High-precision machining process optimization method and system for special-shaped microstructure part

Abstract

The invention provides a high-precision machining process optimization method and system for a special-shaped microstructure part, and the method comprises the steps: obtaining a multi-angle machining image of an initial machined part, and obtaining the initial geometric information of the initial machined part based on the multi-angle machining image of the initial machined part; processing based on preset precision part design information to obtain a target precision part, acquiring a multi-angle image of the target precision part, and acquiring geometric information of the target precision part based on the multi-angle image of the target precision part; based on the geometrical information of the initial machining part and the target precision part, curvature analysis is carried out, and partition data of curvature information of a machining area of the target precision part is generated; generating preliminary processing data based on the partition data, and optimizing the processing data of the preset precision part design information based on the preliminary processing data. According to the method, the whole-process analysis optimization of precision part machining is realized, the machining efficiency of the precision part is improved, and meanwhile, by controlling the geometric information of the precision part machining blank, the precision part finished product has uniform machining quality.

Description

Technical Field

[0001] The present invention relates to the technical field of precision parts processing, and in particular to a high-precision processing technology optimization method and system for special-shaped microstructure parts. Background Art

[0002] Special-shaped microstructure parts (such as micro gears, micro bearings, precision molds, etc.) are widely used in precision machinery, medical equipment, optical instruments and other fields. Their structures usually have complex geometric shapes (such as asymmetric surfaces, micro teeth, micro grooves) and micron-level precision requirements.

[0003] Currently, some studies use machine vision inspection or finite element simulation to optimize machining paths, but these methods still suffer from issues such as insufficient data fusion, poor real-time performance, and weak adaptability. Therefore, an intelligent, adaptive machining optimization method is urgently needed to improve the machining accuracy and efficiency of special-shaped microstructured parts. Summary of the Invention

[0004] In view of the deficiencies in the prior art, the present invention provides a method and system for optimizing the high-precision machining process of special-shaped microstructure parts to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A high-precision machining process optimization method for special-shaped microstructure parts, characterized by comprising the following steps:

[0006] Acquire multi-angle processed images of the initial workpiece, and acquire initial geometric information of the initial workpiece based on the multi-angle processed images of the initial workpiece;

[0007] Processing is performed based on preset precision part design information to obtain a target precision part, obtaining multi-angle images of the target precision part, and obtaining geometric information of the target precision part based on the multi-angle images of the target precision part;

[0008] Based on the geometric information of the initial workpiece and the target precision part, curvature analysis is performed to generate partition data of the curvature information of the target precision part processing area;

[0009] Generate preliminary processing data based on the partition data, and optimize the processing data of the preset precision part design information based on the preliminary processing data;

[0010] The geometric information of the workpiece to be processed is obtained, and the processing of the workpiece to be processed is completed based on the optimized processing data.

[0011] As a preferred embodiment of this invention, the curvature analysis is performed based on the geometric information of the initial workpiece and the target precision part to generate partition data of the curvature information of the target precision part processing area, including:

[0012] Determine the common reference plane of the initial workpiece and the target precision part, and extract the characteristic points of the initial workpiece and the target precision part;

[0013] Perform feature matching on the initial workpiece and the target precision part, align the reference surfaces of the initial workpiece and the target precision part, and generate the difference area between the two and a three-dimensional model of the target precision part;

[0014] Perform feature enhancement processing on the 3D model of the target precision part, calculate the normal vector of each face in the 3D model, and obtain the curvature data of each face of the target precision part;

[0015] The surface of the target precision part is partitioned based on the curvature data, and partition data of the curvature information of the target precision part processing area is generated based on the difference area and the surface partition.

[0016] As a preferred embodiment of this embodiment, generating preliminary processed data based on partition data includes:

[0017] For each machining surface of the partition data, machining path planning is performed to generate machining path data. The machining path data of all machining surfaces are combined to obtain the preliminary machining data of the target precision parts.

[0018] As a preferred embodiment of the present invention, the processing path planning is performed for each processing surface of the partition data to generate processing path data, and the processing path data of all processing surfaces are combined to obtain preliminary processing data of the target precision part, including:

[0019] Generate a machining simulation environment for each machining surface based on the partitioned data and obtain a simulation path for each machining surface;

[0020] Obtain the machining residual value of the simulation path of the machining surface, and mark the simulation path with the smallest machining residual value as the final path;

[0021] The simulation processing results of the target precision parts are completed based on the final simulation paths of all processing surfaces, and the preliminary processing data are determined in combination with the geometric parameters of the target precision parts.

[0022] As a preferred embodiment of this embodiment, the optimizing of the processing data of the preset precision part design information based on the preliminary processing data includes:

[0023] Obtaining the machining paths of all machining surfaces in the preliminary machining data and the machining data of the preset precision part design information and numbering them respectively;

[0024] Obtain the residual value of the corresponding machining surfaces after machining using the corresponding machining paths to determine the residual value index;

[0025] ;

[0026] Where ECI represents the residual index, Ekm represents the residual value of the machined surface numbered m, δ represents the correction coefficient, m represents the machined surface numbered m, and N represents the total number of machined surfaces.

[0027] The comparison result of the residual value index of the processing data based on the preliminary processing data and the preset precision part design information determines whether the processing path needs to be optimized.

[0028] As a preferred embodiment of this embodiment, before completing the processing of the workpiece to be processed based on the optimized processing data, the method further includes determining the required processing volume of the workpiece to be processed based on the geometric information of the workpiece to be processed and the geometric information of the target precision workpiece, and determining whether the optimized processing data meets the processing requirements based on the required processing volume;

[0029] If so, the machining operation is performed;

[0030] If not, the processing data is fine-tuned and then the processing operation is performed.

[0031] Another aspect of the present invention provides a high-precision machining process optimization system for special-shaped microstructure parts, which is used to implement any of the above-mentioned high-precision machining process optimization methods for special-shaped microstructure parts, comprising:

[0032] A precision parts processing module is used to obtain multi-angle processing images of an initial processing part, obtain initial geometric information of the initial processing part based on the multi-angle processing images of the initial processing part, and perform processing based on preset precision part design information to obtain a target precision part, obtain multi-angle images of the target precision part, and obtain geometric information of the target precision part based on the multi-angle images of the target precision part;

[0033] The precision parts data analysis module is used to perform curvature analysis based on the geometric information of the initial processing parts and the target precision parts, and generate partition data of the curvature information of the target precision parts processing area;

[0034] An optimization module is used to generate preliminary processing data through partition data, and optimize the processing data of preset precision part design information based on the preliminary processing data;

[0035] The precision parts processing module is further used to obtain geometric information of the workpiece to be processed and complete the processing of the workpiece to be processed based on the optimized processing data.

[0036] As a preferred embodiment of this invention, the curvature analysis is performed based on the geometric information of the initial workpiece and the target precision part to generate partition data of the curvature information of the target precision part processing area, including:

[0037] Determine the common reference plane of the initial workpiece and the target precision part, and extract the characteristic points of the initial workpiece and the target precision part;

[0038] Perform feature matching on the initial workpiece and the target precision part, align the reference surfaces of the initial workpiece and the target precision part, and generate the difference area between the two and a three-dimensional model of the target precision part;

[0039] Perform feature enhancement processing on the 3D model of the target precision part, calculate the normal vector of each face in the 3D model, and obtain the curvature data of each face of the target precision part;

[0040] The surface of the target precision part is partitioned based on the curvature data, and partition data of the curvature information of the target precision part processing area is generated based on the difference area and the surface partition.

[0041] As a preferred embodiment of this invention, generating preliminary processing data by partitioning data and optimizing the processing data of the preset precision part design information based on the preliminary processing data includes:

[0042] Generate a machining simulation environment for each machining surface based on the partitioned data and obtain a simulation path for each machining surface;

[0043] Obtain the machining residual value of the simulation path of the machining surface, and mark the simulation path with the smallest machining residual value as the final path;

[0044] Complete the simulation processing results of the target precision part based on the final simulation path of all processing surfaces, and determine the preliminary processing data based on the geometric parameters of the target precision part;

[0045] Obtaining the machining paths of all machining surfaces in the preliminary machining data and the machining data of the preset precision part design information and numbering them respectively;

[0046] Obtain the residual value of the corresponding machining surfaces after machining using the corresponding machining paths to determine the residual value index;

[0047] ;

[0048] Where ECI represents the residual index, Ekm represents the residual value of the machined surface numbered m, δ represents the correction coefficient, m represents the machined surface numbered m, and N represents the total number of machined surfaces.

[0049] The comparison result of the residual value index of the processing data based on the preliminary processing data and the preset precision part design information determines whether the processing path needs to be optimized.

[0050] As a preferred embodiment of this embodiment, before the precision parts processing module completes processing of the workpiece to be processed based on the optimized processing data, it further includes determining the required processing volume of the workpiece to be processed based on the geometric information of the workpiece to be processed and the geometric information of the target precision parts, and determining whether the optimized processing data meets the processing requirements based on the required processing volume;

[0051] If so, the machining operation is performed;

[0052] If not, the processing data is fine-tuned and then the processing operation is performed.

[0053] The present invention provides a high-precision machining process optimization method and system for special-shaped microstructure parts, which has the following beneficial effects: by obtaining multi-angle machining images of the initial machining part, initial geometric information of the initial machining part is obtained based on the multi-angle machining images of the initial machining part; machining is performed based on preset precision part design information to obtain a target precision part, multi-angle images of the target precision part are obtained, and geometric information of the target precision part is obtained based on the multi-angle images of the target precision part; curvature analysis is performed based on the geometric information of the initial machining part and the target precision part, and partition data of the curvature information of the machining area of ​​the target precision part is generated; preliminary machining data is generated based on the partition data, and machining data of the preset precision part design information is optimized based on the preliminary machining data; geometric information of the workpiece to be machined is obtained, and machining of the workpiece to be machined is completed based on the optimized machining data, that is, full-process analysis and optimization of precision part machining is realized, the amount of personnel participation is reduced, and the machining efficiency of precision parts is improved. At the same time, by controlling the geometric information of the precision part machining blank, the precision part finished product has uniform machining quality, and by dividing the machining surface, the machining effect of each machining surface is compared and analyzed to achieve the optimal machining path, improve the control accuracy and timeliness of precision part machining, and ensure the quality of precision part machining. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 This is a flow chart of the high-precision machining process optimization method for special-shaped microstructure parts of the present invention;

[0055] Figure 2 This is a block diagram of the high-precision machining process optimization system for special-shaped microstructure parts of the present invention. DETAILED DESCRIPTION

[0056] The embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and are not to be construed as limiting the present invention.

[0057] The disclosure below provides many different embodiments or examples for realizing different structures of the present invention. In order to simplify the disclosure of the present invention, the components and settings of specific examples are described below. Of course, they are merely examples and are not intended to limit the present invention. In addition, the present invention may repeat reference numbers and / or reference letters in different examples. Such repetition is for the purpose of simplicity and clarity and does not in itself indicate the relationship between the various embodiments and / or settings discussed. In addition, the present invention provides examples of various specific processes and materials, but those skilled in the art will recognize the application of other processes and / or the use of other materials.

[0058] like Figure 1 As shown, an embodiment of the present invention provides a method for optimizing a high-precision machining process for a special-shaped microstructure part, comprising the following steps:

[0059] S1: Acquire multi-angle processing images of the initial workpiece, and obtain initial geometric information of the initial workpiece based on the multi-angle processing images of the initial workpiece;

[0060] Specifically, CCDs or sensors are used to capture multi-angle images of the initial workpiece. These images contain interference such as noise, deformation, and distortion. Therefore, image processing includes noise removal, image enhancement, and distortion correction. Features of the initial workpiece, such as edges, curved surfaces, and holes, are then extracted from the images. This feature extraction method can utilize computer vision technology. Since the images are captured from multiple angles, multiple sets of images are generated. Therefore, the features of these images must be matched to generate geometric information about the initial workpiece.

[0061] For example, a processing embryo of a gear is captured, and images of different parts of the embryo are captured by several CCDs and sensors to obtain images from multiple angles. The captured images are affected by lighting conditions and lens distortion. Therefore, image processing algorithms are used by computers to correct these problems to ensure image quality. In the image, the edges, curves, and missing parts of the embryo are automatically detected. These features are extracted for subsequent analysis. Because images at different angles come from different CCD or sensor positions, the server aligns them to ensure that they are in the same coordinate system. This can be achieved through feature point matching and transformation estimation. When image matching is completed, three-dimensional geometric information of the gear embryo is generated based on the extracted features and matching information.

[0062] S2: Processing is performed based on preset precision part design information to obtain a target precision part, acquiring multi-angle images of the target precision part, and acquiring geometric information of the target precision part based on the multi-angle images of the target precision part;

[0063] In this embodiment, the design information of the precision parts is specifically the standard structural design drawing information of the precision parts, including its standard information, which is then produced through processing equipment to obtain the target precision parts, and then the geometric information of the target precision parts is obtained in the same way as the initial geometric information of the initial processed parts.

[0064] S3: Based on the geometric information of the initial workpiece and the target precision part, curvature analysis is performed to generate partition data of the curvature information of the target precision part processing area;

[0065] In this embodiment, the common reference plane of the initial machined part and the target precision part is determined, and characteristic points (characteristic points may be edge points or key points, etc.) in the initial machined part and the target precision part are extracted. Feature matching is performed on the initial machined part and the target precision part to align the reference planes of the initial machined part and the target precision part. The difference area between the two and a three-dimensional model of the target precision part are generated. The three-dimensional model can more accurately reflect the actual shape of the target precision part. Feature enhancement processing is performed on the three-dimensional model of the target precision part. The normal vector is calculated for each face in the three-dimensional model to obtain curvature data of each face of the target precision part. The surface of the target precision part is partitioned based on the curvature data. Based on the difference area and the surface partition, partition data of the curvature information of the processing area of ​​the target precision part is generated.

[0066] Among them, by dividing the curvature intervals, it can be determined which surfaces can be divided into the same processing area.

[0067] Through regional division, the processing area can be divided more finely and accurately to improve processing efficiency and quality.

[0068] S4: Generate preliminary processing data based on the partition data, and optimize the processing data of the preset precision part design information based on the preliminary processing data;

[0069] In this embodiment, machining path planning is performed for each machining surface of the partition data to generate machining path data, and the machining path data of all machining surfaces are combined to obtain preliminary machining data of the target precision part.

[0070] Specifically, a machining simulation environment is generated for each machining surface based on the partitioned data, a simulation path for each machining surface is obtained, the machining residual value of the machining surface simulation path is obtained, and the simulation path with the smallest machining residual value in the simulation path is marked as the final path; the simulation machining results of the target precision parts are completed based on the final simulation paths of all machining surfaces, and the preliminary machining data is determined in combination with the geometric parameters of the target precision parts.

[0071] Among them, the processing paths of multiple processing surfaces are simulated, and the simulation path of each processing surface is subjected to a three-dimensional comprehensive analysis. After the comprehensive analysis, the best simulation path is selected for processing, effectively ensuring the accuracy, cost, efficiency and quality of CNC processing.

[0072] It can be understood that the processing residual value specifically refers to the allowance that needs to be trimmed after processing using the path.

[0073] S5: Acquire geometric information of the workpiece to be processed, and complete processing of the workpiece to be processed based on the optimized processing data.

[0074] Specifically, before completing the processing of the workpiece based on the optimized processing data, it also includes determining the required processing volume of the workpiece based on the geometric information of the workpiece and the geometric information of the target precision part, and determining whether the optimized processing data meets the processing requirements based on the required processing volume;

[0075] If so, the machining operation is performed;

[0076] If not, the processing data is fine-tuned and then the processing operation is performed.

[0077] It can be understood that the fine-tuning of the processing data specifically refers to pre-processing of the processing data, and adjusting the area that does not meet the processing requirements to a state that meets the requirements.

[0078] In this embodiment, the combination form of each workpiece to be processed may be different. By determining whether the geometric information of the workpiece to be processed meets the execution requirements of the processing data, abnormal problems in the process of executing the processing data to process the workpiece to be processed can be effectively avoided.

[0079] Furthermore, the process of optimizing the processing data of the preset precision part design information based on the preliminary processing data includes:

[0080] Obtaining the machining paths of all machining surfaces in the preliminary machining data and the machining data of the preset precision part design information and numbering them respectively;

[0081] Obtain the residual value of the corresponding machining surfaces after machining using the corresponding machining paths to determine the residual value index;

[0082] ;

[0083] Where ECI represents the residual index, Ekm represents the residual value of the machined surface numbered m, δ represents the correction coefficient, m represents the machined surface numbered m, and N represents the total number of machined surfaces.

[0084] The comparison result of the residual value index of the processing data based on the preliminary processing data and the preset precision part design information determines whether the processing path needs to be optimized.

[0085] The high-precision machining process optimization method for special-shaped microstructure parts provided by the present invention obtains multi-angle machining images of the initial machining part, obtains the initial geometric information of the initial machining part based on the multi-angle machining images of the initial machining part; performs machining based on preset precision part design information to obtain the target precision part, obtains multi-angle images of the target precision part, and obtains the geometric information of the target precision part based on the multi-angle images of the target precision part; performs curvature analysis based on the geometric information of the initial machining part and the target precision part, and generates partition data of the curvature information of the machining area of ​​the target precision part; generates preliminary machining data based on the partition data, and optimizes the machining data of the preset precision part design information based on the preliminary machining data; obtains the geometric information of the workpiece to be machined, and completes the machining of the workpiece to be machined based on the optimized machining data, that is, realizes the full-process analysis and optimization of precision part machining, reduces the amount of personnel participation, and improves the machining efficiency of precision parts. At the same time, by controlling the geometric information of the precision part machining embryo, the precision part finished product has uniform machining quality, and by dividing the machining surface, the machining effect of each machining surface is compared and analyzed to achieve the optimal machining path, improve the control accuracy of precision part machining and the timeliness of optimization, and ensure the quality of precision part machining.

[0086] This embodiment further provides a high-precision machining process optimization system for special-shaped microstructure parts, which is used to implement any of the above-mentioned high-precision machining process optimization methods for special-shaped microstructure parts, and is characterized by comprising:

[0087] A precision parts processing module is used to obtain multi-angle processing images of an initial processing part, obtain initial geometric information of the initial processing part based on the multi-angle processing images of the initial processing part, and perform processing based on preset precision part design information to obtain a target precision part, obtain multi-angle images of the target precision part, and obtain geometric information of the target precision part based on the multi-angle images of the target precision part;

[0088] The precision parts data analysis module is used to perform curvature analysis based on the geometric information of the initial processing parts and the target precision parts, and generate partition data of the curvature information of the target precision parts processing area;

[0089] An optimization module is used to generate preliminary processing data through partition data, and optimize the processing data of preset precision part design information based on the preliminary processing data;

[0090] The precision parts processing module is further used to obtain geometric information of the workpiece to be processed and complete the processing of the workpiece to be processed based on the optimized processing data.

[0091] Furthermore, the curvature analysis is performed based on the geometric information of the initial workpiece and the target precision part to generate partition data of the curvature information of the target precision part processing area, including:

[0092] Determine the common reference plane of the initial workpiece and the target precision part, and extract the characteristic points of the initial workpiece and the target precision part;

[0093] Perform feature matching on the initial workpiece and the target precision part, align the reference surfaces of the initial workpiece and the target precision part, and generate the difference area between the two and a three-dimensional model of the target precision part;

[0094] Perform feature enhancement processing on the 3D model of the target precision part, calculate the normal vector of each face in the 3D model, and obtain the curvature data of each face of the target precision part;

[0095] The surface of the target precision part is partitioned based on the curvature data, and partition data of the curvature information of the target precision part processing area is generated based on the difference area and the surface partition.

[0096] Furthermore, generating preliminary processing data through partitioning data and optimizing the processing data of the preset precision part design information based on the preliminary processing data includes:

[0097] Generate a machining simulation environment for each machining surface based on the partitioned data and obtain a simulation path for each machining surface;

[0098] Obtain the machining residual value of the simulation path of the machining surface, and mark the simulation path with the smallest machining residual value as the final path;

[0099] Complete the simulation processing results of the target precision part based on the final simulation path of all processing surfaces, and determine the preliminary processing data based on the geometric parameters of the target precision part;

[0100] Obtaining the machining paths of all machining surfaces in the preliminary machining data and the machining data of the preset precision part design information and numbering them respectively;

[0101] Obtain the residual value of the corresponding machining surfaces after machining using the corresponding machining paths to determine the residual value index;

[0102] ;

[0103] Where ECI represents the residual index, Ekm represents the residual value of the machined surface numbered m, δ represents the correction coefficient, m represents the machined surface numbered m, and N represents the total number of machined surfaces.

[0104] The comparison result of the residual value index of the processing data based on the preliminary processing data and the preset precision part design information determines whether the processing path needs to be optimized.

[0105] Furthermore, before completing the processing of the workpiece to be processed based on the optimized processing data, the precision parts processing module further includes determining the required processing volume of the workpiece to be processed based on the geometric information of the workpiece to be processed and the geometric information of the target precision part, and determining whether the optimized processing data meets the processing requirements based on the required processing volume;

[0106] If so, the machining operation is performed;

[0107] If not, the processing data is fine-tuned and then the processing operation is performed.

[0108] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A high-precision machining process optimization method for special-shaped microstructure parts, characterized in that: The following steps are involved: Acquire multi-angle processed images of the initial workpiece, and acquire initial geometric information of the initial workpiece based on the multi-angle processed images of the initial workpiece; Processing is performed based on preset precision part design information to obtain a target precision part, obtaining multi-angle images of the target precision part, and obtaining geometric information of the target precision part based on the multi-angle images of the target precision part; Based on the geometric information of the initial workpiece and the target precision part, curvature analysis is performed to generate partition data of the curvature information of the target precision part processing area; Generate preliminary processing data based on the partition data, and optimize the processing data of the preset precision part design information based on the preliminary processing data; The geometric information of the workpiece to be processed is obtained, and the processing of the workpiece to be processed is completed based on the optimized processing data.

2. The high-precision machining process optimization method for special-shaped microstructure parts according to claim 1, characterized in that: The curvature analysis is performed based on the geometric information of the initial workpiece and the target precision part to generate partition data of the curvature information of the target precision part processing area, including: Determine the common reference plane of the initial workpiece and the target precision part, and extract the characteristic points of the initial workpiece and the target precision part; Perform feature matching on the initial workpiece and the target precision part, align the reference surfaces of the initial workpiece and the target precision part, and generate the difference area between the two and a three-dimensional model of the target precision part; Perform feature enhancement processing on the 3D model of the target precision part, calculate the normal vector of each face in the 3D model, and obtain the curvature data of each face of the target precision part; The surface of the target precision part is partitioned based on the curvature data, and partition data of the curvature information of the target precision part processing area is generated based on the difference area and the surface partition.

3. The high-precision machining process optimization method for special-shaped microstructure parts according to claim 1, characterized in that: Generating preliminary processing data based on partition data includes: For each machining surface of the partition data, machining path planning is performed to generate machining path data. The machining path data of all machining surfaces are combined to obtain the preliminary machining data of the target precision parts.

4. The high-precision machining process optimization method for special-shaped microstructure parts according to claim 3, characterized in that: The processing path planning is performed for each processing surface of the partition data to generate processing path data, and the processing path data of all processing surfaces are combined to obtain preliminary processing data of the target precision part, including: Generate a machining simulation environment for each machining surface based on the partitioned data and obtain a simulation path for each machining surface; Obtain the machining residual value of the simulation path of the machining surface, and mark the simulation path with the smallest machining residual value as the final path; The simulation processing results of the target precision parts are completed based on the final simulation paths of all processing surfaces, and the preliminary processing data are determined in combination with the geometric parameters of the target precision parts.

5. The high-precision machining process optimization method for special-shaped microstructure parts according to claim 1, characterized in that: The optimization of the processing data of the preset precision part design information based on the preliminary processing data includes: Obtaining the machining paths of all machining surfaces in the preliminary machining data and the machining data of the preset precision part design information and numbering them respectively; Obtain the residual value of the corresponding machining surfaces after machining using the corresponding machining paths to determine the residual value index; ； Where ECI represents the residual index, Ekm represents the residual value of the machined surface numbered m, δ represents the correction coefficient, m represents the machined surface numbered m, and N represents the total number of machined surfaces. The comparison result of the residual value index of the processing data based on the preliminary processing data and the preset precision part design information determines whether the processing path needs to be optimized.

6. The high-precision machining process optimization method for special-shaped microstructure parts according to claim 1, characterized in that: Before completing the processing of the workpiece to be processed based on the optimized processing data, the method further includes determining the required processing volume of the workpiece to be processed based on the geometric information of the workpiece to be processed and the geometric information of the target precision workpiece, and determining whether the optimized processing data meets the processing requirements based on the required processing volume; If so, the machining operation is performed; If not, the processing data is fine-tuned and then the processing operation is performed.

7. A high-precision machining process optimization system for special-shaped microstructure parts, used to implement the high-precision machining process optimization method for special-shaped microstructure parts according to any one of claims 1 to 6, characterized in that: include: A precision parts processing module is used to obtain multi-angle processing images of an initial processing part, obtain initial geometric information of the initial processing part based on the multi-angle processing images of the initial processing part, and perform processing based on preset precision part design information to obtain a target precision part, obtain multi-angle images of the target precision part, and obtain geometric information of the target precision part based on the multi-angle images of the target precision part; The precision parts data analysis module is used to perform curvature analysis based on the geometric information of the initial processing parts and the target precision parts, and generate partition data of the curvature information of the target precision parts processing area; An optimization module is used to generate preliminary processing data through partition data, and optimize the processing data of preset precision part design information based on the preliminary processing data; The precision parts processing module is further used to obtain geometric information of the workpiece to be processed and complete the processing of the workpiece to be processed based on the optimized processing data.

8. The high-precision machining process optimization system for special-shaped microstructure parts according to claim 7, characterized in that: The curvature analysis is performed based on the geometric information of the initial workpiece and the target precision part to generate partition data of the curvature information of the target precision part processing area, including: Determine the common reference plane of the initial workpiece and the target precision part, and extract the characteristic points of the initial workpiece and the target precision part; Perform feature matching on the initial workpiece and the target precision part, align the reference surfaces of the initial workpiece and the target precision part, and generate the difference area between the two and a three-dimensional model of the target precision part; Perform feature enhancement processing on the 3D model of the target precision part, calculate the normal vector of each face in the 3D model, and obtain the curvature data of each face of the target precision part; The surface of the target precision part is partitioned based on the curvature data, and partition data of the curvature information of the target precision part processing area is generated based on the difference area and the surface partition.

9. The high-precision machining process optimization system for special-shaped microstructure parts according to claim 7, characterized in that: Generating preliminary processing data through partitioning data and optimizing the processing data of preset precision part design information based on the preliminary processing data includes: Generate a machining simulation environment for each machining surface based on the partitioned data and obtain a simulation path for each machining surface; Obtain the machining residual value of the simulation path of the machining surface, and mark the simulation path with the smallest machining residual value as the final path; Complete the simulation processing results of the target precision part based on the final simulation path of all processing surfaces, and determine the preliminary processing data based on the geometric parameters of the target precision part; Obtaining the machining paths of all machining surfaces in the preliminary machining data and the machining data of the preset precision part design information and numbering them respectively; Obtain the residual value of the corresponding machining surfaces after machining using the corresponding machining paths to determine the residual value index; ； Where ECI represents the residual index, Ekm represents the residual value of the machined surface numbered m, δ represents the correction coefficient, m represents the machined surface numbered m, and N represents the total number of machined surfaces. The comparison result of the residual value index of the processing data based on the preliminary processing data and the preset precision part design information determines whether the processing path needs to be optimized.

10. The high-precision machining process optimization system for special-shaped microstructure parts according to claim 7, characterized in that: Before the precision parts processing module completes processing of the workpiece to be processed based on the optimized processing data, it also includes determining the required processing amount of the workpiece to be processed based on the geometric information of the workpiece to be processed and the geometric information of the target precision part, and determining whether the optimized processing data meets the processing requirements based on the required processing amount; If so, the machining operation is performed; If not, the processing data is fine-tuned and then the processing operation is performed.

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