Ceramic matrix composite energy field auxiliary machining tool optimization method

Abstract

The invention discloses a ceramic-based composite material energy field auxiliary machining tool optimization method, and relates to the technical field of ceramic-based composite material precision machining.The method comprises the steps that a high-frequency vibration energy field is selected, a tool and a ceramic-based composite material workpiece are periodically separated under the action of the high-frequency vibration energy field, and then on the basis of the energy field vibration characteristic and the workpiece machining requirement, the high-frequency vibration energy field is selected; the method comprises the following steps: establishing an association matching relation, an adaptive track and an action rule of a tool and high-frequency vibration energy field parameters, then determining the matching relation, and sequentially optimizing a tool material, geometry and diamond abrasive particles, modeling simulation, multi-objective optimization and a gradient composite coating to complete multi-dimensional optimization of the tool. And finally, the service life, the cutting force and the workpiece surface quality of the optimized cutter are detected through a cutting experiment. According to the scheme, multiple abrasive particle shapes and different arrangement modes are introduced, the performance of the tool is optimized, the cutting efficiency of the tool in the ceramic matrix composite machining process is improved, and the service life of the tool in the ceramic matrix composite machining process is prolonged.

Description

Technical Field

[0001] This invention relates to the field of precision machining technology for ceramic matrix composites, and more specifically to a method for optimizing machining tools for ceramic matrix composites using energy field-assisted machining. Background Technology

[0002] Ceramic matrix composites have important applications in aerospace and automotive manufacturing due to their excellent high-temperature resistance and wear resistance. However, the hard and brittle nature of ceramic matrix composites poses a significant challenge to their machining. Traditional cemented carbide tools are insufficient to meet the demands of high-efficiency machining, and may even become unusable due to tool wear during processing. Although diamond tools have high wear resistance and can improve machining efficiency to some extent, their performance is still affected by the shape and arrangement of abrasive grains.

[0003] Existing technology, such as the invention patent application with publication number CN120170141A, discloses a milling cutter for machining ceramic matrix composites. The cutting edge includes a wave-shaped cutting edge and a toothed cutting edge, located on different blades and alternately arranged. The wave-shaped cutting edge has a sinusoidal waveform, periodically arranged along the milling cutter's axial direction. The toothed cutting edge has chip-breaking grooves periodically spaced along the milling cutter's axial direction, with the chip-breaking grooves corresponding to the peaks and troughs of the sinusoidal waveform. The wave-shaped cutting edge of this invention, being a sinusoidal waveform, increases the cutting edge length, reduces the load per unit length, effectively reduces machining cutting force, accelerates heat dissipation, and reduces vibration and deformation. The chip-breaking grooves of the toothed cutting edge segment the toothed cutting edge, optimizing the cutting force distribution while facilitating chip removal and heat dissipation, preventing chip accumulation in the cutting area. During machining, discontinuous parts cut by the toothed cutting edge are processed by the peaks or troughs of the wave-shaped cutting edge, resulting in a long tool life.

[0004] As can be seen from the above solutions, in the existing technology for precision machining of ceramic matrix composites, the diamond abrasive grains used for cutting tools have obvious limitations in shape selection, mostly concentrated in two traditional types: conical or truncated pyramid. Moreover, in terms of abrasive grain arrangement design, most cutting tools generally adopt a regular arrangement, lacking a diverse design that can adapt to different machining conditions. Due to the uniformity of abrasive grain shape and the limitation of arrangement, the cutting tools are prone to excessive wear during long-term use, resulting in a decrease in cutting efficiency, or even the cutting tools becoming unusable. Summary of the Invention

[0005] To address the aforementioned technical shortcomings, the present invention aims to provide a method for optimizing machining tools using energy fields assisted by ceramic matrix composite materials.

[0006] To solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a method for optimizing the machining tool of ceramic matrix composite material energy field assisted machining, including the following steps: S1: Select a high frequency vibration energy field as the machining auxiliary energy source, and make the tool and the ceramic matrix composite material workpiece form a periodic separation state through the energy field action.

[0007] S2: After completing the energy field selection, based on the vibration characteristics of the selected high-frequency vibration energy field and the processing performance requirements of ceramic matrix composite materials, establish the correlation and matching relationship between tool parameters and high-frequency vibration energy field parameters to adapt to the tool motion trajectory and energy field action law.

[0008] S3: After determining the correlation and matching relationship between tool parameters and high-frequency vibration energy field parameters, tool material optimization, tool geometry parameter and diamond abrasive optimization are carried out in sequence, tool model establishment and simulation analysis are performed, multi-objective optimization and gradient composite coating design are based on simulation results, and tool multi-dimensional optimization is completed.

[0009] S4: After completing the multi-dimensional optimization of the tool, the service life of the optimized tool, the change of cutting force, and the surface quality of the machined workpiece are detected through cutting experiments.

[0010] The beneficial effects of this invention are as follows: 1. This invention provides a method for optimizing cutting tools in ceramic matrix composite material energy field-assisted machining. First, a high-frequency vibration energy field is selected, causing the cutting tool and the ceramic matrix composite workpiece to periodically separate under its influence. Then, based on the vibration characteristics of this energy field and the machining requirements of the workpiece, a correlation and matching relationship between the cutting tool and the parameters of the high-frequency vibration energy field is established, adapting the trajectory and action law. After determining the matching relationship, the cutting tool material, geometry, and diamond abrasive are optimized sequentially. Modeling and simulation are performed, multi-objective optimization is implemented, and gradient composite coating is applied to complete multi-dimensional optimization of the cutting tool. Finally, cutting experiments are conducted to test the lifespan, cutting force, and workpiece surface quality of the optimized cutting tool. This solution optimizes cutting tool performance and improves cutting efficiency and lifespan in the machining of ceramic matrix composite materials by introducing various abrasive grain shapes and different arrangements.

[0011] 2. Improve machining quality: Optimized tool design can reduce vibrations generated during cutting, improve machining accuracy, and improve the surface quality of the machined parts. Attached Figure Description

[0012] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1This is a schematic diagram of the implementation steps of the method of the present invention.

[0014] Figure 2 The figures provided are reference diagrams for the related technologies of the method of this invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0016] See Figure 1 As shown, a method for optimizing a machining tool using a ceramic matrix composite material energy field-assisted machining process includes the following steps: S1: Selecting a high-frequency vibration energy field as the machining auxiliary energy source, and using the energy field to make the tool and the ceramic matrix composite workpiece form a periodic separation state.

[0017] In one specific embodiment, the specific process of S1 is as follows: Based on the characteristics of ceramic matrix composite materials being highly hard and brittle and sensitive to continuous impact, two types of energy fields are compared and eliminated: electrothermal energy field: energy acts on the entire workpiece through the thermal effect of electric current, which cannot be focused on the cutting interface, resulting in heat accumulation in the cutting area and causing material cracking.

[0018] Laser energy field: Energy is concentrated on the workpiece surface, requiring an energy density > 10. 6 Processing requires W / cm², which can easily cause surface melting or carbonization.

[0019] Selecting a high-frequency vibration energy field: Energy is directly transferred to the tool through the vibration component, so that the energy is focused on the tool-workpiece cutting interface, realizing alternating cutting-separation processing without thermal damage, and achieving periodic separation of the tool and workpiece.

[0020] Preferably, the specific process for achieving periodic separation of the tool and the workpiece is as follows: the high-frequency vibration component is integrated and installed with the processing equipment, so that one end of the vibration component is rigidly connected to the machine tool spindle and the other end is precisely coupled to the tool clamping mechanism, the vibration energy is stably transmitted to the tool, and the vibration direction is consistent with the cutting feed direction.

[0021] The vibration frequency and amplitude are finely adjusted. When there is no continuous contact during the cutting process, the chips are smoothly discharged, and the cutting force fluctuation is less than the preset cutting force fluctuation threshold, the vibration frequency matches the tool cutting cycle, and the amplitude forms an effective separation gap between the tool and the workpiece. Professional vibration detection instruments are used to accurately calibrate the actual vibration trajectory of the tool cutting edge to eliminate trajectory deviation.

[0022] After the processing equipment is started, the high-frequency vibration energy field drives the tool to perform high-frequency reciprocating motion, forming a periodic processing mode of alternating cutting and separation, thereby realizing the periodic separation of the tool and the workpiece.

[0023] It should be noted that the preset cutting force fluctuation threshold is used to determine whether the cutting force fluctuation exceeds the required critical value. It is set by professionals according to the processing requirements, and no specific numerical limit is set here.

[0024] S2: After completing the energy field selection, based on the vibration characteristics of the selected high-frequency vibration energy field and the processing performance requirements of ceramic matrix composite materials, establish the correlation and matching relationship between tool parameters and high-frequency vibration energy field parameters to adapt to the tool motion trajectory and energy field action law.

[0025] In one specific embodiment, the specific process of S2 is as follows: after completing the selection of the high-frequency vibration energy field, the core vibration characteristics of the selected high-frequency vibration energy field are first obtained, and the key parameters of the cutting tool are determined according to the processing performance requirements of the ceramic matrix composite material.

[0026] Then, a mapping model between tool parameters and energy field parameters is constructed through multi-factor coupling analysis, and the period and direction of the tool motion trajectory are kept consistent with the period and direction of the high-frequency vibration energy field, so as to establish the correlation and matching relationship between the two.

[0027] It should be noted that the core vibration characteristics are the key properties of the selected high-frequency vibration energy field, including vibration frequency and amplitude.

[0028] Machining performance requirements for ceramic matrix composites: Core objectives set for the precision machining of ceramic matrix composites, including machining accuracy and surface quality.

[0029] Multi-factor coupling analysis method: An analytical method for analyzing the interaction between high-frequency vibration energy field parameters, tool parameters and the processing characteristics of ceramic matrix composites, and quantifying the coupling relationship between various factors.

[0030] Mapping model between tool parameters and energy field parameters: used to quantify the correspondence between key tool parameters and high-frequency vibration energy field parameters.

[0031] S3: After determining the correlation and matching relationship between tool parameters and high-frequency vibration energy field parameters, tool material optimization, tool geometry parameter and diamond abrasive optimization are carried out in sequence, tool model establishment and simulation analysis are performed, multi-objective optimization and gradient composite coating design are based on simulation results, and tool multi-dimensional optimization is completed.

[0032] In one specific embodiment, the specific process of S3 is as follows: after determining the correlation and matching relationship between the tool parameters and the high-frequency vibration energy field parameters, the tool material is optimized by using a modified matrix containing a reinforcing phase, while adjusting the tool geometry parameters and the shape and arrangement of diamond abrasive grains for different cutting requirements.

[0033] The tool and workpiece models were established using ABAQUS software, simulation parameters were set to simulate the energy field effect, and the simulation data was extracted and compared to select the optimal abrasive grain configuration.

[0034] A multi-objective regression model was constructed using multinomial regression, and the optimal abrasive grain configuration was determined using a multi-objective genetic optimization algorithm. Then, a gradient composite coating was designed to complete the multi-dimensional optimization of the tool.

[0035] It should be noted that the modified matrix containing the reinforcing phase is a modified tool matrix structure formed by adding a specific reinforcing phase to the tool matrix material and then using a composite preparation process.

[0036] Tool geometry parameters: core structural parameters that affect the cutting performance of a tool, including rake angle, clearance angle, cutting edge shape, principal cutting edge angle, etc.

[0037] Diamond abrasive grain shape: The geometric shape of diamond abrasive grains, such as conical abrasive grains, polygonal pyramidal abrasive grains, and polygonal frustum abrasive grains.

[0038] Conical abrasive grains: a commonly used diamond abrasive grain shape, suitable for general cutting, but their sharpness may lead to a large concentration of cutting forces, thereby increasing tool wear.

[0039] Polyhedral pyramidal abrasive grains: Compared to conical abrasive grains, triangular pyramidal abrasive grains have more cutting edges, which can effectively disperse cutting forces and reduce wear. This grain shape has a flatter cutting surface, making it suitable for precision cutting, and it also has better self-sharpening and lower cutting resistance.

[0040] Multi-faceted frustum abrasive grains: The frustum shape has a flat cutting surface and sharp edges, which can provide a larger contact area, disperse cutting forces, reduce tool wear, and is particularly suitable for cutting under high load conditions.

[0041] Diamond abrasive grain arrangement: The distribution pattern of diamond abrasive grains on the cutting edge of the tool, such as regular arrangement and staggered arrangement.

[0042] Regular arrangement: The abrasive grains are arranged in a uniform grid to ensure a uniform distribution of cutting force, which is suitable for high-precision machining.

[0043] Staggered arrangement: The abrasive grains are arranged in a staggered manner. This arrangement can reduce the rigid contact between the tool and the material, disperse the cutting force, and reduce wear.

[0044] Misalignment includes misalignment spacing and misalignment angle.

[0045] Misalignment spacing: Defines the minimum distance between abrasive grains to ensure that each abrasive grain has sufficient contact space, thereby avoiding excessive wear.

[0046] Misalignment angle: Set the arrangement angle of the abrasive grains, with an angle deviation between 0° and 45°, to ensure that each abrasive grain can disperse the cutting force and increase cutting stability.

[0047] Preferably, the specific process of adjusting the tool geometry parameters and the shape and arrangement of diamond abrasive grains for different cutting requirements is as follows: first, analyze the processing requirements of ceramic matrix composite materials, and then, in conjunction with the energy field-assisted processing conditions, construct a corresponding mapping relationship between cutting requirements and tool geometry parameters, diamond abrasive grain shape, and arrangement.

[0048] Based on this mapping relationship, the tool rake angle, clearance angle, cutting edge shape, and principal cutting edge angle are optimized in a targeted manner to obtain the adjusted tool geometry parameters; according to the mapping relationship and the adjusted tool geometry parameters, abrasive grain shapes that match different cutting requirements are selected.

[0049] Then, based on the mapping relationship, tool geometry parameters, and abrasive grain shape, determine the arrangement type of regular or staggered arrangement, and complete the parameter adjustment to precisely match the cutting requirements.

[0050] In one specific embodiment, the process of establishing the tool and workpiece model is as follows: based on the designed diamond abrasive grain shape and arrangement, the tool model is constructed using ABAQUS modeling software. The abrasive grain and the tool holder are regarded as a whole and both are set to diamond material, without considering the bonding effect between the two.

[0051] Ceramic matrix composite material was selected as the workpiece, and a material model of the workpiece was constructed based on the processing scenario. The cutting tool and the workpiece were meshed separately, and a fine mesh was used for diamond abrasive grains to ensure simulation accuracy.

[0052] After completing the model geometry construction and mesh processing, an integrated tool-workpiece model is formed that can be used for energy field-assisted machining simulation analysis. By comparing the simulation results of cutting force, wear and surface roughness of different abrasive grain shapes, the abrasive grain shape with the minimum cutting force, the least wear and the best surface roughness during the machining process is selected. Based on the abrasive grain shape, the influence of different arrangement methods is simulated to obtain the corresponding cutting force, wear and surface roughness simulation results. Then, multi-objective optimization is performed based on the simulation results.

[0053] It should be noted that the abrasive grains and the tool holder are considered as a single unit: a simplification rule in the modeling process, which ignores the physical connection structure between the abrasive grains and the tool holder and merges them into a single structural unit.

[0054] Mesh generation: The core preprocessing step in finite element simulation, which involves discretizing the digital models of the tool and workpiece into several tiny units.

[0055] Tool-workpiece integrated model: After completing the geometry construction and mesh processing, a unified simulation model is formed by integrating the tool model and the workpiece model.

[0056] Preferably, the specific process of multi-objective optimization based on simulation results is as follows: first, extract cutting force, tool wear and workpiece surface roughness data from the tool and workpiece machining simulation results.

[0057] A multinomial regression method was adopted, with abrasive grain arrangement parameters and abrasive grain shape parameters as input variables and extracted key performance indicators as output variables, to establish a multi-objective regression model and quantify the mapping relationship between input parameters and tool machining performance.

[0058] A multi-objective genetic optimization algorithm was selected as the optimization tool, and the optimization objectives were set as follows: minimizing tool wear and workpiece surface roughness.

[0059] By continuously iterating through optimization algorithms, the optimal abrasive grain design configuration is output under given processing conditions.

[0060] Finally, the abrasive grain shape was determined based on simulation analysis, and the optimal abrasive grain arrangement scheme was obtained based on simulation data and optimization algorithms. The shape and arrangement of the abrasive grains of the cutting tool were optimized to realize the optimized design of diamond tools for ultrasonic-assisted machining of ceramic matrix composites.

[0061] It should be noted that the optimal abrasive grain design configuration is the optimal combination of parameters for abrasive grain shape, spacing, and misalignment angle determined through iterative multi-objective genetic optimization algorithm.

[0062] S4: After completing the multi-dimensional optimization of the tool, the service life of the optimized tool, the change of cutting force, and the surface quality of the machined workpiece are detected through cutting experiments.

[0063] In one specific embodiment, the specific process of S4 is as follows: after completing the multi-dimensional optimization of the tool, the optimized tool is used to perform ceramic matrix composite material cutting under the set experimental conditions; during the processing, the working state of the tool is recorded, and the cutting force change data is collected in real time through a special device; after the processing is completed, the processed workpiece is collected, the tool is stopped, and the cumulative working time of the tool is marked.

[0064] The tools, cutting force data, and workpieces after the experiment were inspected and analyzed respectively: Tool life assessment: The wear degree of the tool edge and the integrity of the coating were inspected, and the effective service life of the tool was determined in combination with the abnormal conditions in the machining process.

[0065] Cutting force analysis: Organize the collected cutting force data, analyze the stability of the cutting force, and effectively reduce the cutting force and tool wear.

[0066] Workpiece surface quality inspection: The roughness of the machined surface of the workpiece is inspected using specialized equipment to improve the surface quality of the workpiece.

[0067] The detected tool life, cutting force characteristics, and workpiece surface quality data are compared with preset thresholds for precision machining of ceramic matrix composites to determine whether optimization or adjustment is needed.

[0068] It should be noted that the preset thresholds include the tool life preset threshold, the cutting force stability preset threshold, and the workpiece surface roughness preset threshold.

[0069] The tool life preset threshold is a critical value used to determine whether the tool life is qualified. It is set by professionals according to the processing requirements, and no specific numerical limit is set here.

[0070] The preset threshold for cutting force stability is a critical value used to determine whether the cutting force stability is qualified. It is set by professionals according to the processing requirements, and no specific numerical limit is set here.

[0071] The preset threshold for workpiece surface roughness is a critical value used to determine whether the workpiece surface roughness is qualified. It is set by professionals according to processing requirements, and no specific numerical limit is set here.

[0072] Preferably, the specific process for determining whether optimization is needed is as follows: the detected tool life, cutting force characteristics, and workpiece surface quality data are compared with preset thresholds for precision machining of ceramic matrix composite materials. If all indicators are greater than the preset thresholds, the optimization is deemed effective, and the current tool design and energy field parameter matching scheme can be directly used for actual machining. If at least one is less than the preset threshold, the optimization is deemed not to fully meet the requirements, and further adjustments to the optimization scheme are needed.

[0073] The examples described in this invention are not limited to the specific embodiments listed above. The examples are merely illustrative to facilitate understanding of the invention and do not constitute a limitation on the scope of protection of this invention. Any modifications, equivalent substitutions, etc., made within the spirit and principles of this invention should be included within the scope of protection.

[0074] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A method for optimizing cutting tools for energy field-assisted machining of ceramic matrix composite materials, characterized in that, Includes the following steps: S1: Select a high-frequency vibration energy field as the auxiliary energy source for machining, and use the energy field to make the tool and the ceramic matrix composite workpiece form a periodic separation state; S2: After completing the energy field selection, based on the vibration characteristics of the selected high-frequency vibration energy field and the processing performance requirements of ceramic matrix composite materials, establish the correlation and matching relationship between tool parameters and high-frequency vibration energy field parameters to adapt to the tool motion trajectory and energy field action law. S3: After determining the correlation and matching relationship between tool parameters and high-frequency vibration energy field parameters, tool material optimization, tool geometry parameter and diamond abrasive optimization are carried out in sequence, tool model establishment and simulation analysis are performed, multi-objective optimization and gradient composite coating design are based on simulation results, and tool multi-dimensional optimization is completed. S4: After completing the multi-dimensional optimization of the tool, the service life of the optimized tool, the change of cutting force, and the surface quality of the machined workpiece are detected through cutting experiments.

2. The method for optimizing ceramic matrix composite energy field-assisted machining tools according to claim 1, characterized in that, The specific process of S1 is as follows: Based on the characteristics of ceramic matrix composites—high hardness and brittleness, and sensitivity to sustained impact—two types of energy fields were excluded by comparison: Electrothermal energy field: Energy acts on the entire workpiece through the thermal effect of electric current, but cannot be focused on the cutting interface, resulting in heat accumulation in the cutting area and causing material cracking; Laser energy field: Energy is concentrated on the workpiece surface, requiring an energy density > 10. 6 Processing requires W / cm², which can easily cause surface melting or carbonization. Selecting a high-frequency vibration energy field: Energy is directly transferred to the tool through the vibration component, so that the energy is focused on the tool-workpiece cutting interface, realizing alternating cutting-separation processing without thermal damage, and achieving periodic separation of the tool and workpiece.

3. The method for optimizing ceramic matrix composite energy field-assisted machining tools according to claim 2, characterized in that, The specific process for achieving periodic separation of the cutting tool and the workpiece is as follows: The high-frequency vibration component is integrated with the processing equipment, so that one end of the vibration component is rigidly connected to the machine tool spindle and the other end is precisely coupled to the tool clamping mechanism. The vibration energy is stably transmitted to the tool, and the vibration direction is consistent with the cutting feed direction. The vibration frequency and amplitude are finely adjusted. When there is no continuous contact during the cutting process, the chips are smoothly discharged, and the cutting force fluctuation is less than the preset cutting force fluctuation threshold, the vibration frequency matches the tool cutting cycle, and the amplitude forms an effective separation gap between the tool and the workpiece. Professional vibration detection instruments are used to accurately calibrate the actual vibration trajectory of the tool cutting edge to eliminate trajectory deviation. After the processing equipment is started, the high-frequency vibration energy field drives the tool to perform high-frequency reciprocating motion, forming a periodic processing mode of alternating cutting and separation, thereby realizing the periodic separation of the tool and the workpiece.

4. The method for optimizing ceramic matrix composite energy field-assisted machining tools according to claim 1, characterized in that, The specific process of S2 is as follows: After completing the selection of the high-frequency vibration energy field, the core vibration characteristics of the selected high-frequency vibration energy field are obtained first, and the key parameters of the cutting tool are determined according to the processing performance requirements of ceramic matrix composite materials. Then, a mapping model between tool parameters and energy field parameters is constructed through multi-factor coupling analysis, and the period and direction of the tool motion trajectory are kept consistent with the period and direction of the high-frequency vibration energy field, so as to establish the correlation and matching relationship between the two.

5. The method for optimizing ceramic matrix composite energy field-assisted machining tools according to claim 1, characterized in that, The specific process of S3 is as follows: After determining the correlation and matching relationship between tool parameters and high-frequency vibration energy field parameters, the tool material is optimized by using a modified matrix containing reinforcing phase, while the tool geometry parameters and the shape and arrangement of diamond abrasive grains for different cutting requirements are adjusted. The tool and workpiece models were established using ABAQUS software, simulation parameters were set to simulate the energy field effect, and the optimal abrasive grain configuration was selected by extracting and comparing simulation data. A multi-objective regression model was constructed using multinomial regression, and the optimal abrasive grain configuration was determined using a multi-objective genetic optimization algorithm. Then, a gradient composite coating was designed to complete the multi-dimensional optimization of the tool.

6. The method for optimizing ceramic matrix composite energy field-assisted machining tools according to claim 5, characterized in that, The specific process of adjusting the tool geometry parameters and the shape and arrangement of diamond abrasive grains for different cutting requirements is as follows: First, we analyze the processing requirements of ceramic matrix composites. Then, combined with the energy field-assisted processing conditions, we construct a corresponding mapping relationship between cutting requirements and tool geometry parameters, diamond abrasive grain shape, and arrangement. Based on this mapping relationship, the tool rake angle, clearance angle, cutting edge shape, and principal cutting edge angle are optimized in a targeted manner to obtain the adjusted tool geometry parameters; according to the mapping relationship and the adjusted tool geometry parameters, abrasive grain shapes that match different cutting requirements are selected. Then, based on the mapping relationship, tool geometry parameters, and abrasive grain shape, determine the arrangement type of regular or staggered arrangement, and complete the parameter adjustment to precisely match the cutting requirements.

7. The method for optimizing ceramic matrix composite energy field-assisted machining tools according to claim 5, characterized in that, The specific process for establishing the tool and workpiece models is as follows: Based on the designed diamond abrasive grain shape and arrangement, the tool model was constructed using ABAQUS modeling software. The abrasive grain and the tool holder were considered as one unit, both set to diamond material, and the bonding effect between the two was not considered. Ceramic matrix composite material was selected as the workpiece, and a material model of the workpiece was constructed based on the processing scenario. Mesh generation was performed on the tool and the workpiece, with fine mesh generation used for diamond abrasive grains to ensure simulation accuracy. After completing the model geometry construction and mesh processing, a tool-workpiece integrated model that can be used for energy field-assisted machining simulation analysis is formed. By comparing the simulation results of cutting force, wear and surface roughness of different abrasive grain shapes, the abrasive grain shape with the minimum cutting force, the least wear and the best surface roughness during the machining process is selected. The influence of different arrangement methods of the abrasive grains was simulated based on the abrasive grain shape, and the corresponding simulation results of cutting force, wear and surface roughness were obtained. Then, multi-objective optimization was performed based on the simulation results.

8. The method for optimizing ceramic matrix composite energy field-assisted machining tools according to claim 7, characterized in that, The specific process of multi-objective optimization based on simulation results is as follows: First, extract the cutting force, tool wear, and workpiece surface roughness data from the simulation results of tool and workpiece machining; A multinomial regression method was adopted, with abrasive grain arrangement parameters and abrasive grain shape parameters as input variables and extracted key performance indicators as output variables, to establish a multi-objective regression model and quantify the mapping relationship between input parameters and tool machining performance. A multi-objective genetic optimization algorithm was selected as the optimization tool, and the optimization objectives were set as follows: minimizing tool wear and workpiece surface roughness. By continuously iterating through optimization algorithms, the optimal abrasive grain design configuration is output under given processing conditions; Finally, the abrasive grain shape was determined based on simulation analysis, and the optimal abrasive grain arrangement scheme was obtained based on simulation data and optimization algorithms. The shape and arrangement of the abrasive grains of the cutting tool were optimized to realize the optimized design of diamond tools for ultrasonic-assisted machining of ceramic matrix composites.

9. The method for optimizing ceramic matrix composite energy field-assisted machining tools according to claim 1, characterized in that, The specific process of S4 is as follows: After completing multi-dimensional optimization of the cutting tool, the optimized tool was used to perform cutting of ceramic matrix composite materials under the set experimental conditions. During the machining process, the working status of the tool was recorded, and cutting force change data was collected in real time through a special device. After the machining was completed, the machined workpiece was collected, the tool was stopped, and the cumulative working time of the tool was marked. The cutting tool, cutting force data, and workpiece were inspected and analyzed after the experiment. Tool life assessment: Inspect the wear of the tool edge and the integrity of the coating, and combine this with abnormal conditions during the machining process to determine the effective service life of the tool. Cutting force analysis: Organize the collected cutting force data, analyze the stability of the cutting force, and effectively reduce the cutting force and tool wear; Workpiece surface quality inspection: Using specialized equipment to inspect the roughness of the machined surface of the workpiece, thereby improving the surface quality of the workpiece; The detected tool life, cutting force characteristics, and workpiece surface quality data are compared with preset thresholds for precision machining of ceramic matrix composites to determine whether optimization or adjustment is needed.

10. The method for optimizing ceramic matrix composite energy field-assisted machining tools according to claim 9, characterized in that, The specific process for determining whether optimization or adjustment is needed is as follows: The obtained data on tool life, cutting force characteristics, and workpiece surface quality are compared with preset thresholds for precision machining of ceramic matrix composites. If all indicators are greater than the preset thresholds, the optimization is deemed effective, and the current tool design and energy field parameter matching scheme can be directly used for actual machining. If at least one indicator is less than the preset threshold, the optimization is deemed not to fully meet the requirements, and the optimization scheme needs to be further adjusted.

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