Batch processing method and system for multi-axis linkage precision components

Abstract

The present application provides a batch processing method and system for multi-axis linkage precision components, relating to the technical field of component processing, including: obtaining information of products to be processed and performing process fitting of multi-axis linkage; analyzing the multi-axis linkage processing scheme to establish inter-axis coordination; performing wear analysis of machining tools and configuring and calibrating tool compensation; when performing batch processing, performing machining control based on the multi-axis linkage processing scheme and the calibrated tool compensation, and performing error collection after each machining axis is completed; generating multi-axis linkage compensation based on inter-axis coordination and error collection results, and performing machining control based on the multi-axis linkage compensation. Through the present application, the technical problem in the prior art that the machining accuracy is reduced due to error accumulation in the batch processing process, affecting the product quality, can be solved. By establishing multi-axis linkage compensation and the result of balanced tool wear, the accumulation of machining errors is reduced, and the product quality of batch processing is improved.

Description

Technical Field

[0001] This application relates to the technical field of component processing, and particularly to a batch processing method and system for multi-axis linkage precision components. Background Art

[0002] Multi-axis linkage precision components are widely used in high-end manufacturing fields such as aerospace, automotive manufacturing, electronic equipment, and mold manufacturing. They usually have complex geometric shapes and high-precision requirements, involving multiple machining directions and dimensions. Therefore, their machining process requires extremely high precision. The multi-axis linkage machining technology can achieve efficient machining of complex geometric shapes by coordinating the work of multiple moving axes. It includes numerically controlled machine tools with three axes, five axes, or even more axes. By simultaneously controlling the movement of multiple axes, it can complete more complex machining tasks within one machining cycle, reduce the number of workpiece clamping times, improve machining efficiency, shorten the production cycle, and can achieve high-precision cutting machining. In the production of multi-axis linkage precision components, batch processing is a common manufacturing method, usually requiring efficient and stable production of a large number of identical or similar components. However, as the machining process progresses, tiny errors (such as tool wear, inter-axis coordination errors, and machine tool thermal deformation) will gradually accumulate in each machining cycle, resulting in a gradual decrease in the machining accuracy of each subsequent workpiece, and 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, there is a technical problem in the prior art that due to the complexity of multi-axis linkage machining during the batch processing process, tiny errors will continuously accumulate, resulting in a decrease in the machining accuracy of components, further affecting product quality and machining efficiency. Summary of the Invention

[0004] The purpose of this application is to provide a batch processing method and system for multi-axis linkage precision components to solve the technical problem in the prior art that due to the complexity of multi-axis linkage machining during the batch processing process, tiny errors will continuously accumulate, resulting in a decrease in the machining accuracy of components, further affecting product quality and machining efficiency.

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

[0006] In a first aspect, the present application provides a batch processing method for multi-axis linkage precision components. The batch processing method for multi-axis linkage precision components is implemented through a batch processing system for multi-axis linkage precision components. Among them, the batch processing method for multi-axis linkage precision components includes: obtaining information of products to be processed, where the information of products to be processed includes raw material information of products and finished product information of 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 plan analysis on the multi-axis linkage processing plan, and establishing inter-axis coordination based on the plan analysis result; performing wear analysis of machining tools based on the multi-axis linkage processing plan, establishing a result of balanced tool wear, and configuring calibrated tool compensation for the multi-axis linkage processing plan with the result of balanced tool wear; when performing batch processing, performing machining control based on the multi-axis linkage processing plan and the calibrated tool compensation, and performing error collection of workpieces after each machining axis is completed, and establishing an error collection result; generating multi-axis linkage compensation based on inter-axis coordination and the error collection result, and performing machining control based on the multi-axis linkage compensation.

[0007] In a second aspect, the present application further provides a batch processing system for multi-axis linkage precision components, which is used to execute the batch processing method for multi-axis linkage precision components as described in the first aspect. Among them, the batch processing system for multi-axis linkage precision components includes: a product information acquisition module, which is used to obtain information of products to be processed, where the information of products to be processed includes raw material information of products and finished product information of 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; a plan analysis module, which is used to perform plan analysis on the multi-axis linkage processing plan, and establish inter-axis coordination based on the plan analysis result; a wear analysis module, which is used to perform wear analysis of machining tools based on the multi-axis linkage processing plan, establish a result of balanced tool wear, and configure calibrated tool compensation for the multi-axis linkage processing plan with the result of balanced tool wear; an error collection module, which is used to perform machining control based on the multi-axis linkage processing plan and the calibrated tool compensation when performing batch processing, and perform error collection of workpieces after each machining axis is completed, and establish an error collection result; a compensation machining module, which is used to generate multi-axis linkage compensation based on inter-axis coordination and the error collection result, and perform machining control based on the multi-axis linkage compensation.

[0008] One or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0009] By obtaining the information of the product to be processed, where the information of the product to be processed includes the information of the raw materials of the product and the information of the finished product of the product, a multi-axis linkage process fitting is performed based on the information of the product to be processed to establish a multi-axis linkage machining plan; the multi-axis linkage machining plan is analyzed, and an inter-axis coordination is established based on the result of the plan analysis; based on the multi-axis linkage machining plan, the wear analysis of the machining tool is carried out to establish the result of balanced tool wear, and the calibrated tool compensation of the multi-axis linkage machining plan is configured with the result of balanced tool wear; when batch machining is executed, the machining control is carried out based on the multi-axis linkage machining plan and the calibrated tool compensation, and the error collection of the workpiece is executed after each machining axis is completed to establish the result of error collection; a multi-axis linkage compensation is generated based on the inter-axis coordination and the result of error collection, and the machining control is carried out based on the multi-axis linkage compensation. That is to say, by performing a multi-axis linkage process fitting on the product to be processed, identifying and optimizing the cooperation between different axes, monitoring and analyzing the tool wear in real time, and collecting the errors of the workpiece after each machining axis is completed, corresponding compensation measures can be generated according to the size, type of the errors and the situation of inter-axis coordination, maintaining high precision and high consistency in batch machining, avoiding the accumulation of errors and the decline of machining accuracy, ensuring that the product accuracy of each batch always remains consistent, thereby improving the product quality and production efficiency of batch machining.

[0010] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the specific embodiments of the present application are specifically exemplified below. It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easy to understand through the following description of the specification. Brief Description of the Drawings

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings described below are only exemplary, and for those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0012] Figure 1 It is a schematic flow chart of the batch machining method for multi-axis linkage precision parts of the present application.

[0013] Figure 2 It is a schematic structural diagram of the batch machining system for multi-axis linkage precision parts of the present application.

[0014] Description of reference numerals: Product information acquisition module 11, solution analysis module 12, wear analysis module 13, error acquisition module 14, compensation machining module 15. Detailed implementation manners

[0015] By providing a batch machining method and system for multi-axis linkage precision components, the present application solves the technical problem in the prior art that due to the complexity of multi-axis linkage machining in the batch machining process, tiny errors will continuously accumulate, resulting in a decrease in the machining precision of components, and further affecting the product quality and machining efficiency. By performing a process fitting of multi-axis linkage on the product to be machined, identifying and optimizing the cooperation between different axes, and performing real-time monitoring and analysis of tool wear, and collecting the errors of the workpiece after each machining axis is completed, corresponding compensation measures can be generated according to the magnitude, type of errors and the situation of inter-axis cooperation, maintaining high precision and high consistency in batch machining, avoiding the accumulation of errors and the decrease in machining precision, ensuring that the product precision of each batch always remains consistent, thereby improving the product quality and production efficiency of batch machining.

[0016] Next, 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 a part of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application. Additionally, it should 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.

[0017] Embodiment 1. Please refer to the attached Figure 1 , the present application provides a batch machining method for multi-axis linkage precision components. Among them, the batch machining method for multi-axis linkage precision components is applied to a batch machining system for multi-axis linkage precision components. The batch machining method for multi-axis linkage precision components specifically includes the following steps:

[0018] Step 1: Obtain the information of the product to be machined. The information of the product to be machined includes the raw material information of the product and the finished product information of the product. Based on the information of the product to be machined, perform a process fitting of multi-axis linkage to establish a multi-axis linkage machining plan.

[0019] Specifically, obtain the product information to be processed, including the raw material information and the finished product information of the product. The raw material information of the product refers to the characteristics and forms of the raw materials before processing the product, usually including information such as the type, hardness, thickness, density, etc. of the raw materials. The finished product information of the product refers to the final form that the product should achieve after processing, usually including information such as dimensions, shape accuracy, surface finish, structural requirements, etc. For example, if the product to be processed is a component made of aluminum alloy, then the raw material information of the product includes the hardness, density, and thickness of the aluminum alloy; the finished product information of the product includes the dimensions, shape, and surface finish of the component, etc.

[0020] Perform multi-axis linkage process fitting on the product information to be processed. Utilize the obtained raw material information and finished product information of the product, and through computer-aided design (CAD) and computer-aided manufacturing (CAM) software, simulate and optimize the multi-axis linkage machining process. Multi-axis linkage means that during the machining process, the numerically controlled machine tool operates simultaneously or coordinately through multiple axes to complete complex machining tasks, including three-axis and five-axis machine tools, etc. The advantage of multi-axis linkage is that it can reduce the number of workpiece clamping times, improve machining efficiency, and can machine complex geometric shapes. Process fitting is to reasonably adjust each step in the machining process according to the information of the product to be processed to adapt to specific machining requirements, including the calculation and optimization of machining paths, speeds, feed rates, cutting conditions, etc., to ensure the stability and accuracy of machining.

[0021] Combine the raw material information and finished product information of the product through process fitting to establish a process plan suitable for multi-axis linkage machine tool machining. Combine the finished product requirements of the product to be processed to determine the motion trajectory, cutting parameters, tool selection, etc. of the numerically controlled machine tool. The multi-axis linkage machining plan includes how to use the multi-axis linkage machine tool for machining and how to set machining parameters (such as cutting rate, tool path, etc.) to achieve the best machining effect. Due to the optimization of process fitting and multi-axis linkage machining plan, the machining time caused by frequent workpiece clamping and unreasonable tool paths in traditional machining methods is reduced, which can not only improve machining efficiency and accuracy, but also reduce errors and waste in the production process and optimize production costs.

[0022] Step 2: Analyze the multi-axis linkage machining plan, and establish inter-axis coordination based on the results of the plan analysis.

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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.

[0027] Specifically, the multi-axis linkage machining solution refers to a solution that utilizes multiple axes to work together simultaneously during multi-axis CNC machining to complete complex machining tasks, including parameters such as cutting paths, tool selection, feed rates, cutting depths, etc., and how to perform coordinated control between different axes. Based on the cutting parameters, machining conditions, etc. in the multi-axis linkage machining solution, combined with the actual usage data of the tool, tool wear analysis is carried out. Wear analysis refers to monitoring and analyzing the wear situation of the tool during machining, evaluating its wear degree and pattern, including the analysis of parameters such as the cutting force of the tool, surface quality, and tool life.

[0028] Based on the usage records of the tool, perform a steady-state analysis of the tool, establish a stability retention coefficient, evaluate the performance stability of the tool during batch machining, predict the tool life, and determine the optimal timing for tool replacement. Use the tool in an actual or simulated machining environment, collect the wear data of the tool under specific machining conditions, evaluate the applicability of the tool, and optimize the machining solution. Organize and analyze the collected wear data, identify and quantify the wear patterns and degrees of the tool, and establish a calibrated wear interval. The calibrated wear interval is a classification of the tool wear degree, and within the interval is the allowable range of tool wear, determine the optimal timing for tool replacement, so as to ensure machining quality and efficiency.

[0029] Use the stability retention coefficient to perform an equal wear analysis of the calibrated wear interval, that is, the tool maintains a stable and uniform wear pattern throughout its use. Through data analysis tools (such as MATLAB, R software), determine the wear distribution in different regions of the tool, and find possible non-uniform wear phenomena. If the wear is non-uniform, a certain part of the tool may wear too fast, resulting in unnecessary errors and machining quality problems. According to the equal wear result of the tool, compensate the tool in the multi-axis linkage machining solution by adjusting parameters such as the tool path, cutting depth, and feed rate to compensate for the errors caused by tool wear, so as to maintain the dimensional and shape accuracy during machining.

[0030] Calibrated tool compensation refers to compensating for the errors caused by tool wear during machining based on the analysis results of tool wear. Calibrated tool compensation reduces the dimensional and shape deviations caused by tool wear by adjusting the tool path and machining parameters in the machining solution. Once the calibrated tool compensation is configured, apply this compensation during multi-axis linkage machining to ensure machining accuracy. The compensation will adjust the machining parameters and tool path in real time to ensure that the final product can still meet the design requirements during tool wear. During batch production, continuously monitor the tool status and dynamically adjust the feed rate according to the real-time wear situation, so that each machined part meets the specification requirements. Through tool wear analysis and calibrated tool compensation, significantly reduce the machining errors caused by tool wear and ensure the dimensional and shape accuracy of parts during machining.

[0031] Step Four: When performing batch processing, perform machining control based on the multi-axis linkage machining plan and calibrated tool compensation, and perform error collection on the workpiece after each machining axis is completed to establish an error collection result.

[0032] Specifically, during batch processing, machining control is performed according to the multi-axis linkage machining plan and calibrated tool compensation, and real-time management and adjustment are carried out on various machining parameters (such as tool path, feed rate, cutting depth, etc.) to ensure that each step in the machining process can be accurately executed, thereby guaranteeing product quality. The multi-axis linkage machining plan ensures that the tool can perform coordinated cutting in multiple directions to achieve precise machining of complex parts. Calibrated tool compensation helps to compensate for the machining errors caused by tool wear and maintain machining accuracy. Batch processing refers to the process of machining a large number of identical or similar parts at one time during production, requiring the equipment to have efficient and stable production capabilities to ensure machining quality and production efficiency. The multi-axis linkage machining plan refers to the machining of complex parts through the coordinated work of a multi-axis CNC machine tool in multiple axial directions, usually including the linkage of three axes, four axes or more axes, optimizing the tool path and enabling simultaneous cutting in multiple directions. Calibrated tool compensation refers to adjusting the tool trajectory and parameters during machining according to the tool wear condition or geometric shape change to compensate for the machining errors caused by tool wear, which helps to maintain machining accuracy and tool life.

[0033] After each machining axis is completed, it is necessary to perform error collection on the machining result of the workpiece. By using measuring equipment (such as laser instruments, optical scanners, coordinate measuring machines, etc.) to detect the workpiece, error data such as the size, shape, and surface roughness of the workpiece are collected. For example, during batch processing, a coordinate measuring machine is used to detect the machined parts, measure their geometric dimensions and shape errors, and compare with the design requirements to record the error values. By collecting the error data after each machining axis is completed, an error collection result is established, including the machining errors of each machining axis, possible error sources, and their impact on the overall workpiece quality. The error collection result refers to evaluating the deviation and its causes in the machining process by regularly collecting and recording error data during machining, including machining accuracy, shape error, surface roughness, etc. Through machining control based on the multi-axis linkage machining plan and calibrated tool compensation, ensure that each stage in the machining process can be accurately executed, reduce error generation. Error collection can promptly detect problems in the machining process and make adjustments to ensure that the machining accuracy meets the requirements and avoid large-scale production quality fluctuations.

[0034] Step Five: Generate multi-axis linkage compensation based on inter-axis coordination and the error collection result, and perform machining control based on the multi-axis linkage compensation.

[0035] Specifically, inter-axis coordination refers to the process in multi-axis machining where each axis, based on the machining tasks and error distribution, coordinates with each other to optimize the motion trajectory and machining parameters, so as to improve the overall machining accuracy and efficiency. The error acquisition result refers to the machining error data of the workpiece after each axis has completed its execution during the machining process, including dimensional errors, surface shape deviations, tool path errors, etc. According to the collected error data, analyze the types of errors (such as random errors) and sources (mechanical wear, thermal deformation, etc.), and based on the error types and sources, select appropriate compensation methods, such as geometric compensation, attitude compensation, dynamic compensation, etc. Geometric compensation is used to adjust the position compensation values of the tool in the X, Y, and Z axis directions to correct the deviations; attitude compensation is used to adjust the angles of the rotating axes (A / B axes) to optimize the contact state between the tool and the workpiece; dynamic compensation is used to control the motion parameters of the axes (such as speed, acceleration) in real time to reduce machining vibrations and path deviations.

[0036] Combine the error acquisition result with the inter-axis coordination result to identify the patterns and trends of errors, and conduct statistical analysis based on the error trends. Use CAD / CAM software to optimize the compensation path for the tool path according to the compensation method, calculate the compensation value through the theoretical value and the actual value, and adjust the machining parameters according to the compensation value. Input the adjusted machining parameters into the control system to ensure that the control system adjusts the motion 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 machining process to avoid introducing new errors due to environmental changes (such as thermal deformation). After machining, collect the workpiece error data again to verify whether the compensation effect meets the standard. At the same time, monitor the actual positions and compensation effects of each axis in real time during the machining process, and dynamically adjust the compensation parameters according to the real-time monitoring results to adapt to the changes during the machining process.

[0037] Multi-axis linkage compensation refers to using the error acquisition result and inter-axis coordination analysis to adjust the path of the motion axes, perform tool compensation, and optimize the machining parameters, generating a compensation value to eliminate errors and achieve precise machining. Machining control refers to combining the compensation data to perform real-time control on the machine tool motion parameters (such as position, speed, attitude) and machining strategies (such as cutting depth, feed rate) to ensure that the final machining result meets the design goal. Through multi-axis linkage compensation, the machining accuracy of complex parts is significantly improved, and problems such as machine tool vibrations and machining instability caused by errors are reduced.

[0038] Furthermore, step two of this application includes:

[0039] Extract key features based on the solution analysis results. The key features include the machining path, feature machining requirements, and error distribution. Conduct inter-axis collaborative analysis based on the key features to establish inter-axis correlations. Perform error adjustment based on the error distribution, and use the feature machining requirements as the machining target to conduct error coupling fitting based on the inter-axis correlations and establish the fitting results. Generate inter-axis collaboration according to the fitting results.

[0040] Specifically, according to the solution analysis results, extract key features, including the machining path (the movement trajectory of the tool during machining), feature machining requirements (the machining requirements of the part, such as specific dimensions, surface finish, shape accuracy, etc.), and error distribution (such as dimensional error, shape error, etc.). The machining path is extracted by software to obtain the tool movement path and analyze whether it meets the design requirements of the product, whether there are unnecessary idle paths or machining trajectories that do not meet the accuracy requirements. Feature machining requirements extract the features of the part from the CAD model, such as the diameter of the hole, surface roughness, angle, etc., and convert the requirements into machining parameters as the machining target. The error distribution obtains the error distribution data on different axes through path simulation and machine tool status monitoring, usually detected and recorded by sensors and measuring instruments (such as laser interferometers, displacement sensors, etc.).

[0041] In multi-axis simultaneous machining, inter-axis collaboration refers to the coordinated work among various machining axes (such as the X-axis, Y-axis, Z-axis, and rotary axes, etc.). The movement of each axis needs to cooperate with the movement of other axes to ensure machining accuracy and stability. By analyzing the interaction between different axes, establish an inter-axis correlation model to accurately describe the movement relationship and dependence between different axes, including how they affect each other and how to work together.

[0042] According to the error analysis, make necessary adjustments to the multi-axis simultaneous machining plan, that is, predict and compensate for the errors in different parts of the machining process, and perform dynamic correction based on historical data and real-time monitoring data to ensure the accuracy requirements of the product. Use the feature machining requirements as the machining target, clarify the most critical feature machining requirements during the machining process of the part, conduct error coupling fitting, comprehensively consider multiple error sources, and use methods such as the least squares method and Kalman filtering to mathematically model the error relationship between each axis and calculate how each error source couples and transmits during the machining process. In multi-axis simultaneous machining, the errors between different axes may affect each other. The purpose of error coupling fitting is to make the machining process more accurate by modeling and optimizing these errors. For example, the error coupling relationship between the X-axis and the Z-axis causes dimensional deviation of the machined part, and the control parameters of the Z-axis are adjusted to compensate for the error of the X-axis.

[0043] The model results obtained by error coupling fitting are used to optimize the machining control. By analyzing the fitting results, the compensation parameters for the movement of each axis are obtained, and the real-time machining control is adjusted according to the compensation values. Using the error coupling fitting results, inter-axis coordination is generated to adjust the movement of each axis to make it more coordinated and reduce error propagation. This is usually achieved by adjusting the motion commands in the numerical control system. For example, when machining a precision part, it is found that the error of the X-axis causes a deviation in the machining dimension 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 be machined 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. By analyzing the detailed parsing and error analysis of the multi-axis linkage machining plan, the 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 movement between the axes can be effectively coordinated, the error transmission can be reduced, and the stability of the multi-axis linkage system is ensured.

[0044] Further, step three of the present application includes:

[0045] Obtain the batch tool usage records of the machining tool, perform a steady-state analysis of the tool based on the batch tool usage records, and establish a stable retention coefficient; conduct a proof-of-concept of the machining tool for the multi-axis linkage machining plan to establish a proof-of-concept test data set; aggregate the wear data based on the proof-of-concept test data set to establish a calibrated wear range; use the stable retention coefficient to conduct an equilibrium wear analysis of the calibrated wear range to establish the tool equilibrium wear result.

[0046] Specifically, obtaining the batch usage records of the tool includes information such as the tool usage time, machining material, machining type, working conditions, etc. The batch tool usage record refers to the detailed record of the tool usage situation during batch production, including the tool usage time, the types of workpieces machined, the working environment of the tool, the wear situation, the cutting conditions, the usage frequency, and the replacement time of the tool. According to the batch tool usage records, analyze the performance stability of the tool during batch machining and evaluate its stability and reliability. Analyze the tool wear and usage situation by using data analysis or statistical software to analyze the tool usage records, analyze the wear situation of the tool after long-term use, and determine whether it is stable or further exacerbates the wear.

[0047] Through steady-state analysis, the stable retention coefficient of the cutting tool is established, which describes the retention ability of the cutting tool in a stable working state, that is, the ability of the cutting tool to maintain good cutting performance during use. If the cutting force of the cutting tool remains unchanged in the stable state and the surface wear does not increase significantly, its stable retention coefficient is relatively high; if the cutting force increases significantly after a certain service time, the stable retention coefficient is relatively low. Making a trial of the cutting tool for the multi-axis linkage machining plan is a process of testing and verifying the cutting tool before actual machining. The trial test uses the cutting tool in an actual or simulated machining environment, collects its performance data under specific machining conditions, and tests data such as tool wear, cutting force, and temperature. The trial test data set is a data set that records the data collected during the trial of the cutting tool for use, including parameters such as cutting force, temperature, and wear degree.

[0048] Sort out and analyze the wear data collected during the trial of the cutting tool for use, analyze the changing trend of tool wear, and delimit the calibrated wear interval of the cutting tool according to the wear degree. The calibrated wear interval is a safe range of wear determined through precise calculation of the tool wear situation based on a large amount of usage data and experimental results, which helps to determine the best time for tool replacement, thereby ensuring machining quality and efficiency. That is to say, within this interval, the wear of the cutting tool is acceptable. When exceeding this interval, the performance of the cutting tool may decline, affecting machining quality.

[0049] Utilize the stable retention coefficient and the calibrated wear interval to conduct an equalized wear analysis of the cutting tool, evaluate whether the wear of the cutting tool during use is uniform, and find optimization methods to improve tool life and performance. The equalized wear analysis can help to confirm whether there is a situation where a certain part of the cutting tool wears faster during use. For example, the cutting edge of the cutting tool wears too fast while the back wear is less, which affects the overall performance of the cutting tool. Ensure that the cutting tool can maintain stable machining performance throughout the wear cycle, thereby improving machining quality and efficiency. Establishing the equalized wear result of the cutting tool is a quantitative evaluation of the performance stability of the cutting tool throughout the wear cycle, which helps to optimize the tool usage and maintenance strategies. According to the results of the equalized wear analysis, generate the equalized wear result of the cutting tool, which details the wear situation of each part of the cutting tool during the entire use process and whether the wear is uniform. If the wear is not uniform, it is necessary to optimize the design, cutting parameters, or usage method of the cutting tool to improve its service life.

[0050] The result of the tool's balanced wear is the final result of the balanced wear analysis, which shows the wear condition of the tool during the machining process, especially whether the wear in different regions is uniform. Based on the result of the tool's balanced wear, the usage parameters of the tool can be optimized to achieve better performance and a longer service life. Through steady-state analysis and balanced wear analysis, the service life of the tool can be accurately predicted, the tool replacement timing can be optimized, premature or late tool replacement can be avoided, and unnecessary downtime and tool waste can be reduced. By establishing a stable retention coefficient and a calibrated wear range, tool wear problems can be pre-identified and solved, and the decline in machining accuracy or tool failure caused by excessive wear can be avoided.

[0051] Furthermore, the present application further includes the following steps:

[0052] Establish a collection zero point for the machining tool, where the collection zero point is the verification time point of the previous stage of the machining tool; perform time accumulation analysis based on the collection zero point to establish a first verification influence factor; perform error influence identification on the machining tool based on the error collection result to 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-check management based on the collection node.

[0053] Specifically, determine the collection zero point of the tool, which is the starting time point for recording the tool state 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 undergoes the last verification before starting the current machining task, usually after tool replacement, regrinding, or performance testing, and serves 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, accumulate the usage time of the tool and analyze the impact on the tool performance as time increases. The first verification influence factor is obtained by performing cumulative analysis on the operation data of the tool within a certain time period, evaluating the stability or performance change of the tool during this period, and reflecting the wear condition of the tool within a certain time period or its impact on the machining quality.

[0054] Based on the error collection result obtained by collecting the error of the workpiece after each machining axis is completed, analyze the impact of tool error on the machining quality, measure data such as dimensional error, shape error, or surface roughness that may occur during the machining process of the tool, and identify the impact of tool wear, deformation, and other factors on the machining quality. Through the tool influence factors identified by error collection, establish a second verification influence factor, which quantifies the specific impact of tool wear or other factors on the machining accuracy and provides the adjustment value required for tool compensation. The relationship between the error data and the tool performance change determines whether the tool needs to be adjusted or replaced.

[0055] Based on the first verification impact factor and the second verification impact factor, determine the optimal acquisition node, that is, the specific time point for monitoring and evaluating the tool performance. Before the tool performance starts to decline, timely capture the state change of the tool. Use a vision CCD to collect images of the machining tool at the acquisition node and establish a node image. Call the image of the machining tool at the acquisition zero point, compare the node image and the zero point image at the same position, obtain the change of the machining tool at different time nodes at the same position, judge 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.

[0056] According to the severity of the tool problem, perform corresponding tool self-check management. If the wear is small or there is no abnormality, appropriate compensation for the tool can be carried out. If the wear or crack exceeds the set threshold, it is prompted that tool compensation, correction or replacement is required. By setting the acquisition zero point and key acquisition nodes, effectively monitor the performance change of the tool. Time cumulative analysis and error acquisition can accurately identify the impact of tool wear, help formulate reasonable compensation measures or replacement cycles, timely detect machining errors and tool problems, and make adjustments, so as to ensure machining accuracy and product quality.

[0057] Furthermore, the present application further includes the following steps:

[0058] After flushing the machining tool with cutting fluid, call the vision CCD to collect images of the machining tool and establish a node image; call the zero point image for the acquisition zero point, and perform a same-position image comparison based on the zero point image call result and the node image to establish a same-position image comparison result; perform attention recognition according to the same-position image comparison result, and complete the machining tool self-check management with the attention recognition result.

[0059] Specifically, comprehensively flush the tool with cutting fluid to remove the chips, oil stains and coolant residues attached to the surface, ensure the tool surface is clean, so as to obtain high-quality image data. Call the vision CCD (Charge Coupled Device) to collect images of the machining tool. The vision CCD refers to a charge-coupled device camera, a high-precision image sensor commonly used in industrial vision inspection, which can collect high-definition images and digitize them. Collect images of the tool through the CCD camera, which can clearly record the details of the tool surface for analyzing wear, cracks or defects. Ensure that the relative position of the CCD camera and the tool remains consistent for effective image comparison. Establish a node image, that is, collect images of the tool at each acquisition node, which reflects the current state of the tool, including the wear degree, cutting edge shape, surface defects, etc.

[0060] Call the zero-point image for the acquisition zero point, which is the image of the tool at the acquisition zero point, that is, the image of the machining tool in the initial state or at 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. Use image comparison algorithms (such as edge detection, feature extraction, etc.) to compare the zero-point image obtained by the call with the node image, and focus on analyzing the changes of the same position of the tool at different time points, such as the cutting edge, cutting surface, etc. Determine the comparison result of the same-position images, and record the result obtained by comparing the zero-point image and the node image at the same position, including any wear, damage or other changes of the tool, for analyzing the wear and damage of the same position of the tool over a period of time. The comparison result of the same-position images includes whether there are abnormal phenomena such as cracks and chipping, whether the wear of the cutting edge of the tool 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.

[0061] Analyze the comparison result of the same-position images, identify the key areas of tool wear and damage for key attention, determine the degree of tool wear and damage, and whether the tool needs to be replaced or maintained immediately. Establish an abnormal discrimination threshold for the machining tool. If the attention recognition result triggers the abnormal discrimination threshold, that is, the wear or damage degree of the tool exceeds the preset critical value, report the abnormality of the machining tool and prompt that tool compensation, trimming or replacement is required. If the attention recognition result does not trigger the abnormal discrimination threshold, that is, the wear or damage degree of the tool is still within the normal range, but there is certain wear or error, establish machining tool compensation and perform appropriate compensation on the tool. Generate machining tool abnormality or machining tool compensation according to whether the abnormal discrimination threshold is triggered, and perform self-inspection management on the machining tool.

[0062] Automatically perform tool self-inspection management according to the attention recognition result, evaluate whether the tool is in a normal working state and whether the machining parameters need to be replaced or adjusted. Collect images through a visual CCD and perform same-position comparison to visually and quantitatively analyze tool wear or abnormal changes. The comparison between the node image and the zero-point image can accurately judge whether the tool can continue to be used, reduce waste caused by premature tool replacement, and at the same time avoid machining accuracy problems caused by delayed tool replacement. Through attention recognition and self-inspection management, take compensation or replacement measures in time before the abnormal state of the tool affects machining to ensure stable machining quality.

[0063] Furthermore, the present application further includes the following steps:

[0064] Establish an abnormal discrimination threshold for the machining tool; if the concerned recognition result triggers the abnormal discrimination threshold, report the abnormality of the machining tool and manage the machining tool based on the machining tool abnormality; if the concerned recognition result does not trigger the abnormal discrimination threshold, establish a machining tool compensation based on the concerned recognition result and manage the machining tool according to the machining tool compensation.

[0065] Specifically, according to the design specifications, usage scenarios, machining requirements, etc. of the tool, establish an abnormal discrimination threshold for the machining tool, that is, preset parameters or indicators, including numerical values such as wear amount, crack length, and edge notch size, for judging whether the state of the machining tool is abnormal. For example, the impact on machining quality after the wear amount exceeds a certain value (such as 0.4 mm); the tool cracking or uneven machining surface caused by the crack length exceeding a certain value (such as 0.2 mm); if the depth of the edge notch of the tool exceeds 0.1 mm, the surface roughness of the workpiece does not meet the standard.

[0066] If the concerned recognition result triggers the abnormal discrimination threshold, that is, the wear or damage degree of the tool exceeds the preset critical value, report the abnormality of the machining tool. Automatically issue an alarm to notify the operator or maintenance personnel, and record the abnormal information, including time, tool number, abnormal type, etc. Manage the machining tool according to the machining tool abnormality, that is, take corresponding management measures, such as suspending machining, replacing the tool or adjusting machining parameters, etc. If the concerned recognition result does not trigger the abnormal discrimination threshold, that is, the wear or damage degree of the tool is still within the normal range, but there is a certain amount of wear or error, then make appropriate compensation for the tool according to the concerned recognition result. According to the recognition result, calculate the wear or error amount of the tool, establish a machining tool compensation, such as adjusting the tool position or machining parameters (such as feed rate, cutting depth, etc.), to compensate for the slight wear or change of the tool, so as to maintain machining quality and efficiency. Real-time monitor the compensation effect to ensure machining quality.

[0067] Regardless of whether the abnormal discrimination threshold is triggered, it is necessary to record the current state of the tool to update the tool management information, manage the machining tool based on the machining tool abnormality and machining tool compensation, ensure that the tool works in the best state, extend the 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, optimize the tool use with compensation strategies, delay the replacement cycle, and reduce the tool consumption cost.

[0068] Furthermore, the present application further includes the following steps:

[0069] Record the machining compensation for batch machining, construct an abnormal database based on the machining compensation; conduct a weak point analysis of the multi-axis linkage machining plan based on the abnormal database, establish a machining plan construction compensation, and use the machining plan construction compensation for subsequent batch machining processing.

[0070] Specifically, in batch processing, the machining compensation data of each workpiece is recorded in real time, including the compensation amounts of each axis, the compensation timing, and the compensation effect. Machining compensation refers to the adjustments made to the tool path, axis movement parameters, or machining settings during the machining process to correct machining errors. Cluster analysis is performed on the compensation values that appear multiple times during machining to screen out abnormal compensation values and their occurrence frequencies. If the number of compensations exceeds the normal range, it indicates that the corresponding compensation frequency is abnormally high. Based on the machining compensation data, an abnormal database is constructed, including error sources, frequency distributions, compensation strategies, compensation effects, etc., for storing and analyzing abnormal situations during the machining process.

[0071] Extract the distribution rules of abnormal compensation values and the corresponding processes from the abnormal database, and analyze the common problems existing in the machining plan. Statistically analyze the occurrence frequency of each type of abnormality, and combine with process parameters to analyze the root causes of abnormal compensation (such as tool wear, machine tool thermal deformation). For frequently occurring abnormal compensations, optimize the machining path or improve tool parameters. For weak links, such as the complex surface machining stage, improve the accuracy of tool attitude adjustment. Weakness analysis of the plan refers to identifying the problems and weak links existing in the machining plan through in-depth analysis of the data in the abnormal database.

[0072] Utilize the analysis results of abnormal data to formulate compensation strategies for weak links, including path compensation (re-optimize the tool path), dynamic compensation (make real-time adjustments to dynamic errors), local optimization (perform local compensation on processes with frequent abnormalities), etc. Apply the optimized compensation strategy to subsequent batch production, that is, apply the established compensation to the actual batch machining process to improve machining quality, efficiency, and reliability. During subsequent batch machining, monitor the compensation effect in real time and make dynamic adjustments according to the actual situation. Continuously update the abnormal database and compensation strategy based on the results of subsequent machining to achieve continuous improvement of the machining process. By identifying and compensating weak links, abnormal situations during the machining process are reduced, and machining stability is improved.

[0073] In summary, the batch machining method for multi-axis linkage precision components provided by this application has the following technical effects:

[0074] By obtaining the information of the product to be processed, where the information of the product to be processed includes the raw material information of the product and the finished product information of the product, a multi-axis linkage process fitting is performed based on the information of the product to be processed to establish a multi-axis linkage machining plan; the multi-axis linkage machining plan is analyzed, and an inter-axis coordination is established based on the result of the plan analysis; based on the multi-axis linkage machining plan, the wear analysis of the machining tool is carried out to establish the result of balanced tool wear, and the calibrated tool compensation of the multi-axis linkage machining plan is configured with the result of balanced tool wear; when batch machining is performed, machining control is carried out based on the multi-axis linkage machining plan and the calibrated tool compensation, and the error collection of the workpiece is performed after each machining axis is completed to establish the result of error collection; a multi-axis linkage compensation is generated based on the inter-axis coordination and the result of error collection, and machining control is carried out based on the multi-axis linkage compensation. That is to say, by performing a multi-axis linkage process fitting on the product to be processed, identifying and optimizing the cooperation between different axes, monitoring and analyzing the tool wear in real time, and performing the error collection of the workpiece after each machining axis is completed, corresponding compensation measures can be generated according to the size, type of the error and the situation of inter-axis coordination, maintaining high precision and high consistency in batch machining, avoiding the accumulation of errors and the decline of machining accuracy, ensuring that the product accuracy of each batch always remains consistent, thereby improving the product quality and production efficiency of batch machining.

[0075] Embodiment 2. Based on the same inventive concept as the batch machining method for multi-axis linkage precision components in the foregoing Embodiment 1, the present application also provides a batch machining system for multi-axis linkage precision components. Please refer to the attached Figure 2 , the batch machining system for multi-axis linkage precision components includes:

[0076] A product information acquisition module 11, which is used to acquire the information of the product to be processed. The information of the product to be processed includes the raw material information of the product and the finished product information of the product. A multi-axis linkage process fitting is performed based on the information of the product to be processed to establish a multi-axis linkage machining plan.

[0077] A plan analysis module 12, which is used to analyze the multi-axis linkage machining plan and establish an inter-axis coordination based on the result of the plan analysis.

[0078] A wear analysis module 13, which is used to perform the wear analysis of the machining tool based on the multi-axis linkage machining plan to establish the result of balanced tool wear, and configure the calibrated tool compensation of the multi-axis linkage machining plan with the result of balanced tool wear.

[0079] An error collection module 14, which is used to perform machining control based on the multi-axis linkage machining plan and the calibrated tool compensation when batch machining is performed, and perform the error collection of the workpiece after each machining axis is completed to establish the result of error collection.

[0080] The compensation machining module 15 is configured to generate multi-axis linkage compensation based on the inter-axis coordination and error acquisition results, and perform machining control based on the multi-axis linkage compensation.

[0081] Furthermore, the solution analysis module 12 in the batch machining system with multi-axis linkage precision components is further configured to:

[0082] Extract key features according to the solution analysis results, where the key features include machining paths, feature machining requirements, and error distributions; perform inter-axis coordination analysis based on the key features to establish inter-axis associations; perform error adjustment based on the error distributions, and take the feature machining requirements as the machining target to perform error coupling fitting based on the inter-axis associations to establish fitting results; generate inter-axis coordination according to the fitting results.

[0083] Furthermore, the wear analysis module 13 in the batch machining system with multi-axis linkage precision components is further configured to:

[0084] Obtain the batch tool usage records of the machining tools, perform steady-state analysis of the tools based on the batch tool usage records to establish a stable retention coefficient; perform tool usage proofing for the multi-axis linkage machining solution to establish a proofing test data set; perform wear data aggregation based on the proofing test data set to establish a calibrated wear interval; perform balanced wear analysis of the calibrated wear interval using the stable retention coefficient to establish a tool balanced wear result.

[0085] Furthermore, the batch machining system with multi-axis linkage precision components further includes a tool self-inspection module, and the tool self-inspection module is further configured to:

[0086] Establish an acquisition zero point for the machining tool, where the acquisition zero point is the previous stage verification time point of the machining tool; perform time accumulation analysis based on the acquisition zero point to establish a first verification influence factor; perform error influence identification of the machining tool based on the error acquisition results to establish a second verification influence factor; locate the acquisition node through the first verification influence factor and the second verification influence factor, and perform tool self-inspection management based on the acquisition node.

[0087] Furthermore, the batch machining system with multi-axis linkage precision components further includes a tool self-inspection module, and the tool self-inspection module is further configured to:

[0088] After flushing the machining tool with cutting fluid, call the vision CCD to perform image acquisition on the machining tool to establish a node image; call the zero point image for the acquisition zero point, and perform same-position image comparison based on the zero point image call result and the node image to establish a same-position image comparison result; perform attention recognition according to the same-position image comparison result, and complete the tool self-inspection management with the attention recognition result.

[0089] Further, the batch processing system with multi-axis linkage precision components further includes a tool self-inspection module, and the tool self-inspection module is further configured to:

[0090] Establish an abnormal discrimination threshold for the machining tool; if the concerned recognition result triggers the abnormal discrimination threshold, report the abnormality of the machining tool, and manage the machining tool with the machining tool abnormality; if the concerned recognition result does not trigger the abnormal discrimination threshold, establish a machining tool compensation based on the concerned recognition result, and manage the machining tool according to the machining tool compensation.

[0091] Further, the batch processing system with multi-axis linkage precision components further includes a weak compensation module, and the weak compensation module is further configured to:

[0092] Record the machining compensation for batch machining, construct an abnormal database based on the machining compensation; perform a weak analysis of the multi-axis linkage machining plan based on the abnormal database, establish a machining plan construction compensation, and use the machining plan construction compensation for subsequent batch machining processing.

[0093] In the present specification, each embodiment is described in a progressive manner, and the key point of each embodiment is to illustrate the differences from other embodiments. The above-mentioned Figure 1 The batch machining method and specific examples of the batch machining system with multi-axis linkage precision components in the first embodiment are equally applicable to the batch machining system with multi-axis linkage precision components in this embodiment. Through the above detailed description of the batch machining method with multi-axis linkage precision components, those skilled in the art can clearly know the batch machining system with multi-axis linkage precision components in this embodiment. Therefore, for the sake of simplicity of the specification, it will not be elaborated 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 description in the method part.

[0094] 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 obvious to those skilled in the art, and the general principles defined herein can 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 these embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0095] 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 fall within the scope of the present application and its equivalent technologies, the present application is also intended to include these changes 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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