Batch machining method and system for multi-axis linkage precision parts

Abstract

The invention provides a batch machining method and system for precision parts with multi-axis linkage, and relates to the technical field of part machining, and the batch machining method comprises the steps that information of products to be machined is obtained, and multi-axis linkage process fitting is carried out; the multi-axis linkage machining scheme is analyzed, and inter-axis cooperation is established; abrasion analysis is conducted on the machining tool, and calibration tool compensation is configured; when batch machining is executed, machining control is conducted based on the multi-axis linkage machining scheme and calibration tool compensation, and error collection is executed after execution of each machining axis is completed; and multi-axis linkage compensation is generated based on inter-axis cooperation and error collection results, and machining control is conducted based on the multi-axis linkage compensation. By means of the method and device, the technical problems that in the prior art, due to error accumulation in the batch machining process, the machining precision is reduced, and the product quality is affected can be solved, accumulation of machining errors is reduced through multi-axis linkage compensation and establishment of the tool balanced abrasion result, and the product quality of batch machining is improved.

Description

Technical Field

[0001] The present application relates to the technical field of parts processing, and in particular to a batch processing method and system for multi-axis linkage precision parts. Background Art

[0002] Multi-axis linkage precision parts are widely used in high-end manufacturing fields such as aerospace, automobile manufacturing, electronic equipment, and mold manufacturing. They usually have complex geometric shapes and high-precision requirements, involving multiple processing directions and dimensions, so their processing requires extremely high precision. Multi-axis linkage processing technology can achieve efficient processing of complex geometric shapes by coordinating the work of multiple motion axes, including three-axis, five-axis or even more-axis CNC machine tools. By simultaneously controlling the movement of multiple axes, more complex processing tasks can be completed within one processing cycle, reducing the number of workpiece clamping times, improving processing efficiency, shortening production cycles, and achieving high-precision cutting processing. In the production of multi-axis linkage precision parts, batch processing is a common manufacturing method, which usually requires efficient and stable production of a large number of identical or similar parts. However, as the processing process proceeds, small errors (such as tool wear, inter-axis coordination errors, machine tool thermal deformation, etc.) will gradually accumulate in each processing cycle, resulting in a gradual decrease in the processing accuracy of each subsequent workpiece, ultimately affecting the consistency and accuracy of the entire batch of products. Especially in mass production, the cumulative effect of errors is more obvious, resulting in unstable quality of each part in mass production, which not only affects the product qualification rate, but also leads to frequent process adjustments, thus affecting production efficiency and cost control.

[0003] In summary, the prior art has a technical problem that due to the complexity of multi-axis linkage machining during batch processing, small errors will continue to accumulate, resulting in a decrease in the accuracy of parts processing, further affecting product quality and processing efficiency. Summary of the invention

[0004] The purpose of this application is to provide a batch processing method and system with multi-axis linkage precision parts, so as to solve the technical problem in the prior art that due to the complexity of multi-axis linkage processing during batch processing, small errors will continue to accumulate, resulting in a decrease in the accuracy of parts processing, further affecting product quality and processing efficiency.

[0005] In view of the above problems, the present application provides a batch processing method and system with multi-axis linkage precision parts.

[0006] In a first aspect, the present application provides a batch processing method for precision parts with multi-axis linkage, which is implemented by a batch processing system for precision parts with multi-axis linkage, wherein the batch processing method for precision parts with multi-axis linkage includes: obtaining information of products to be processed, wherein the information of products to be processed includes information of raw materials and finished products, performing process fitting of multi-axis linkage based on the information of products to be processed, and establishing a multi-axis linkage processing plan; performing solution analysis on the multi-axis linkage processing plan, and establishing inter-axis coordination based on the solution analysis results; performing wear analysis on machining tools based on the multi-axis linkage processing plan, establishing a tool balanced wear result, and configuring a calibrated tool compensation for the multi-axis linkage processing plan with the tool balanced wear result; when performing batch processing, performing processing control based on the multi-axis linkage processing plan and the calibrated tool compensation, and performing error collection of the workpiece after each processing axis is executed, and establishing an error collection result; generating multi-axis linkage compensation based on the inter-axis coordination and the error collection result, and performing processing control based on the multi-axis linkage compensation.

[0007] In the second aspect, the present application also provides a batch processing system with multi-axis linkage precision parts, which is used to execute the batch processing method with multi-axis linkage precision parts as described in the first aspect, wherein the batch processing system with multi-axis linkage precision parts includes: a product information acquisition module, the product information acquisition module is used to acquire information about products to be processed, the information about products to be processed includes information about raw materials and finished products, and based on the information about products to be processed, multi-axis linkage process fitting is performed to establish a multi-axis linkage processing plan; a solution analysis module, the solution analysis module is used to analyze the multi-axis linkage processing plan, and based on the solution analysis results Establish inter-axis coordination; a wear analysis module, which is used to perform wear analysis of machining tools based on the multi-axis linkage machining scheme, establish tool balance wear results, and configure calibrated tool compensation of the multi-axis linkage machining scheme with the tool balance wear results; an error collection module, which is used to perform machining control based on the multi-axis linkage machining scheme and calibrated tool compensation when performing batch machining, and perform error collection of the workpiece after each machining axis is completed, and establish error collection results; a compensation machining module, which is used to generate multi-axis linkage compensation based on inter-axis coordination and error collection results, and perform machining control based on multi-axis linkage compensation.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages: By acquiring information about products to be processed, which includes information about raw materials and finished products, multi-axis linkage process fitting is performed based on the information about products to be processed, and a multi-axis linkage processing plan is established; the multi-axis linkage processing plan is analyzed, and inter-axis coordination is established based on the results of the solution analysis; wear analysis of machining tools is performed based on the multi-axis linkage processing plan, and a tool balanced wear result is established, and calibrated tool compensation of the multi-axis linkage processing plan is configured with the tool balanced wear result; when batch processing is performed, processing control is performed based on the multi-axis linkage processing plan and calibrated tool compensation, and workpiece error collection is performed after each processing axis is completed, and an error collection result is established; multi-axis linkage compensation is generated based on inter-axis coordination and error collection results, and processing control is performed based on the multi-axis linkage compensation. In other words, by performing multi-axis linkage process fitting on the product to be processed, identifying and optimizing the collaboration between different axes, real-time monitoring and analysis of tool wear, and collecting workpiece errors after each processing axis is completed, corresponding compensation measures can be generated based on the error size, type and coordination between axes. High precision and high consistency can be maintained in batch processing, avoiding the accumulation of errors and the decline in processing accuracy, ensuring that the accuracy of each batch of products remains consistent, thereby improving the product quality and production efficiency of batch processing.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0011] Figure 1 This is a schematic flow chart of a batch processing method for multi-axis linkage precision parts according to the present application.

[0012] Figure 2 This is a schematic diagram of the structure of a batch processing system for multi-axis linkage precision parts in this application.

[0013] Explanation of the reference numerals: product information acquisition module 11 , solution analysis module 12 , wear analysis module 13 , error collection module 14 , compensation processing module 15 . DETAILED DESCRIPTION

[0014] This application solves the technical problem in the prior art that due to the complexity of multi-axis linkage processing in the batch processing process, small errors will continue to accumulate, resulting in a decrease in the accuracy of parts processing, further affecting product quality and processing efficiency, by providing a batch processing method and system for multi-axis linkage precision parts. By fitting the process of multi-axis linkage for the product to be processed, identifying and optimizing the collaboration between different axes, real-time monitoring and analysis of tool wear, and collecting the error of the workpiece after each processing axis is completed, it is possible to generate corresponding compensation measures based on the error size, type and coordination between axes, maintain high precision and high consistency in batch processing, avoid error accumulation and a decrease in processing accuracy, and ensure that the accuracy of each batch of products remains consistent, thereby improving the product quality and production efficiency of batch processing.

[0015] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0016] For example, please refer to the attached Figure 1 The present application provides a batch processing method of multi-axis linkage precision parts, wherein the batch processing method of multi-axis linkage precision parts is applied to a batch processing system of multi-axis linkage precision parts, and the batch processing method of multi-axis linkage precision parts specifically includes the following steps: Step 1: Obtain information about the product to be processed, which includes information about raw materials and finished products, perform multi-axis linkage process fitting based on the information about the product to be processed, and establish a multi-axis linkage processing plan.

[0017] Specifically, obtain information about the products that need to be processed, including product raw material information and product finished product information. Product raw material information refers to the characteristics and form of the raw materials of the product before processing, usually including information such as the type, hardness, thickness, density, etc. of the raw materials. Product finished product information refers to the final form that the product should achieve after processing, usually including size, shape accuracy, surface finish, structural requirements, etc. For example, if the product to be processed is a component made of aluminum alloy, then the product raw material information includes the hardness, density and thickness of the aluminum alloy; the product finished product information includes the size, shape and surface finish of the component.

[0018] The multi-axis linkage process fitting is performed on the information of the product to be processed. The obtained product raw material information and finished product information are used to simulate and optimize the multi-axis linkage processing process through computer-aided design (CAD) and computer-aided manufacturing (CAM) software. Multi-axis linkage refers to the process in which the CNC machine tool operates through multiple axes simultaneously or in a coordinated manner to complete complex processing tasks, including three-axis and five-axis machine tools. The advantage of multi-axis linkage is that it can reduce the number of workpiece clamping times, improve processing efficiency, and can process complex geometric shapes. Process fitting is to make reasonable adjustments to each step of the processing process based on the information of the product to be processed to adapt to specific processing requirements, including the calculation and optimization of processing paths, speeds, feed rates, cutting conditions, etc., to ensure the stability and accuracy of processing.

[0019] Through process fitting, the raw material information and finished product information of the product are combined to establish a process plan suitable for multi-axis linkage machine tool processing. Combined with the finished product requirements of the product to be processed, the motion trajectory, cutting parameters, tool selection, etc. of the CNC machine tool are determined. The multi-axis linkage processing plan includes how to use multi-axis linkage machine tools for processing and how to set processing parameters (such as cutting rate, tool path, etc.) to achieve the best processing effect. Due to the optimization of process fitting and multi-axis linkage processing plans, the processing time caused by frequent workpiece clamping and unreasonable tool paths in traditional processing methods is reduced, which can not only improve processing efficiency and accuracy, but also reduce errors and waste in the production process and optimize production costs.

[0020] Step 2: Analyze the multi-axis linkage processing solution and establish inter-axis coordination based on the solution analysis results.

[0021] Specifically, the multi-axis linkage machining scheme is parsed and analyzed in detail to identify key machining features, possible sources of errors, and the relationships between each machining step. Through solution analysis, we understand how the various elements of the machining scheme work together and predict possible problems in advance. Solution analysis refers to a comprehensive analysis of the multi-axis linkage machining scheme. By using CAD / CAM software (such as Mastercam or Catia), the machining path is automatically generated and parsed, possible sources of errors are identified, and potential key features and problems are found. In the solution analysis stage, it is necessary to conduct a comprehensive analysis of the multi-axis linkage machining scheme, understand each machining step and parameter, analyze each component, the movement and collaboration of each axis, the machining path, feature machining requirements, potential sources of errors, etc.

[0022] According to the results of the solution analysis, key features are extracted, including processing paths, feature processing requirements, and error distribution. According to the key features, inter-axis coordination analysis is performed to ensure that all axes involved in the processing (such as the X-axis, Y-axis, Z-axis, rotation axis, etc.) can work in coordination and eliminate errors through mutual cooperation. In other words, according to the motion data of each axis obtained in the solution analysis, the coordination relationship between the axes is analyzed, including the mutual influence and coordinated work between the axes. Through the analysis of inter-axis coordination, the error coupling relationship between the axes is identified, and error compensation is performed in a targeted manner. For example, if the motion error of the X-axis will cause a deviation in the Y-axis processing path, compensation is performed by adjusting the motion path of the Y-axis. By optimizing the motion trajectory of each axis, error transmission is minimized and processing accuracy is improved.

[0023] Establish inter-axis collaboration, that is, in multi-axis linkage processing, the mutual cooperation and coordination between the axes (such as X-axis, Y-axis, Z-axis, rotation axis, etc.) ensures that the movement of each axis can be coordinated and consistent, avoiding unnecessary interference and error transmission, thereby ensuring the accuracy and efficiency of the final processing. Inter-axis collaboration refers to the reasonable analysis and adjustment of the motion trajectories of different axes to make the movements between the axes more coordinated, thereby improving the overall processing accuracy and reducing errors. By analyzing the multi-axis linkage processing plan and establishing inter-axis collaboration, error transmission and interference can be minimized and processing accuracy can be improved.

[0024] Step three: Perform wear analysis on the machining tool based on the multi-axis linkage machining scheme, establish tool balance wear results, and configure calibrated tool compensation for the multi-axis linkage machining scheme based on the tool balance wear results.

[0025] Specifically, the multi-axis linkage machining solution refers to the solution of using multiple axes to work together to complete complex machining tasks during multi-axis CNC machining, including parameters such as cutting path, tool selection, feed rate, cutting depth, and how to coordinate control between different axes. According to the cutting parameters and machining conditions in the multi-axis linkage machining solution, combined with the actual use data of the tool, tool wear analysis is performed. Wear analysis refers to monitoring and analyzing the wear of the tool during the machining process, evaluating its wear degree and pattern, including analysis of parameters such as the tool's cutting force, surface quality, and tool life.

[0026] According to the tool usage record, the tool is analyzed in a steady state, the stability retention coefficient is established, the performance stability of the tool in the batch processing process is evaluated, the tool life is predicted and the best time to replace the tool is determined. The tool is used in an actual or simulated processing environment, and the wear data of the tool under specific processing conditions is collected to evaluate the applicability of the tool and optimize the processing plan. The collected wear data is sorted and analyzed to identify and quantify the pattern and degree of tool wear and establish a calibrated wear range. The calibrated wear range is a classification of the degree of tool wear. The range is the allowable range of tool wear, and the best time to replace the tool is determined to ensure processing quality and efficiency.

[0027] Use the stability retention coefficient to perform balanced wear analysis in the calibrated wear range, that is, the tool maintains a stable and uniform wear pattern throughout the use process. Use data analysis tools (such as MATLAB, R software) to determine the wear distribution in different areas of the tool and find out possible uneven wear phenomena. If the wear is uneven, a part of the tool may wear too fast, resulting in unnecessary errors and processing quality problems. According to the tool balanced wear results, the tool in the multi-axis linkage processing plan is compensated. By adjusting the tool trajectory, cutting depth, feed rate and other parameters, the error caused by tool wear is compensated, so that the size and shape accuracy during the processing process are maintained.

[0028] Calibrated tool compensation refers to compensation for errors caused by tool wear during the machining process based on the analysis results of tool wear. Calibrated tool compensation reduces the size and shape deviations caused by tool wear by adjusting the tool trajectory and machining parameters in the machining plan. Once the calibrated tool compensation is configured, this compensation is applied during multi-axis linkage machining to ensure machining accuracy. The compensation will adjust the machining parameters and tool paths in real time to ensure that the final product can still meet the design requirements during the tool wear process. During mass production, the tool status is continuously monitored, and the feed rate is dynamically adjusted according to the real-time wear conditions so that each part processed meets the specification requirements. Through tool wear analysis and calibrated tool compensation, the machining errors caused by tool wear are significantly reduced, ensuring the size and shape accuracy of parts during machining.

[0029] Step 4: When executing batch processing, the processing control is performed based on the multi-axis linkage processing plan and calibrated tool compensation, and the error collection of the workpiece is performed after each processing axis is completed, and the error collection result is established.

[0030] Specifically, in the batch processing process, processing control is carried out according to the multi-axis linkage processing scheme and calibrated tool compensation, and various processing parameters (such as tool path, feed speed, cutting depth, etc.) are managed and adjusted in real time to ensure that each step in the processing process can be accurately executed, thereby ensuring product quality. The multi-axis linkage processing scheme ensures that the tool can coordinate cutting in multiple directions to achieve accurate processing of complex parts. Calibrated tool compensation helps compensate for the processing errors caused by tool wear and maintain processing accuracy. Batch processing refers to the one-time processing of a large number of identical or similar parts during the production process, requiring the equipment to have efficient and stable production capacity to ensure processing quality and production efficiency. The multi-axis linkage processing scheme refers to the processing of complex parts through the collaborative work of multi-axis CNC machine tools in multiple axes, usually including the linkage of three, four or more axes, optimizing the tool path, and being able to cut simultaneously in multiple directions. Calibrated tool compensation refers to adjusting the trajectory and parameters of the tool in processing according to the wear of the tool or the change in the geometric shape to compensate for the processing errors caused by tool wear, which helps to maintain processing accuracy and tool life.

[0031] After each machining axis is completed, the machining results of the workpiece need to be collected for errors. By using measuring equipment (such as lasers, optical scanners, three-coordinate measuring machines, etc.) to detect the workpiece, the error data such as the size, shape, and surface roughness of the workpiece are collected. For example, in the batch processing process, the three-coordinate measuring machine is used to detect the finished parts, measure their geometric dimensions and shape errors, and compare them with the design requirements to record the error values. By collecting the error data after each machining axis is completed, the error collection results are established, including the machining errors of each machining axis, possible sources of errors, and their impact on the overall workpiece quality. The error collection results refer to the evaluation of deviations and their causes in the machining process by regularly collecting and recording error data during the machining process, including machining accuracy, shape error, surface roughness, etc. Through machining control based on multi-axis linkage machining schemes and calibrated tool compensation, it is ensured that each stage of the machining process can be accurately executed and the error generation is reduced. Error collection can timely discover problems in the machining process and make adjustments to ensure that the machining accuracy meets the requirements and avoid large-scale production quality fluctuations.

[0032] Step 5: Generate multi-axis linkage compensation based on inter-axis coordination and error acquisition results, and perform machining control based on multi-axis linkage compensation.

[0033] Specifically, inter-axis coordination means that in multi-axis machining, each axis optimizes the motion trajectory and machining parameters through mutual coordination according to the machining task and error distribution to improve the overall machining accuracy and efficiency. The error collection result refers to the machining error data of the workpiece collected after the execution of each axis during the machining process, including dimensional error, surface shape deviation, tool trajectory error, etc. According to the collected error data, the type of error (such as random error) and source (mechanical wear, thermal deformation, etc.) are analyzed, and according to the type and source of error, appropriate compensation methods are selected, such as geometric compensation, posture compensation, dynamic compensation, etc. Geometric compensation is used to adjust the position compensation value of the tool in the X, Y, and Z axis directions to correct the deviation; posture compensation is used to adjust the angle of the rotating axis (A / B axis) to optimize the contact state between the tool and the workpiece; dynamic compensation is used to control the motion parameters of the axis (such as speed, acceleration) in real time to reduce machining vibration and trajectory deviation.

[0034] Combine the error collection results with the inter-axis coordination results to identify the error patterns and trends, and perform statistical analysis based on the error trends. Use CAD / CAM software to optimize the compensation path of the tool trajectory according to the compensation method, calculate the compensation value through theoretical values ​​and actual values, and adjust the processing parameters according to the compensation value. Input the adjusted processing parameters into the control system to ensure that the control system adjusts the movement of each axis according to the compensation data. Continue to collect error data during the compensation process and further optimize it in combination with closed-loop control. Dynamically adjust the compensation value during the processing process to avoid new errors caused by environmental changes (such as thermal deformation). Collect the workpiece error data again after processing to verify whether the compensation effect meets the standard. At the same time, monitor the actual position and compensation effect of each axis in real time during the processing process, and dynamically adjust the compensation parameters according to the real-time monitoring results to adapt to changes in the processing process.

[0035] Multi-axis linkage compensation refers to the use of error collection results and inter-axis collaborative analysis to adjust the path of the moving axis, compensate the tool and optimize the processing parameters, generate compensation values ​​to eliminate errors and achieve precise processing. Processing control refers to the real-time control of machine tool motion parameters (such as position, speed, posture) and processing strategies (such as cutting depth and feed rate) in combination with compensation data to ensure that the final processing results meet the design goals. Through multi-axis linkage compensation, the processing accuracy of complex parts can be significantly improved, and machine tool vibration and processing instability caused by errors can be reduced.

[0036] Furthermore, step 2 of this application includes: Extract key features based on the solution analysis results, the key features include processing path, feature processing requirements, and error distribution; perform inter-axis coordination analysis based on the key features and establish inter-axis association; perform error adjustment based on the error distribution, and take the feature processing requirements as the processing target, perform error coupling fitting based on the inter-axis association, and establish fitting results; generate inter-axis coordination based on the fitting results.

[0037] Specifically, according to the results of the solution analysis, key features are extracted, including processing paths (the movement trajectory of the tool during the processing), feature processing requirements (processing requirements of parts, such as specific dimensions, surface finish, shape accuracy, etc.), and error distribution (such as dimensional error, shape error, etc.). The processing path extracts the tool motion path through software and analyzes whether it meets the design requirements of the product, whether there are unnecessary idling paths or processing trajectories that do not meet the accuracy requirements; the feature processing requirements extract the features of the parts from the CAD model, such as the diameter of the hole, surface roughness, angle, etc., and convert the requirements into processing parameters as processing targets; the error distribution obtains error distribution data on different axes through path simulation and machine tool status monitoring, which is usually detected and recorded by sensors and measuring instruments (such as laser interferometers, displacement sensors, etc.).

[0038] In multi-axis linkage machining, inter-axis coordination refers to the coordinated work between various machining axes (such as X-axis, Y-axis, Z-axis and rotation axis, etc.). The movement of each axis needs to be coordinated with the movement of other axes to ensure machining accuracy and stability. By analyzing the interaction between different axes, an inter-axis correlation model is established to accurately describe the movement relationship and dependency between different axes, including how they affect each other and how they work together.

[0039] According to the error analysis, necessary adjustments are made to the multi-axis linkage processing scheme, that is, the errors in different parts of the processing process are predicted and compensated, and dynamic corrections are made based on historical data and real-time monitoring data to ensure the accuracy requirements of the product. Taking the feature processing requirements as the processing target, the most critical feature processing requirements of the parts in the processing process are clarified, and error coupling fitting is performed. Taking multiple error sources into consideration, the error relationship between the axes is mathematically modeled through the least squares method, Kalman filtering and other methods, and how each error source is coupled and transmitted to each other during the processing process is calculated. In multi-axis linkage processing, the errors between different axes may affect each other. The purpose of error coupling fitting is to make the processing process more accurate by modeling and optimizing these errors. For example, the error coupling relationship between the X-axis and the Z-axis leads to the dimensional deviation of the processed parts, and the error of the X-axis is compensated by adjusting the control parameters of the Z-axis.

[0040] The model results obtained by error coupling fitting are used to optimize machining control. By analyzing the fitting results, the compensation parameters of each axis motion are obtained, and the machining control is adjusted in real time according to the compensation values. The error coupling fitting results are used to generate inter-axis coordination, adjust the motion of each axis to make it more coordinated, and reduce error propagation. This is usually achieved by adjusting the motion instructions in the CNC system. For example, suppose that when machining a precision part, it is found that the error of the X-axis causes the machining dimension deviation of the Z-axis in the vertical direction. According to the fitting results, the feed rate and acceleration of the Z-axis are adjusted to compensate for the error of the X-axis. If the error of the X-axis causes the Z-axis to machine too deep in a certain area, the feed rate or acceleration of the Z-axis is appropriately reduced to compensate for the error of the X-axis and ensure the accuracy of the machining dimension. Through detailed analysis and error analysis of the multi-axis linkage machining scheme, error propagation can be significantly reduced, ensuring that each machining step can be accurately executed, thereby improving the accuracy of the final product. By analyzing the coupling relationship of the inter-axis errors, the motion between the axes can be effectively coordinated, the error transmission can be reduced, and the stability of the multi-axis linkage system can be ensured.

[0041] Further, step three of this application includes: Obtain batch tool usage records of machining tools, perform steady-state analysis of the tools based on the batch tool usage records, and establish a stable holding coefficient; perform usage proofing of the machining tools for the multi-axis linkage machining plan, and establish a proofing test data set; aggregate wear data based on the proofing test data set, and establish a calibrated wear range; use the stable holding coefficient to perform balanced wear analysis of the calibrated wear range, and establish a tool balanced wear result.

[0042] Specifically, the batch usage records of the tool are obtained, including information such as the tool usage time, processing materials, processing types, working conditions, etc. The batch tool usage record refers to a detailed record of the tool usage during the batch production process, including information such as the tool usage time, the type of workpiece processed, the tool's working environment, wear, cutting conditions, usage frequency, and replacement time. Based on the batch tool usage records, the performance stability of the tool during batch processing is analyzed to evaluate its stability and reliability. The analysis of tool wear and usage is performed by analyzing the tool usage records using data analysis or statistical software, analyzing the wear of the tool after long-term use, and determining whether it is stable or further aggravated.

[0043] Through steady-state analysis, the tool's stability retention coefficient is established, which describes the tool's ability to maintain stable working conditions, that is, the tool's ability to maintain good cutting performance during use. If the tool's cutting force remains unchanged in a stable state and the surface wear does not increase significantly, its stability retention coefficient is high; if the cutting force increases significantly after a certain period of use, the stability retention coefficient is low. Proofing the use of machining tools for multi-axis linkage machining solutions is the process of testing and verifying the tool before actual machining. The proofing test uses the tool in an actual or simulated machining environment, collects its performance data under specific machining conditions, and tests the tool's wear, cutting force, temperature and other data. The proofing test data set is a collection of data collected during the use of the machining tool proofing process, including parameters such as cutting force, temperature, and degree of wear.

[0044] The wear data collected during the use and proofing of the machining tool are collated and analyzed, the trend of tool wear is analyzed, and the calibrated wear range of the tool is defined according to the degree of wear. The calibrated wear range is based on a large amount of usage data and experimental results. Through accurate calculation of tool wear, a safe range of wear is determined to help determine the best time to replace the tool, thereby ensuring machining quality and efficiency. In other words, within this range, the wear of the tool is acceptable. Beyond this range, the performance of the tool may decline, affecting the machining quality.

[0045] Using the stable retention coefficient and the calibrated wear range, balanced wear analysis of the tool is performed to evaluate whether the tool wears evenly during use, and to find optimization methods to improve tool life and performance. Balanced wear analysis can help confirm whether there is a part of the tool that wears faster during use, such as the cutting edge of the tool wears too quickly while the back wears less, affecting the overall performance of the tool. Ensure that the tool can maintain stable processing performance throughout the wear cycle, thereby improving processing quality and efficiency. Establishing tool balanced wear results is a quantitative assessment of the performance stability of the tool throughout the wear cycle, which helps optimize the use and maintenance strategy of the tool. Based on the results of balanced wear analysis, the tool balanced wear results are generated, which describe in detail the wear of each part of the tool during the entire use process, and whether the wear is uniform. If the wear is uneven, the tool design, cutting parameters or usage methods need to be optimized to increase its service life.

[0046] The tool balanced wear result is the final result of the balanced wear analysis, which shows the wear of the tool during the processing, especially whether the wear in different areas is uniform. According to the tool balanced wear result, the tool usage parameters can be optimized to achieve better performance and longer service life. Through steady-state analysis and balanced wear analysis, the tool life can be accurately predicted, the tool replacement timing can be optimized, and the tool replacement can be avoided too early or too late, reducing unnecessary downtime and tool waste. By establishing a stable retention coefficient and calibrating the wear range, tool wear problems can be identified and solved in advance to avoid reduced processing accuracy or tool failure due to excessive wear.

[0047] Furthermore, the present application also includes the following steps: Establish a collection zero point for the machining tool, which is the verification time point of the previous stage of the machining tool; perform time accumulation analysis based on the collection zero point and establish a first verification influence factor; identify the error influence of the machining tool based on the error collection result and establish a second verification influence factor; locate the collection node through the first verification influence factor and the second verification influence factor, and perform tool self-inspection management based on the collection node.

[0048] Specifically, determine the collection zero point of the tool, which is the starting time point for recording the tool status and performance during the machining process. The collection zero point is usually the verification time point of the previous stage of tool verification, that is, the moment when the tool is last verified before starting the current machining task, usually after the tool is replaced, reground or performance tested, as a reference point for subsequent monitoring and analysis. Perform time accumulation analysis based on the collection zero point. Starting from the collection zero point, the tool usage time is accumulated, and the impact on tool performance over time is analyzed. The first verification influencing factor is to evaluate the tool stability or performance changes during this period through cumulative analysis of the tool's operating data within a certain period of time, reflecting the tool wear within a certain period of time or its impact on machining quality.

[0049] According to the error collection results obtained by performing error collection on the workpiece after each machining axis is completed, the impact of tool error on machining quality is analyzed, and the dimensional error, shape error or surface roughness data that may occur during tool machining are measured to identify the impact of factors such as tool wear and deformation on machining quality. Through the tool influencing factors identified by error collection, the second verification influencing factor is established, the specific impact of tool wear or other factors on machining accuracy is quantified, and the adjustment value required for tool compensation is provided. The relationship between error data and tool performance changes determines whether the tool needs to be adjusted or replaced.

[0050] According to the first verification influencing factor and the second verification influencing factor, determine the best acquisition node, that is, the specific time point for monitoring and evaluating tool performance. Before the tool performance begins to decline, the tool status change is captured in time. Use the visual CCD to collect images of the processing tool at the acquisition node and establish a node image. Call the image of the processing tool at the acquisition zero point, compare the node image and the zero point image at the same position, and obtain the changes in the processing tool at different time nodes at the same position. Determine whether there are abnormal phenomena such as cracks and chipping, whether the wear of the tool cutting edge exceeds the tolerance range, whether there are irregular attachments or scratches on the tool surface, etc., locate the potential problems of the tool and quantify their severity.

[0051] According to the severity of the tool problem, corresponding tool self-inspection management is carried out. If the wear is small or there is no abnormality, the tool can be appropriately compensated. If the wear or crack exceeds the set threshold, it will prompt that the tool needs to be compensated, corrected or replaced. By setting the acquisition zero point and key acquisition nodes, the performance changes of the tool can be effectively monitored. Time accumulation analysis and error acquisition can accurately identify the impact of tool wear, help formulate reasonable compensation measures or replacement cycles, and promptly discover processing errors and tool problems, and make adjustments to ensure processing accuracy and product quality.

[0052] Furthermore, the present application also includes the following steps: After flushing the machining tool with cutting fluid, call the visual CCD to collect images of the machining tool and establish a node image; call the zero-point image of the acquisition zero point, perform same-position image comparison based on the zero-point image call result and the node image, and establish the same-position image comparison result; perform focus identification based on the same-position image comparison result, and complete the machining tool self-inspection management with the focus identification result.

[0053] Specifically, the cutting fluid is used to fully rinse the tool to remove chips, oil stains and coolant residues attached to the surface, ensuring that the tool surface is clean, thereby obtaining high-quality image data. The visual CCD (charge-coupled device) is called to capture images of the processing tool. The visual CCD refers to the charge-coupled device camera, a high-precision image sensor commonly used in industrial visual inspection, which can capture high-definition images and digitize them. The image acquisition of the tool through the CCD camera can clearly record the details of the tool surface for analysis of wear, cracks or defects. Ensure that the relative position of the CCD camera and the tool is consistent for effective image comparison. Establish a node image, that is, capture the image of the tool at each acquisition node, which reflects the current status of the tool, including the degree of wear, blade shape, surface defects, etc.

[0054] The zero-point image of the acquisition zero point is called, and the image of the tool at the acquisition zero point is called, that is, the image of the processing tool in the initial state or the verification time point of the previous stage. The zero-point image call is to provide a benchmark for comparison with the node image at the acquisition node. Using image comparison algorithms (such as edge detection, feature extraction, etc.), the zero-point image obtained by the call is compared with the node image, focusing on analyzing the changes in the same position of the tool at different time points, such as the cutting edge, cutting surface, etc. Determine the image comparison results at the same position, and record the results obtained after comparing the zero-point image and the node image at the same position, including any wear, damage or other changes of the tool, which is used to analyze the wear and damage of the tool at the same position after a period of time. The image comparison results at the same position include whether there are abnormal phenomena such as cracks and chipping, whether the wear of the tool cutting edge exceeds the tolerance range, whether there are irregular attachments or scratches on the tool surface, etc., to locate potential problems of the tool and quantify their severity.

[0055] Analyze the image comparison results at the same position and identify the key areas of tool wear and damage so that they can be focused on, determine the extent of tool wear and damage, and whether the tool needs to be replaced or maintained immediately. Establish an abnormality discrimination threshold for machining tools. If the focus recognition result triggers the abnormality discrimination threshold, the wear or damage of the tool exceeds the preset critical value, and the machining tool abnormality is reported, indicating the need for tool compensation, trimming or replacement. If the focus recognition result does not trigger the abnormality discrimination threshold, that is, the wear or damage of the tool is still within the normal range, but there is a certain amount of wear or error, then establish machining tool compensation and compensate the tool appropriately. Depending on whether the abnormality discrimination threshold is triggered, generate machining tool abnormality or machining tool compensation, and perform machining tool self-inspection management.

[0056] According to the attention recognition results, the tool self-check management is automatically performed to evaluate whether the tool is in normal working condition and whether it needs to be replaced or the processing parameters need to be adjusted. Through the visual CCD to collect images and perform the same-position comparison, the tool wear or abnormal changes can be analyzed intuitively and quantitatively. The comparison of the node image and the zero-point image can accurately determine whether the tool can continue to be used, reduce the waste caused by premature tool replacement, and avoid the processing accuracy problems caused by delayed tool replacement. Through attention recognition and self-check management, compensation or replacement measures can be taken in time before the abnormal state of the tool affects the processing to ensure stable processing quality.

[0057] Furthermore, the present application also includes the following steps: Establish an abnormality discrimination threshold for the machining tool; if the attention recognition result triggers the abnormality discrimination threshold, report the machining tool abnormality, and manage the machining tool based on the machining tool abnormality; if the attention recognition result does not trigger the abnormality discrimination threshold, establish machining tool compensation based on the attention recognition result, and manage the machining tool based on the machining tool compensation.

[0058] Specifically, according to the design specifications, usage scenarios and processing requirements of the tool, the abnormality discrimination threshold of the processing tool is established, that is, the preset parameters or indicators, including the wear amount, crack length, cutting edge notch size and other values, are used to judge whether the processing tool state is abnormal. For example, the impact of wear exceeding a certain value (such as 0.4mm) on the processing quality; the crack length exceeding a certain value (such as 0.2mm) causes the tool to break or the processing surface to be uneven; if the depth of the cutting edge notch of the tool exceeds 0.1mm, the surface roughness of the workpiece will not meet the standard.

[0059] If the attention recognition result triggers the abnormality discrimination threshold, that is, the wear or damage of the tool exceeds the preset critical value, the processing tool abnormality is reported. Automatically issue an alarm to notify the operator or maintenance personnel and record the abnormal information, including time, tool number, abnormality type, etc. Perform processing tool management according to the processing tool abnormality, that is, take corresponding management measures, such as suspending processing, replacing tools, or adjusting processing parameters. If the attention recognition result does not trigger the abnormality discrimination threshold, that is, the wear or damage of the tool is still within the normal range, but there is a certain amount of wear or error, the tool is appropriately compensated according to the attention recognition result. According to the recognition result, the wear or error of the tool is calculated, and the processing tool compensation is established, such as adjusting the tool position or processing parameters (such as feed rate, cutting depth, etc.) to compensate for slight wear or changes in the tool, thereby maintaining processing quality and efficiency. Monitor the compensation effect in real time to ensure processing quality.

[0060] Regardless of whether the abnormality discrimination threshold is triggered, the current status of the tool must be recorded to update the tool management information, and the tool management is performed based on tool abnormality and tool compensation to ensure that the tool works in the best condition, extend tool life, reduce downtime, and improve production efficiency. Through the precise management of tool abnormalities, ensure that the machining accuracy and surface quality always meet the requirements, use compensation strategies to optimize tool use, delay replacement cycles, and reduce tool consumption costs.

[0061] Furthermore, the present application also includes the following steps: Record the processing compensation of batch processing and build an exception database based on the processing compensation; conduct a weakness analysis of the multi-axis linkage processing solution based on the exception database, establish a processing solution to build compensation, and use the processing solution to build compensation for subsequent batch processing.

[0062] Specifically, in batch processing, the processing compensation data of each workpiece is recorded in real time, including the compensation amount, compensation timing and compensation effect of each axis. Processing compensation refers to the adjustment of the tool path, axis motion parameters or processing settings to correct processing errors during the processing. Cluster analysis is performed on the compensation values ​​that appear multiple times during processing to screen abnormal compensation values ​​and their frequency of occurrence. The number of compensations exceeding the normal range indicates that the corresponding compensation frequency is abnormal. Based on the processing compensation data, an abnormality database is constructed, including the error source, frequency distribution, compensation strategy, compensation effect, etc., which is used to store and analyze abnormal situations during the processing process.

[0063] Extract the distribution pattern and corresponding process of abnormal compensation values ​​from the abnormal database, and analyze the common problems in the processing scheme. Count the frequency of each abnormality, and analyze the root cause of abnormal compensation (such as tool wear and thermal deformation of machine tools) in combination with process parameters. Optimize the processing path or improve the tool parameters for frequently occurring abnormal compensation. Improve the accuracy of tool posture adjustment for weak links, such as complex surface processing. Scheme weakness analysis refers to identifying problems and weak links in the processing scheme through in-depth analysis of data in the abnormal database.

[0064] Using the results of abnormal data analysis, compensation strategies are formulated for weak links, including path compensation (re-optimization of tool paths), dynamic compensation (real-time adjustment of dynamic errors), local optimization (local compensation for abnormal frequent processes), etc. The optimized compensation strategy is applied to subsequent batch production, that is, the established compensation is applied to the actual batch processing process to improve the processing quality, efficiency and reliability. In subsequent batch processing, the compensation effect is monitored in real time and dynamically adjusted according to the actual situation. According to the results of subsequent processing, the abnormal database and compensation strategy are continuously updated to achieve continuous improvement of the processing process. By identifying and compensating weak links, abnormal situations in the processing process are reduced and processing stability is improved.

[0065] In summary, the batch processing method with multi-axis linkage precision parts provided by the present application has the following technical effects: By acquiring information about products to be processed, which includes information about raw materials and finished products, multi-axis linkage process fitting is performed based on the information about products to be processed, and a multi-axis linkage processing plan is established; the multi-axis linkage processing plan is analyzed, and inter-axis coordination is established based on the results of the solution analysis; wear analysis of machining tools is performed based on the multi-axis linkage processing plan, and a tool balanced wear result is established, and calibrated tool compensation of the multi-axis linkage processing plan is configured with the tool balanced wear result; when batch processing is performed, processing control is performed based on the multi-axis linkage processing plan and calibrated tool compensation, and workpiece error collection is performed after each processing axis is completed, and an error collection result is established; multi-axis linkage compensation is generated based on inter-axis coordination and error collection results, and processing control is performed based on the multi-axis linkage compensation. In other words, by performing multi-axis linkage process fitting on the product to be processed, identifying and optimizing the collaboration between different axes, real-time monitoring and analysis of tool wear, and collecting workpiece errors after each processing axis is completed, corresponding compensation measures can be generated based on the error size, type and coordination between axes. High precision and high consistency can be maintained in batch processing, avoiding the accumulation of errors and the decline in processing accuracy, ensuring that the accuracy of each batch of products remains consistent, thereby improving the product quality and production efficiency of batch processing.

[0066] Embodiment 2, based on the same inventive concept as the batch processing method of multi-axis linkage precision parts in the aforementioned embodiment 1, the present application also provides a batch processing system of multi-axis linkage precision parts, please refer to the attached Figure 2 , the batch processing system with multi-axis linkage precision parts includes: The product information acquisition module 11 is used to acquire information about the product to be processed, including raw material information and finished product information, and to perform multi-axis linkage process fitting based on the product information to be processed to establish a multi-axis linkage processing plan.

[0067] The solution analysis module 12 is used to analyze the multi-axis linkage processing solution and establish inter-axis coordination based on the solution analysis result.

[0068] The wear analysis module 13 is used to perform wear analysis of machining tools based on the multi-axis linkage machining scheme, establish tool balance wear results, and configure calibrated tool compensation of the multi-axis linkage machining scheme based on the tool balance wear results.

[0069] The error collection module 14 is used to perform processing control based on the multi-axis linkage processing plan and calibrated tool compensation when performing batch processing, and to perform error collection of the workpiece after each processing axis is completed, and to establish error collection results.

[0070] The compensation processing module 15 is used to generate multi-axis linkage compensation based on the inter-axis coordination and error collection results, and perform processing control based on the multi-axis linkage compensation.

[0071] Furthermore, the solution analysis module 12 in the batch processing system with multi-axis linkage precision parts is also used for: Extract key features based on the solution analysis results, the key features include processing path, feature processing requirements, and error distribution; perform inter-axis coordination analysis based on the key features and establish inter-axis association; perform error adjustment based on the error distribution, and take the feature processing requirements as the processing target, perform error coupling fitting based on the inter-axis association, and establish fitting results; generate inter-axis coordination based on the fitting results.

[0072] Furthermore, the wear analysis module 13 in the batch processing system with multi-axis linkage precision parts is also used for: Obtain batch tool usage records of machining tools, perform steady-state analysis of the tools based on the batch tool usage records, and establish a stable holding coefficient; perform usage proofing of the machining tools for the multi-axis linkage machining plan, and establish a proofing test data set; aggregate wear data based on the proofing test data set, and establish a calibrated wear range; use the stable holding coefficient to perform balanced wear analysis of the calibrated wear range, and establish a tool balanced wear result.

[0073] Furthermore, the batch processing system with multi-axis linkage precision parts also includes a tool self-checking module, and the tool self-checking module is also used for: Establish a collection zero point for the machining tool, which is the verification time point of the previous stage of the machining tool; perform time accumulation analysis based on the collection zero point and establish a first verification influence factor; identify the error influence of the machining tool based on the error collection result and establish a second verification influence factor; locate the collection node through the first verification influence factor and the second verification influence factor, and perform tool self-inspection management based on the collection node.

[0074] Furthermore, the batch processing system with multi-axis linkage precision parts also includes a tool self-checking module, and the tool self-checking module is also used for: After flushing the machining tool with cutting fluid, call the visual CCD to collect images of the machining tool and establish a node image; call the zero-point image of the acquisition zero point, perform same-position image comparison based on the zero-point image call result and the node image, and establish the same-position image comparison result; perform focus identification based on the same-position image comparison result, and complete the machining tool self-inspection management with the focus identification result.

[0075] Furthermore, the batch processing system with multi-axis linkage precision parts also includes a tool self-checking module, and the tool self-checking module is also used for: Establish an abnormality discrimination threshold for the machining tool; if the attention recognition result triggers the abnormality discrimination threshold, report the machining tool abnormality, and manage the machining tool based on the machining tool abnormality; if the attention recognition result does not trigger the abnormality discrimination threshold, establish machining tool compensation based on the attention recognition result, and manage the machining tool based on the machining tool compensation.

[0076] Furthermore, the batch processing system with multi-axis linkage precision parts also includes a weakness compensation module, and the weakness compensation module is also used for: Record the processing compensation of batch processing and build an exception database based on the processing compensation; conduct a weakness analysis of the multi-axis linkage processing solution based on the exception database, establish a processing solution to build compensation, and use the processing solution to build compensation for subsequent batch processing.

[0077] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The batch processing method and specific examples of multi-axis linkage precision parts in the first embodiment are also applicable to the batch processing system of multi-axis linkage precision parts in the present embodiment. Through the above detailed description of the batch processing method of multi-axis linkage precision parts, those skilled in the art can clearly know the batch processing system of multi-axis linkage precision parts in the present embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0078] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0079] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A batch processing method for multi-axis linkage precision parts, characterized in that: include: Acquire information about the product to be processed, the information about the product to be processed includes information about raw materials and finished products, perform multi-axis linkage process fitting based on the information about the product to be processed, and establish a multi-axis linkage processing plan; Analyze the multi-axis linkage processing solution, and establish inter-axis coordination based on the solution analysis result; Performing wear analysis on machining tools based on the multi-axis linkage machining scheme, establishing tool balance wear results, and configuring calibrated tool compensation for the multi-axis linkage machining scheme based on the tool balance wear results; When batch processing is performed, processing control is performed based on the multi-axis linkage processing plan and calibrated tool compensation, and the error collection of the workpiece is performed after each processing axis is completed, and the error collection results are established; Multi-axis linkage compensation is generated based on the inter-axis coordination and error acquisition results, and machining control is performed based on the multi-axis linkage compensation.

2. The batch processing method of multi-axis linkage precision parts according to claim 1, characterized in that: The establishing of inter-axis coordination based on the solution analysis result also includes: Extract key features based on the solution analysis results, wherein the key features include processing paths, feature processing requirements, and error distribution; Conduct inter-axis synergy analysis based on key features and establish inter-axis associations; Based on the error distribution, error adjustment is performed, and the characteristic processing requirements are used as the processing target. Error coupling fitting based on the correlation between axes is performed to establish the fitting results. The inter-axis coordination is generated according to the fitting result.

3. The batch processing method of multi-axis linkage precision parts according to claim 1, characterized in that: The wear analysis of the machining tool based on the multi-axis linkage machining scheme and establishing the tool balanced wear result also includes: Obtaining batch tool usage records of machining tools, performing steady-state analysis of the tools based on the batch tool usage records, and establishing a stable retention coefficient; Proofing the use of machining tools for the multi-axis linkage machining solution and establishing a proofing test data set; Aggregate wear data based on the proofing test data set and establish a calibration wear range; The stable retention coefficient is used to perform balanced wear analysis in the calibrated wear range to establish a tool balanced wear result.

4. The batch processing method of multi-axis linkage precision parts according to claim 1, characterized in that: Also includes: Establishing a collection zero point for a machining tool, wherein the collection zero point is a verification time point of the machining tool in the previous stage; Performing time accumulation analysis based on the acquisition zero point to establish a first verification influencing factor; Based on the error collection results, the error influence of the machining tool is identified and the second verification influence factor is established; The collection node is located by using the first verification influencing factor and the second verification influencing factor, and tool self-inspection management is performed based on the collection node.

5. The batch processing method of multi-axis linkage precision parts according to claim 4, characterized in that: The tool self-check management based on the acquisition node also includes: After flushing the machining tool with cutting fluid, the visual CCD is called to collect images of the machining tool and establish a node image; Call the zero-point image for the acquisition zero point, compare the same-position image based on the zero-point image call result and the node image, and establish the same-position image comparison result; Focus identification is performed based on the image comparison results at the same position, and the self-inspection management of the processing tool is completed based on the focus identification results.

6. The batch processing method of multi-axis linkage precision parts according to claim 5, characterized in that: The tool self-check management by focusing on the recognition result also includes: Establish abnormality discrimination thresholds for machining tools; If the recognition result triggers the abnormality discrimination threshold, the machining tool abnormality is reported, and the machining tool management is performed based on the machining tool abnormality; If the focus recognition result does not trigger the abnormality discrimination threshold, a machining tool compensation is established based on the focus recognition result, and machining tool management is performed according to the machining tool compensation.

7. The batch processing method of multi-axis linkage precision parts according to claim 1, characterized in that: Also includes: Record the processing compensation of batch processing and build an abnormality database based on the processing compensation; Based on the abnormal database, the weakness analysis of the multi-axis linkage machining plan is carried out, and the machining plan construction compensation is established. The machining plan construction compensation is used for subsequent batch machining.

8. A batch processing system with multi-axis linkage precision parts, characterized in that: The steps for implementing the batch processing method of multi-axis linkage precision parts according to any one of claims 1 to 7, the batch processing system of multi-axis linkage precision parts comprises: A product information acquisition module, which is used to acquire information about the product to be processed, including raw material information and finished product information, and to perform multi-axis linkage process fitting based on the product information to be processed to establish a multi-axis linkage processing plan; A solution analysis module, the solution analysis module is used to analyze the multi-axis linkage processing solution and establish inter-axis coordination based on the solution analysis result; A wear analysis module, the wear analysis module is used to perform wear analysis of machining tools based on the multi-axis linkage machining scheme, establish tool balance wear results, and configure calibrated tool compensation of the multi-axis linkage machining scheme based on the tool balance wear results; An error collection module, which is used to perform processing control based on a multi-axis linkage processing scheme and calibrated tool compensation when performing batch processing, and to perform error collection of the workpiece after each processing axis is completed, and to establish an error collection result; A compensation processing module is used to generate multi-axis linkage compensation based on inter-axis coordination and error collection results, and perform processing control based on the multi-axis linkage compensation.

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