CN111496429A - Welding system and welding data processing method - Google Patents
Welding system and welding data processing method Download PDFInfo
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- CN111496429A CN111496429A CN202010312711.8A CN202010312711A CN111496429A CN 111496429 A CN111496429 A CN 111496429A CN 202010312711 A CN202010312711 A CN 202010312711A CN 111496429 A CN111496429 A CN 111496429A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K37/00—Auxiliary devices or processes, not specially adapted to a procedure covered by only one of the preceding main groups
- B23K37/02—Carriages for supporting the welding or cutting element
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K37/00—Auxiliary devices or processes, not specially adapted to a procedure covered by only one of the preceding main groups
- B23K37/003—Cooling means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Abstract
The present disclosure provides a welding system and a welding data processing method, the welding system including: a wire feeding unit for feeding a welding wire; the welding gun unit is used for melting the welding wire conveyed by the wire feeding unit to form a welding joint; the temperature measuring unit is used for acquiring temperature change information of the welding joint in the cooling process; and the welding data processing device is used for receiving the temperature change information of the welding joint in the cooling process, and comparing the temperature change information of the welding joint in the cooling process with welding CCT data of the welding base material to output a welding joint structure performance analysis result. The welding data processing method and the welding system have the function of efficiently and accurately analyzing the tissue performance of the welding joint.
Description
Technical Field
The disclosure relates to the technical field of electric welding machines, in particular to a welding system with a function of analyzing the tissue performance of a welding joint and a welding data processing method.
Background
The welding is used as an advanced material connection method, has the characteristics of economy, flexibility, high efficiency, continuity, firmness, durability and the like, and is widely applied to industrial products such as ships, locomotives, vehicles, bridges, boilers and the like, and the fields of energy engineering, ocean engineering, aerospace engineering, petrochemical engineering and the like. When melting welding, the welded metal will be heated and partially melted under the action of the heat source. Consequently, there must be a problem of heat transfer and distribution in the metal being welded, commonly referred to as the welding heat process. I.e., the heat melting and subsequent continuous cooling process experienced by the joint metal during welding, and the amount of weld heat input determines the heating rate, high temperature dwell time, and cooling rate of this process, thereby affecting the texture transformation process of the weld joint metal and, ultimately, the weld joint performance.
During the process of stressed service of the welding joint, the weak area needs to be tested and analyzed. Since the weakened areas affect the overall mechanical properties of the weld joint. In the prior art, the analysis of the welded joint tissues needs to go through the processes of cutting sampling, polishing and polishing, chemical corrosion, electron microscope analysis and the like, and the whole analysis process is more complicated and has lower efficiency.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The embodiment of the disclosure provides a method, and then the problem that the analysis process of the tissue performance of a welded joint is more complicated due to the limitations and defects of the related art is overcome at least to a certain extent.
According to a first aspect of the present disclosure, there is provided a welding system comprising:
a wire feeding unit for feeding a welding wire;
the welding gun unit is used for melting the welding wire conveyed by the wire feeding unit to form a welding joint;
the temperature measuring unit is used for acquiring temperature change information of the welding joint in the cooling process;
and the welding data processing device is used for receiving the temperature change information of the welding joint in the cooling process, and comparing the temperature change information of the welding joint in the cooling process with welding CCT (continuous cooling Transformation) data of welding parent metal materials to output a welding joint structure performance analysis result.
In an exemplary embodiment of the present disclosure, the welding data processing apparatus includes:
the data receiving unit is used for receiving temperature change information of the welding joint in the cooling process;
a CCT curve data storage unit for storing welding CCT data of the welding parent metal material; and the data analysis unit is used for comparing the temperature change information of the welding joint in the cooling process with the welding CCT data of the welding parent metal material so as to obtain the structural performance analysis result of the welding joint.
In an exemplary embodiment of the present disclosure, the welding CCT data is provided in the form of a graph, and the welding CCT data includes welding tissue composition data, welding tissue cooling rate data, and welding tissue mechanical property data.
In an exemplary embodiment of the present disclosure, the welding data processing apparatus further includes:
the welding parent metal material selecting unit is used for receiving welding parent metal material information input by a user;
the control unit is used for receiving the welding joint tissue performance analysis result and then controlling display and output;
and the display unit is used for displaying the analysis result of the welding joint tissue performance.
In an exemplary embodiment of the present disclosure, further comprising:
a welding power supply.
In an exemplary embodiment of the present disclosure, the data processing device is located inside the welding power supply.
According to a second aspect of the present disclosure, there is provided a welding data processing method including:
receiving temperature change information of the welding joint in a cooling process;
the welding joint temperature acquisition module is used for acquiring temperature change information of the welding joint;
and comparing the temperature change information of the welding joint in the cooling process with welding CCT data of the welding parent metal material to output a welding joint structure performance analysis result.
In an exemplary embodiment of the present disclosure, further comprising:
receiving welding parent metal material information input by a user;
and comparing the temperature change information of the welding joint in the cooling process with welding CCT data of the welding parent metal material to output a welding joint structure performance analysis result.
In an exemplary embodiment of the present disclosure, further comprising:
and storing and calling welding CCT data of the welding parent metal material corresponding to the welding parent metal material information.
In an exemplary embodiment of the present disclosure, further comprising:
and displaying the structural performance analysis result of the welding joint.
According to a third aspect of the present disclosure, there is provided an electronic device comprising:
a memory; and a processor coupled to the memory, the processor configured to execute the welding data processing method as described above based on instructions stored in the memory.
According to a fourth aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a program which, when executed by a memory, implements the welding data processing method as described above.
The welding system of the embodiment of the disclosure is provided with the temperature measuring unit and the welding data processing device, the temperature measuring unit is used for collecting temperature change information of the welding joint in the cooling process, and the welding data processing device is used for comparing the temperature change information of the welding joint in the cooling process with welding CCT data of welding base metal materials so as to output a welding joint tissue performance analysis result.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
FIG. 1 is a block diagram of a welding system provided in accordance with an embodiment of the present disclosure.
FIG. 2 is a block diagram of a welding data processing device provided in one embodiment of the welder system shown in FIG. 1.
Fig. 3 is a CCT plot of carbon steel Q345.
Fig. 4 is a CCT plot of low alloy high strength steel Q890.
FIG. 5 is a block diagram of a welding data processing arrangement provided by a second embodiment of the welder system shown in FIG. 1.
FIG. 6 is a block diagram of a welding system in another embodiment of the present disclosure.
Fig. 7 is a flowchart of a welding data processing method according to a first embodiment of the disclosure.
Fig. 8 is a flowchart of a welding data processing method according to a second embodiment of the disclosure.
Fig. 9 is a flowchart of a welding data processing method according to a third embodiment of the present disclosure.
Fig. 10 is a flowchart of a welding data processing method according to a fourth embodiment of the disclosure.
Fig. 11 is a block diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
The principles of the present invention will be described below with reference to several exemplary embodiments. It is understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Exemplary embodiments that embody features and advantages of the present disclosure will be described in detail in the following description. It is to be understood that the disclosure is capable of various modifications in various embodiments without departing from the scope of the disclosure, and that the description and drawings are to be regarded as illustrative in nature, and not as restrictive.
FIG. 1 is a block diagram of a welding system provided in accordance with an embodiment of the present disclosure.
Referring to fig. 1, a welding system may include: a wire feeding unit 10 for feeding a welding wire; a welding gun unit 20 for melting the welding wire delivered by the wire feeding unit to form a welding joint; the temperature measuring unit 30 is used for collecting temperature change information of the welding joint in the cooling process; and a welding data processing device 50 for receiving the temperature change information of the welding joint in the cooling process, and comparing the temperature change information of the welding joint in the cooling process with welding CCT data of the welding base material to output a welding joint structure performance analysis result.
The wire feeder unit 10 serves to feed welding wire to the welding gun unit 20. The heat generated by the high current and high voltage of the welding machine is accumulated at the terminal of the welding torch unit 20, and the welding torch unit 20 melts the welding wire delivered by the wire feeding unit 10 by using the heat, and the melted welding wire penetrates to the part to be welded to form a welding joint in the process of gradually cooling.
Since the fusion zone and the heat affected zone of the welded joint are easy to change phase during the heating process of the base metal, the fusion zone and the heat affected zone are very easy to break during the service process of the welded joint, so that the structural properties of the fusion zone and the heat affected zone of the welded joint need to be analyzed in advance after welding in practice. The temperature measuring unit 30 in the embodiment of the present disclosure is configured as an infrared thermal image temperature measuring unit, and the temperature measuring unit 30 has functions of measuring a temperature change rate of a welded joint and recording a temperature change of the welded joint. In the embodiment of the present disclosure, the temperature measuring unit 30 is configured to measure a temperature variation value of the welded joint in a cooling process after welding in real time, and calculate a cooling rate of the welded joint between 800 ℃ and 400 ℃, that is, a reduction amount of the temperature of the welded joint in unit time. The temperature change information of the welding joint in the cooling process can be embodied in the form of a welding joint cooling curve. In the welding completion cooling process, the temperature measuring unit 30 transmits temperature change information of the welded joint in the cooling process to the welding data processing device 50. After receiving the temperature change information of the welded joint in the cooling process, the welding data processing device 50 compares the temperature change information with welding CCT data of the welding parent metal material stored in the welding data processing device 50, and outputs the analysis result of the structure performance of the welded joint fusion area and the heat influence, so as to obtain the structure composition and the hardness value of the welded joint correspondingly formed at the cooling speed.
The welding system 100 of the embodiment of the present disclosure is provided with the temperature measurement unit 30 and the welding data processing device 50, the temperature measurement unit 30 is used to collect temperature change information of the welding joint in the cooling process, and the welding data processing device 50 is used to compare the temperature change information of the welding joint in the cooling process with welding CCT data of welding parent metal materials to output a welding joint structure performance analysis result, and the welding system 100 has a function of efficiently and accurately analyzing the welding joint structure performance.
FIG. 2 is a block diagram of a welding data processing device provided in one embodiment of the welder system shown in FIG. 1.
Referring to fig. 2, the welding data processing apparatus may include: a data receiving unit 51 for receiving temperature change information of the welded joint during cooling; a CCT curve data storage unit 52 for storing welding CCT data of the welding parent metal material; and a data analysis unit 53, configured to compare temperature change information of the welded joint during the cooling process with welding CCT data of the welding parent metal material to obtain a structural performance analysis result of the welded joint.
In the embodiment of the present disclosure, the temperature change information of the welded joint during cooling received by the data receiving unit 51 is derived from the post-welding welded joint temperature change information collected by the temperature measuring unit 30.
Welding is an uneven heating and cooling process, resulting in uneven texture and performance of the weld joint fusion zone and heat affected zone. The CCT (continuous Cooling transformation) curve is also called as a super-cooled austenite continuous Cooling transformation curve, and is a basis for analyzing the austenite transformation process and the structure and the performance of transformation products in the continuous Cooling process. The structure and performance of a welding fusion area and a heat affected area under certain welding process conditions can be conveniently obtained by applying a welding CCT (closed-circuit transformation) diagram. Each welding parent metal has a respective CCT curve, and the CCT curves of different welding parent metals are different.
Fig. 3 is a CCT plot of carbon steel Q345. Fig. 4 is a CCT plot of low alloy high strength steel Q890.
Referring to fig. 3, different cooling rates are labeled in fig. 3 for the formation of a structure and hardness values, for example, when the cooling rate is 0.1 ℃/s, a pearlite structure is formed; when the cooling rate is more than 0.5 ℃/s, bainite is formed; when the cooling rate is more than 20 ℃/s, a martensite structure is formed. Due to the different materials in fig. 3 and 4, the CCT diagram of the low-alloy high-strength steel Q890 in fig. 4 is significantly different from that of the carbon steel Q345 in fig. 3. The welding CCT diagram is a data diagram describing the relationship among the metal phase change behavior, phase change structure, performance and cooling condition of a part of metal under the action of welding thermal cycle in the welding process of the base metal.
In the embodiment of the present disclosure, the CCT curve data storage unit 52 stores CCT curve data of various steel materials, and each CCT curve of the steel material includes cooling time and a welding joint structure composition and mechanical property parameters corresponding thereto. The welding CCT data of the welding parent metal material stored in the CCT curve data storage unit 52 is basic data for comparing the structure of the weld joint fusion area with the heat affected area. The welding CCT data of the welding parent metal material comprises welding parent metal material data, welding joint cooling speed data corresponding to various welding parent metal material data, and key data such as welding joint structure composition, hardness, cracks and the like corresponding to the welding joint cooling speed data. In that
In the embodiment of the present disclosure, the list of welding CCT data and weld joint structure property of the welding parent metal material may be expanded by those skilled in the art according to actual welding requirements, and the disclosure is not limited thereto.
In the embodiment of the present disclosure, the data analysis unit 53 receives the temperature change information of the welding joint in the data receiving unit 51 during the cooling process, and also receives the welding CCT data corresponding to the welding parent metal adopted in the current welding, which is retrieved from the CCT curve data storage unit 52. The data analysis unit 53 compares the temperature change information of the welding joint in the cooling process with welding CCT data of the welding parent metal material to obtain a welding joint structure performance analysis result. That is, the data analysis unit 53 accesses the CCT curve data storage unit 52 after obtaining the cooling time of the welding joint, and obtains the welding joint structure composition and the mechanical property parameters matched with the welding base metal type and the cooling time according to the welding base metal type and the cooling time.
Specifically, the analysis process of the data analysis unit 53 is explained as follows, taking the data analysis unit 53 as an example for judging whether the welded joint has cracks: the CCT curve diagram corresponding to each welding parent metal comprises a cooling curve corresponding to the welding parent metal, and the phase change process undergone by the cooling curve is the cooling process undergone by the welding structure under the welding parameters. In the embodiment of the present disclosure, the temperature measuring unit 30 collects and calculates the cooling speed and the cooling time of the welded joint between 800 ℃ and 400 ℃. The data analysis unit 53 finds out the intersection point of the ordinate of the temperature of 800 ℃ or 400 ℃ and the abscissa of the cooling time from the corresponding CCT curve chart, finds out the cooling curve closest to the intersection point, and then takes the cooling time of the welding joint acquired in real time by the temperature measurement unit 30 as the criterion time, if the criterion time is less than the cooling time on the CCT cooling curve, the welded tissue does not have cracks; if the criterion time is greater than the cooling time on the CCT cooling curve, cracks may appear in the welded structure.
FIG. 5 is a block diagram of a welding data processing arrangement provided by a second embodiment of the welder system shown in FIG. 1.
Referring to fig. 5, the welding data processing apparatus of the second embodiment further includes, in comparison with the welding data processing apparatus of the first embodiment: a welding parent material selection unit 54 for receiving welding parent material information input by a user; the control unit 55 is used for receiving the analysis result of the welding joint tissue performance and controlling display and output; and the display unit 56 is used for displaying the structural performance analysis result of the welding joint.
In the embodiment of the present disclosure, the welding data processing device 50 performs the analysis of the structure property of the welded joint on the premise of determining the welding parent metal information used in the current welding, and therefore, inputting the welding parent metal material information into the welding data processing device 50 is a necessary link for the welding data processing device 50 to accurately judge the structure of the welded joint fusion zone and the heat affected zone. In the embodiment of the present disclosure, a welding parent material selecting unit 54 is provided to receive welding parent material information input by a user, for example, a steel number of a parent material input by the user, and then the welding data processing device 50 extracts a welding CCT curve corresponding to the steel number of the parent material in the CCT curve data storage unit 52 according to the steel number of the parent material. The data analysis unit 53 compares the welding CCT data of the welding parent metal material with the temperature change information of the welding joint during the cooling process, and transmits the obtained welding joint structure performance analysis result to the control unit 55. The control unit 55 receives the analysis result of the welding joint tissue performance and controls the display unit 56 to display and output the analysis result. The display unit 56 displays the organization and performance analysis results of the weld joint fusion zone and the heat affected zone after welding. The display unit may display the structural composition of the fusion zone or the heat affected zone by different letter designations, for example, a represents austenite, F represents ferrite, P represents pearlite, B represents bainite, M represents martensite, etc.
FIG. 6 is a block diagram of a welding system in another embodiment of the present disclosure.
Referring to fig. 6, the welding system 200 includes a wire feeder unit 10, a welding gun unit 20, a temperature measurement unit 30, and a welding power supply 40, wherein a data processing device 50 is located inside the welding power supply 40. The wire feeding unit 10, the welding gun unit 20 and the temperature measuring unit 30 can be referred to the corresponding description in fig. 1, and will not be described in detail for the sake of brevity. The positive electrode of the welding power source 40 is electrically connected to the wire feeding unit 10, and the negative electrode of the welding power source 40 is electrically connected to the welding base material.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Fig. 7 is a flowchart of a welding data processing method according to a first embodiment of the disclosure.
Referring to fig. 7, a welding data processing method according to a first embodiment of the present disclosure may include:
step S302, receiving temperature change information of the welding joint in the cooling process;
step S304, comparing the temperature change information of the welding joint in the cooling process with welding CCT data of welding parent metal materials to output a welding joint structure performance analysis result.
In step S302, the received temperature change information of the welded joint during the cooling process is derived from the temperature change value of the welded joint after welding collected in real time and is converted into a reduction amount of the temperature of the welded joint in unit time, that is, a cooling speed value of the welded joint. Comparing the cooling speed value of the welding joint with the cooling speed value in the specific mother material CCT curve in the welding CCT data of the welding mother material in the step S304 to obtain the structure composition and the hardness value of the welding joint correspondingly formed at the cooling speed, and obtaining the analysis result of the structure performance of the welding joint.
According to the welding data processing method disclosed by the invention, the temperature change information of the welding joint in the cooling process is received and then compared with the welding CCT data of the welding parent metal material to output the welding joint structure performance analysis result, and the welding data processing method 300 has the function of efficiently and accurately analyzing the welding joint structure performance.
Fig. 8 is a flowchart of a welding data processing method according to a second embodiment of the disclosure.
Referring to fig. 8, a welding data processing method according to a second embodiment of the present disclosure may include:
step S402, receiving temperature change information of the welding joint in the cooling process;
step S404, receiving input welding parent metal material information;
step S406, comparing the temperature change information of the welding joint in the cooling process with welding CCT data of the welding parent metal material to output a welding joint structure performance analysis result.
The difference between the welding data processing method provided in the second embodiment in fig. 8 and the welding data processing method provided in the first embodiment in fig. 7 is that step S404 is added in fig. 8, i.e. input welding parent material information is received. In fig. 8, step S402 and step S404 are not time-series relationships, and steps S402 and S404 are directed to step S406. Step S404 may precede step S402 or be performed in synchronization with step S402. Since the welding CCT data of the welding parent metal material corresponding to each parent metal is specific, the welding CCT data of the welding joint performance comparison reference for the current welding, i.e., the CCT curve diagram corresponding to the current welding parent metal, may be determined by determining the welding parent metal material information used for the current welding before performing the analysis and comparison in step S406. And comparing the determined CCT curve chart with temperature change information of the welding joint in the cooling process to obtain a welding joint structure performance analysis result.
Fig. 9 is a flowchart of a welding data processing method according to a third embodiment of the present disclosure.
Referring to fig. 9, a welding data processing method according to a third embodiment of the present disclosure may include:
step S502, receiving temperature change information of the welding joint in the cooling process;
step S504, receiving input welding parent metal material information;
step S506, storing and calling welding CCT data of the welding parent metal material corresponding to the welding parent metal material information;
and step S508, comparing the temperature change information of the welding joint in the cooling process with welding CCT data of the welding parent metal material to output a welding joint structure performance analysis result.
The difference between the welding data processing method provided by the third embodiment in fig. 9 and the welding data processing method provided by the second embodiment in fig. 8 is that step S506 is added in fig. 9, that is, welding CCT data of the welding parent material corresponding to the welding parent material information is stored and retrieved. CCT curve graphs corresponding to the material information of the welding parent metals are stored in a CCT curve data storage unit. When the user inputs the material information of the welding parent metal in step S504, for example, the steel number of the parent metal, the welding data processing method extracts a welding CCT graph corresponding to the steel number of the parent metal in the CCT curve data storage unit based on the steel number of the parent metal, and then compares the determined CCT graph with the temperature change information of the welding joint in the cooling process to obtain the structural performance analysis result of the welding joint.
Fig. 10 is a flowchart of a welding data processing method according to a fourth embodiment of the disclosure.
Referring to fig. 10, a welding data processing method according to a fourth embodiment of the present disclosure may include:
step S602, receiving temperature change information of a welding joint in a cooling process;
step S604, receiving input welding parent metal material information;
step S606, storing and calling welding CCT data of the welding parent metal material corresponding to the welding parent metal material information;
step S608, comparing the temperature change information of the welding joint in the cooling process with welding CCT data of welding parent metal materials to output a welding joint structure performance analysis result;
and step S610, displaying the structural performance analysis result of the welding joint.
The welding data processing method provided in the fourth embodiment of fig. 10 is different from the welding data processing method provided in the third embodiment of fig. 9 in that step S610 is added to fig. 10, i.e., the results of the weld joint structure property analysis are displayed. After the analysis result of the weld joint tissue performance is obtained in step S608, the analysis result is displayed to the user through a display unit in a manner of convenient reading and identification, for example, the tissue composition of the weld joint is displayed through a bar chart or a pie chart corresponding to different letter identifiers.
Since the functions performed by the steps of the method 300/400/500/600 have been described in detail in their corresponding apparatus embodiments, the description of the disclosure is omitted here.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
Fig. 11 is a block diagram of an electronic device according to an embodiment of the present disclosure. An electronic device 700 according to this embodiment of the invention is described below with reference to fig. 11. The electronic device 700 shown in fig. 11 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 11, electronic device 700 is embodied in the form of a general purpose computing device. The components of the electronic device 700 may include, but are not limited to: the at least one memory 720, the at least one processor 720 coupled to the memory, the processor 720 configured to be based on instructions stored in the memory 720, and a bus 730 connecting the various system components including the memory 720 and the processor 720.
Wherein the storage memory has program code that is executable by the processor 720 such that the processor 720 performs the steps according to various exemplary embodiments of the present invention as described in the "exemplary methods" section above. For example, the processor 720 may execute step S302 as shown in fig. 6: receiving temperature change information of the welding joint in a cooling process; step S304: and comparing the temperature change information of the welding joint in the cooling process with welding CCT data of the welding parent metal material to output a welding joint structure performance analysis result.
The memory 720 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)7201 and/or a cache memory unit 7202, and may further include a read only memory unit (ROM) 7203.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.
The program product for implementing the above method according to an embodiment of the present invention may employ a portable compact disc read only memory (CD-ROM) and include program codes, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including AN object oriented programming language such as Java, C + +, or the like, as well as conventional procedural programming languages, such as the "C" language or similar programming languages.
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units. The components shown as modules or units may or may not be physical units, i.e. may be located in one place or may also be distributed over a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the wood-disclosed scheme. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the description of the above embodiments, those skilled in the art will readily understand that the above described exemplary embodiments may be implemented by software, or by software in combination with necessary hardware.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope of the disclosure being indicated by the following claims.
While the present disclosure has been described with reference to several exemplary embodiments, it is understood that the terminology used is intended to be in the nature of words of description and illustration, rather than of limitation. As the present disclosure may be embodied in several forms without departing from the spirit or essential characteristics thereof, it should also be understood that the above-described embodiments are not limited by any of the details of the foregoing description, but rather should be construed broadly within its spirit and scope as defined in the appended claims, and therefore all changes and modifications that fall within the meets and bounds of the claims, or equivalences of such meets and bounds are therefore intended to be embraced by the appended claims.
Claims (11)
1. A welding system, comprising:
a wire feeding unit for feeding a welding wire;
the welding gun unit is used for melting the welding wire conveyed by the wire feeding unit to form a welding joint;
the temperature measuring unit is used for acquiring temperature change information of the welding joint in the cooling process; and
and the welding data processing device is used for receiving the temperature change information of the welding joint in the cooling process, and comparing the temperature change information of the welding joint in the cooling process with the welding undercooling austenite continuous cooling conversion CCT data of the welding parent metal material so as to output a welding joint structure performance analysis result.
2. The welding system of claim 1, wherein the welding data processing device comprises:
the data receiving unit is used for receiving temperature change information of the welding joint in the cooling process;
a CCT curve data storage unit for storing welding CCT data of the welding parent metal material; and
and the data analysis unit is used for comparing the temperature change information of the welding joint in the cooling process with the welding CCT data of the welding parent metal material so as to obtain the structural performance analysis result of the welding joint.
3. The welding system of claim 1, wherein the welding data processing device further comprises:
the welding parent metal material selecting unit is used for receiving welding parent metal material information input by a user;
the control unit is used for receiving the welding joint tissue performance analysis result and then controlling display and output;
and the display unit is used for displaying the analysis result of the welding joint tissue performance.
4. The welding system of any of claims 1 to 3, further comprising:
a welding power supply.
5. The welding system of claim 4, wherein the data processing device is located internal to the welding power supply.
6. A method of processing welding data, comprising:
receiving temperature change information of the welding joint in a cooling process;
and comparing the temperature change information of the welding joint in the cooling process with welding CCT data of the welding parent metal material to output a welding joint structure performance analysis result.
7. The welding data processing method of claim 6, further comprising:
receiving welding parent metal material information input by a user;
and comparing the temperature change information of the welding joint in the cooling process with welding CCT data of the welding parent metal material to output a welding joint structure performance analysis result.
8. The welding data processing method of claim 7, further comprising:
and storing and calling welding CCT data of the welding parent metal material corresponding to the welding parent metal material information.
9. The welding data processing method of claim 6, further comprising:
and displaying the structural performance analysis result of the welding joint.
10. An electronic device, comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the welding data processing method of any of claims 6-9 based on instructions stored in the memory.
11. A computer-readable storage medium, on which a program is stored, which when executed by a processor implements the welding data processing method of claims 6-9.
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