Gear shaft grinding machine workpiece clamping method and system based on double-servo drive and medium

Abstract

The invention provides a gear shaft grinding machine workpiece clamping method and system based on double-servo driving and a medium. The method comprises the steps that material characteristic data and physical characteristic data of a to-be-machined workpiece are obtained and processed to obtain required jacking data, torque distribution proportion data are obtained by processing performance data and installation position data of a double-servo motor, processing is conducted in combination with transmission characteristic data, servo torque data of the double-servo motor are obtained, and the servo torque data of the double-servo motor are obtained. Clamping and processing are carried out according to the required jacking data and the servo torque data, n finished workpieces are obtained, precision characteristic data of the finished workpieces are obtained, processing quality effect indexes are obtained through processing, processing quality deviation factors are obtained through further processing, and processing is carried out in combination with the required jacking data, the servo torque data and working environment correction factors. And a machining quality correction index is obtained, the machining quality correction index is compared with a preset threshold value, servo torque data are adjusted according to a comparison result, and therefore the gear shaft grinding machine workpiece clamping technology based on double-servo driving is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of workpiece clamping, and in particular to a workpiece clamping method, system and medium for a gear shaft grinder based on dual servo drive. Background Art

[0002] Modern manufacturing industry is constantly improving production accuracy, efficiency and automation.

[0003] In traditional manufacturing, workpiece clamping often relies on manual operation, which is not only inefficient but also difficult to ensure clamping accuracy, which is prone to errors and affects product quality.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of this application is to provide a workpiece clamping method, system and medium for a gear shaft grinder based on dual servo drive. The clamping data required for the workpiece to be processed can be obtained by calculation, and the distributed servo force of the dual servo motor can be obtained through the torque distribution ratio. The workpiece is processed based on this, and then the clamping is adjusted by the processing quality correction index obtained by processing, thereby realizing the technology of workpiece clamping for a gear shaft grinder based on dual servo drive.

[0006] The present application also provides a workpiece clamping method for a gear shaft grinder based on dual servo drive, comprising the following steps: Acquire material feature data and physical property data of the workpiece to be processed, process to obtain the workpiece texture machinability coefficient, and further process to obtain the required tightening data of the workpiece to be processed; Obtaining the performance data and installation position data corresponding to the No. 1 and No. 2 servo motors respectively, and processing to obtain the torque distribution ratio data corresponding to the No. 1 and No. 2 servo motors; Acquire the transmission characteristic data of the first and second servo motors, and process them in combination with the required tightening data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors; According to the required clamping data and the servo torque data, n workpieces to be processed are clamped and processed to obtain corresponding n completed workpieces; Acquire the working environment characteristic data corresponding to the processing of the n completed workpieces, and process to obtain the working environment correction factor; Acquire the precision feature data corresponding to the n finished workpieces, process them to obtain the corresponding machining quality effectiveness index, and process them with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient; Obtaining a machining quality correction index by processing the required tightening data, the servo torque data and the working environment correction factor corresponding to the n finished workpieces in combination with the machining quality deviation coefficient; A threshold comparison is performed between the processing quality correction index and a preset quality correction threshold, and the servo torque data is adjusted according to the threshold comparison result.

[0007] Optionally, in the dual-servo driven gear shaft grinder workpiece clamping method described in the present application, the material feature data and physical property data of the workpiece to be processed are obtained, and the workpiece texture machinability coefficient is obtained through processing, and further processing is performed to obtain the required tightening data of the workpiece to be processed, including: Acquiring material feature data and physical property data of the workpiece to be processed; The material characteristic data includes original weight distribution data, original centroid distribution data, original size profile data and support contact area data; The physical property data includes elastic modulus data and plastic hardness data; According to the original component centroid distribution data, the original component size profile data and the clamping contact area data, combined with the elastic modulus data and the plastic hardness data, processing is performed to obtain the workpiece texture machinability coefficient; According to the weight distribution data of the original part, combined with the workpiece texture machinability coefficient, processing is performed to obtain the required tightening data of the workpiece to be processed; The calculation formula of the workpiece texture machinability coefficient is: ; in, is the workpiece texture machinability coefficient, , , They are the original component centroid distribution data, original component size profile data, and support contact area data. , They are elastic modulus data and plastic hardness data respectively. , , , is the preset characteristic coefficient; The calculation formula for the demand tightening data is: ; in, To meet the demand, , They are the original weight distribution data, the workpiece texture machinability coefficient, , is the preset characteristic coefficient.

[0008] Optionally, in the dual-servo driven gear shaft grinder workpiece clamping method described in the present application, the obtaining of performance data and installation position data corresponding to the first and second servo motors, respectively, and processing to obtain torque distribution ratio data corresponding to the first and second servo motors, includes: Obtain the performance data and installation position data corresponding to the No. 1 and No. 2 servo motors respectively; The performance data includes rated power data, rated torque data, moment of inertia data and power factor; Processing is performed according to the rated power data, the rated torque data, the moment of inertia data and the power factor to obtain a performance difference coefficient between the first and second servo motors; The installation position data includes installation height data, installation angle data and installation reference surface data; Processing is performed according to the installation height data, the installation angle data and the installation reference surface data to obtain the installation position difference coefficient between the first and second servo motors; Processing is performed according to the performance difference coefficient and the installation position difference coefficient to obtain torque distribution ratio data corresponding to the first and second servo motors; The calculation formula of the torque distribution ratio data corresponding to the No. 1 servo motor is: ; in, The torque distribution ratio data corresponding to servo motor No. 1, , They are performance difference coefficient and installation position difference coefficient respectively. , , , is the preset characteristic coefficient; The calculation formula of the torque distribution ratio data corresponding to the second servo motor is: ; in, The torque distribution ratio data corresponding to the second servo motor, This is the torque distribution ratio data corresponding to servo motor No. 1.

[0009] Optionally, in the dual-servo-driven gear shaft grinder workpiece clamping method described in the present application, the transmission characteristic data of the first and second servo motors are acquired, and the required tightening data and the torque distribution ratio data are processed to obtain the servo torque data corresponding to the first and second servo motors, including: Acquire transmission characteristic data of the first and second servo motors, including transmission ratio data and transmission efficiency data; According to the transmission ratio data and the transmission efficiency data, and in combination with the required tightening data and the torque distribution ratio data, the servo torque data corresponding to the first and second servo motors are obtained; The calculation formula of the servo torque data corresponding to the No. 1 servo motor is: ; in, is the servo torque data corresponding to servo motor No. 1, , , , They are the transmission ratio data of servo motor No. 1, the transmission efficiency data of servo motor No. 1, the torque distribution ratio data corresponding to servo motor No. 1, and the required tightening data. is the preset characteristic coefficient; The calculation formula of the servo torque data corresponding to the second servo motor is: ; in, is the servo torque data corresponding to the No. 2 servo motor, , , , They are the transmission ratio data of the No. 2 servo motor, the transmission efficiency data of the No. 2 servo motor, the torque distribution ratio data corresponding to the No. 2 servo motor, and the required tightening data. is the preset characteristic coefficient.

[0010] Optionally, in the dual-servo driven gear shaft grinder workpiece clamping method described in the present application, the step of obtaining the working environment characteristic data corresponding to the processing of the n completed workpieces and obtaining the working environment correction factor includes: Acquire the working environment characteristic data corresponding to the processing of the n completed workpieces, including the vibration data and temperature data corresponding to the first and second servo motors; Processing the vibration data and the temperature data to obtain a working environment correction factor; The calculation formula of the working environment correction factor is: ; in, is the working environment correction factor corresponding to the processing of the i-th completed workpiece, , , , They are respectively the vibration data corresponding to the No. 1 servo motor, the vibration data corresponding to the No. 2 servo motor, the temperature data corresponding to the No. 1 servo motor, and the temperature data corresponding to the No. 2 servo motor when the i-th finished workpiece among the n finished workpieces is processed. , , , , is the preset characteristic coefficient.

[0011] Optionally, in the dual-servo driven gear shaft grinder workpiece clamping method described in the present application, the obtaining of the precision feature data corresponding to the n finished workpieces, processing to obtain the corresponding machining quality effectiveness index, and respectively processing with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient, includes: Acquire the precision feature data corresponding to the n finished workpieces, including dimensional accuracy data, surface roughness data, and coaxiality data; Processing the dimensional accuracy data, surface roughness data and coaxiality data to obtain machining quality effectiveness indexes corresponding to the n finished workpieces; The machining quality effectiveness indexes corresponding to the n finished workpieces are processed one by one with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient.

[0012] Optionally, in the dual-servo-driven gear shaft grinder workpiece clamping method described in the present application, the required clamping data, the servo torque data and the working environment correction factor corresponding to the n finished workpieces are processed in combination with the machining quality deviation coefficient to obtain a machining quality correction index, including: According to the required tightening data, the servo torque data and the working environment correction factor corresponding to the n completed workpieces, combined with the processing quality deviation coefficient, a processing quality correction index is obtained by processing through a preset workpiece processing quality inspection model; The calculation formula of the processing quality correction index is: ; in, is the processing quality correction index, , , , , They are the required tightening data of the i-th finished workpiece among n finished workpieces, the servo torque data corresponding to the No. 1 servo motor, the servo torque data corresponding to the No. 2 servo motor, the working environment correction factor, and the processing quality deviation coefficient. , is the preset characteristic coefficient.

[0013] In a second aspect, the present application provides a gear shaft grinder workpiece clamping system based on dual servo drive, the system comprising: a memory and a processor, the memory comprising a program of a gear shaft grinder workpiece clamping method based on dual servo drive, and the program of the gear shaft grinder workpiece clamping method based on dual servo drive is executed by the processor to implement the following steps: Acquire material feature data and physical property data of the workpiece to be processed, process to obtain the workpiece texture machinability coefficient, and further process to obtain the required tightening data of the workpiece to be processed; Obtaining the performance data and installation position data corresponding to the No. 1 and No. 2 servo motors respectively, and processing to obtain the torque distribution ratio data corresponding to the No. 1 and No. 2 servo motors; Acquire the transmission characteristic data of the first and second servo motors, and process them in combination with the required tightening data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors; According to the required clamping data and the servo torque data, n workpieces to be processed are clamped and processed to obtain corresponding n completed workpieces; Acquire the working environment characteristic data corresponding to the processing of the n completed workpieces, and process to obtain the working environment correction factor; Acquire the precision feature data corresponding to the n finished workpieces, process them to obtain the corresponding machining quality effectiveness index, and process them with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient; Obtaining a machining quality correction index by processing the required tightening data, the servo torque data and the working environment correction factor corresponding to the n finished workpieces in combination with the machining quality deviation coefficient; A threshold comparison is performed between the processing quality correction index and a preset quality correction threshold, and the servo torque data is adjusted according to the threshold comparison result.

[0014] Optionally, in the dual-servo-driven gear shaft grinder workpiece clamping system described in the present application, the material feature data and physical property data of the workpiece to be processed are obtained, and the workpiece texture machinability coefficient is obtained through processing, and the required clamping data of the workpiece to be processed is obtained through further processing, including: Acquiring material feature data and physical property data of the workpiece to be processed; The material characteristic data includes original weight distribution data, original centroid distribution data, original size profile data and support contact area data; The physical property data includes elastic modulus data and plastic hardness data; According to the original component centroid distribution data, the original component size profile data and the clamping contact area data, combined with the elastic modulus data and the plastic hardness data, processing is performed to obtain the workpiece texture machinability coefficient; According to the weight distribution data of the original part, combined with the workpiece texture machinability coefficient, processing is performed to obtain the required tightening data of the workpiece to be processed; The calculation formula of the workpiece texture machinability coefficient is: ; in, is the workpiece texture machinability coefficient, , , They are the original component centroid distribution data, original component size profile data, and support contact area data. , They are elastic modulus data and plastic hardness data respectively. , , , is the preset characteristic coefficient; The calculation formula for the demand tightening data is: ; in, To meet the demand, , They are the original weight distribution data, the workpiece texture machinability coefficient, , is the preset characteristic coefficient.

[0015] In the third aspect, the present application also provides a computer-readable storage medium, in which a program for a workpiece clamping method for a gear shaft grinder based on dual servo drive is stored. When the program for a workpiece clamping method for a gear shaft grinder based on dual servo drive is executed by a processor, the steps of the workpiece clamping method for a gear shaft grinder based on dual servo drive as described in any one of the above items are implemented.

[0016] As can be seen from the above, the workpiece clamping method, system and medium of the gear shaft grinder based on dual servo drive provided in the present application obtains material characteristic data and physical property data of the workpiece to be processed, processes and obtains the required tightening data, obtains the corresponding torque distribution ratio data by processing the performance data and installation position data corresponding to the dual servo motors respectively, and processes in combination with the transmission characteristic data to obtain the servo torque data corresponding to the dual servo motors, clamps and processes n workpieces to be processed according to the required tightening data and the servo torque data to obtain the corresponding n finished workpieces, obtains the corresponding working environment characteristic data when the finished workpieces are processed, processes to obtain the working environment correction factor, obtains the precision characteristic data corresponding to the n finished workpieces, processes to obtain the corresponding processing quality effectiveness index, and processes with the standard processing quality effectiveness index to obtain the corresponding processing quality deviation coefficient, processes according to the required tightening data, servo torque data and the working environment correction factor in combination with the processing quality deviation coefficient to obtain the processing quality correction index, performs a threshold comparison between the processing quality correction index and the preset quality correction threshold, and adjusts the servo torque data according to the threshold comparison result, thereby realizing the technology of workpiece clamping of the gear shaft grinder based on dual servo drive.

[0017] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A flow chart of a workpiece clamping method for a gear shaft grinder based on dual servo drive provided in an embodiment of the present application; Figure 2 A flow chart of obtaining required tightening data for a workpiece clamping method for a gear shaft grinder based on dual servo drive provided in an embodiment of the present application; Figure 3 A flow chart of obtaining torque distribution ratio data for a workpiece clamping method for a gear shaft grinder based on dual servo drive provided in an embodiment of the present application; Figure 4 A flow chart of obtaining servo torque data for a workpiece clamping method for a gear shaft grinder based on dual servo drive provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0021] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0022] Please refer to Figure 1 , Figure 1 The present invention is a flowchart of a gear shaft grinder workpiece clamping method based on dual servo drive in some embodiments of the present invention. The gear shaft grinder workpiece clamping method based on dual servo drive is used in terminal devices, such as computers, mobile phone terminals, etc. The gear shaft grinder workpiece clamping method based on dual servo drive includes the following steps: S11, acquiring material feature data and physical property data of the workpiece to be processed, and processing to obtain a workpiece texture machinability coefficient, and further processing to obtain required tightening data of the workpiece to be processed; S12, obtaining performance data and installation position data corresponding to the No. 1 and No. 2 servo motors respectively, and processing to obtain torque distribution ratio data corresponding to the No. 1 and No. 2 servo motors; S13, acquiring transmission characteristic data of the first and second servo motors, and processing them in combination with the required tightening data and the torque distribution ratio data to obtain servo torque data corresponding to the first and second servo motors; S14, clamping and processing n workpieces to be processed according to the required tightening data and the servo torque data to obtain corresponding n completed workpieces; S15, obtaining the working environment characteristic data corresponding to the processing of the n completed workpieces, and processing to obtain the working environment correction factor; S16, obtaining the precision feature data corresponding to the n finished workpieces, processing to obtain the corresponding machining quality effectiveness index, and processing them respectively with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient; S17, obtaining a processing quality correction index by processing the required tightening data, the servo torque data and the working environment correction factor corresponding to the n finished workpieces in combination with the processing quality deviation coefficient; S18, performing a threshold comparison between the processing quality correction index and a preset quality correction threshold, and adjusting the servo torque data according to the threshold comparison result.

[0023] It should be noted that in order to realize the self-adjustment of workpiece clamping of the dual-servo driven gear shaft grinder, so as to improve the workpiece processing accuracy and quality, and when the workpiece processing quality deviates or fails to achieve the expected effect, the dual servo torque is adjusted to improve the processing quality and accuracy. First, the material characteristic data and physical property data of the workpiece to be processed are obtained, and the required tightening data are obtained by processing. The corresponding torque distribution ratio data is obtained by processing the performance data and installation position data corresponding to the dual servo motors respectively, and the transmission characteristic data is combined for processing to obtain the servo torque data corresponding to the dual servo motors. According to the required tightening data and servo torque data, n workpieces to be processed are clamped and processed. Processing is performed to obtain the corresponding n finished workpieces, obtain the corresponding working environment characteristic data when the finished workpieces are processed, process to obtain the working environment correction factor, obtain the precision characteristic data corresponding to the n finished workpieces, process to obtain the corresponding processing quality effectiveness index, and process them with the standard processing quality effectiveness index respectively to obtain the corresponding processing quality deviation coefficient, process according to the required tightening data, servo torque data and the working environment correction factor combined with the processing quality deviation coefficient to obtain the processing quality correction index, perform a threshold comparison between the processing quality correction index and the preset quality correction threshold, and adjust the servo torque data according to the threshold comparison result, thereby realizing the technology of workpiece clamping of gear shaft grinder based on dual servo drive.

[0024] Please refer to Figure 2 , Figure 2 The present invention is a flowchart of obtaining the required clamping data of the workpiece clamping method of the gear shaft grinder based on dual servo drive in some embodiments of the present application. According to the embodiment of the present invention, the material characteristic data and physical property data of the workpiece to be processed are obtained, and the workpiece texture machinability coefficient is obtained by processing, and the required clamping data of the workpiece to be processed is obtained by further processing, including: S21, obtaining material feature data and physical property data of the workpiece to be processed; S22, the material characteristic data includes original weight distribution data, original centroid distribution data, original size profile data and support contact area data; S23, the physical property data includes elastic modulus data and plastic hardness data; S24, processing the workpiece texture machinability coefficient according to the original component centroid distribution data, the original component size profile data and the support contact area data in combination with the elastic modulus data and the plastic hardness data; S25, processing the original weight distribution data in combination with the workpiece texture machinability coefficient to obtain required tightening data of the workpiece to be processed; The calculation formula of the workpiece texture machinability coefficient is: ; in, is the workpiece texture machinability coefficient, , , They are the original component centroid distribution data, original component size profile data, and support contact area data. , They are elastic modulus data and plastic hardness data respectively. , , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset mechanical manufacturing information database); The calculation formula for the demand tightening data is: ; in, To meet the demand, , They are the original weight distribution data, the workpiece texture machinability coefficient, , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset mechanical manufacturing information database).

[0025] It should be noted that before processing the workpiece, it is necessary to clamp the workpiece to be processed. In order to improve the clamping quality, it is necessary to first calculate the clamping data required for the workpiece to be processed. Therefore, the material characteristic data and physical property data of the workpiece to be processed are obtained, wherein the material characteristic data include the original weight distribution, the original center of mass distribution, the original size contour and the clamping contact area data, and the physical property data include the elastic modulus data and the plastic hardness data. The above data are processed to obtain the workpiece texture machinability coefficient, and further combined with the original weight distribution data for processing to obtain the required tightening data.

[0026] Please refer to Figure 3 , Figure 3The present invention is a flowchart of a method for obtaining torque distribution ratio data of a workpiece clamping method for a gear shaft grinder based on dual servo drive in some embodiments of the present invention. According to an embodiment of the present invention, the method of obtaining performance data and installation position data corresponding to the first and second servo motors, respectively, and processing to obtain torque distribution ratio data corresponding to the first and second servo motors includes: S31, obtaining performance data and installation position data corresponding to the No. 1 and No. 2 servo motors respectively; S32, the performance data includes rated power data, rated torque data, moment of inertia data and power factor; S33, performing processing according to the rated power data, the rated torque data, the moment of inertia data and the power factor to obtain a performance difference coefficient between the first and second servo motors; S34, the installation position data includes installation height data, installation angle data and installation reference surface data; S35, processing the installation height data, the installation angle data, and the installation reference plane data to obtain the installation position difference coefficient between the first and second servo motors; S36, performing processing according to the performance difference coefficient and the installation position difference coefficient to obtain torque distribution ratio data corresponding to the first servo motor and the second servo motor; The calculation formula of the torque distribution ratio data corresponding to the No. 1 servo motor is: ; in, The torque distribution ratio data corresponding to servo motor No. 1, , They are performance difference coefficient and installation position difference coefficient respectively. , , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset mechanical manufacturing information database); The calculation formula of the torque distribution ratio data corresponding to the second servo motor is: ; in, The torque distribution ratio data corresponding to the second servo motor, This is the torque distribution ratio data corresponding to servo motor No. 1.

[0027] It should be noted that, since it is driven by dual servo motors, before calculating the servo torque of each of the dual servo motors, it is necessary to first obtain the torque distribution ratio data corresponding to the two motors. Therefore, it is necessary to obtain the performance difference coefficient and installation position difference coefficient between the dual servo motors, and process them to obtain the torque distribution ratio data corresponding to servo motors No. 1 and No. 2.

[0028] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of a method for obtaining servo torque data of a workpiece clamping method for a gear shaft grinder based on dual servo drive in some embodiments of the present application. According to an embodiment of the present invention, the transmission characteristic data of the first and second servo motors are obtained, and the servo torque data corresponding to the first and second servo motors are obtained by processing the transmission characteristic data in combination with the required tightening data and the torque distribution ratio data, including: S41, acquiring transmission characteristic data of the first and second servo motors, including transmission ratio data and transmission efficiency data; S42, obtaining servo torque data corresponding to the first and second servo motors according to the transmission ratio data, the transmission efficiency data, and the required tightening data and the torque distribution ratio data; The calculation formula of the servo torque data corresponding to the No. 1 servo motor is: ; in, is the servo torque data corresponding to servo motor No. 1, , , , They are the transmission ratio data of servo motor No. 1, the transmission efficiency data of servo motor No. 1, the torque distribution ratio data corresponding to servo motor No. 1, and the required tightening data. is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset mechanical manufacturing information database); The calculation formula of the servo torque data corresponding to the second servo motor is: ; in, is the servo torque data corresponding to the No. 2 servo motor, , , , They are the transmission ratio data of the No. 2 servo motor, the transmission efficiency data of the No. 2 servo motor, the torque distribution ratio data corresponding to the No. 2 servo motor, and the required tightening data. It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset mechanical manufacturing information database).

[0029] It should be noted that the servo torque provided by the dual servo motors corresponding to the tightening data required for the workpiece to be processed is not only affected by the torque distribution ratio, but also by the transmission characteristics of the motor itself. Therefore, it is necessary to first obtain the transmission characteristic data of servo motors No. 1 and No. 2, including transmission ratio data and transmission efficiency data, and process them in combination with the required tightening data and torque distribution ratio data to obtain the servo torque data corresponding to servo motors No. 1 and No. 2.

[0030] According to an embodiment of the present invention, the step of obtaining the working environment characteristic data corresponding to the processing of the n completed workpieces and processing to obtain the working environment correction factor includes: Acquire the working environment characteristic data corresponding to the processing of the n completed workpieces, including the vibration data and temperature data corresponding to the first and second servo motors; Processing the vibration data and the temperature data to obtain a working environment correction factor; The calculation formula of the working environment correction factor is: ; in, is the working environment correction factor corresponding to the processing of the i-th completed workpiece, , , , They are respectively the vibration data corresponding to the No. 1 servo motor, the vibration data corresponding to the No. 2 servo motor, the temperature data corresponding to the No. 1 servo motor, and the temperature data corresponding to the No. 2 servo motor when the i-th finished workpiece among the n finished workpieces is processed. , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset mechanical manufacturing information database).

[0031] It should be noted that during the machining process of the workpiece, the servo motor will vibrate and the equipment will generate heat. These factors will have a certain impact on the machining quality. Therefore, it is necessary to obtain the vibration and temperature data corresponding to the dual servo motors and process them to obtain the working environment correction factor.

[0032] According to an embodiment of the present invention, the obtaining of the precision feature data corresponding to the n finished workpieces, processing to obtain the corresponding machining quality effectiveness index, and respectively processing with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient includes: Acquire the precision feature data corresponding to the n finished workpieces, including dimensional accuracy data, surface roughness data, and coaxiality data; Processing the dimensional accuracy data, surface roughness data and coaxiality data to obtain machining quality effectiveness indexes corresponding to the n finished workpieces; The machining quality effectiveness indexes corresponding to the n finished workpieces are processed one by one with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient.

[0033] It should be noted that, after the n workpieces to be processed are clamped and processed according to the corresponding acquired required tightening data and servo torque data, and the corresponding n finished workpieces are obtained, the processing quality needs to be inspected. Therefore, it is necessary to collect the precision characteristic data of the n finished workpieces, including dimensional accuracy data, surface roughness data and coaxiality data, and process the above data to obtain the corresponding processing quality effectiveness index, and process them with the standard processing quality effectiveness index to obtain the corresponding processing quality deviation coefficient.

[0034] According to an embodiment of the present invention, the required tightening data, the servo torque data and the working environment correction factor corresponding to the n finished workpieces are processed in combination with the processing quality deviation coefficient to obtain a processing quality correction index, including: According to the required tightening data, the servo torque data and the working environment correction factor corresponding to the n completed workpieces, combined with the processing quality deviation coefficient, a processing quality correction index is obtained by processing through a preset workpiece processing quality inspection model; The calculation formula of the processing quality correction index is: ; in, is the processing quality correction index, , , , , They are the required tightening data of the i-th finished workpiece among n finished workpieces, the servo torque data corresponding to the No. 1 servo motor, the servo torque data corresponding to the No. 2 servo motor, the working environment correction factor, and the processing quality deviation coefficient. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset mechanical manufacturing information database).

[0035] It should be noted that in order to determine whether the finished workpiece obtained according to the clamping and processing method in the plan reaches the expected processing quality, it is necessary to process the required clamping data, servo torque data and working environment correction factor corresponding to the n finished workpieces in combination with the processing quality deviation coefficient through the calculation formula of the preset workpiece processing quality inspection model to obtain the processing quality correction index.

[0036] In a second aspect, the present invention further discloses a gear shaft grinder workpiece clamping system based on dual servo drive, comprising a memory and a processor, wherein the memory comprises a gear shaft grinder workpiece clamping method program based on dual servo drive, and the gear shaft grinder workpiece clamping method program based on dual servo drive is executed by the processor to implement the following steps: Acquire material feature data and physical property data of the workpiece to be processed, process to obtain the workpiece texture machinability coefficient, and further process to obtain the required tightening data of the workpiece to be processed; Obtaining the performance data and installation position data corresponding to the No. 1 and No. 2 servo motors respectively, and processing to obtain the torque distribution ratio data corresponding to the No. 1 and No. 2 servo motors; Acquire the transmission characteristic data of the first and second servo motors, and process them in combination with the required tightening data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors; According to the required clamping data and the servo torque data, n workpieces to be processed are clamped and processed to obtain corresponding n completed workpieces; Acquire the working environment characteristic data corresponding to the processing of the n completed workpieces, and process to obtain the working environment correction factor; Acquire the precision feature data corresponding to the n finished workpieces, process them to obtain the corresponding machining quality effectiveness index, and process them with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient; Obtaining a machining quality correction index by processing the required tightening data, the servo torque data and the working environment correction factor corresponding to the n finished workpieces in combination with the machining quality deviation coefficient; A threshold comparison is performed between the processing quality correction index and a preset quality correction threshold, and the servo torque data is adjusted according to the threshold comparison result.

[0037] It should be noted that in order to realize the self-adjustment of workpiece clamping of the dual-servo driven gear shaft grinder, so as to improve the workpiece processing accuracy and quality, and when the workpiece processing quality deviates or fails to achieve the expected effect, the dual servo torque is adjusted to improve the processing quality and accuracy. First, the material characteristic data and physical property data of the workpiece to be processed are obtained, and the required tightening data are obtained by processing. The corresponding torque distribution ratio data is obtained by processing the performance data and installation position data corresponding to the dual servo motors respectively, and the transmission characteristic data is combined for processing to obtain the servo torque data corresponding to the dual servo motors. According to the required tightening data and servo torque data, n workpieces to be processed are clamped and processed. Processing is performed to obtain the corresponding n finished workpieces, obtain the corresponding working environment characteristic data when the finished workpieces are processed, process to obtain the working environment correction factor, obtain the precision characteristic data corresponding to the n finished workpieces, process to obtain the corresponding processing quality effectiveness index, and process them with the standard processing quality effectiveness index respectively to obtain the corresponding processing quality deviation coefficient, process according to the required tightening data, servo torque data and the working environment correction factor combined with the processing quality deviation coefficient to obtain the processing quality correction index, perform a threshold comparison between the processing quality correction index and the preset quality correction threshold, and adjust the servo torque data according to the threshold comparison result, thereby realizing the technology of workpiece clamping of gear shaft grinder based on dual servo drive.

[0038] According to an embodiment of the present invention, the material feature data and physical property data of the workpiece to be processed are obtained, and the workpiece texture machinability coefficient is obtained through processing, and further processing is performed to obtain the required tightening data of the workpiece to be processed, including: Acquiring material feature data and physical property data of the workpiece to be processed; The material characteristic data includes original weight distribution data, original centroid distribution data, original size profile data and support contact area data; The physical property data includes elastic modulus data and plastic hardness data; According to the original component centroid distribution data, the original component size profile data and the clamping contact area data, combined with the elastic modulus data and the plastic hardness data, processing is performed to obtain the workpiece texture machinability coefficient; According to the weight distribution data of the original part, combined with the workpiece texture machinability coefficient, processing is performed to obtain the required tightening data of the workpiece to be processed; The calculation formula of the workpiece texture machinability coefficient is: ; in, is the workpiece texture machinability coefficient, , , They are the original component centroid distribution data, original component size profile data, and support contact area data. , They are elastic modulus data and plastic hardness data respectively. , , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset mechanical manufacturing information database); The calculation formula for the demand tightening data is: ; in, To meet the demand, , They are the original weight distribution data, the workpiece texture machinability coefficient, , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset mechanical manufacturing information database).

[0039] It should be noted that before processing the workpiece, it is necessary to clamp the workpiece to be processed. In order to improve the clamping quality, it is necessary to first calculate the clamping data required for the workpiece to be processed. Therefore, the material characteristic data and physical property data of the workpiece to be processed are obtained, wherein the material characteristic data include the original weight distribution, the original center of mass distribution, the original size contour and the clamping contact area data, and the physical property data include the elastic modulus data and the plastic hardness data. The above data are processed to obtain the workpiece texture machinability coefficient, and further combined with the original weight distribution data for processing to obtain the required tightening data.

[0040] According to an embodiment of the present invention, the step of obtaining the performance data and installation position data corresponding to the first and second servo motors, and processing to obtain the torque distribution ratio data corresponding to the first and second servo motors includes: Obtain the performance data and installation position data corresponding to the No. 1 and No. 2 servo motors respectively; The performance data includes rated power data, rated torque data, moment of inertia data and power factor; Processing is performed according to the rated power data, the rated torque data, the moment of inertia data and the power factor to obtain a performance difference coefficient between the first and second servo motors; The installation position data includes installation height data, installation angle data and installation reference surface data; Processing is performed according to the installation height data, the installation angle data and the installation reference surface data to obtain the installation position difference coefficient between the first and second servo motors; Processing is performed according to the performance difference coefficient and the installation position difference coefficient to obtain torque distribution ratio data corresponding to the first and second servo motors; The calculation formula of the torque distribution ratio data corresponding to the No. 1 servo motor is: ; in, The torque distribution ratio data corresponding to servo motor No. 1, , They are performance difference coefficient and installation position difference coefficient respectively. , , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset mechanical manufacturing information database); The calculation formula of the torque distribution ratio data corresponding to the second servo motor is: ; in, The torque distribution ratio data corresponding to the second servo motor, This is the torque distribution ratio data corresponding to servo motor No. 1.

[0041] It should be noted that, since it is driven by dual servo motors, before calculating the servo torque of each of the dual servo motors, it is necessary to first obtain the torque distribution ratio data corresponding to the two motors. Therefore, it is necessary to obtain the performance difference coefficient and installation position difference coefficient between the dual servo motors, and process them to obtain the torque distribution ratio data corresponding to servo motors No. 1 and No. 2.

[0042] According to an embodiment of the present invention, the transmission characteristic data of the first and second servo motors are acquired, and the required tightening data and the torque distribution ratio data are processed to obtain the servo torque data corresponding to the first and second servo motors, including: Acquire transmission characteristic data of the first and second servo motors, including transmission ratio data and transmission efficiency data; According to the transmission ratio data and the transmission efficiency data, and in combination with the required tightening data and the torque distribution ratio data, the servo torque data corresponding to the first and second servo motors are obtained; The calculation formula of the servo torque data corresponding to the No. 1 servo motor is: ; in, is the servo torque data corresponding to servo motor No. 1, , , , They are the transmission ratio data of servo motor No. 1, the transmission efficiency data of servo motor No. 1, the torque distribution ratio data corresponding to servo motor No. 1, and the required tightening data. is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset mechanical manufacturing information database); The calculation formula of the servo torque data corresponding to the second servo motor is: ; in, is the servo torque data corresponding to the No. 2 servo motor, , , , They are the transmission ratio data of the No. 2 servo motor, the transmission efficiency data of the No. 2 servo motor, the torque distribution ratio data corresponding to the No. 2 servo motor, and the required tightening data. It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset mechanical manufacturing information database).

[0043] It should be noted that the servo torque provided by the dual servo motors corresponding to the tightening data required for the workpiece to be processed is not only affected by the torque distribution ratio, but also by the transmission characteristics of the motor itself. Therefore, it is necessary to first obtain the transmission characteristic data of servo motors No. 1 and No. 2, including transmission ratio data and transmission efficiency data, and process them in combination with the required tightening data and torque distribution ratio data to obtain the servo torque data corresponding to servo motors No. 1 and No. 2.

[0044] According to an embodiment of the present invention, the step of obtaining the working environment characteristic data corresponding to the processing of the n completed workpieces and processing to obtain the working environment correction factor includes: Acquire the working environment characteristic data corresponding to the processing of the n completed workpieces, including the vibration data and temperature data corresponding to the first and second servo motors; Processing the vibration data and the temperature data to obtain a working environment correction factor; The calculation formula of the working environment correction factor is: ; in, is the working environment correction factor corresponding to the processing of the i-th completed workpiece, , , , They are respectively the vibration data corresponding to the No. 1 servo motor, the vibration data corresponding to the No. 2 servo motor, the temperature data corresponding to the No. 1 servo motor, and the temperature data corresponding to the No. 2 servo motor when the i-th finished workpiece among the n finished workpieces is processed. , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset mechanical manufacturing information database).

[0045] It should be noted that during the machining process of the workpiece, the servo motor will vibrate and the equipment will generate heat. These factors will have a certain impact on the machining quality. Therefore, it is necessary to obtain the vibration and temperature data corresponding to the dual servo motors and process them to obtain the working environment correction factor.

[0046] According to an embodiment of the present invention, the obtaining of the precision feature data corresponding to the n finished workpieces, processing to obtain the corresponding machining quality effectiveness index, and respectively processing with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient includes: Acquire the precision feature data corresponding to the n finished workpieces, including dimensional accuracy data, surface roughness data, and coaxiality data; Processing the dimensional accuracy data, surface roughness data and coaxiality data to obtain machining quality effectiveness indexes corresponding to the n finished workpieces; The machining quality effectiveness indexes corresponding to the n finished workpieces are processed one by one with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient.

[0047] It should be noted that, after the n workpieces to be processed are clamped and processed according to the corresponding acquired required tightening data and servo torque data, and the corresponding n finished workpieces are obtained, the processing quality needs to be inspected. Therefore, it is necessary to collect the precision characteristic data of the n finished workpieces, including dimensional accuracy data, surface roughness data and coaxiality data, and process the above data to obtain the corresponding processing quality effectiveness index, and process them with the standard processing quality effectiveness index to obtain the corresponding processing quality deviation coefficient.

[0048] According to an embodiment of the present invention, the required tightening data, the servo torque data and the working environment correction factor corresponding to the n finished workpieces are processed in combination with the processing quality deviation coefficient to obtain a processing quality correction index, including: According to the required tightening data, the servo torque data and the working environment correction factor corresponding to the n completed workpieces, combined with the processing quality deviation coefficient, a processing quality correction index is obtained by processing through a preset workpiece processing quality inspection model; The calculation formula of the processing quality correction index is: ; in, is the processing quality correction index, , , , , They are the required tightening data of the i-th finished workpiece among n finished workpieces, the servo torque data corresponding to the No. 1 servo motor, the servo torque data corresponding to the No. 2 servo motor, the working environment correction factor, and the processing quality deviation coefficient. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset mechanical manufacturing information database).

[0049] It should be noted that in order to determine whether the finished workpiece obtained according to the clamping and processing method in the plan reaches the expected processing quality, it is necessary to process the required clamping data, servo torque data and working environment correction factor in combination with the processing quality deviation coefficient through the calculation formula of the preset workpiece processing quality inspection model to obtain the processing quality correction index.

[0050] A third aspect of the present invention provides a readable storage medium, in which a program for a workpiece clamping method for a gear shaft grinder based on dual servo drive is stored. When the program for a workpiece clamping method for a gear shaft grinder based on dual servo drive is executed by a processor, the steps of the workpiece clamping method for a gear shaft grinder based on dual servo drive as described in any one of the above items are implemented.

[0051] The present invention discloses a workpiece clamping method, system and medium for a gear shaft grinder based on dual servo drive. The method obtains material characteristic data and physical property data of a workpiece to be processed, processes and obtains required tightening data, processes the corresponding performance data and installation position data of the dual servo motors respectively, obtains corresponding torque distribution ratio data, and processes in combination with transmission characteristic data to obtain servo torque data corresponding to the dual servo motors. According to the required tightening data and servo torque data, n workpieces to be processed are clamped and processed to obtain the corresponding n finished workpieces. The corresponding working environment characteristic data during the processing of the finished workpieces are obtained and processed to obtain working environment correction factors. The precision characteristic data corresponding to the n finished workpieces are obtained and processed to obtain corresponding processing quality effectiveness indexes. The corresponding processing quality deviation coefficients are respectively processed with the standard processing quality effectiveness indexes. The required tightening data, servo torque data and working environment correction factors are processed in combination with the processing quality deviation coefficient to obtain a processing quality correction index. The processing quality correction index is compared with a preset quality correction threshold value. The servo torque data is adjusted according to the threshold comparison result, thereby realizing the workpiece clamping technology for a gear shaft grinder based on dual servo drive.

[0052] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0053] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0054] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0055] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0056] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A workpiece clamping method for a gear shaft grinder based on dual servo drive, characterized in that: The following steps are involved: Acquire material feature data and physical property data of the workpiece to be processed, process to obtain the workpiece texture machinability coefficient, and further process to obtain the required tightening data of the workpiece to be processed; Obtaining the performance data and installation position data corresponding to the No. 1 and No. 2 servo motors respectively, and processing to obtain the torque distribution ratio data corresponding to the No. 1 and No. 2 servo motors; Acquire the transmission characteristic data of the first and second servo motors, and process them in combination with the required tightening data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors; According to the required clamping data and the servo torque data, n workpieces to be processed are clamped and processed to obtain corresponding n completed workpieces; Acquire the working environment characteristic data corresponding to the processing of the n completed workpieces, and process to obtain the working environment correction factor; Acquire the precision feature data corresponding to the n finished workpieces, process them to obtain the corresponding machining quality effectiveness index, and process them with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient; Obtaining a machining quality correction index by processing the required tightening data, the servo torque data and the working environment correction factor corresponding to the n finished workpieces in combination with the machining quality deviation coefficient; A threshold comparison is performed between the processing quality correction index and a preset quality correction threshold, and the servo torque data is adjusted according to the threshold comparison result.

2. The workpiece clamping method for a gear shaft grinder based on dual servo drive according to claim 1 is characterized in that: The step of acquiring material feature data and physical property data of the workpiece to be processed, processing to obtain a workpiece texture machinability coefficient, and further processing to obtain required tightening data of the workpiece to be processed includes: Acquiring material feature data and physical property data of the workpiece to be processed; The material characteristic data includes original weight distribution data, original centroid distribution data, original size profile data and support contact area data; The physical property data includes elastic modulus data and plastic hardness data; According to the original component centroid distribution data, the original component size profile data and the clamping contact area data, combined with the elastic modulus data and the plastic hardness data, processing is performed to obtain the workpiece texture machinability coefficient; According to the weight distribution data of the original part, combined with the workpiece texture machinability coefficient, processing is performed to obtain the required tightening data of the workpiece to be processed; The calculation formula of the workpiece texture machinability coefficient is: ； in, is the workpiece texture machinability coefficient, , , They are the original component centroid distribution data, original component size profile data, and support contact area data. , They are elastic modulus data and plastic hardness data respectively. , , , is the preset characteristic coefficient; The calculation formula for the demand tightening data is: ； in, To meet the demand, , They are the original weight distribution data, the workpiece texture machinability coefficient, , is the preset characteristic coefficient.

3. The workpiece clamping method for a gear shaft grinder based on dual servo drive according to claim 2 is characterized in that: The obtaining of the performance data and installation position data corresponding to the first and second servo motors, respectively, and processing to obtain the torque distribution ratio data corresponding to the first and second servo motors, respectively, includes: Obtain the performance data and installation position data corresponding to the No. 1 and No. 2 servo motors respectively; The performance data includes rated power data, rated torque data, moment of inertia data and power factor; Processing is performed according to the rated power data, the rated torque data, the moment of inertia data and the power factor to obtain a performance difference coefficient between the first and second servo motors; The installation position data includes installation height data, installation angle data and installation reference surface data; Processing is performed according to the installation height data, the installation angle data and the installation reference surface data to obtain the installation position difference coefficient between the first and second servo motors; Processing is performed according to the performance difference coefficient and the installation position difference coefficient to obtain torque distribution ratio data corresponding to the first and second servo motors; The calculation formula of the torque distribution ratio data corresponding to the No. 1 servo motor is: ； in, The torque distribution ratio data corresponding to servo motor No. 1, , They are performance difference coefficient and installation position difference coefficient respectively. , , , is the preset characteristic coefficient; The calculation formula of the torque distribution ratio data corresponding to the second servo motor is: ； in, The torque distribution ratio data corresponding to the second servo motor, This is the torque distribution ratio data corresponding to servo motor No.

1.

4. The workpiece clamping method for a gear shaft grinder based on dual servo drive according to claim 3 is characterized in that: The step of acquiring the transmission characteristic data of the first and second servo motors and processing them in combination with the required tightening data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors includes: Acquire transmission characteristic data of the first and second servo motors, including transmission ratio data and transmission efficiency data; According to the transmission ratio data and the transmission efficiency data, and in combination with the required tightening data and the torque distribution ratio data, the servo torque data corresponding to the first and second servo motors are obtained; The calculation formula of the servo torque data corresponding to the No. 1 servo motor is: ； in, is the servo torque data corresponding to servo motor No. 1, , , , They are the transmission ratio data of servo motor No. 1, the transmission efficiency data of servo motor No. 1, the torque distribution ratio data corresponding to servo motor No. 1, and the required tightening data. is the preset characteristic coefficient; The calculation formula of the servo torque data corresponding to the second servo motor is: ； in, is the servo torque data corresponding to the No. 2 servo motor, , , , They are the transmission ratio data of the No. 2 servo motor, the transmission efficiency data of the No. 2 servo motor, the torque distribution ratio data corresponding to the No. 2 servo motor, and the required tightening data. is the preset characteristic coefficient.

5. The workpiece clamping method for a gear shaft grinder based on dual servo drive according to claim 4 is characterized in that: The step of obtaining the working environment characteristic data corresponding to the processing of the n completed workpieces and processing to obtain the working environment correction factor comprises: Acquire the working environment characteristic data corresponding to the processing of the n completed workpieces, including the vibration data and temperature data corresponding to the first and second servo motors; Processing the vibration data and the temperature data to obtain a working environment correction factor; The calculation formula of the working environment correction factor is: ； in, is the working environment correction factor corresponding to the processing of the i-th completed workpiece, , , , They are respectively the vibration data corresponding to the No. 1 servo motor, the vibration data corresponding to the No. 2 servo motor, the temperature data corresponding to the No. 1 servo motor, and the temperature data corresponding to the No. 2 servo motor when the i-th finished workpiece among the n finished workpieces is processed. , , , , is the preset characteristic coefficient.

6. The workpiece clamping method for a gear shaft grinder based on dual servo drive according to claim 5 is characterized in that: The obtaining of the precision feature data corresponding to the n finished workpieces, processing to obtain the corresponding machining quality effectiveness index, and respectively processing with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient, includes: Acquire the precision feature data corresponding to the n finished workpieces, including dimensional accuracy data, surface roughness data, and coaxiality data; Processing the dimensional accuracy data, surface roughness data and coaxiality data to obtain machining quality effectiveness indexes corresponding to the n finished workpieces; The machining quality effectiveness indexes corresponding to the n finished workpieces are processed one by one with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient.

7. The workpiece clamping method for a gear shaft grinder based on dual servo drive according to claim 6 is characterized in that: The processing according to the required tightening data, the servo torque data and the working environment correction factor corresponding to the n finished workpieces combined with the processing quality deviation coefficient to obtain the processing quality correction index includes: The processing is performed according to the required tightening data, the servo torque data and the working environment correction factor corresponding to the n completed workpieces in combination with the processing quality deviation coefficient through a preset workpiece processing quality inspection model to obtain a processing quality correction index; The calculation formula of the processing quality correction index is: ； in, is the processing quality correction index, , , , , They are the required tightening data of the i-th finished workpiece among n finished workpieces, the servo torque data corresponding to the No. 1 servo motor, the servo torque data corresponding to the No. 2 servo motor, the working environment correction factor, and the processing quality deviation coefficient. , is the preset characteristic coefficient.

8. The workpiece clamping system of the gear shaft grinder based on dual servo drive is characterized by: The system includes: a memory and a processor, wherein the memory includes a program of a workpiece clamping method for a gear shaft grinder based on dual servo drive, and when the program of the workpiece clamping method for a gear shaft grinder based on dual servo drive is executed by the processor, the following steps are implemented: Acquire material feature data and physical property data of the workpiece to be processed, process to obtain the workpiece texture machinability coefficient, and further process to obtain the required tightening data of the workpiece to be processed; Obtaining the performance data and installation position data corresponding to the No. 1 and No. 2 servo motors respectively, and processing to obtain the torque distribution ratio data corresponding to the No. 1 and No. 2 servo motors; Acquire the transmission characteristic data of the first and second servo motors, and process them in combination with the required tightening data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors; According to the required clamping data and the servo torque data, n workpieces to be processed are clamped and processed to obtain corresponding n completed workpieces; Acquire the working environment characteristic data corresponding to the processing of the n completed workpieces, and process to obtain the working environment correction factor; Acquire the precision feature data corresponding to the n finished workpieces, process them to obtain the corresponding machining quality effectiveness index, and process them with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient; Obtaining a machining quality correction index by processing the required tightening data, the servo torque data and the working environment correction factor corresponding to the n finished workpieces in combination with the machining quality deviation coefficient; A threshold comparison is performed between the processing quality correction index and a preset quality correction threshold, and the servo torque data is adjusted according to the threshold comparison result.

9. The gear shaft grinder workpiece clamping system based on dual servo drive according to claim 8, characterized in that: The step of acquiring material feature data and physical property data of the workpiece to be processed, processing to obtain a workpiece texture machinability coefficient, and further processing to obtain required tightening data of the workpiece to be processed includes: Acquiring material feature data and physical property data of the workpiece to be processed; The material characteristic data includes original weight distribution data, original centroid distribution data, original size profile data and support contact area data; The physical property data includes elastic modulus data and plastic hardness data; According to the original component centroid distribution data, the original component size profile data and the clamping contact area data, combined with the elastic modulus data and the plastic hardness data, processing is performed to obtain the workpiece texture machinability coefficient; According to the weight distribution data of the original part, combined with the workpiece texture machinability coefficient, processing is performed to obtain the required tightening data of the workpiece to be processed; The calculation formula of the workpiece texture machinability coefficient is: ； in, is the workpiece texture machinability coefficient, , , They are the original component centroid distribution data, original component size profile data, and support contact area data. , They are elastic modulus data and plastic hardness data respectively. , , , is the preset characteristic coefficient; The calculation formula for the demand tightening data is: ； in, To meet the demand, , They are the original weight distribution data, the workpiece texture machinability coefficient, , is the preset characteristic coefficient.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a program for a workpiece clamping method for a gear shaft grinder based on dual servo drive. When the program for a workpiece clamping method for a gear shaft grinder based on dual servo drive is executed by a processor, the steps of the workpiece clamping method for a gear shaft grinder based on dual servo drive as described in any one of claims 1 to 7 are implemented.

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