CN113126563A - Numerical control machine tool data management system and method - Google Patents
Numerical control machine tool data management system and method Download PDFInfo
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- CN113126563A CN113126563A CN201911416277.1A CN201911416277A CN113126563A CN 113126563 A CN113126563 A CN 113126563A CN 201911416277 A CN201911416277 A CN 201911416277A CN 113126563 A CN113126563 A CN 113126563A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/406—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by monitoring or safety
- G05B19/4065—Monitoring tool breakage, life or condition
Abstract
The invention provides a data management method of a numerical control machine tool, which comprises the following steps: collecting a real-time detection result of a workpiece machining process of the numerical control machine tool; performing quality evaluation on the machined workpiece to obtain quality evaluation information of the workpiece; inputting the real-time detection result and the quality evaluation information into a numerical control machine tool model, and analyzing form and position tolerance and surface roughness of the workpiece to obtain a workpiece error; adjusting the operation parameters, the dynamic precision and the cutter parameters in a digital control program of the numerical control machine tool according to the workpiece errors; and controlling the numerical control machine tool to carry out secondary machining on the surface with the workpiece error so as to compensate the workpiece error.
Description
Technical Field
The invention mainly relates to the field of manufacturing of numerical control machines, in particular to a data management system and method of a numerical control machine.
Background
The turbofan aircraft engine with a large bypass ratio is the main power of civil aviation science and technology, the requirement of civil aviation airworthiness must be strictly met in each link of product design, test and production, and the requirement of the processing quality of main key parts such as fan blades, turbine discs, blisks, casings and the like is strict. Therefore, the numerical control machine tool for the parts also needs to meet the requirements of high precision, high performance and high stability. At present, the domestic high-grade numerical control machine tool has a large gap with the numerical control machining equipment in Europe and America in the aspects of self geometric accuracy, position accuracy, thermal stability, machining accuracy and the like, and cannot meet the numerical control machining part accuracy and part surface quality required by the airworthiness of the civil aviation engine.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a data management system and a data management method for a numerical control machine tool, which can solve the problem of poor precision and stability of a domestic numerical control machine tool.
In order to solve the technical problem, the invention provides a data management method for a numerical control machine, which comprises the following steps: collecting a real-time detection result of a workpiece machining process of the numerical control machine tool; performing quality evaluation on the machined workpiece to obtain quality evaluation information of the workpiece; inputting the real-time detection result and the quality evaluation information into a numerical control machine tool model, and analyzing form and position tolerance and surface roughness of the workpiece to obtain a workpiece error; adjusting the operation parameters, the dynamic precision and the cutter parameters in a digital control program of the numerical control machine tool according to the workpiece errors; and controlling the numerical control machine tool to carry out secondary machining on the surface with the workpiece error so as to compensate the workpiece error.
In an embodiment of the present invention, the real-time detection result includes: the numerical control machine tool comprises a machine tool main shaft torque, guide rail vibration information, nut vibration information, lead screw vibration information, nut and bearing temperature information, main shaft temperature information and real-time machining precision of a workpiece.
In an embodiment of the present invention, the quality evaluation information includes: machining precision and roughness of the workpiece.
In an embodiment of the present invention, the method for managing data of a numerical control machine further includes: collecting the spindle sound information of the numerical control machine tool, the temperature parameter of a moving part and the vibration information of a vibration sensitive position, and comparing the spindle sound information, the temperature parameter and the vibration information with corresponding information in a health database to judge whether the numerical control machine tool is abnormal.
In an embodiment of the present invention, the moving part includes a spindle, a guide rail, and a lead screw of the numerical control machine.
In an embodiment of the invention, the vibration sensitive position comprises a guide rail and a lead screw.
In an embodiment of the present invention, the method for managing data of a numerical control machine further includes: collecting temperature parameters of moving parts of the numerical control machine tool, and: and calculating the thermal deformation error of the numerical control machine tool according to the temperature parameter and the calibrated temperature-error table, and compensating the thermal deformation of the moving part according to the thermal deformation error.
The invention also provides a data management system of the numerical control machine tool, which comprises a plurality of sensors, a data acquisition card and a server. And the sensors are used for acquiring real-time detection results of the workpiece machining process of the numerical control machine tool, the sound information of a main shaft of the numerical control machine tool, the temperature parameters of a moving part and the vibration information of a vibration sensitive position. And the data acquisition card is connected with the sensors and is used for receiving the real-time detection result, the spindle sound information of the numerical control machine tool, the temperature parameter of the moving part and the vibration information of the vibration sensitive position and transmitting the real-time detection result, the spindle sound information of the numerical control machine tool, the temperature parameter of the moving part and the vibration information of the vibration sensitive position to the server. A server configured to: performing quality evaluation on the machined workpiece to obtain quality evaluation information of the workpiece; inputting the real-time detection result and the quality evaluation information into a numerical control machine tool model, and analyzing form and position tolerance and surface roughness of the workpiece to obtain a workpiece error; adjusting the operation parameters, the dynamic precision and the cutter parameters in a digital control program of the numerical control machine tool according to the workpiece errors; and controlling the numerical control machine tool to carry out secondary machining on the surface with the workpiece error so as to compensate the workpiece error.
In an embodiment of the present invention, the real-time detection result includes: the numerical control machine tool comprises a machine tool main shaft torque, guide rail vibration information, nut vibration information, lead screw vibration information, nut and bearing temperature information, main shaft temperature information and real-time machining precision of a workpiece.
In an embodiment of the present invention, the quality evaluation information includes: machining precision and roughness of the workpiece.
In an embodiment of the present invention, the data management system of the numerical control machine further includes a switching power supply powered by a power supply other than the numerical control machine, and the switching power supply is connected to the data acquisition card to supply power to the data acquisition card.
In an embodiment of the present invention, the sensor includes: the main shaft torque sensor is arranged at the rear end of the main shaft of the numerical control machine tool and is used for detecting the torque of the main shaft of the numerical control machine tool; the guide rail unidirectional vibration sensor is used for detecting guide rail vibration information of the numerical control machine tool; the three-way vibration sensor is arranged on a nut of a lead screw of the numerical control machine tool and is used for detecting vibration information of the nut; the lead screw unidirectional vibration sensor is used for detecting vibration information of the lead screw; the nut and bearing temperature sensors are arranged on a nut and a bearing of the numerical control machine tool and are used for detecting temperature parameters of the nut and the bearing; the optical sensor is used for detecting the real-time machining precision of the workpiece; the main shaft acoustic emission sensor is used for detecting main shaft acoustic information of the main shaft; and the moving part temperature sensor is arranged on the moving part of the numerical control machine tool and is used for detecting the temperature parameter of the moving part.
In an embodiment of the present invention, the server further includes a health database, and the server is further configured to compare the spindle sound information, the temperature parameter of the moving part, and the vibration information of the vibration sensitive position with corresponding information in the health database to determine whether the numerical control machine tool is abnormal.
In an embodiment of the present invention, the moving part includes a spindle, a guide rail, and a lead screw of the numerical control machine.
In an embodiment of the present invention, the vibration sensitive position includes a guide rail and a lead screw of the numerical control machine.
In an embodiment of the present invention, the server is configured to: calculating the thermal deformation error of the numerical control machine according to the temperature parameter of the moving part and the calibrated temperature-error table; and compensating for thermal deformation of the moving part according to the thermal deformation error.
Compared with the prior art, the invention has the following advantages:
(1) the method comprises the following steps of detecting and collecting relevant data of moving parts of a machine tool and main functional parts influencing the machining quality of the machine tool by arranging a sensor outside the numerical control machine tool, wherein the data can provide data support for process exploration of a domestic high-grade numerical control machine tool in the machining industrial chain of the large-bypass-ratio aircraft engine;
(2) by arranging a set of data management system, the real-time detection of the domestic numerical control machine tool in the process of processing the workpiece is realized, the real-time state of the numerical control machine tool and the real-time processing precision of the workpiece can be monitored, the implementation condition of the numerical control machine tool is compared with the corresponding information in the health database in the data management system, the abnormal condition of the numerical control machine tool is found in time, and the safe and normal work of the numerical control machine tool is ensured;
(3) after the real-time detection result in the workpiece machining process and the quality evaluation information after machining are compared and analyzed through modeling analysis software, automatic correction can be carried out on the numerical control machine tool, the production efficiency and the workpiece machining quality are improved, and error superposition caused by secondary clamping when the workpiece is repaired after being detected to be out of tolerance is avoided;
(4) the real-time temperature of the moving part of the numerical control machine tool is collected, the thermal deformation condition of the moving part is monitored, the thermal deformation of the moving part of the numerical control machine tool can be automatically compensated in real time, and the influence of the thermal deformation on the machining precision of a workpiece and the normal work of the machine tool is avoided.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the principle of the invention. In the drawings:
fig. 1 is a diagram illustrating a data management system of a numerical control machine according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a data acquisition system according to an embodiment of the present invention.
Fig. 3 is a flowchart of a data management method for a numerical control machine according to an embodiment of the present invention.
Fig. 4 is a schematic view of the thermal deformation of a numerically controlled machine tool at a temperature T.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only examples or embodiments of the application, from which the application can also be applied to other similar scenarios without inventive effort for a person skilled in the art. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
In the description of the present application, it is to be understood that the orientation or positional relationship indicated by the directional terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal" and "top, bottom", etc., are generally based on the orientation or positional relationship shown in the drawings, and are used for convenience of description and simplicity of description only, and in the case of not making a reverse description, these directional terms do not indicate and imply that the device or element being referred to must have a particular orientation or be constructed and operated in a particular orientation, and therefore, should not be considered as limiting the scope of the present application; the terms "inner and outer" refer to the inner and outer relative to the profile of the respective component itself.
Spatially relative terms, such as "above … …," "above … …," "above … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial relationship to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is turned over, devices described as "above" or "on" other devices or configurations would then be oriented "below" or "under" the other devices or configurations. Thus, the exemplary term "above … …" can include both an orientation of "above … …" and "below … …". The device may be otherwise variously oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly.
It should be noted that the terms "first", "second", and the like are used to define the components, and are only used for convenience of distinguishing the corresponding components, and the terms have no special meanings unless otherwise stated, and therefore, the scope of protection of the present application is not to be construed as being limited. Further, although the terms used in the present application are selected from publicly known and used terms, some of the terms mentioned in the specification of the present application may be selected by the applicant at his or her discretion, the detailed meanings of which are described in relevant parts of the description herein. Further, it is required that the present application is understood not only by the actual terms used but also by the meaning of each term lying within.
Flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, various steps may be processed in reverse order or simultaneously. Meanwhile, other operations are added to or removed from these processes.
Fig. 1 is a diagram illustrating a nc machine tool data management system according to an embodiment of the present invention, where the nc machine tool data management system can manage a plurality of nc machine tools. As shown in fig. 1, a data management system 1 of a numerical control machine tool includes: a plurality of sensors 11, a data acquisition card 21, a switching power supply 22 and a server 12. In this embodiment, the data management system 1 further includes a visual display system 13, which can visually store the related information of the numerical control machine 10. In this embodiment, the specific networking manner of the numerical control machine data management system 1 may be: a plurality of sensors 11 distributed outside are arranged on each part of the numerical control machine tool 10 in advance, connected with a data acquisition card 21 and connected into the numerical control machine tool data management system 1; the data acquisition and analysis software installed on the industrial network server 12 of the CentOS operating system presents the data of the sensor 11 acquired from the numerical control machine tool data management system 1 and the numerical control machine tool operation information in the numerical control machine tool data management system 1 in the visual display system 13; meanwhile, the real-time processing detection result of the workpiece is accessed into the server 12, so that the bidirectional data interchange between the real-time workpiece monitoring and the server 12 is realized.
The sensor 11 is used for collecting various parameters of the numerical control machine tool 10. In the present embodiment, as shown in fig. 1, a plurality of sensors 11 are used to collect real-time detection results of the workpiece machining process of the numerical control machine 10, spindle sound information of the numerical control machine 10, temperature parameters of moving parts, and vibration information of vibration sensitive positions. Wherein the moving parts may include a spindle, a guide rail, and a lead screw of the numerical control machine 10, and the vibration sensitive locations may include a guide rail, a lead screw of the numerical control machine 10. The plurality of sensors 11 include a main shaft torque sensor 111, a guide rail one-way vibration sensor 112, a three-way vibration sensor 113, a lead screw one-way vibration sensor 114, a nut and bearing temperature sensor 115, an optical sensor 116, a main shaft acoustic emission sensor 117, and a moving part temperature sensor 118.
The spindle torque sensor 111 is installed at the rear end of the spindle of the numerical control machine 10, and is used to detect the torque of the machine spindle of the numerical control machine 10. The spindle torque sensor 111 can detect the change of the machine tool spindle torque in real time during the process of processing the workpiece by the numerical control machine 10, the change can objectively reflect the loss, the cutting amount and the feeding amount of the tool, and the information is closely related to the processing quality of the workpiece.
The guide rail unidirectional vibration sensor 112 is used for detecting guide rail vibration information of the numerical control machine tool 10, the vibration information can be used for monitoring deformation and abrasion of the guide rail, and the deformation and abrasion of the guide rail can be used as a judgment basis for related problems such as workpiece processing out-of-tolerance, machine tool equipment precision reduction and the like.
The three-way vibration sensor 113 is installed on a nut of a lead screw of the numerical control machine 10, and is used for detecting vibration information of the nut. The lead screw is a roller lead screw, the vibration information can be used for detecting the abrasion, eccentricity, surface defect and vibration pulse of the roller defect of the lead screw, and the detection information can be used as a judgment basis for relevant problems such as workpiece processing out-of-tolerance, machine tool equipment precision reduction and the like.
The lead screw unidirectional vibration sensor 114 is used to detect vibration information of the lead screw. Preferably, the lead screw unidirectional vibration sensor 114 is installed at the support end of both sides of the lead screw. The bending of the lead screw of the numerical control machine 10, the non-concentricity of the front and rear supports, the bearing failure and the like can cause the lead screw to be deformed due to the lead screw vibration, and the vibration information of the lead screw can be used as the judgment basis for the failure of the numerical control machine and the precision change of machine tool equipment.
The nut and bearing temperature sensor 115 is mounted on the nut and bearing mount, and preferably, the nut and bearing temperature sensor 115 is a surface mount temperature sensor. The temperature parameters of the screw nut and the bearing can be used as the judgment basis for the faults of the numerical control machine and the precision change of machine equipment.
The optical sensor 116 is used for detecting the real-time machining precision of the workpiece, and preferably, the optical sensor 116 is an infrared sensor capable of detecting the real-time machining size and surface roughness of the workpiece, so as to obtain the real-time machining precision of the workpiece.
The spindle acoustic emission sensor 117 is used to detect spindle acoustic information of the numerical control machine 10, and preferably, the spindle acoustic emission sensor 117 is installed at the front end of the spindle. When the main shaft acoustic emission sensor 117 detects that the noise exceeds the standard, the numerical control machine tool data management system 1 immediately takes associated operation to alarm and stop, so as to prevent further damage of the machine tool.
The moving part temperature sensor 118 is used to detect temperature parameters of the moving parts of the numerical control machine 10, which may include a spindle, a guide rail, and a lead screw of the numerical control machine 10. The spindle, the guide rail and the lead screw of the numerical control machine 10 are prone to generate temperature changes due to the operation of the numerical control machine, so that thermal deformation of the spindle, the guide rail and the lead screw is caused, and the detection of the temperature parameters of the moving parts can provide a basis for thermal deformation compensation of the subsequent numerical control machine data management system 1.
Fig. 2 is a schematic structural diagram of a data acquisition system according to an embodiment of the present invention. The data acquisition system 2 may include a data acquisition card 21 and a switching power supply 22. The data acquisition card 21 is connected to the plurality of sensors 11, and is configured to receive the real-time detection result, the spindle sound information of the numerical control machine 10, the temperature parameter of the moving component, and the vibration information of the vibration sensitive position, and transmit the real-time detection result, the temperature parameter of the moving component, and the vibration information to the server 12. In order to prevent the data acquisition card 21 from being interfered by the NC machine tool data management system 1, the switching power supply 22 is connected to the data acquisition card 21 to supply power to the data acquisition card 21 alone.
As shown in fig. 1, the server 12 is configured to receive various data sent by the data acquisition card 21 during the process of processing the workpiece by the nc machine 10, and the server 12 may further include data acquisition and analysis software, a nc machine model, compensation and correction software, various comparison databases (e.g., a health database), and the like.
As shown in fig. 1, the data management system 1 of the numerical control machine further includes a visual display system 13, which can visually store the related information of the numerical control machine 10. The visual display system 13 may include a machine tool state display module, a machine tool production management module, a machine tool operation statistics module, a machine tool health management module, a machine tool fault management module, and a tool management module. In some other embodiments, the visual display system 13 further comprises other modules associated with information related to the numerically controlled machine tool 10, not to mention a few examples.
The machine tool state display module can display the contents of: the real-time state of the machine tool, such as an editing state, an automatic running state, an MDI state, a test running state, an online processing state and the like; the rotating speed feeding value can display the current rotating speed value and the feeding speed value of the machine tool in real time; and coordinate information can display the current coordinate condition of the numerical control machine 10 in real time.
The machine tool production management module can display the contents of: the program name of the current machining part, the number of machined parts, the machining plan of a future machine tool, the production preparation condition, the machining time of the workpiece, the machining end time of the workpiece and the like.
The machine tool operation statistical module can display the contents of: machine tool startup time, shutdown time, running time, idle time, effective working time, equipment utilization rate and the like.
The machine tool health management module can display the contents of: real-time data collected by a main shaft torque sensor 111, a guide rail unidirectional vibration sensor 112, a three-way vibration sensor 113, a lead screw unidirectional vibration sensor 114, a nut and bearing temperature sensor 115, an optical sensor 116, a main shaft acoustic emission sensor 117 and a moving part temperature sensor 118; a comparison value in a health database; and data such as spindle load, coolant temperature flow, compressed air pressure flow, etc.
The machine tool fault management module 135 may display content including: the current fault alarm information, the past alarm information and the solution mode of the machine tool, the fault alarm help, the replacement condition of spare parts, the fault shutdown time, the fault maintenance time and the like.
The tool management module 136 may display content including: the tool size, the tool number, the position of the tool magazine where the tool is located, the tool wear condition, the tool service time, the tool remaining life, the tool preparation condition and the like.
Fig. 3 is a flowchart of a nc machine tool data management method according to an embodiment of the present invention, and the nc machine tool data management method may be applied to the nc machine tool data management system 1.
As shown in fig. 3, the data management method of the numerical control machine tool comprises steps 101-105, in this embodiment, the server 12 in fig. 1 may be configured to execute steps 102-105:
step 101: collecting a real-time detection result of a workpiece machining process of the numerical control machine tool;
in step 101, the real-time detection result includes: the method comprises the steps of measuring the torque of a machine tool spindle, the vibration information of a guide rail, the vibration information of a nut, the vibration information of a lead screw, the temperature information of the nut and a bearing, the temperature information of the spindle and the real-time processing precision of a workpiece of the numerical control machine tool. And the real-time monitoring result is acquired by a sensor externally distributed on the numerical control machine tool.
Step 102: performing quality evaluation on the machined workpiece to obtain quality evaluation information of the workpiece;
in step 102, the quality evaluation information of the workpiece includes: machining precision and roughness of the workpiece. The machining accuracy and roughness of the workpiece can be detected by an infrared sensor mounted on the numerical control machine tool.
Step 103: inputting the real-time detection result and the quality evaluation information into a numerical control machine model, and analyzing form and position tolerance and surface roughness of the workpiece to obtain a workpiece error;
step 104: adjusting the operation parameters, dynamic precision and cutter parameters in a digital control program of the numerical control machine tool according to the workpiece errors;
step 105: and controlling the numerical control machine tool to carry out secondary machining on the surface with the workpiece error so as to compensate the workpiece error.
In step 102-.
As shown in FIG. 3, the data management method of the numerical control machine further comprises a step 201 and a step 202, and the server 12 can be configured to execute the step 202:
step 201: collecting main shaft sound information of the numerical control machine tool, temperature parameters of a moving part and vibration information of a vibration sensitive position;
in step 201, the moving parts include a spindle, a guide rail and a lead screw of the numerical control machine, and the vibration sensitive position includes the guide rail and the lead screw. The main shaft sound information, the temperature parameter of the moving part and the vibration information of the vibration sensitive position of the numerical control machine are collected by a sensor externally distributed on the numerical control machine.
Step 202: and comparing the spindle sound information, the temperature parameters and the vibration information with corresponding information in a health database to judge whether the numerical control machine tool is abnormal.
In step 202, the server also includes a health database. In this embodiment, the health database may be a machine mtbf (mean Time Between failurs) database. When the information of the numerical control machine tool collected in real time is compared with the correspondence in the health database, the research on the data management function can be carried out by establishing a CPS (creative Problem Sloving) of the numerical control machine tool through the real-time data. Specifically, the CPS model of the cnc machine refers to running a specified G command on a specific manufacturing resource (the cnc machine, denoted as MR), and acquiring internal data of the cnc machine data management system 1 during running of the G command, the internal data including work task data (such as a command line number, denoted as WT) related to the G command and a real-time detection result (denoted as Y) of a process of machining a workpiece by the cnc machine. And forming a mapping relation Y (WT, MR) on the instruction domain, wherein the mapping relation is a CPS model of the numerical control machine, extracting characteristic information with obvious instruction domain waveforms by comparing and analyzing instruction domain oscillograms in CPS models at different stages, and further detecting and evaluating the health state of the numerical control machine by using the characteristic information of the instruction domain.
As shown in fig. 3, the data management method of the numerical control machine further includes step 301-:
step 301: collecting temperature parameters of a moving part of the numerical control machine tool;
in step 301, the moving part includes a spindle, a guide rail, and a lead screw of the numerical control machine, and the temperature parameters of the moving part are collected by temperature sensors mounted on the spindle, the guide rail, and the lead screw.
Step 302: calculating the thermal deformation error of the numerical control machine according to the temperature parameter and the calibrated temperature-error table;
in step 302, during the machining process of the workpiece by the nc machine, moving parts of the nc machine, such as a lead screw and a spindle, are thermally deformed at a certain temperature. FIG. 4 is a schematic diagram of thermal deformation of a CNC machine tool at a temperature T, and as shown in FIG. 4, when a spindle 410 and a lead screw 420 of the CNC machine tool 400 are respectively at the temperature T, the spindle 410 is subjected to thermal deformation Δ X in the X direction1A thermal deformation Δ Z is generated in the Z direction1(ii) a The screw 420 is thermally deformed in the X direction by DeltaX2A thermal deformation Δ Z is generated in the Z direction2。
Step 303: compensating for thermal deformation of the moving part based on the thermal deformation error.
In step 303, the server may automatically compensate for thermal deformation of the spindle, the guide rail, and the lead screw of the nc machine tool through compensation and correction software installed on the server.
Through the embodiment, the invention provides a numerical control machine tool data management system and a numerical control machine tool data management method, which can realize the monitoring and management of relevant data of the whole life cycle of a domestic numerical control machine tool, further monitor the aspects of the domestic numerical control machine tool such as processing quality, processing precision and overall stability in the field of manufacturing of turbofan aircraft engines with large bypass ratio, monitor the health state of the machine tool in the using process of the domestic numerical control machine tool, early warn machine tool faults, manage machine tool cutters and operation parameters, and simultaneously automatically compensate thermal deformation errors and processing errors of the numerical control machine tool in real time. Compared with the prior art, the numerical control machine tool data management system and method provided by the invention provide better quality and higher efficiency guarantee for domestic numerical control machine tools in the machining process of aero-engine parts.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing disclosure is by way of example only, and is not intended to limit the present application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.
Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.
Aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. The processor may be one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), digital signal processing devices (DAPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, or a combination thereof. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media. For example, computer-readable media may include, but are not limited to, magnetic storage devices (e.g., hard disk, floppy disk, magnetic strips … …), optical disks (e.g., Compact Disk (CD), Digital Versatile Disk (DVD) … …), smart cards, and flash memory devices (e.g., card, stick, key drive … …).
The computer readable medium may comprise a propagated data signal with the computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, and the like, or any suitable combination. The computer readable medium can be any computer readable medium that can communicate, propagate, or transport the program for use by or in connection with an instruction execution system, apparatus, or device. Program code on a computer readable medium may be propagated over any suitable medium, including radio, electrical cable, fiber optic cable, radio frequency signals, or the like, or any combination of the preceding.
Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number allows a variation of ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
Although the present application has been described with reference to the present specific embodiments, it will be recognized by those skilled in the art that the foregoing embodiments are merely illustrative of the present application and that various changes and substitutions of equivalents may be made without departing from the spirit of the application, and therefore, it is intended that all changes and modifications to the above-described embodiments that come within the spirit of the application fall within the scope of the claims of the application.
Claims (16)
1. A data management method for a numerical control machine tool comprises the following steps:
collecting a real-time detection result of a workpiece machining process of the numerical control machine tool;
performing quality evaluation on the machined workpiece to obtain quality evaluation information of the workpiece;
inputting the real-time detection result and the quality evaluation information into a numerical control machine tool model, and analyzing form and position tolerance and surface roughness of the workpiece to obtain a workpiece error;
adjusting the operation parameters, the dynamic precision and the cutter parameters in a digital control program of the numerical control machine tool according to the workpiece errors; and
and controlling the numerical control machine tool to carry out secondary machining on the surface with the workpiece error so as to compensate the workpiece error.
2. The method of claim 1, wherein the real-time detection results comprise:
the numerical control machine tool comprises a machine tool main shaft torque, guide rail vibration information, nut vibration information, lead screw vibration information, nut and bearing temperature information and main shaft temperature information; and
real-time machining accuracy of the workpiece.
3. The method of claim 1, wherein the quality assessment information comprises: machining precision and roughness of the workpiece.
4. The method of claim 1, further comprising:
collecting main shaft sound information of the numerical control machine tool, temperature parameters of a moving part and vibration information of a vibration sensitive position; and
and comparing the spindle sound information, the temperature parameters and the vibration information with corresponding information in a health database to judge whether the numerical control machine tool is abnormal.
5. The method of claim 4, wherein the moving parts comprise a spindle, a guide rail, and a lead screw of the numerical control machine.
6. The method of claim 4, wherein the vibration sensitive locations comprise rails, screws.
7. The method of claim 1, further comprising:
collecting temperature parameters of a moving part of the numerical control machine tool; and
calculating the thermal deformation error of the numerical control machine according to the temperature parameter and a calibrated temperature-error table;
and compensating the thermal deformation of the moving part according to the thermal deformation error.
8. A numerically controlled machine tool data management system, comprising:
the system comprises a plurality of sensors, a data acquisition module, a data processing module and a data processing module, wherein the sensors are used for acquiring real-time detection results of a workpiece machining process of a numerical control machine tool, spindle sound information of the numerical control machine tool, temperature parameters of a moving part and vibration information of a vibration sensitive position;
the data acquisition card is connected with the sensors and used for receiving the real-time detection result, the spindle sound information of the numerical control machine tool, the temperature parameter of the moving part and the vibration information of the vibration sensitive position and transmitting the real-time detection result, the spindle sound information of the numerical control machine tool, the temperature parameter of the moving part and the vibration information of the vibration sensitive position to the server;
a server configured to:
performing quality evaluation on the machined workpiece to obtain quality evaluation information of the workpiece;
inputting the real-time detection result and the quality evaluation information into a numerical control machine tool model, and analyzing form and position tolerance and surface roughness of the workpiece to obtain a workpiece error;
adjusting the operation parameters, the dynamic precision and the cutter parameters in a digital control program of the numerical control machine tool according to the workpiece errors; and
and controlling the numerical control machine tool to carry out secondary machining on the surface with the workpiece error so as to compensate the workpiece error.
9. The numerical control machine tool data management system according to claim 8, wherein the real-time detection result comprises:
the numerical control machine tool comprises a machine tool main shaft torque, guide rail vibration information, nut vibration information, lead screw vibration information, nut and bearing temperature information and main shaft temperature information; and
real-time machining accuracy of the workpiece.
10. The numerically controlled machine tool data management system according to claim 8, wherein the quality evaluation information includes: machining precision and roughness of the workpiece.
11. The system according to claim 8, further comprising a switching power supply powered by a power supply external to said cnc machine, said data acquisition card being connected to power said data acquisition card.
12. The numerical control machine data management system of claim 8, wherein the sensor comprises:
the main shaft torque sensor is arranged at the rear end of the main shaft of the numerical control machine tool and is used for detecting the torque of the main shaft of the numerical control machine tool;
the guide rail unidirectional vibration sensor is used for detecting guide rail vibration information of the numerical control machine tool;
the three-way vibration sensor is arranged on a nut of a lead screw of the numerical control machine tool and is used for detecting vibration information of the nut;
the lead screw unidirectional vibration sensor is used for detecting vibration information of the lead screw;
the nut and bearing temperature sensors are arranged on a nut and a bearing of the numerical control machine tool and are used for detecting temperature parameters of the nut and the bearing;
the optical sensor is used for detecting the real-time machining precision of the workpiece;
the main shaft acoustic emission sensor is used for detecting main shaft acoustic information of the main shaft; and
and the moving part temperature sensor is arranged on a moving part of the numerical control machine tool and is used for detecting the temperature parameter of the moving part.
13. The system for managing numerical control machine tool data of claim 12, wherein the server further comprises a health database, and the server is further configured to compare the spindle sound information, the temperature parameter of the moving part, and the vibration information of the vibration sensitive location with corresponding information in the health database to determine whether the numerical control machine tool is abnormal.
14. The numerical control machine tool data management system of claim 12, wherein the moving parts comprise a spindle, a guide rail, and a lead screw of the numerical control machine tool.
15. The cnc system according to claim 12, wherein the vibration sensitive location includes a guide rail, a lead screw of the cnc machine.
16. The numerically controlled machine tool data management system of claim 12, wherein the server is configured to:
calculating the thermal deformation error of the numerical control machine according to the temperature parameter of the moving part and the calibrated temperature-error table; and
and compensating the thermal deformation of the moving part according to the thermal deformation error.
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