor Matthew Penrod Method and system for monitoring and characterizing the creation of a manual weld
USD631074S1 (en) 2009-07-10 2011-01-18 Lincoln Global, Inc. Welding simulator console
US20110060568A1 (en) 2009-06-05 2011-03-10 Jentek Sensors, Inc. Component Adaptive Life Management
US20110114615A1 (en) 2009-11-13 2011-05-19 Lincoln Global, Inc. Systems, methods, and apparatuses for monitoring weld quality
US20110117527A1 (en) 2009-07-08 2011-05-19 Edison Welding Institute, Inc. Welding training system
WO2011067447A1 (en) 2009-12-03 2011-06-09 Andare Ingenieros, S.L. Simulation system for electric and inert-gas arc welding
FR2926660B1 (en) 2008-01-18 2011-06-10 Renault Sas Training apparatus with a manual technique by an operator
US20110183304A1 (en) 2009-07-10 2011-07-28 Lincoln Global, Inc. Virtual testing and inspection of a virtual weldment
US7991587B2 (en) 2007-08-17 2011-08-02 The Boeing Company Method and apparatus for modeling responses of a material to various inputs
US8069017B2 (en) 2008-09-25 2011-11-29 Livermore Software Technology Corporation Method of initializing bolt pretension in a finite element analysis
DE102010038902B4 (en) 2010-08-04 2012-02-16 SCHWEIßTECHNISCHE LEHR- UND VERSUCHSANSTALT HALLE GMBH Method and device to support the formation of a manual welder
GB2454232B (en) 2007-11-01 2012-04-25 Validation Ct Tvc Ltd Welding support system
US20120189993A1 (en) 2009-07-10 2012-07-26 Lincoln Global, Inc. Virtual welding system
US8265886B2 (en) 2006-06-30 2012-09-11 V & M France Non-destructive testing, in particular for pipes during manufacture or in the finished state
WO2012143327A1 (en) 2011-04-21 2012-10-26 European Aeronautic Defence And Space Company Eads France Method of simulating operations of non-destructive testing under real conditions using synthetic signals
WO2013014202A1 (en) 2011-07-28 2013-01-31 Nuovo Pignone S.P.A. Gas turbine life prediction and optimization device and method
JP5329645B2 (en) 2008-05-01 2013-10-30 マルティマティック インコーポレイティッド Auxiliary hydraulic system of the vehicle
EP1905533B1 (en) 2006-09-27 2013-11-06 Lorch Schweisstechnik GmbH Method for calibrating the control value of a welding device and welding device for implementing the method

Patent Citations (264)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US1159119A (en) 1915-04-21 1915-11-02 Charles Springer Welding-torch.
US2681969A (en) 1950-12-26 1954-06-22 Erico Prod Inc Welding electrode holder
US2728838A (en) 1953-10-13 1955-12-27 Chalma V Barnes Welding electrode holder
US2894086A (en) 1957-11-29 1959-07-07 Leo Vigne Arc welding electrode holder with safety shutoff
US3035155A (en) 1960-04-08 1962-05-15 Thore C Hawk Welding torch
US3356823A (en) 1964-07-10 1967-12-05 John W Waters Arc welding electrode holder
US3555239A (en) 1966-11-16 1971-01-12 William J Kerth Welding machine with digital pulse control
US3621177A (en) 1968-12-09 1971-11-16 Ca Atomic Energy Ltd Method and apparatus for tig tube welding
US3654421A (en) 1970-09-22 1972-04-04 Foy J Streetman Gouger attachment for conventional electrode holder
US3739140A (en) 1971-09-20 1973-06-12 J Rotilio Combination welding torch
US3866011A (en) 1973-07-09 1975-02-11 Edgar C Cole Instructional apparatus for underwater welding
US3867769A (en) 1973-08-06 1975-02-25 Harvey B Schow Arc welding simulator trainer
US3904845A (en) 1973-08-22 1975-09-09 Etpm Method and device for simulating welding operations
US4024371A (en) 1974-12-18 1977-05-17 Kelsey-Hayes Company Welding monitoring and control system
GB1455972A (en) 1975-01-07 1976-11-17 Schow H B Simulator trainer
USD243459S (en) 1975-04-10 1977-02-22 Saban Electric Corporation Welding machine
GB1511608A (en) 1975-06-03 1978-05-24 Akers Mek Verksted As Device for programming a manipulator
US4041615A (en) 1976-08-03 1977-08-16 Joseph Whitehill Small-motion test device
USD247421S (en) 1977-01-21 1978-03-07 Electrode holder
US4132014A (en) 1977-06-20 1979-01-02 Schow Harvey B Welding simulator spot designator system
US4124944A (en) 1977-07-08 1978-11-14 Lenco, Inc. Device for teaching and evaluating a person's skill as a welder
US4280041A (en) 1977-09-15 1981-07-21 Messer Griesheim Apparatus for arc welding or plasma cutting
US4280137A (en) 1978-01-25 1981-07-21 Hitachi, Ltd. Method and apparatus for automatically controlling arc welding
US4314125A (en) 1978-02-13 1982-02-02 Matsuichi Nakamura Electric seam welding device in the production equipment of hot-dip metal-coated steel tubes
DE2833638A1 (en) 1978-08-01 1980-02-28 Schlatter Ag Robot hand programming system - uses frame with guide handle mounted on hand via force sensors
US4237365A (en) 1978-12-06 1980-12-02 Emerson Electric Co. Combination arc brazing and welding electrode holder
DE3046634C2 (en) 1980-12-11 1983-01-13 Kuka Schweissanlagen + Roboter Gmbh, 8900 Augsburg, De
US4429266A (en) 1980-12-11 1984-01-31 Kuka Schweissanlagen & Roboter Gmbh Method of controlling an industrial robot
US4452589A (en) 1981-08-14 1984-06-05 Denison Tom G Arc welding simulator
USD277761S (en) 1981-08-27 1985-02-26 Automatic circuit-plate assembler
US4410787A (en) 1981-08-31 1983-10-18 Sri International Image acquisition apparatus and process
USD275292S (en) 1982-08-19 1984-08-28 Century Mfg. Co. Welding machine
EP0108599B1 (en) 1982-11-01 1988-12-28 National Research Development Corporation Automatic welding
DE3244307A1 (en) 1982-11-30 1984-05-30 Siemens Ag robot control
US4616326A (en) 1982-11-30 1986-10-07 Siemens Aktiengesellschaft Self optimizing robot controller
EP0127299A1 (en) 1983-05-25 1984-12-05 General Motors Corporation Method of predicting the quality of a resistance spot weld
USD280329S (en) 1983-07-25 1985-08-27 Century Mfg. Co. Welding machine
EP0145891A1 (en) 1983-11-30 1985-06-26 ARMCO S.p.A. Automatic electrowelding machine
US4611111A (en) 1985-01-22 1986-09-09 General Electric Company Method to determine weld puddle area and width from vision measurements
USD297704S (en) 1985-03-11 1988-09-20 Miniature welding torch with disposable tip
DE3522581C2 (en) 1985-06-24 1989-07-13 Eke Robotersysteme Gmbh, 8000 Muenchen, De
US4707582A (en) 1985-06-24 1987-11-17 Hasso Beyer Method and apparatus for operating an industrial robot with sensor-correction
US4677277A (en) 1985-11-08 1987-06-30 Cook Marvin D Arc welding instruction monitor
US4680014A (en) 1985-11-21 1987-07-14 Institute Problem Modelirovania V Energetike A An Ussr Welder's trainer
US4716273A (en) 1985-12-30 1987-12-29 Institute Problem Modelirovania V Energetike Akademii Nauk Ukrainskoi SSR Electric-arc trainer for welders
US4689021A (en) 1986-10-14 1987-08-25 Institute Problem Modelirovaniya V Energetike An Ukr.Ssr Spark trainer for welders
US4877940A (en) 1987-06-30 1989-10-31 Iit Research Institute Using infrared imaging to monitor and control welding
US4867685A (en) 1987-09-24 1989-09-19 The Trustees Of The College Of Aeronautics Audio visual instructional system
EP0319623B1 (en) 1987-12-10 1990-10-17 United Kingdom Atomic Energy Authority Apparatus for simulating inspection equipment
US4931018A (en) 1987-12-21 1990-06-05 Lenco, Inc. Device for training welders
GB2254172B (en) 1988-02-15 1992-12-16 Amada Co Ltd Welding robot
US4907973A (en) 1988-11-14 1990-03-13 Hon David C Expert system simulator for modeling realistic internal environments and performance
US4897521A (en) 1989-03-01 1990-01-30 The United States Of America As Represented By The United States Department Of Energy Weld arc simulator
US5206472A (en) 1989-06-12 1993-04-27 Reidar Myking System for use in electrode welding and gas/arc welding
US5192845A (en) 1989-10-27 1993-03-09 Innovationsgesellschaft fur Fortgeschrittene-Produktionssysteme in der Fahrzeugindustrie mbH Process and device for automatic determination of parameters for process control systems with unknown transfer behavior, in particular for process control systems for resistance spot welding
US5670071A (en) 1990-04-17 1997-09-23 Daihen Corporation MAG arc welding apparatus
US5370071A (en) 1991-09-11 1994-12-06 Union Special Corporation Lap seamer device for sewing machine
US5360156A (en) 1992-03-25 1994-11-01 Kabushiki Kaisha Meidensha Welding management apparatus
US5360960A (en) 1992-06-26 1994-11-01 Trw Inc. Light intensity weld monitor
US5320538A (en) 1992-09-23 1994-06-14 Hughes Training, Inc. Interactive aircraft training system and method
US5337611A (en) 1992-12-02 1994-08-16 Electric Power Research Institute Method of simulating ultrasonic inspection of flaws
US5464957A (en) 1993-01-27 1995-11-07 The Babcock & Wilcox Company Manual arc welding speed pacer
US5424634A (en) 1994-02-18 1995-06-13 International Business Machines Corporation Non-destructive flex testing method and means
USD359296S (en) 1994-04-29 1995-06-13 Solvent Recovery Technology, Inc. Solvent recovery system
US5845053A (en) 1994-10-25 1998-12-01 Fanuc Ltd. Method for teaching welding torch orientation
USD365583S (en) 1995-03-03 1995-12-26 Transmission fluid exchange control cabinet
US5676503A (en) 1995-05-24 1997-10-14 Lang; Armand Drill stand with an automatic advancement device for a drilling machine
US5708253A (en) 1995-06-07 1998-01-13 Hill Technical Services, Inc. Apparatus and method for computerized interactive control, measurement and documentation of arc welding
US6155475A (en) 1995-12-22 2000-12-05 Esab Ab Method for automatic multi-layer welding
US5676867A (en) 1995-12-28 1997-10-14 Emhart Inc. Apparatus and method for monitoring and evaluating weld quality
DE19615069A1 (en) 1996-04-17 1997-10-23 Hannover Laser Zentrum Procedure for panning machine tool esp. laser beam cutter using edge tracking on workpiece
USD392534S (en) 1996-09-23 1998-03-24 Wolfcraft Gmbh Drill stand
US6049059A (en) 1996-11-18 2000-04-11 Samsung Electronics Co., Ltd. Vision processing method and device for welding line auto-tracking
USD396238S (en) 1997-03-14 1998-07-21 Cylinder heating cabinet
WO1998045078A1 (en) 1997-04-08 1998-10-15 The University Of Sydney Weld quality measurement
US6697770B1 (en) 1997-06-05 2004-02-24 Abaqus, Inc. Computer process for prescribing second-order tetrahedral elements during deformation simulation in the design analysis of structures
US6445964B1 (en) 1997-08-04 2002-09-03 Harris Corporation Virtual reality simulation-based training of telekinegenesis system for training sequential kinematic behavior of automated kinematic machine
US6271500B1 (en) 1997-08-08 2001-08-07 Kabushiki Kaisha Yaskawa Denki Arc welding monitoring device
DE19739720C1 (en) 1997-09-10 1998-10-22 Roman Eissfeller Gmbh Automatic welding unit for high precision welding
US6330966B1 (en) 1997-09-10 2001-12-18 Roman Eissfeller Gmbh Automatic welding machine
US5823785A (en) 1997-10-27 1998-10-20 Matherne, Jr.; Lee Simulator for pipe welding
US6051805A (en) 1998-01-20 2000-04-18 Air Liquide Canada Methods and apparatus for welding performance measurement
US6008470A (en) 1998-03-26 1999-12-28 University Of Kentucky Research Foundation Method and system for gas metal arc welding
US6155928A (en) 1998-05-19 2000-12-05 The Coca-Cola Company Modular portable gaming simulator systems and methods
US6330938B1 (en) 1998-06-15 2001-12-18 Automobile, Peugeot Method and device for controlling an electric actuator activating a functional system
US20020085843A1 (en) 1998-10-29 2002-07-04 Mann W. Stephen G. Wearable camera system with viewfinder means
JP2000167666A (en) 1998-12-04 2000-06-20 Hitachi Ltd Automatic welding, defect repair method and automatic welding equipment
US6236017B1 (en) 1999-07-01 2001-05-22 Bechtel Bwxt Idaho, Llc Method and apparatus for assessing weld quality
JP2001071140A (en) 1999-09-02 2001-03-21 Toshiba Corp Device and method for supporting manual welding and device and method for training manual welding
US6798974B1 (en) 1999-12-02 2004-09-28 Sony Corporation Signal supplying apparatus, signal processing method and record medium
US6750428B2 (en) 1999-12-10 2004-06-15 Kabushiki Kaisha Yaskawa Denki Automatic welding device and welding skill training device
US6660965B2 (en) 1999-12-15 2003-12-09 The University Of Sydney Welding assessment
WO2001043910A1 (en) 1999-12-15 2001-06-21 The University Of Sydney Welding assessment
US6242711B1 (en) 1999-12-27 2001-06-05 Accudata, Inc. Arc welding monitoring system
US7021937B2 (en) 2000-04-14 2006-04-04 Viretek Race car simulator
US20020032553A1 (en) 2000-04-14 2002-03-14 Barry Simpson Race car simulator
US20010045808A1 (en) 2000-05-27 2001-11-29 Gerhard Hietmann Robot hand flange
DE20009543U1 (en) 2000-05-27 2001-08-02 Kuka Roboter Gmbh Hand flange of a robot hand
US20030172032A1 (en) 2000-06-22 2003-09-11 Claude Choquet Electronic virtual certification by data processing method via a communication network
US20040035990A1 (en) 2000-06-27 2004-02-26 Peter Ackeret Holder for presenting at least one elongate multi-purpose hand-held unit
US20020046999A1 (en) 2000-08-29 2002-04-25 Mikko Veikkolainen Welding arrangement and method
US6506997B2 (en) 2000-09-21 2003-01-14 Massachusetts Institute Of Technology Spot welding system and method for sensing welding conditions in real time
US6568846B1 (en) 2000-11-15 2003-05-27 The United States Of America As Represented By The Secretary Of The Army Pulsed laser heating simulation of thermal damage on coated surface
US6441342B1 (en) 2000-11-20 2002-08-27 Lincoln Global, Inc. Monitor for electric arc welder
US20030000931A1 (en) 2000-12-07 2003-01-02 Koji Ueda Control method of arc welding and arc welder
US6583386B1 (en) * 2000-12-14 2003-06-24 Impact Engineering, Inc. Method and system for weld monitoring and tracking
US6624388B1 (en) 2001-01-25 2003-09-23 The Lincoln Electric Company System and method providing distributed welding architecture
US7375304B2 (en) 2001-01-25 2008-05-20 Lincoln Global, Inc. System and method providing automated welding notification
US20050103767A1 (en) 2001-01-25 2005-05-19 Lincoln Global, Inc. System and method providing automated welding notification
US6647288B2 (en) 2001-02-09 2003-11-11 Peter V. Madill Method and apparatus for designing a workstation
US20080061113A9 (en) * 2001-02-14 2008-03-13 Honda Giken Kogyo Kabushiki Kaisha Welding condition monitoring device
US20050199602A1 (en) 2001-04-02 2005-09-15 Ahmed Kaddani Arc welding method
US6621049B2 (en) 2001-04-26 2003-09-16 Central Motor Wheel Co., Ltd. Welding stability assessment apparatus for pulsed arc welding
USD456428S1 (en) 2001-05-07 2002-04-30 Ronson Corporation Torch
USD456828S1 (en) 2001-05-07 2002-05-07 Ronson Corporation Torch
US6795778B2 (en) 2001-05-24 2004-09-21 Lincoln Global, Inc. System and method for facilitating welding system diagnostics
US6715502B1 (en) 2001-05-25 2004-04-06 Motorvac Technologies, Inc. Automatic fuel system cleaner
US6552303B1 (en) 2001-05-29 2003-04-22 Lincoln Global, Inc. System for enabling arc welders
US6858817B2 (en) 2001-05-29 2005-02-22 Lincoln Global, Inc. System for enabling arc welders
US20040140301A1 (en) 2001-05-29 2004-07-22 Lincoln Global, Inc., A Delaware Corporation System for enabling arc welders
US6710299B2 (en) 2001-05-29 2004-03-23 Lincoln Global, Inc. System for enabling arc welders
US20030111451A1 (en) 2001-05-29 2003-06-19 Lincoln Global, Inc., A Delaware Corporation System for enabling arc welders
FR2827066B1 (en) 2001-07-04 2005-04-08 Ass Nationale Pour La Formatio A simulation device and method for learning a manual technique, in particular the arc welding
US6649858B2 (en) 2001-07-17 2003-11-18 Illinois Tool Works Inc. Multi-application welding system and method
US6697701B2 (en) 2001-08-09 2004-02-24 Lincoln Global, Inc. Welding system and methodology providing multiplexed cell control interface
US7465230B2 (en) 2001-08-09 2008-12-16 Igt Virtual cameras and 3-D gaming environments in a gaming machine
US6920371B2 (en) 2001-08-09 2005-07-19 Lincoln Global, Inc. Welding system and methodology providing multiplexed cell control interface
US6703585B2 (en) 2001-09-20 2004-03-09 Central Motor Wheel Co., Ltd. Arc welding quality evaluation apparatus
USD461383S1 (en) 2001-09-27 2002-08-13 Sunex International, Inc. Heat gun with positioning stand therefor
JP2003200372A (en) 2001-10-23 2003-07-15 Fuji Electric Co Ltd Remote control type cutting robot
US6772802B2 (en) 2001-10-29 2004-08-10 Norco Industries Inc. Fluid servicing apparatus with integrated manifold and pump assembly
US20050101767A1 (en) 2001-11-08 2005-05-12 David Clapham Bacterial ion channel and a method for screening ion channel modulators
US7132617B2 (en) 2002-02-20 2006-11-07 Daimlerchrysler Corporation Method and system for assessing quality of spot welds
US20070038400A1 (en) 2002-02-20 2007-02-15 Hsu-Tung Lee Method And System For Assessing Quality Of Spot Welds
US7516022B2 (en) 2002-02-20 2009-04-07 Chrysler Llc Method and system for assessing quality of spot welds
JP2003326362A (en) 2002-03-04 2003-11-18 Kawasaki Heavy Ind Ltd Automatic beveling copy-welding apparatus and method
US20050103766A1 (en) 2002-03-04 2005-05-19 Takahisa Iizuka Automatic groove copy welder and welding method
USD490347S1 (en) 2002-03-19 2004-05-25 Sbs Enterprises, Llc Ornamental housing
US6857553B1 (en) 2002-04-17 2005-02-22 The United States Of America As Represented By The United States Department Of Energy Method and apparatus for in-process sensing of manufacturing quality
USD475726S1 (en) 2002-05-28 2003-06-10 Denyo Co., Ltd. Engine-driven welding machine
US20040050824A1 (en) 2002-09-16 2004-03-18 Samler Gary R. Welding torch having collet and backcap adapted for securing engagement and method for operating same
US6744011B1 (en) 2002-11-26 2004-06-01 General Motors Corporation Online monitoring system and method for a short-circuiting gas metal arc welding process
USD482171S1 (en) 2002-12-13 2003-11-11 One World Technologies Limited Drill container
US20060136183A1 (en) 2002-12-19 2006-06-22 123Certification Inc. Virtual simulator method and system for neuromuscular training and certification via a communication network
US6655645B1 (en) 2002-12-31 2003-12-02 Shin Zu Shing Co., Ltd. Automatically adjusting support for an LCD monitor
US20070034611A1 (en) 2003-03-25 2007-02-15 Francesco Drius System and method for self-adaptive on-line control of a flash-butt-welding machine
US20040217096A1 (en) * 2003-04-29 2004-11-04 Lincoln Global, Inc. Robotic cylinder welding
US20050230573A1 (en) 2003-05-23 2005-10-20 Peter Ligertwood Stand
US20050252897A1 (en) 2003-07-09 2005-11-17 Lincoln Global, Inc. Welding wire positioning system
US6940037B1 (en) * 2003-08-25 2005-09-06 Southern Methodist University System and method for controlling welding parameters in welding-based deposition processes
EP1527852B1 (en) 2003-10-31 2008-03-12 Fanuc Ltd Industrial robot with imaging device accomodated in end-effector supporting mechanism
US7170032B2 (en) 2003-11-20 2007-01-30 Tri Tool Inc. Process for welding
US20050109735A1 (en) 2003-11-20 2005-05-26 Flood Dale A. Process for welding
US7414595B1 (en) 2003-12-07 2008-08-19 Advanced Simulation Displays Co. Virtual mosaic wide field of view display system
US7194447B2 (en) 2003-12-09 2007-03-20 Illinois Tool Works Inc. System and method for processing welding data
USD504449S1 (en) 2003-12-18 2005-04-26 Joseph R. Butchko Express garage
US20050133488A1 (en) 2003-12-22 2005-06-23 Lincoln Global, Inc. Quality control module for tandem arc welding
US6940039B2 (en) 2003-12-22 2005-09-06 Lincoln Global, Inc. Quality control module for tandem arc welding
US20070277611A1 (en) 2004-01-16 2007-12-06 Niels Portzgen Method and Apparatus for Examining the Interior Material of an Object, Such as a Pipeline or a Human Body From a Surface of the Object Using Ultrasound
US20050189336A1 (en) 2004-03-01 2005-09-01 Ju-Ching Ku Electrode holder
US20050275914A1 (en) 2004-06-01 2005-12-15 Vesely Michael A Binaural horizontal perspective hands-on simulator
US20050275913A1 (en) 2004-06-01 2005-12-15 Vesely Michael A Binaural horizontal perspective hands-on simulator
US20060014130A1 (en) 2004-07-17 2006-01-19 Weinstein Pini A System and method for diagnosing deficiencies and assessing knowledge in test responses
US20080038702A1 (en) 2004-09-27 2008-02-14 Claude Choquet Body Motion Training and Qualification System and Method
WO2006034571A1 (en) 2004-09-27 2006-04-06 Claude Choquet Body motion training and qualification system and method
US20070291035A1 (en) 2004-11-30 2007-12-20 Vesely Michael A Horizontal Perspective Representation
US7353715B2 (en) 2004-12-03 2008-04-08 General Electric Company System, apparatus and method for testing under applied and reduced loads
US7643890B1 (en) 2005-01-13 2010-01-05 Lincoln Global, Inc. Remote management of portable construction devices
US20060163227A1 (en) 2005-01-21 2006-07-27 Lincoln Global, Inc. Integrating sensors over a digital link
US7363137B2 (en) 2005-02-03 2008-04-22 Lincoln Global, Inc. Construction equipment discovery on a network
US7687741B2 (en) 2005-02-03 2010-03-30 Lincoln Global, Inc. Triggering events in a welder with a real-time clock
US20060169682A1 (en) 2005-02-03 2006-08-03 Lincoln Global, Inc. Triggering events in a welder with a real-time clock
US20060173619A1 (en) 2005-02-03 2006-08-03 Lincoln Global, Inc. Construction equipment discovery on a network
US20060207980A1 (en) 2005-03-15 2006-09-21 Lincoln Global, Inc. Comprehensive identification and designation of welding procedures
US7247814B2 (en) 2005-03-23 2007-07-24 Illinois Tool Works Inc. System and method for data communications over a gas hose in a welding-type application
US20060213892A1 (en) 2005-03-23 2006-09-28 Ott Brian L System and method for data communications over a gas hose in a welding-type application
JP2006281270A (en) 2005-03-31 2006-10-19 Toshiba Corp Hand welding analyzer and hand welding torch-integrated type monitoring camera applicable to the analyzer
US7874921B2 (en) 2005-05-11 2011-01-25 Roblox Corporation Online building toy
US20060258447A1 (en) 2005-05-11 2006-11-16 Baszucki David B Online building toy
US20080314887A1 (en) 2005-07-15 2008-12-25 Markus Stoger Welding Method and Welding System With Determination of the Position of the Welding Torch
JP2009500178A (en) 2005-07-15 2009-01-08 フロニウス・インテルナツィオナール・ゲゼルシャフト・ミット・ベシュレンクテル・ハフツングFronius International Gmbh With a positioning of the welding torch, the welding method and welding system
US20080128398A1 (en) 2005-08-05 2008-06-05 Darryl Douglas Schneider Electrode holder
US20070045488A1 (en) 2005-08-31 2007-03-01 Jong-Hwa Shin Display apparatus
US20100096373A1 (en) 2005-09-15 2010-04-22 Lincoln Global, Inc. System and method for controlling a hybrid welding process
DE102005047204A1 (en) 2005-10-01 2007-04-05 Daimlerchrysler Ag Programming method for industrial robot, involves realization of web-based process of industrial robot using robot arm with functioning device
WO2007039278A1 (en) 2005-10-06 2007-04-12 Kuka Roboter Gmbh Method for determining a virtual tool center point
US20070088536A1 (en) 2005-10-14 2007-04-19 Fujitsu Limited Analysis data judging apparatus, simulation system and simulation program
US20070198117A1 (en) 2006-02-17 2007-08-23 Nasir Wajihuddin Interactive custom design and building of toy vehicle
US20070211026A1 (en) 2006-03-09 2007-09-13 Nintendo Co., Ltd. Coordinate calculating apparatus and coordinate calculating program
US20100276396A1 (en) 2006-03-21 2010-11-04 Paul Cooper Apparatus and method for welding
US20070221797A1 (en) 2006-03-24 2007-09-27 Cooper Technologies Company Worklight Stand With Worklight Coupling Means
USD555446S1 (en) 2006-03-27 2007-11-20 Rothenberger, S.A. Blow torch
JP2007290025A (en) 2006-03-31 2007-11-08 Daihen Corp Controller for robot
US20070256503A1 (en) 2006-04-18 2007-11-08 Agency For Science, Technology And Research Bend testing apparatus and method of carrying out the same
ES2274736B1 (en) 2006-06-29 2008-03-01 Fundacio Privada Universitat I Tecnologia Device for welding simulation.
ES2274736A1 (en) 2006-06-29 2007-05-16 Fundacio Privada Universitat I Tecnologia Weld simulation device has simulated welding torch and simulated welding equipment that are connected to control system through communication device
US8265886B2 (en) 2006-06-30 2012-09-11 V & M France Non-destructive testing, in particular for pipes during manufacture or in the finished state
US20080078811A1 (en) 2006-09-15 2008-04-03 The Lincoln Electric Company Weld data acquisition
US20080078812A1 (en) 2006-09-19 2008-04-03 Lincoln Global, Inc. Non-linear adaptive control system and method for welding
EP1905533B1 (en) 2006-09-27 2013-11-06 Lorch Schweisstechnik GmbH Method for calibrating the control value of a welding device and welding device for implementing the method
US8363048B2 (en) 2006-11-16 2013-01-29 General Electric Company Methods and apparatus for visualizing data
US20080117203A1 (en) 2006-11-16 2008-05-22 David Thomas Gering Methods and Apparatus for Visualizing Data
US20090184098A1 (en) 2006-12-05 2009-07-23 Lincoln Global, Inc. System for measuring energy using digitally controlled welding power sources
US20080135533A1 (en) 2006-12-06 2008-06-12 Ertmer Jonathan R Elevated welding-type cable support system
US20080140815A1 (en) 2006-12-12 2008-06-12 The Lincoln Electric Company Network Device Location and Configuration
US20080149686A1 (en) 2006-12-20 2008-06-26 Lincoln Global, Inc. Welding Job Sequencer
US20080233550A1 (en) 2007-01-23 2008-09-25 Advanced Fuel Research, Inc. Method and apparatus for technology-enhanced science education
US20080203075A1 (en) 2007-02-27 2008-08-28 Feldhausen Joseph E Portable structural welding system having integrated resources
USD561973S1 (en) 2007-03-02 2008-02-12 Bretford Manufacturing, Inc. Electronic device storage cart
US20090057286A1 (en) 2007-03-19 2009-03-05 Hideki Ihara Welding device
US20090015585A1 (en) 2007-05-22 2009-01-15 Mark Klusza Raster image data association with a three dimensional model
KR20090010693A (en) 2007-07-24 2009-01-30 기재석 Welding simulation system
US7991587B2 (en) 2007-08-17 2011-08-02 The Boeing Company Method and apparatus for modeling responses of a material to various inputs
CN201083660Y (en) 2007-09-24 2008-07-09 宝山钢铁股份有限公司 Band steel bending test apparatus
USD587975S1 (en) 2007-10-11 2009-03-10 Ronson Corporation Torch
GB2454232B (en) 2007-11-01 2012-04-25 Validation Ct Tvc Ltd Welding support system
WO2009060231A1 (en) 2007-11-05 2009-05-14 The Validation Centre (Tvc) Limited Arc welding simulator
US20090152251A1 (en) 2007-12-18 2009-06-18 Illinois Tool Works Inc. Personalized interface for torch system and method
RU2008108601A (en) 2007-12-20 2009-09-10 Государственный научно-инженерный центр сварки и контроля в области атомной энергетики Украины Института электросварки им. Е.О. Патона Arc welding simulator
US20100307249A1 (en) 2007-12-21 2010-12-09 V & M France Non-destructive testing, in particular for pipes during manufacture or in the finished state
US8365603B2 (en) 2007-12-21 2013-02-05 V & M France Non-destructive testing, in particular for pipes during manufacture or in the finished state
US20090173726A1 (en) 2008-01-09 2009-07-09 Robert Raimund Davidson Automatic Weld Arc Monitoring System
JP2009160636A (en) 2008-01-10 2009-07-23 Ueno Technica:Kk Welding simulation program, welding simulation device, and welding simulation method
FR2926660B1 (en) 2008-01-18 2011-06-10 Renault Sas Training apparatus with a manual technique by an operator
US20090200282A1 (en) 2008-02-08 2009-08-13 Gm Global Technology Operations, Inc. Weld signature monitoring method and apparatus
US20090200281A1 (en) 2008-02-08 2009-08-13 Gm Global Technology Operations, Inc. Welding power supply with neural network controls
US20090231423A1 (en) 2008-03-14 2009-09-17 Illinois Tool Works Inc. Video recording device for a welder's helmet
KR20090010693U (en) 2008-04-16 2009-10-21 이희모 Wood Panel Glass photoframe using Adhesive tape
JP5329645B2 (en) 2008-05-01 2013-10-30 マルティマティック インコーポレイティッド Auxiliary hydraulic system of the vehicle
US20090298024A1 (en) 2008-05-28 2009-12-03 Todd Batzler Welding training system
WO2009149740A1 (en) 2008-06-09 2009-12-17 Abb Technology Ab A method and a system for facilitating calibration of an off-line programmed robot cell
CN201229711Y (en) 2008-06-17 2009-04-29 邹城市技工学校 Multifunction welder training operation bench
WO2010000003A2 (en) 2008-07-04 2010-01-07 Fronius International Gmbh Device and method for simulating a welding process
US20110091846A1 (en) 2008-07-04 2011-04-21 Fronius International Gmbh Device and method for simulating a welding process
US20100012637A1 (en) 2008-07-16 2010-01-21 Illinois Tool Works Inc. Robotic gmaw torch with quick release gooseneck locking mechanism, dual alignment features, and multiple electrical contacts
US20100048273A1 (en) 2008-08-21 2010-02-25 Lincoln Global, Inc. Welding simulator
US20100062406A1 (en) 2008-08-21 2010-03-11 Lincoln Global, Inc. Virtual reality pipe welding simulator
US20100062405A1 (en) 2008-08-21 2010-03-11 Lincoln Global, Inc. System and method providing arc welding training in a real-time simulated virtual reality environment using real-time weld puddle feedback
US8069017B2 (en) 2008-09-25 2011-11-29 Livermore Software Technology Corporation Method of initializing bolt pretension in a finite element analysis
USD606102S1 (en) 2008-10-03 2009-12-15 Lincoln Global, Inc. Engine welder frame
US20100133247A1 (en) * 2008-11-21 2010-06-03 Jyoti Mazumder Monitoring of a welding process
USD602057S1 (en) 2008-11-24 2009-10-13 Lincoln Global, Inc. Welding cell
CN101419755B (en) 2008-12-17 2010-08-18 Ji Ruixing Multifunctional simulation training apparatus for welding
US20100176107A1 (en) 2009-01-12 2010-07-15 Bong William L System and method for electroslag welding spliced vertical box columns
US20100201803A1 (en) 2009-02-09 2010-08-12 Recognition Robotics Work piece tracking system and method
WO2010091493A1 (en) 2009-02-10 2010-08-19 Optosecurity Inc. Method and system for performing x-ray inspection of a product at a security checkpoint using simulation
US20100224610A1 (en) 2009-03-09 2010-09-09 Lincoln Global, Inc. System for tracking and analyzing welding activity
US8274013B2 (en) 2009-03-09 2012-09-25 Lincoln Global, Inc. System for tracking and analyzing welding activity
US20110060568A1 (en) 2009-06-05 2011-03-10 Jentek Sensors, Inc. Component Adaptive Life Management
CN101571887A (en) 2009-06-16 2009-11-04 哈尔滨工业大学 Finite element prediction system for welding and solidifying crack in virtual environment
CN101587659B (en) 2009-06-29 2011-02-09 西安交通大学 Simulation training device for manual arc welding rod-moving operation, and arc welding rod-moving detection method
CN101587659A (en) 2009-06-29 2009-11-25 西安交通大学 Simulation training device for manual arc welding rod-moving operation, and arc welding rod-moving detection method
US20110006047A1 (en) 2009-07-08 2011-01-13 Victor Matthew Penrod Method and system for monitoring and characterizing the creation of a manual weld
US20110117527A1 (en) 2009-07-08 2011-05-19 Edison Welding Institute, Inc. Welding training system
US20120189993A1 (en) 2009-07-10 2012-07-26 Lincoln Global, Inc. Virtual welding system
USD631074S1 (en) 2009-07-10 2011-01-18 Lincoln Global, Inc. Welding simulator console
US20110183304A1 (en) 2009-07-10 2011-07-28 Lincoln Global, Inc. Virtual testing and inspection of a virtual weldment
USD615573S1 (en) 2009-07-10 2010-05-11 Lincoln Global, Inc. Welding electrode holder
USD614217S1 (en) 2009-07-10 2010-04-20 Lincoln Global, Inc. Simulator welding coupon stand
US20110114615A1 (en) 2009-11-13 2011-05-19 Lincoln Global, Inc. Systems, methods, and apparatuses for monitoring weld quality
WO2011067447A1 (en) 2009-12-03 2011-06-09 Andare Ingenieros, S.L. Simulation system for electric and inert-gas arc welding
DE102010038902B4 (en) 2010-08-04 2012-02-16 SCHWEIßTECHNISCHE LEHR- UND VERSUCHSANSTALT HALLE GMBH Method and device to support the formation of a manual welder
WO2012143327A1 (en) 2011-04-21 2012-10-26 European Aeronautic Defence And Space Company Eads France Method of simulating operations of non-destructive testing under real conditions using synthetic signals
WO2013014202A1 (en) 2011-07-28 2013-01-31 Nuovo Pignone S.P.A. Gas turbine life prediction and optimization device and method

Non-Patent Citations (90)

* Cited by examiner, † Cited by third party
Title
"Design and Implementation of a Video Sensor for Closed Loop Control of Back Bead Weld Puddle Width," Robert Schoder, Massachusetts Institute of Technology, Dept. of Mechanical Engineering, May 27, 1983.
"Penetration in Spot GTA Welds during Centrifugation, "D.K. Aidun and S.A. Martin; Journal of Materials Engineering and Performance vol. 7(5) Oct. 1998-597.
"Penetration in Spot GTA Welds during Centrifugation, "D.K. Aidun and S.A. Martin; Journal of Materials Engineering and Performance vol. 7(5) Oct. 1998—597.
"RV-Sold" Welding Simulator Technical and Functional Features, SIMFOR, pp. 1-20, date unknown.
"The influence of fluid flow phenomena on the laser beam welding process"; International Journal of Heat and Fluid Flow 23, dated 2002.
16TH International Shop and Offshore Structures Congress: Aug. 20-25, 2006: Southhampton, UK, vol. 2 Specialist Committee V.3 Fabrication Technology Committee Mandate: T Borzecki, G. Bruce, Y.S. Han, M. Heinemann, A Imakita, L. Josefson, W. Nie, D. Olson, F. Roland, and Y. Takeda.
Abbas, M., et al.; Code-Aster; Introduction to Code-Aster; User Manual; Booket U1.0-: Introduction to Code-Aster; Document: U1.02.00; Version 7.4; Jul. 22, 2005.
Abbas, M., et al.; Code—Aster; Introduction to Code—Aster; User Manual; Booket U1.0-: Introduction to Code—Aster; Document: U1.02.00; Version 7.4; Jul. 22, 2005.
Abid, et al., "Numerical simulation to study the effect of tack welds and root gap on welding deformations and residual stresses of a pipe-flange joint" by M. Abid and M. Siddique, Faculty of Mechanical Engineering, GIK Institute of Engineering Sciences and Technology, Topi, NWFP, Pakistan. Available on-line Aug. 25, 2005.
Arc+ simulator; http://www.123arc.com/en/depliant-ang.pdf; 2000, 2 pgs.
Arc+ simulator; http://www.123arc.com/en/depliant—ang.pdf; 2000, 2 pgs.
ARS Electronica Linz GmbH, Fronius, 2 pages, May 18, 1997.
Asciencetutor.com, A division of Advanced Science and Automation Corp., VWL (Virtual Welding Lab), 2 pages, 2007.
Asciencetutor.Com, A Division of Advanced Science and Automation Corp., VWL (Virtual Welding Lab), 2007, 2 pages.
ASME Definitions, Consumables, Welding Positions, dated Mar. 19, 2001. See http://www.gowelding.com/wp/asme4.htm.
Bjorn G. Agren; Sensor Integration for Robotic Arc Welding; 1995; vol. 5604C of Dissertations Abstracts International p. 1123; Dissertation Abs Online (Dialog® File 35): © 2012 ProQuest Info& Learning: http://dialogweb.com/cgi/dwclient?req=1331233317524; one (1) page; printed Mar. 8, 2012.
Choquet, Claude; "ARC+: Today's Virtual Reality Solution for Welders" Internet Page, Jan. 1, 2008.
Claude Choquet, ARC+: Today's Virtual Reality Solution for Welders, 123 Certification Inc.,Montreal, Quebec, CA, May 2008, 6 pages.
Code Aster (Software) EDF (France), Oct. 2001.
Cooperative Research Program, Virtual Reality Welder Training, Summary Report SR 0512, 4 pages, Jul. 2005.
CS Wave, A Virtual learning tool for welding motion, 10 pages, Mar. 14, 2008.
CS WAVE, The Virtual Welding Trainer, 6 pages, 2007.
D. Mavrikios, V. Karabatsou, D. Fragos, G. Chryssolouris, A prototype virtual reality-0cased demonstrator for immersive and interactive simulation of welding processes, International Journal of Computer Integrated Manufacturing, 294-301, 2006.
Desroches, X.; Code-Aster, Note of use for aclculations of welding; Instruction manual U2.03 booklet: Thermomechanical; Document: U2.03.05; Oct. 1, 2003.
Edison Welding Institue, Inc. and Realweld Systems, Inc. -v- Lincoln Global, Inc.; Complaint for Declaratory Judgement including Exhibits; Civil Action No. 2:12-cv-1040, 2012.
Edison Welding Institue, Inc. and Realweld Systems, Inc. -v- Lincoln Global, Inc.; Corporate Disclosure Statement; Civil Action No. 2:12-cv-1040, 2013.
Edison Welding Institue, Inc. and Realweld Systems, Inc. -v- Lincoln Global, Inc.; Notice of Appearance of Counsel; Civil Action No. 2:12-cv-1040, 2013.
Edison Welding Institue, Inc. and Realweld Systems, Inc. -v- Lincoln Global, Inc.; Order Granting Motion; Civil Action No. 2:12-cv-1040, 2013.
Edison Welding Institue, Inc. and Realweld Systems, Inc. -v- Lincoln Global, Inc.; Stipulated Extension of Time to Answer . . . Civil Action No. 2:12-cv-1040, 2013.
Edison Welding Institue, Inc. and Realweld Systems, Inc. -v- Lincoln Global,Inc.; Unopposed Motion to Dismiss w/o Prejudice including Exhibits; Civil Action No. 2:12-cv-1040, 2013.
Edison Welding Institute, E-Weld Predictor, 3 pages, 2008, Columbus, OH.
Edison Welding Institute, E-Weld Predictor, 3 pages, 2008.
Edison Welding Institute, Inc.; Docket; Civil Action No. 2:12-cv-1040, 2012.
Eduwelding+, Training Activities with arc+ simulator; Weld Into The Future, Online Welding Simulator-A virtual training environment; 123arc.com; 6 pages, May 2008.
Eduwelding+, Training Activities with arc+ simulator; Weld Into The Future, Online Welding Simulator—A virtual training environment; 123arc.com; 6 pages, May 2008.
Eduwelding+, Weld Into the Fugure; Online Welding Seminar-A virtual training environment; 123arc.com; 4 pages, 2005.
Eduwelding+, Weld Into the Fugure; Online Welding Seminar—A virtual training environment; 123arc.com; 4 pages, 2005.
Eric Linholm, John Nickolls, Stuart Oberman, and John Montrym, "NVIDIA Testla: A Unifired Graphics and Computing Architecture", IEEE Computer Society, 2008.
Fast, K. et al., "Virtual Training for Welding", Mixed and Augmented Realtity, 2004, ISMAR 2004, Third IEEE and CM International Symposium on Arlington, VA, Nov. 2-5, 2004.
FH Joanneum, Fronius-virtual welding, 2 pages, May 12, 2008.
FH Joanneum, Fronius—virtual welding, 2 pages, May 12, 2008.
Fronius, ARS Electronica, 2 pages, May 18, 1997.
Fronius-virtual welding, www.fh-joanneum.at/ca/cn/yly/?lan=en, 2 pages, May 12, 2008.
Fronius—virtual welding, www.fh-joanneum.at/ca/cn/yly/?lan=en, 2 pages, May 12, 2008.
Garcia-Ellende et al., "Defect Detection in Arc-Welding Processes by Means of the Line-to-Continuum Method and Feature Selection", www.mdpi.com/journal/sensors; Sensors 2009, 9, 7753-7770; doi; 10.3390/s91007753.
Hillis and Steele, Jr.; "Data Parallel Algorithms", Communications of the ACM, Dec. 1986, vol. 29, No. 12, p. 1170.
International Search Report and Written Opinion from PCT/IB09/000605 dated Feb. 12, 2010.
International Search Report and Written Opinion from PCT/IB10/02913 dated Apr. 19, 2011.
Juan Vicenete Rosell Gonzales, "RV-Sold: simulator virtual para la formacion de soldadores"; Deformacion Metalica, Es. vol. 34, No. 301 Jan. 1, 2008.
Juan Vicente Rosell, RV-Sold: Simulador virtual para la formacion de soldadores, Deformacion Metalica, Es. vol. 34, No. 301, 14 pages, Jan. 1, 2008.
Kenneth Fast, Timothy Gifford, Robert Yancy, Virtual Training for Welding, 3rd IEEE and ACM International symposium on Mixed and Augmented Reality (ISMAR 2004), 2 pages, 2004.
Laurent Da Dalto, Dominique Steib, Daniel Mellet-d'Huart, Olivier Balet, CS WAVE A Virtual learning tool for the welding motion, http://wave,c-s.fr, Mar. 14, 2008, 10 pages.
Mahrle, A., et al.; "the influence of fluid flow phenomena on the laser beam welding process" International Journal of Heat and Fluid Flow 23 (2002, No. 3, pp. 288-.
Mavrikios D et al, A prototype virtual reality-based demonstrator for immersive and interactive simulation of welding processes, International Journal of Computer Integrated manufacturing, Taylor and Francis, Basingstoke, GB, vol. 19, No. 3, Apr. 1, 2006, pp. 294-300.
Mechanisms and Mechanical Devices Source Book, Chironis, Neil Sclater; McGraw Hill; 2nd Addition, 1996.
Miller Electric Mgf Co.; MIG Welding System features weld monitoring software; NewsRoom 2010 (Dialog® File 992); © 2011 Dialog. 2010; http://www.dialogweb.com/cgi/dwclient?reg=1331233430487; three (3) pages; printed Mar. 8, 2012.
N. A. Tech., P/NA.3 Process Modeling and Optimization, 11 pages, Jun. 4, 2008.
Nancy C. Porter, J. Allan Cote, Timothy D. Gifford, Wim Lan, Virtual Reality Welder Training, Paper No. 2005-P19, 2005, pp. 1-14.
Nancy Porter, J. Allan Cote, Timothy Gifford, Virtual Reality Welder Training, CRP Cooperative Research Program, Summary Report SR 0512, Jul. 2005, 4 pages.
NSRP ASE, Low-Cost Virtual Reality Welder Training System, 1 Page, 2008.
NSRP ASE, Low-Cost Virtual Reality Welder Training System, 2008, 1 page.
P/NA.3 Process Modelling and Optimization, www.natech-inc.com/pna3/index.html, 11 pages, Jun. 4, 2008.
PCT/IB2009/00605 International Search Report.
PCT/IB2009/00605 Written Opinion.
Porter, et al., Virtual Reality Training, Paper No. 2005-P19, 14 pages, 2005.
Production Monitoring 2 brochure, four pages, The Lincoln Electric Company, May 2009.
Ratnam and Khalid: "Automatic classification of weld defects using simulated data and an MLP neutral network." Insight vol. 49, No. 3; Mar. 2007.
Russel and Norvig, "Artificial Intelligence: A Modern Approach", Prentice-Hall (Copyright 1995).
Sim Welder, retrieved on Apr. 12, 2010 from: http://www.simwelder.com.
SIMFOR / CESOL, "RV-SOLD" Welding Simulator, Technical and Functional Features, 20 pages, no date available.
Steven White, Mores Prachyabrued, Dhruva Baghi, Amit Aglawe, Dirk Reiners, Christoph Borst, Terry Chambers, Virtual Welder Trainer, IEEE Virtual Reality 2009, p. 303.
The Fabricator, Virtual Welding, 4 pages, Mar. 2008.
The Lincoln Electric Company, CheckPoint Production Monitoring brochure; four pages; http://www.lincolnelectric.com/assets/en-US/products/literature/s232.pdf; Publication S2.32; issue date Feb. 2012.
The Lincoln Electric Company, CheckPoint Production Monitoring brochure; four pages; http://www.lincolnelectric.com/assets/en—US/products/literature/s232.pdf; Publication S2.32; issue date Feb. 2012.
The Lincoln Electric Company, Production Monitoring brochure, 4 pages, May 2009.
Tim Heston, Virtually welding, The Fabricator, Mar. 2008, 4 pages, FMA Communications Inc., Rockford, IL, www.thefabricator.com.
Training in a virtual environment gives welding students a leg up, retrieved on Apr. 12, 2010 from: http://www.thefabricator.com/article/arcwelding/virtually-welding.
U.S. Appl. No. 12/501,257, filed Jul. 10, 2009 claiming priority to U.S. Appl. No. 61/090,764.
U.S. Appl. No. 12/501,263, filed Jul. 10, 2009 claiming priority to U.S. Appl. No. 61/090,794.
U.S. Appl. No. 12/504,870, filed Jul. 17, 2009 claiming priority to U.S. Appl. No. 61/090,794.
U.S. Appl. No. 29/339,978, filed Jul. 10, 2009.
U.S. Appl. No. 29/339,979, filed Jul. 10, 2009, issued Apr. 20, 2010 as D614,217.
U.S. Appl. No. 29/399,980, filed Jul. 10, 2009, issued May 11, 2010 as D615,573.
Virtual Reality Welder Trainer, Sessiion 5: Joining Technologies for Naval Applications: earliest date Jul. 14, 2006 (http://weayback.archive.org) by Nancy C. Porter, Edision Welding Institute; J. Allan Cote, General Dynamics Electric Boat; Timothy D. Gifford, VRSim, and Wim Lam, FCS Controls.
Wade, "Human uses of ultrasound: ancient and modern", Ultrasonics vol. 38, dated 2000.
Wang et al., "Numerical Analysis of Metal Tranfser in Gas Metal Arc Welding," G. Wang, P.G. Huang, and Y.M. Zhang. Departements of Mechanical and Electrical Engineering. University of Kentucky, Dec. 10, 2001.
Wang et al., Study on welder training by means of haptic guidance and virtual reality for arc welding, 2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006 ISBN-10: 1424405718, p. 954-958.
Weld Into the Future, Eduwelding+, Training Activities with arc+ simulator, 2005, 4 pages.
White et al., Virtual welder training, 2009 IEEE Virtual Reality Conference, p. 303, 2009.
Yizhong Wang, Younghua Chen, Zhongliang Nan, Yong Hu, Study on Welder Training by Means of Haptic Guidance and Virtual Reality for Arc Welding, 2006 IEEE International Conference on Robotics and Biomimetrics, pp. 954-958, ROBIO 2006 ISBN-10:1424405718, Dec. 17-20, 2006, Kunming, China.

Cited By (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9754509B2 (en) 2008-08-21 2017-09-05 Lincoln Global, Inc. Importing and analyzing external data using a virtual reality welding system
US9965973B2 (en) 2008-08-21 2018-05-08 Lincoln Global, Inc. Systems and methods providing enhanced education and training in a virtual reality environment
US9928755B2 (en) 2008-08-21 2018-03-27 Lincoln Global, Inc. Virtual reality GTAW and pipe welding simulator and setup
US9858833B2 (en) 2008-08-21 2018-01-02 Lincoln Global, Inc. Importing and analyzing external data using a virtual reality welding system
US9818311B2 (en) 2008-08-21 2017-11-14 Lincoln Global, Inc. Importing and analyzing external data using a virtual reality welding system
US9818312B2 (en) 2008-08-21 2017-11-14 Lincoln Global, Inc. Importing and analyzing external data using a virtual reality welding system
US9792833B2 (en) 2008-08-21 2017-10-17 Lincoln Global, Inc. Systems and methods providing an enhanced user experience in a real-time simulated virtual reality welding environment
US9779636B2 (en) 2008-08-21 2017-10-03 Lincoln Global, Inc. Importing and analyzing external data using a virtual reality welding system
US9779635B2 (en) 2008-08-21 2017-10-03 Lincoln Global, Inc. Importing and analyzing external data using a virtual reality welding system
US9761153B2 (en) 2008-08-21 2017-09-12 Lincoln Global, Inc. Importing and analyzing external data using a virtual reality welding system
US9691299B2 (en) 2008-08-21 2017-06-27 Lincoln Global, Inc. Systems and methods providing an enhanced user experience in a real-time simulated virtual reality welding environment
US9836995B2 (en) 2008-08-21 2017-12-05 Lincoln Global, Inc. Importing and analyzing external data using a virtual reality welding system
US9685099B2 (en) 2009-07-08 2017-06-20 Lincoln Global, Inc. System for characterizing manual welding operations
US9230449B2 (en) 2009-07-08 2016-01-05 Lincoln Global, Inc. Welding training system
US9773429B2 (en) 2009-07-08 2017-09-26 Lincoln Global, Inc. System and method for manual welder training
US9221117B2 (en) 2009-07-08 2015-12-29 Lincoln Global, Inc. System for characterizing manual welding operations
US9911360B2 (en) 2009-07-10 2018-03-06 Lincoln Global, Inc. Virtual testing and inspection of a virtual weldment
US9911359B2 (en) 2009-07-10 2018-03-06 Lincoln Global, Inc. Virtual testing and inspection of a virtual weldment
US9836994B2 (en) 2009-07-10 2017-12-05 Lincoln Global, Inc. Virtual welding system
US9269279B2 (en) 2010-12-13 2016-02-23 Lincoln Global, Inc. Welding training system
US20150325153A1 (en) * 2011-08-10 2015-11-12 Illinois Tool Works Inc. System and device for welding training
US9767712B2 (en) 2012-07-10 2017-09-19 Lincoln Global, Inc. Virtual reality pipe welding simulator and setup
US9786198B2 (en) * 2013-04-22 2017-10-10 Fronius International Gmbh Method and device for simulating an electrode welding process
US20140315167A1 (en) * 2013-04-22 2014-10-23 Fronius International Gmbh Method and device for simulating an electrode welding process
US20140374396A1 (en) * 2013-06-21 2014-12-25 Illinois Tool Works Inc. System and method for determining weld travel speed
US9836987B2 (en) 2014-02-14 2017-12-05 Lincoln Global, Inc. Virtual reality pipe welding simulator and setup
US9604304B2 (en) * 2014-02-21 2017-03-28 Lincoln Global, Inc. Methods and system for enhanced plasma torch control with an inertial sensor
US20150239059A1 (en) * 2014-02-21 2015-08-27 Lincoln Global, Inc. Methods and system for enhanced plasma torch control
US9862049B2 (en) 2014-06-27 2018-01-09 Illinois Tool Works Inc. System and method of welding system operator identification
US9937578B2 (en) 2014-06-27 2018-04-10 Illinois Tool Works Inc. System and method for remote welding training
US9977242B2 (en) 2015-03-26 2018-05-22 Illinois Tool Works Inc. Control of mediated reality welding system based on lighting conditions
US20160372006A1 (en) * 2015-06-22 2016-12-22 Joachim Berkmanns Methods for welding training

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