Workpiece clamping method, system and medium for a gear shaft grinding machine based on dual servo drive

Abstract

The present application provides a workpiece clamping method, system and medium for a gear shaft grinding machine based on dual servo drive. The method includes: obtaining material characteristic data and physical property data of a workpiece to be machined, processing to obtain required clamping force data, obtaining torque distribution ratio data by processing the performance data and installation position data of dual servo motors, and processing in combination with transmission characteristic data to obtain servo torque data of the dual servo motors, performing clamping and machining according to the required clamping force data and the servo torque data to obtain n finished workpieces, obtaining precision characteristic data of the finished workpieces, processing to obtain a machining quality effectiveness index, further processing to obtain a machining quality deviation coefficient, processing in combination with the required clamping force data, the servo torque data and a working environment correction factor to obtain a machining quality correction index, comparing with a preset threshold value, and adjusting the servo torque data according to the comparison result, so as to realize the technology of workpiece clamping for a gear shaft grinding machine based on dual servo drive.

Description

Technical Field

[0001] The present application relates to the technical field of workpiece clamping, and more specifically, to a workpiece clamping method, system and medium for a gear shaft grinding machine based on dual servo drives. Background Art

[0002] Modern manufacturing industries are constantly improving production precision, efficiency and automation levels.

[0003] In traditional manufacturing industries, workpiece clamping often relies on manual operations, which not only has low efficiency, but also makes it difficult to guarantee clamping precision, is prone to errors, and affects product quality.

[0004] In view of the above problems, there is an urgent need for effective technical solutions. Summary of the Invention

[0005] The purpose of the present application is to provide a workpiece clamping method, system and medium for a gear shaft grinding machine based on dual servo drives, which can obtain the required tightening data of the workpiece to be processed through calculation, and obtain the distributed servo forces of the dual servo motors through the torque distribution ratio. Based on this, the workpiece is processed, and then the clamping is adjusted through the obtained machining quality correction index, realizing the technology of workpiece clamping for a gear shaft grinding machine based on dual servo drives.

[0006] The present application also provides a workpiece clamping method for a gear shaft grinding machine based on dual servo drives, including the following steps:

[0007] Obtain the material characteristic data and physical property data of the workpiece to be processed, and process to obtain the machinability coefficient of the workpiece texture, and further process to obtain the required tightening data of the workpiece to be processed;

[0008] Obtain the performance data and installation position data corresponding to the first and second servo motors respectively, and process to obtain the torque distribution ratio data corresponding to the first and second servo motors;

[0009] Obtain the transmission characteristic data of the first and second servo motors, and process 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;

[0010] Clamp and process n workpieces to be processed according to the required tightening data and the servo torque data to obtain n corresponding completed workpieces;

[0011] Obtain the working environment characteristic data corresponding to the processing of the n completed workpieces, and process to obtain the working environment correction factor;

[0012] Obtain the precision characteristic data corresponding to the n finished workpieces, process to obtain the corresponding machining quality effectiveness index, and respectively process with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient;

[0013] According to the required clamping data, the servo torque data, and the working environment correction factor corresponding to the n finished workpieces, combine with the machining quality deviation coefficient for processing to obtain the machining quality correction index;

[0014] Compare the machining quality correction index with the preset quality correction threshold, and adjust the servo torque data according to the threshold comparison result.

[0015] Optionally, in the workpiece clamping method of the gear shaft grinding machine based on dual servo drive described in this application, the obtaining of the material characteristic data and physical property data of the workpiece to be machined, and processing to obtain the workpiece texture machinability coefficient, and further processing to obtain the required clamping data of the workpiece to be machined includes:

[0016] Obtain the material characteristic data and physical property data of the workpiece to be machined;

[0017] The material characteristic data includes original part weight distribution data, original part centroid distribution data, original part size profile data, and clamping contact area data;

[0018] The physical property data includes elastic modulus data and plastic hardness data;

[0019] According to the original part centroid distribution data, original part size profile data, and clamping contact area data, combine with the elastic modulus data and plastic hardness data for processing to obtain the workpiece texture machinability coefficient;

[0020] According to the original part weight distribution data, combine with the workpiece texture machinability coefficient for processing to obtain the required clamping data of the workpiece to be machined;

[0021] The calculation formula of the workpiece texture machinability coefficient is:

[0022] ;

[0023] Where, is the workpiece texture machinability coefficient, , , are respectively the original part centroid distribution data, original part size profile data, and clamping contact area data, , are respectively the elastic modulus data and plastic hardness data, , , , is a preset characteristic coefficient;

[0024] The calculation formula of the required clamping data is:

[0025] ;

[0026] where, is the required clamping data, , are the original part weight distribution data and the workpiece texture machinability coefficient respectively, , are preset characteristic coefficients.

[0027] Optionally, in the workpiece clamping method of the gear shaft grinding machine based on dual servo drive described in this application, obtaining 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 includes:

[0028] Obtain the performance data and installation position data corresponding to the first and second servo motors respectively;

[0029] The performance data includes rated power data, rated torque data, moment of inertia data, and power factor;

[0030] Process according to the rated power data, rated torque data, moment of inertia data, and power factor to obtain the performance difference coefficient between the first and second servo motors;

[0031] The installation position data includes installation height data, installation angle data, and installation reference plane data;

[0032] Process according to the installation height data, installation angle data, and installation reference plane data to obtain the installation position difference coefficient between the first and second servo motors;

[0033] Process according to the performance difference coefficient and the installation position difference coefficient to obtain the torque distribution ratio data corresponding to the first and second servo motors;

[0034] The calculation formula of the torque distribution ratio data corresponding to the first servo motor is:

[0035] ;

[0036] where, is the torque distribution ratio data corresponding to the first servo motor, , are the performance difference coefficient and the installation position difference coefficient respectively, , 、 , is the preset characteristic coefficient;

[0037] The calculation formula for the torque distribution ratio data corresponding to the second servo motor is:

[0038] ;

[0039] Among them, is the torque distribution ratio data corresponding to the second servo motor, is the torque distribution ratio data corresponding to the first servo motor.

[0040] Optionally, in the workpiece clamping method of the gear shaft grinding machine based on dual servo drive described in this application, obtaining the transmission characteristic data of the first and second servo motors, and processing them in combination with the required clamping data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors includes:

[0041] Obtaining the transmission characteristic data of the first and second servo motors, including transmission ratio data and transmission efficiency data;

[0042] Processing according to the transmission ratio data, transmission efficiency data, and in combination with the required clamping data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors;

[0043] The calculation formula for the servo torque data corresponding to the first servo motor is:

[0044] ;

[0045] Among them, is the servo torque data corresponding to the first servo motor, , , , are respectively the transmission ratio data of the first servo motor, the transmission efficiency data of the first servo motor, the torque distribution ratio data corresponding to the first servo motor, and the required clamping data, is the preset characteristic coefficient;

[0046] The calculation formula for the servo torque data corresponding to the second servo motor is:

[0047] ;

[0048] Among them, is the servo torque data corresponding to the second servo motor, , , , They are respectively the transmission ratio data of the second servo motor, the transmission efficiency data of the second servo motor, the torque distribution ratio data corresponding to the second servo motor, and the required clamping data. is a preset characteristic coefficient.

[0049] Optionally, in the workpiece clamping method of the gear shaft grinding machine based on dual servo drive described in this application, the obtaining of the working environment characteristic data corresponding to the processing of the n completed workpieces and the processing to obtain the working environment correction factor includes:

[0050] Obtaining 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;

[0051] Processing according to the vibration data and temperature data to obtain the working environment correction factor;

[0052] The calculation formula of the working environment correction factor is:

[0053] ;

[0054] Among them, is the working environment correction factor corresponding to the processing of the i-th completed workpiece, , , , are respectively the vibration data corresponding to the first servo motor, the vibration data corresponding to the second servo motor, the temperature data corresponding to the first servo motor, and the temperature data corresponding to the second servo motor during the processing of the i-th completed workpiece among the n completed workpieces, , , , , are preset characteristic coefficients.

[0055] Optionally, in the workpiece clamping method of the gear shaft grinding machine based on dual servo drive described in this application, the obtaining of the precision characteristic data corresponding to the n completed workpieces, the processing to obtain the corresponding machining quality effectiveness index, and the processing with the standard machining quality effectiveness index respectively to obtain the corresponding machining quality deviation coefficient include:

[0056] Obtaining the precision characteristic data corresponding to the n completed workpieces, including dimensional accuracy data, surface roughness data, and coaxiality data;

[0057] Processing according to the dimensional accuracy data, surface roughness data, and coaxiality data to obtain the machining quality effectiveness indexes corresponding to the n completed workpieces respectively;

[0058] Process the machining quality effectiveness indices corresponding to the n completed workpieces one by one with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficients.

[0059] Optionally, in the workpiece clamping method of the gear shaft grinding machine based on dual servo drive described in this application, processing the demand tightening data, the servo torque data, and the working environment correction factor corresponding to the n completed workpieces in combination with the machining quality deviation coefficient to obtain a machining quality correction index includes:

[0060] Process the demand tightening data, the servo torque data, and the working environment correction factor corresponding to the n completed workpieces in combination with the machining quality deviation coefficient through a preset workpiece machining quality inspection model to obtain a machining quality correction index;

[0061] The calculation formula for the machining quality correction index is:

[0062] ;

[0063] Wherein, is the machining quality correction index, , , , , are respectively the demand tightening data of the i-th completed workpiece among the n completed workpieces, the servo torque data corresponding to the first servo motor, the servo torque data corresponding to the second servo motor, the working environment correction factor, and the machining quality deviation coefficient, , are preset characteristic coefficients.

[0064] In a second aspect, this application provides a workpiece clamping system for a gear shaft grinding machine based on dual servo drive. The system includes: a memory and a processor. The memory includes a program for the workpiece clamping method of the gear shaft grinding machine based on dual servo drive. When the program for the workpiece clamping method of the gear shaft grinding machine based on dual servo drive is executed by the processor, the following steps are implemented:

[0065] Obtain the material characteristic data and physical property data of the workpiece to be machined, process to obtain the workpiece texture machinability coefficient, and further process to obtain the demand tightening data of the workpiece to be machined;

[0066] Obtain the performance data and installation position data corresponding to the first and second servo motors respectively, and process to obtain the torque distribution ratio data corresponding to the first and second servo motors;

[0067] Obtain the transmission characteristic data of the first and second servo motors, and process them in combination with the required clamping data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors;

[0068] Clamp and process n workpieces to be machined according to the required clamping data and the servo torque data to obtain n corresponding completed workpieces;

[0069] Obtain the working environment characteristic data corresponding to the processing of the n completed workpieces, and process to obtain a working environment correction factor;

[0070] Obtain the precision characteristic data corresponding to the n completed workpieces, process to obtain the corresponding machining quality effectiveness index, and process them respectively with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient;

[0071] Process according to the required clamping data, the servo torque data, and the working environment correction factor corresponding to the n completed workpieces in combination with the machining quality deviation coefficient to obtain a machining quality correction index;

[0072] Compare the machining quality correction index with a preset quality correction threshold, and adjust the servo torque data according to the threshold comparison result.

[0073] Optionally, in the workpiece clamping system of the gear shaft grinding machine based on dual servo drive described in this application, the steps of obtaining the material characteristic data and physical property data of the workpiece to be machined, processing to obtain the workpiece texture machinability coefficient, and further processing to obtain the required clamping data of the workpiece to be machined include:

[0074] Obtain the material characteristic data and physical property data of the workpiece to be machined;

[0075] The material characteristic data includes original part weight distribution data, original part centroid distribution data, original part size profile data, and clamping contact area data;

[0076] The physical property data includes elastic modulus data and plastic hardness data;

[0077] Process according to the original part centroid distribution data, the original part size profile data, and the clamping contact area data, in combination with the elastic modulus data and the plastic hardness data to obtain the workpiece texture machinability coefficient;

[0078] Process according to the original part weight distribution data, in combination with the workpiece texture machinability coefficient to obtain the required clamping data of the workpiece to be machined;

[0079] The calculation formula of the workpiece texture machinability coefficient is:

[0080] ;

[0081] Among them, is the work-piece texture machinability coefficient, , , are respectively the original part centroid distribution data, the original part dimension profile data, and the clamping contact area data, , are respectively the elastic modulus data and the plastic hardness data, , , , are preset characteristic coefficients;

[0082] The calculation formula for the required clamping force data is:

[0083] ;

[0084] Among them, is the required clamping force data, , are respectively the original part weight distribution data and the work-piece texture machinability coefficient, , are preset characteristic coefficients.

[0085] Thirdly, the present application also provides a computer-readable storage medium, in which a program for the work-piece clamping method of a gear shaft grinding machine based on dual servo drives is stored. When the program for the work-piece clamping method of a gear shaft grinding machine based on dual servo drives is executed by a processor, the steps of the work-piece clamping method of a gear shaft grinding machine based on dual servo drives as described in any one of the above are implemented.

[0086] As described above, the workpiece clamping method, system and medium of the gear shaft grinding machine based on dual servo drive provided by this application obtain the material characteristic data and physical property data of the workpiece to be processed, process to obtain the required clamping data, obtain the corresponding torque distribution ratio data by processing the performance data and installation position data corresponding to the two servo motors respectively, and combine with the transmission characteristic data for processing to obtain the servo torque data corresponding to the two servo motors. Clamp and process n workpieces to be processed according to the required clamping data and servo torque data to obtain the corresponding n completed workpieces. Obtain the working environment characteristic data corresponding to the processing of the completed workpieces, process to obtain the working environment correction factor, obtain the precision characteristic data corresponding to the n completed workpieces, process to obtain the corresponding machining quality effectiveness index, and process with the standard machining quality effectiveness index respectively to obtain the corresponding machining quality deviation coefficient. Process according to the required clamping data, servo torque data, working environment correction factor and machining quality deviation coefficient to obtain the machining quality correction index. Compare the machining quality correction index with the preset quality correction threshold, and adjust the servo torque data according to the threshold comparison result, so as to realize the technology of workpiece clamping of the gear shaft grinding machine based on dual servo drive.

[0087] Other features and advantages of this application will be described in the subsequent specification, and, in part, will be obvious from the specification, or can be understood by implementing the embodiments of this application. The objectives and other advantages of this application can be realized and obtained by the structure specifically pointed out in the written specification and the drawings. Brief Description of the Drawings

[0088] In order to more clearly illustrate the technical solutions of the embodiments of this application, the following will briefly introduce the drawings required to be used in the embodiments of this application. It should be understood that the following drawings only show some embodiments of this application, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0089] Figure 1 It is a flowchart of the workpiece clamping method of the gear shaft grinding machine based on dual servo drive provided by the embodiment of this application;

[0090] Figure 2 It is a flowchart of obtaining the required clamping data of the workpiece clamping method of the gear shaft grinding machine based on dual servo drive provided by the embodiment of this application;

[0091] Figure 3 It is a flowchart of obtaining the torque distribution ratio data of the workpiece clamping method of the gear shaft grinding machine based on dual servo drive provided by the embodiment of this application;

[0092] Figure 4It is a flowchart for obtaining servo torque data of a workpiece clamping method for a gear shaft grinding machine based on dual servo drives provided by an embodiment of the present application. Specific embodiments

[0093] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying 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 the embodiments. The components of the embodiments of the present application usually described and illustrated in the accompanying 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 accompanying drawings is not intended to limit the scope of the present application claimed, but only represents the selected embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative efforts belong to the scope of protection of the present application.

[0094] It should be noted that similar reference numerals and letters indicate similar items in the following drawings. Therefore, 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 the present application, terms such as "first" and "second" are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0095] Please refer to Figure 1 , Figure 1 is a flowchart of a workpiece clamping method for a gear shaft grinding machine based on dual servo drives in some embodiments of the present application. This workpiece clamping method for a gear shaft grinding machine based on dual servo drives is used in terminal devices such as computers and mobile phone terminals. This workpiece clamping method for a gear shaft grinding machine based on dual servo drives includes the following steps:

[0096] S11. Obtain the material characteristic data and physical property data of the workpiece to be processed, and process to obtain the workability coefficient of the workpiece texture, and further process to obtain the required clamping data of the workpiece to be processed;

[0097] S12. Obtain the performance data and installation position data corresponding to the first and second servo motors respectively, and process to obtain the torque distribution ratio data corresponding to the first and second servo motors;

[0098] S13. Obtain the transmission characteristic data of the first and second servo motors, and process in combination with the required clamping data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors;

[0099] S14. Clamp and process n workpieces to be processed according to the required clamping data and the servo torque data to obtain n corresponding completed workpieces;

[0100] S15. Obtain the working environment characteristic data corresponding to the processing of the n finished workpieces, and process to obtain a working environment correction factor;

[0101] S16. Obtain the precision characteristic data corresponding to the n finished workpieces, process to obtain the corresponding machining quality effectiveness index, and respectively process with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient;

[0102] S17. Process according to the required clamping 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 to obtain a machining quality correction index;

[0103] S18. Compare the machining quality correction index with a preset quality correction threshold, and adjust the servo torque data according to the threshold comparison result.

[0104] It should be noted that in order to realize the self - adjustment of the workpiece clamping of a gear shaft grinding machine with dual - servo drive, so as to improve the machining accuracy and quality of the workpiece, and when the machining quality of the workpiece deviates or fails to meet the expected effect, by adjusting the dual - servo torque, thereby improving the machining quality and accuracy. First, obtain the material characteristic data and physical property data of the workpiece to be machined, process to obtain the required clamping data, process the performance data and installation position data corresponding to the two servo motors respectively to obtain the corresponding torque distribution ratio data, and process in combination with the transmission characteristic data to obtain the servo torque data corresponding to the two servo motors. Clamp and process n workpieces to be machined according to the required clamping data and servo torque data to obtain the corresponding n finished workpieces. Obtain the working environment characteristic data corresponding to the processing of the finished workpieces, process to obtain a working environment correction factor, obtain the precision characteristic data corresponding to the n finished workpieces, process to obtain the corresponding machining quality effectiveness index, and respectively process with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient. Process according to the required clamping data, servo torque data, and working environment correction factor in combination with the machining quality deviation coefficient to obtain a machining quality correction index. Compare the machining quality correction index with a preset quality correction threshold, and adjust the servo torque data according to the threshold comparison result, so as to realize the technology of workpiece clamping of a gear shaft grinding machine based on dual - servo drive.

[0105] Please refer to Figure 2 , Figure 2 is the flowchart of obtaining the required clamping data of the workpiece clamping method of a gear shaft grinding machine based on dual - servo drive in some embodiments of the present application. According to the embodiments of the present invention, the obtaining of the material characteristic data and physical property data of the workpiece to be machined, and processing to obtain the machinability coefficient of the workpiece texture, and further processing to obtain the required clamping data of the workpiece to be machined includes:

[0106] S21. Obtain the material characteristic data and physical property data of the workpiece to be processed;

[0107] S22. The material characteristic data includes original part weight distribution data, original part centroid distribution data, original part size profile data, and clamping contact area data;

[0108] S23. The physical property data includes elastic modulus data and plastic hardness data;

[0109] S24. Process according to the original part centroid distribution data, original part size profile data, and clamping contact area data, combined with the elastic modulus data and plastic hardness data, to obtain the work-piece texture machinability coefficient;

[0110] S25. Process according to the original part weight distribution data, combined with the work-piece texture machinability coefficient, to obtain the required clamping data of the workpiece to be processed;

[0111] The calculation formula for the work-piece texture machinability coefficient is:

[0112] ;

[0113] where is the work-piece texture machinability coefficient, , , are the original part centroid distribution data, original part size profile data, and clamping contact area data respectively, , are the elastic modulus data and plastic hardness data respectively, , , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset mechanical manufacturing information database);

[0114] The calculation formula for the required clamping data is:

[0115] ;

[0116] where is the required clamping data, , are the original part weight distribution data and the work-piece texture machinability coefficient respectively, , are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset mechanical manufacturing information database).

[0117] It should be noted that before processing the workpiece, it is necessary to first clamp the workpiece to be processed. To improve the clamping quality, it is necessary to first calculate the tightening 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. The material characteristic data includes data on the original weight distribution, original centroid distribution, original size profile, and clamping contact area. The physical property data includes elastic modulus data and plastic hardness data. Based on the above data, processing is carried out to obtain the workability coefficient of the workpiece texture. Further processing is carried out in combination with the original weight distribution data to obtain the required tightening data.

[0118] Please refer to Figure 3 , Figure 3 is a flowchart for obtaining torque distribution ratio data of the workpiece clamping method of the gear shaft grinding machine based on dual servo drives in some embodiments of the present application. According to an embodiment of the present invention, 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 includes:

[0119] S31. Obtain the performance data and installation position data corresponding to the first and second servo motors respectively;

[0120] S32. The performance data includes rated power data, rated torque data, moment of inertia data, and power factor;

[0121] S33. Process according to the rated power data, rated torque data, moment of inertia data, and power factor to obtain the performance difference coefficient between the first and second servo motors;

[0122] S34. The installation position data includes installation height data, installation angle data, and installation reference plane data;

[0123] S35. Process according to the installation height data, installation angle data, and installation reference plane data to obtain the installation position difference coefficient between the first and second servo motors;

[0124] S36. Process according to the performance difference coefficient and the installation position difference coefficient to obtain the torque distribution ratio data corresponding to the first and second servo motors;

[0125] The calculation formula for the torque distribution ratio data corresponding to the first servo motor is:

[0126] ;

[0127] Where is the torque distribution ratio data corresponding to the first servo motor, , The coefficient of performance difference and the coefficient of installation position difference, respectively, and and and are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset mechanical manufacturing information database);

[0128] The calculation formula for the torque distribution ratio data corresponding to the second servo motor is:

[0129] ;

[0130] Among them, is the torque distribution ratio data corresponding to the second servo motor, is the torque distribution ratio data corresponding to the first servo motor.

[0131] It should be noted that since it is a dual servo motor drive, before calculating the servo torques of the dual servo motors respectively, it is necessary to first obtain the torque distribution ratio data corresponding to the two motors. Therefore, it is necessary to obtain the coefficient of performance difference and the coefficient of installation position difference between the dual servo motors, and process them to obtain the torque distribution ratio data corresponding to the first and second servo motors.

[0132] Please refer to Figure 4 , Figure 4 which is the flowchart for obtaining servo torque data of the workpiece clamping method of the gear shaft grinding machine based on dual servo drive in some embodiments of the present application. According to the embodiments of the present invention, obtaining the transmission characteristic data of the first and second servo motors, and processing them in combination with the required clamping data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors includes:

[0133] S41. Obtain the transmission characteristic data of the first and second servo motors, including transmission ratio data and transmission efficiency data;

[0134] S42. Process according to the transmission ratio data, transmission efficiency data, and in combination with the required clamping data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors;

[0135] The calculation formula for the servo torque data corresponding to the first servo motor is:

[0136] ;

[0137] Among them, is the servo torque data corresponding to the first servo motor, and and and They are respectively the transmission ratio data of the first servo motor, the transmission efficiency data of the first servo motor, the torque distribution ratio data corresponding to the first servo motor, and the required clamping data. is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset mechanical manufacturing information database);

[0138] The calculation formula for the servo torque data corresponding to the second servo motor is:

[0139] ;

[0140] Among them, is the servo torque data corresponding to the second servo motor, , , , They are respectively the transmission ratio data of the second servo motor, the transmission efficiency data of the second servo motor, the torque distribution ratio data corresponding to the second servo motor, and the required clamping data. is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset mechanical manufacturing information database).

[0141] It should be noted that the servo torque provided by the double servo motors corresponding to the required clamping data of the workpiece to be processed is affected not only by the torque distribution ratio, but also by the transmission characteristics of the motors themselves. Therefore, it is first necessary to obtain the transmission characteristic data of the first and second servo motors, including the transmission ratio data and the transmission efficiency data, and process them in combination with the required clamping data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors.

[0142] According to the embodiment of the present invention, obtaining the working environment characteristic data corresponding to the processing of the n finished workpieces and processing to obtain the working environment correction factor includes:

[0143] Obtaining the working environment characteristic data corresponding to the processing of the n finished workpieces, including the vibration data and temperature data corresponding to the first and second servo motors;

[0144] Processing according to the vibration data and temperature data to obtain the working environment correction factor;

[0145] The calculation formula for the working environment correction factor is:

[0146] ;

[0147] Among them, is the working environment correction factor corresponding to the processing of the i-th finished workpiece, , , , The vibration data corresponding to the first servo motor, the vibration data corresponding to the second servo motor, the temperature data corresponding to the first servo motor, and the temperature data corresponding to the second servo motor when processing the i-th completed workpiece among the n completed workpieces respectively, 、 、 、 、 are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset mechanical manufacturing information database).

[0148] It should be noted that during the processing of the workpiece, the servo motor will generate vibration, and at the same time, the equipment will also heat up. These factors will all have a certain impact on the processing 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.

[0149] According to the embodiment of the present invention, the obtaining of the precision characteristic data corresponding to the n completed workpieces, processing to obtain the corresponding processing quality effectiveness index, and respectively processing with the standard processing quality effectiveness index to obtain the corresponding processing quality deviation coefficient include:

[0150] Obtaining the precision characteristic data corresponding to the n completed workpieces, including dimensional accuracy data, surface roughness data, and coaxiality data;

[0151] Processing according to the dimensional accuracy data, surface roughness data, and coaxiality data to obtain the processing quality effectiveness index corresponding to each of the n completed workpieces;

[0152] Processing each of the processing quality effectiveness indexes corresponding to the n completed workpieces with the standard processing quality effectiveness index one by one to obtain the corresponding processing quality deviation coefficient.

[0153] It should be noted that after clamping and processing the n workpieces to be processed according to the corresponding obtained demand clamping data and servo torque data to obtain the corresponding n completed workpieces, it is necessary to inspect the processing quality. Therefore, it is necessary to collect the precision characteristic data of the n completed workpieces, including dimensional accuracy data, surface roughness data, and coaxiality data, process the above data to obtain the corresponding processing quality effectiveness index, and respectively process with the standard processing quality effectiveness index to obtain the corresponding processing quality deviation coefficient.

[0154] According to the embodiment of the present invention, the processing of combining the demand clamping data, the servo torque data, and the working environment correction factor corresponding to the n completed workpieces with the processing quality deviation coefficient to obtain the processing quality correction index includes:

[0155] The demand tightening data, the servo torque data, and the working environment correction factor corresponding to the n finished workpieces are combined with the machining quality deviation coefficient and processed through a preset workpiece machining quality inspection model to obtain a machining quality correction index;

[0156] The calculation formula of the machining quality correction index is:

[0157] ;

[0158] where, is the machining quality correction index, , , , , are respectively the demand tightening data of the i-th finished workpiece among the n finished workpieces, the servo torque data corresponding to the first servo motor, the servo torque data corresponding to the second servo motor, the working environment correction factor, and the machining quality deviation coefficient, , are preset characteristic coefficients (the characteristic coefficients are obtained by querying a preset mechanical manufacturing information database).

[0159] It should be noted that to determine whether the finished workpieces obtained by the clamping and machining methods in the solution meet the expected machining quality, it is necessary to process the demand tightening data, servo torque data, and working environment correction factor corresponding to the n finished workpieces in combination with the machining quality deviation coefficient through the calculation formula of the preset workpiece machining quality inspection model to obtain the machining quality correction index.

[0160] In a second aspect, the present invention also discloses a workpiece clamping system for a gear shaft grinding machine based on dual servo drives, including a memory and a processor. The memory includes a program for the workpiece clamping method of the gear shaft grinding machine based on dual servo drives. When the program for the workpiece clamping method of the gear shaft grinding machine based on dual servo drives is executed by the processor, the following steps are implemented:

[0161] Obtain the material characteristic data and physical property data of the workpiece to be machined, process and obtain the workability coefficient of the workpiece texture, and further process to obtain the demand tightening data of the workpiece to be machined;

[0162] Obtain the performance data and installation position data respectively corresponding to the first and second servo motors, and process to obtain the torque distribution ratio data corresponding to the first and second servo motors;

[0163] Obtain the transmission characteristic data of the first and second servo motors, and process in combination with the demand tightening data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors;

[0164] Clamp and process n workpieces to be machined according to the required clamping data and the servo torque data, and obtain the corresponding n completed workpieces;

[0165] Obtain the working environment characteristic data corresponding to the machining process of the n completed workpieces, and process to obtain a working environment correction factor;

[0166] Obtain the precision characteristic data corresponding to the n completed workpieces, process to obtain the corresponding machining quality effectiveness index, and respectively process with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient;

[0167] Process according to the required clamping data, the servo torque data, and the working environment correction factor corresponding to the n completed workpieces in combination with the machining quality deviation coefficient to obtain a machining quality correction index;

[0168] Compare the machining quality correction index with a preset quality correction threshold, and adjust the servo torque data according to the threshold comparison result.

[0169] It should be noted that in order to realize the self - adjustment of the workpiece clamping of a double - servo - driven gear shaft grinding machine, thereby improving the machining accuracy and quality of the workpiece, and when the machining quality of the workpiece shows deviation or fails to meet the expected effect, by adjusting the double - servo torque, and further improving the machining quality and accuracy technology. First, obtain the material characteristic data and physical property data of the workpiece to be machined, process to obtain the required clamping data, process the performance data and installation position data corresponding to the two servo motors respectively to obtain the corresponding torque distribution ratio data, and process in combination with the transmission characteristic data to obtain the servo torque data corresponding to the two servo motors. Clamp and process n workpieces to be machined according to the required clamping data and the servo torque data, and obtain the corresponding n completed workpieces. Obtain the working environment characteristic data corresponding to the machining process of the completed workpieces, process to obtain a working environment correction factor. Obtain the precision characteristic data corresponding to the n completed workpieces, process to obtain the corresponding machining quality effectiveness index, and respectively process with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient. Process according to the required clamping data, the servo torque data, and the working environment correction factor in combination with the machining quality deviation coefficient to obtain a machining quality correction index. Compare the machining quality correction index with a preset quality correction threshold, and adjust the servo torque data according to the threshold comparison result, thereby realizing the technology of workpiece clamping of a double - servo - driven gear shaft grinding machine.

[0170] According to an embodiment of the present invention, the obtaining of the material characteristic data and physical property data of the workpiece to be machined, and processing to obtain the workability coefficient of the workpiece texture, and further processing to obtain the required clamping data of the workpiece to be machined includes:

[0171] Obtain the material characteristic data and physical property data of the workpiece to be processed;

[0172] The material characteristic data includes original part weight distribution data, original part centroid distribution data, original part size profile data, and clamping contact area data;

[0173] The physical property data includes elastic modulus data and plastic hardness data;

[0174] Process according to the original part centroid distribution data, original part size profile data, and clamping contact area data, combined with the elastic modulus data and plastic hardness data, to obtain the workpiece texture machinability coefficient;

[0175] Process according to the original part weight distribution data, combined with the workpiece texture machinability coefficient, to obtain the required clamping force data of the workpiece to be processed;

[0176] The calculation formula for the workpiece texture machinability coefficient is:

[0177] ;

[0178] Where, is the workpiece texture machinability coefficient, , , are the original part centroid distribution data, original part size profile data, and clamping contact area data respectively, , are the elastic modulus data and plastic hardness data respectively, , , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset mechanical manufacturing information database);

[0179] The calculation formula for the required clamping force data is:

[0180] ;

[0181] Where, is the required clamping force data, , are the original part weight distribution data and the workpiece texture machinability coefficient respectively, , are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset mechanical manufacturing information database).

[0182] It should be noted that before processing the workpiece, it is necessary to first clamp the workpiece to be processed. To improve the clamping quality, it is necessary to first calculate the tightening 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. The material characteristic data includes data on the original weight distribution, the original centroid distribution, the original size profile, and the clamping contact area. The physical property data includes elastic modulus data and plastic hardness data. Based on the above data, processing is carried out to obtain the workability coefficient of the workpiece texture. Further, in combination with the original weight distribution data, processing is carried out to obtain the required tightening data.

[0183] According to an embodiment of the present invention, the obtaining of the performance data and installation position data respectively 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:

[0184] Obtaining the performance data and installation position data respectively corresponding to the first and second servo motors;

[0185] The performance data includes rated power data, rated torque data, moment of inertia data, and power factor;

[0186] Based on the rated power data, rated torque data, moment of inertia data, and power factor, processing is carried out to obtain the performance difference coefficient between the first and second servo motors;

[0187] The installation position data includes installation height data, installation angle data, and installation reference plane data;

[0188] Based on the installation height data, installation angle data, and installation reference plane data, processing is carried out to obtain the installation position difference coefficient between the first and second servo motors;

[0189] Based on the performance difference coefficient and the installation position difference coefficient, processing is carried out to obtain the torque distribution ratio data corresponding to the first and second servo motors;

[0190] The calculation formula for the torque distribution ratio data corresponding to the first servo motor is:

[0191] ;

[0192] Wherein, is the torque distribution ratio data corresponding to the first servo motor, , are respectively the performance difference coefficient and the installation position difference coefficient, , , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying a preset mechanical manufacturing information database);

[0193] The calculation formula for the torque distribution ratio data corresponding to the second servo motor is as follows:

[0194] ;

[0195] Wherein, is the torque distribution ratio data corresponding to the second servo motor, is the torque distribution ratio data corresponding to the first servo motor.

[0196] It should be noted that since it is a dual servo motor drive, 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 the installation position difference coefficient between the dual servo motors, and process them to obtain the torque distribution ratio data corresponding to the first and second servo motors.

[0197] According to the embodiment of the present invention, obtaining the transmission characteristic data of the first and second servo motors, and processing them in combination with the required clamping data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors includes:

[0198] Obtaining the transmission characteristic data of the first and second servo motors, including the transmission ratio data and the transmission efficiency data;

[0199] Processing according to the transmission ratio data, the transmission efficiency data, and in combination with the required clamping data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors;

[0200] The calculation formula for the servo torque data corresponding to the first servo motor is as follows:

[0201] ;

[0202] Wherein, is the servo torque data corresponding to the first servo motor, , , , are respectively the transmission ratio data of the first servo motor, the transmission efficiency data of the first servo motor, the torque distribution ratio data corresponding to the first servo motor, and the required clamping data, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset mechanical manufacturing information database);

[0203] The calculation formula for the servo torque data corresponding to the second servo motor is as follows:

[0204] ;

[0205] Among them, is the servo torque data corresponding to the second servo motor, , , , are respectively the transmission ratio data of the second servo motor, the transmission efficiency data of the second servo motor, the torque distribution ratio data corresponding to the second servo motor, and the required clamping data, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset mechanical manufacturing information database).

[0206] It should be noted that for the servo torque provided by the clamping data required for the workpiece to be processed corresponding to the dual servo motors, in addition to being affected by the torque distribution ratio, the transmission characteristics of the motors themselves are also one of the influencing factors. Therefore, it is first necessary to obtain the transmission characteristic data of the first and second servo motors, including the transmission ratio data and the transmission efficiency data, and process them in combination with the required clamping data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors.

[0207] According to the embodiment of the present invention, obtaining the working environment characteristic data corresponding to the processing of the n completed workpieces and processing to obtain a working environment correction factor includes:

[0208] Obtaining 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;

[0209] Processing according to the vibration data and temperature data to obtain a working environment correction factor;

[0210] The calculation formula of the working environment correction factor is:

[0211] ;

[0212] Among them, is the working environment correction factor corresponding to the processing of the i-th completed workpiece, , , , are respectively the vibration data corresponding to the first servo motor, the vibration data corresponding to the second servo motor, the temperature data corresponding to the first servo motor, and the temperature data corresponding to the second servo motor during the processing of the i-th completed workpiece among the n completed workpieces, , , , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset mechanical manufacturing information database).

[0213] It should be noted that during the machining process of the workpiece, the servo motor will vibrate, and at the same time, the equipment will also generate heat. These factors will all have a certain impact on the machining quality. Therefore, it is necessary to obtain the vibration and temperature data corresponding to the double servo motors and process them to obtain the working environment correction factor.

[0214] According to an embodiment of the present invention, the obtaining of the precision characteristic 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:

[0215] Obtaining the precision characteristic data corresponding to the n finished workpieces, including dimensional accuracy data, surface roughness data, and coaxiality data;

[0216] Processing according to the dimensional accuracy data, surface roughness data, and coaxiality data to obtain the machining quality effectiveness index corresponding to each of the n finished workpieces;

[0217] Processing the machining quality effectiveness index corresponding to each of the n finished workpieces one by one with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient.

[0218] It should be noted that after clamping and machining the n workpieces to be machined according to the corresponding obtained demand clamping data and servo torque data to obtain the corresponding n finished workpieces, it is necessary to inspect the machining quality. 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, process the above data to obtain the corresponding machining quality effectiveness index, and respectively process with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient.

[0219] According to an embodiment of the present invention, the processing of combining the demand clamping data, the servo torque data, and the working environment correction factor corresponding to the n finished workpieces with the machining quality deviation coefficient to obtain the machining quality correction index includes:

[0220] Processing the demand clamping data, the servo torque data, and the working environment correction factor corresponding to the n finished workpieces with the machining quality deviation coefficient through a preset workpiece machining quality inspection model to obtain the machining quality correction index;

[0221] The calculation formula of the machining quality correction index is:

[0222] ;

[0223] Wherein, is the machining quality correction index, , , , , are respectively the required clamping data of the i-th finished workpiece among n finished workpieces, the servo torque data corresponding to the first servo motor, the servo torque data corresponding to the second servo motor, the working environment correction factor, and the machining quality deviation coefficient. , are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset mechanical manufacturing information database).

[0224] It should be noted that to determine whether the finished workpieces obtained by the clamping and machining methods in the solution meet the expected machining quality, it is necessary to process the required clamping data, servo torque data, and working environment correction factor in combination with the machining quality deviation coefficient through the calculation formula of the preset workpiece machining quality inspection model to obtain the machining quality correction index.

[0225] The third aspect of the present invention provides a readable storage medium, in which a program for the workpiece clamping method of a gear shaft grinding machine based on dual servo drive is stored. When the program for the workpiece clamping method of a gear shaft grinding machine based on dual servo drive is executed by a processor, the steps of the workpiece clamping method of a gear shaft grinding machine based on dual servo drive as described in any one of the above are realized.

[0226] The workpiece clamping method, system, and medium of a gear shaft grinding machine based on dual servo drive disclosed in the present invention obtain the required clamping data by acquiring the material characteristic data and physical property data of the workpiece to be machined, obtain the corresponding torque distribution ratio data by processing the performance data and installation position data respectively corresponding to the dual servo motors, and process in combination with the transmission characteristic data to obtain the servo torque data corresponding to the dual servo motors. Clamp and machine process n workpieces to be machined according to the required clamping data and servo torque data to obtain the corresponding n finished workpieces, acquire the working environment characteristic data corresponding during the machining process of the finished workpieces, process to obtain the working environment correction factor, acquire the precision characteristic data corresponding to the n finished workpieces, process to obtain the corresponding machining quality effectiveness index, and process respectively with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient. Process according to the required clamping data, servo torque data, and working environment correction factor in combination with the machining quality deviation coefficient to obtain the machining quality correction index, compare the machining quality correction index with 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 a gear shaft grinding machine based on dual servo drive.

[0227] In several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, 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 couplings, direct couplings, or communication connections between the various components shown or discussed can be through some interfaces. The indirect couplings or communication connections of devices or units can be electrical, mechanical, or other forms.

[0228] The units described above as separate components may or may not be physically separated. The components shown as units may or may not be physical units. They can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0229] In addition, each functional unit in the embodiments of the present invention can be all integrated in a processing unit, or each unit can be separately used as a unit, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware, or in the form of a combination of hardware and software functional units.

[0230] Those of ordinary skill 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 foregoing program can be stored in a readable storage medium. When the program is executed, it executes the steps including the above method embodiments. The foregoing storage medium includes various media that can store program codes, such as removable storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0231] Alternatively, if the above integrated units of the present invention are implemented in the form of software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on such an understanding, the technical solution of the embodiments of the present invention essentially or the part that contributes to the prior art can be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. The foregoing storage medium includes various media that can store program codes, such as removable storage devices, ROM, RAM, magnetic disks, or optical discs.

Claims

1. A workpiece clamping method for a gear shaft grinding machine based on dual servo drive, characterized in that It includes the following steps: Obtain the material characteristic data and physical property data of the workpiece to be processed, process to obtain the work-piece texture machinability coefficient, and further process to obtain the required clamping force data of the workpiece to be processed; Obtain the performance data and installation position data corresponding to the first and second servo motors respectively, and process to obtain the torque distribution ratio data corresponding to the first and second servo motors; Obtain the transmission characteristic data of the first and second servo motors, and process in combination with the required clamping force data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors; Clamp and process n workpieces to be processed according to the required clamping force data and the servo torque data to obtain n corresponding finished workpieces; Obtain the working environment characteristic data corresponding to the processing of the n finished workpieces, and 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 respectively with the standard processing quality effectiveness index to obtain the corresponding processing quality deviation coefficient; Process according to the required clamping force 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 to obtain the processing quality correction index; Compare the processing quality correction index with a preset quality correction threshold, and adjust the servo torque data according to the threshold comparison result.

2. The workpiece clamping method of the gear shaft grinding machine based on dual servo drive according to claim 1, wherein The obtaining the material characteristic data and physical property data of the workpiece to be processed, processing to obtain the work-piece texture machinability coefficient, and further processing to obtain the required clamping force data of the workpiece to be processed includes: Obtain the material characteristic data and physical property data of the workpiece to be processed; The material characteristic data includes original component weight distribution data, original component centroid distribution data, original component size profile data, and clamping contact area data; The physical property data includes elastic modulus data and plastic hardness data; Process according to the original component centroid distribution data, original component size profile data, and clamping contact area data in combination with the elastic modulus data and plastic hardness data to obtain the work-piece texture machinability coefficient; Process according to the original component weight distribution data in combination with the work-piece texture machinability coefficient to obtain the required clamping force data of the workpiece to be processed; The calculation formula of the work-piece texture machinability coefficient is: ； Among them, is the work-piece texture machinability coefficient, , , are respectively the original part centroid distribution data, the original part size profile data, and the clamping contact area data, , are respectively the elastic modulus data and the plastic hardness data, , , , are preset characteristic coefficients; The calculation formula of the required clamping force data is: ； Among them, is the demand tightening data, , are the original part weight distribution data and the workpiece texture machinability coefficient respectively, , are the preset characteristic coefficients.

3. The workpiece clamping method of the gear shaft grinding machine based on dual servo drive according to claim 2, characterized in that, The obtaining 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 includes: Obtain the performance data and installation position data corresponding to the first and second servo motors respectively; The performance data includes rated power data, rated torque data, moment of inertia data, and power factor; Process according to the rated power data, rated torque data, moment of inertia data, and power factor to obtain the performance difference coefficient between the first and second servo motors; The installation position data includes installation height data, installation angle data, and installation reference plane data; Process according to the installation height data, installation angle data, and installation reference plane data to obtain the installation position difference coefficient between the first and second servo motors; Process according to the performance difference coefficient and the installation position difference coefficient to obtain the torque distribution ratio data corresponding to the first and second servo motors; The calculation formula for the torque distribution ratio data corresponding to the first servo motor is: ； Among them, is the torque distribution ratio data corresponding to the first servo motor, , are the performance difference coefficient and the installation position difference coefficient respectively, , , , are preset characteristic coefficients; The calculation formula for the torque distribution ratio data corresponding to the second servo motor is: ； Among them, is the torque distribution ratio data corresponding to the second servo motor, is the torque distribution ratio data corresponding to the first servo motor.

4. The workpiece clamping method of the gear shaft grinder based on dual servo drive according to claim 3, characterized in that Obtain the transmission characteristic data of the first and second servo motors, and process 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, including: Obtain the transmission characteristic data of the first and second servo motors, including transmission ratio data and transmission efficiency data; Process according to the transmission ratio data, transmission efficiency data, and 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; The calculation formula for the servo torque data corresponding to the first servo motor is: ； Among them, is the servo torque data corresponding to the first servo motor, , , , are respectively the transmission ratio data of the first servo motor, the transmission efficiency data of the first servo motor, the torque distribution ratio data corresponding to the first servo motor, and the required clamping data, is the preset characteristic coefficient; The calculation formula for the servo torque data corresponding to the second servo motor is: ； Among them, is the servo torque data corresponding to the second servo motor, , , , are respectively the transmission ratio data of the second servo motor, the transmission efficiency data of the second servo motor, the torque distribution ratio data corresponding to the second servo motor, and the required tightening data, is the preset characteristic coefficient.

5. The workpiece clamping method of the gear shaft grinding machine based on dual servo drive according to claim 4, characterized in that Obtain the working environment characteristic data corresponding to the processing of the n finished workpieces, and process to obtain the working environment correction factor, including: Obtain the working environment characteristic data corresponding to the processing of the n finished workpieces, including the vibration data and temperature data corresponding to the first and second servo motors; Process according to the vibration data and temperature data to obtain the working environment correction factor; The calculation formula for the working environment correction factor is: ； Among them, is the working environment correction factor corresponding to the processing of the i-th completed workpiece, , , , are respectively the vibration data corresponding to the first servo motor, the vibration data corresponding to the second servo motor, the temperature data corresponding to the first servo motor, and the temperature data corresponding to the second servo motor during the processing of the i-th completed workpiece among the n completed workpieces, , , , , are preset characteristic coefficients.

6. The workpiece clamping method of the gear shaft grinding machine based on dual servo drive according to claim 5, characterized in that, Obtain the precision characteristic data corresponding to the n finished workpieces, process to obtain the corresponding machining quality effectiveness index, and process respectively with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient, including: Obtain the precision characteristic data corresponding to the n finished workpieces, including dimensional accuracy data, surface roughness data, and coaxiality data; Process according to the dimensional accuracy data, surface roughness data, and coaxiality data to obtain the machining quality effectiveness index corresponding to each of the n finished workpieces; Process each of the machining quality effectiveness indexes corresponding to the n finished workpieces with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient.

7. The workpiece clamping method of the gear shaft grinding machine based on dual servo drive according to claim 6, characterized in that, Process according to 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 to obtain the machining quality correction index, including: Process according to 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 through a preset workpiece machining quality inspection model to obtain the machining quality correction index; The calculation formula for the machining quality correction index is: ； Among them, is the machining quality correction index, , , , , are respectively the required clamping data of the i-th completed workpiece among n completed workpieces, the servo torque data corresponding to the first servo motor, the servo torque data corresponding to the second servo motor, the working environment correction factor, and the machining quality deviation coefficient, , are preset characteristic coefficients.

8. A workpiece clamping system for a gear shaft grinding machine based on dual servo drive, characterized in that The system includes: a memory and a processor. The memory includes a program for the workpiece clamping method of a gear shaft grinding machine based on dual servo drives. When the program for the workpiece clamping method of the gear shaft grinding machine based on dual servo drives is executed by the processor, the following steps are implemented: Obtain the material characteristic data and physical property data of the workpiece to be machined, process to obtain the machinability coefficient of the workpiece texture, and further process to obtain the required clamping force data of the workpiece to be machined; Obtain the performance data and installation position data corresponding to the first and second servo motors respectively, and process to obtain the torque distribution ratio data corresponding to the first and second servo motors; Obtain the transmission characteristic data of the first and second servo motors, and process in combination with the required clamping force data and the torque distribution ratio data to obtain the servo torque data corresponding to the first and second servo motors; Clamp and machine process n workpieces to be machined according to the required clamping force data and the servo torque data to obtain n corresponding finished workpieces; Obtain the working environment characteristic data corresponding during the machining process of the n finished workpieces, and process to obtain the working environment correction factor; Obtain the precision characteristic data corresponding to the n finished workpieces, process to obtain the corresponding machining quality effectiveness index, and process respectively with the standard machining quality effectiveness index to obtain the corresponding machining quality deviation coefficient; Process according to the required clamping force 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 to obtain the machining quality correction index; Compare the machining quality correction index with a preset quality correction threshold, and adjust the servo torque data according to the threshold comparison result.

9. The workpiece clamping system of a gear shaft grinding machine based on dual servo drives according to claim 8, characterized in that, The obtaining the material characteristic data and physical property data of the workpiece to be machined, processing to obtain the machinability coefficient of the workpiece texture, and further processing to obtain the required clamping force data of the workpiece to be machined includes: Obtain the material characteristic data and physical property data of the workpiece to be machined; The material characteristic data includes original component weight distribution data, original component centroid distribution data, original component size profile data, and clamping contact area data; The physical property data includes elastic modulus data and plastic hardness data; Process according to the original component centroid distribution data, original component size profile data, and clamping contact area data, in combination with the elastic modulus data and plastic hardness data to obtain the machinability coefficient of the workpiece texture; Process according to the original component weight distribution data, in combination with the machinability coefficient of the workpiece texture to obtain the required clamping force data of the workpiece to be machined; The calculation formula for the machinability coefficient of the workpiece texture is: ； Among them, is the work-piece texture machinability coefficient, , , are the centroid distribution data of the original part, the dimension profile data of the original part, and the clamping contact area data respectively, , are the elastic modulus data and the plastic hardness data respectively, , , , are preset characteristic coefficients; The calculation formula for the required clamping force data is: ； Among them, is the demand for tight data, , are the original part weight distribution data and the workpiece texture machinability coefficient respectively, , are the preset characteristic coefficients.

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

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