Microstructure cutter cutting modeling method and system based on preorder preparation process

Abstract

The invention discloses a microstructure cutter cutting modeling method and system based on a preorder preparation process, and the method comprises the steps: building microstructure features in a manner of carrying out ultrasonic ploughing machining on a first workpiece geometric model for solving the problems of a current microstructure cutter cutting simulation modeling method; the microstructure features are integrated into the complete cutter model to obtain the precise complete microstructure cutter model, so that the problem of low simulation precision caused by model simplification or inaccurate surface topography acquisition in the cutting simulation of the microstructure cutter is effectively solved. Meanwhile, factors such as the real roughness of the surface of the microstructure tool and the complexity of the geometrical shape are considered, the interaction between the microstructure surface and the workpiece is accurately simulated, the design and machining parameters of the microstructure tool can be optimized, the machining error is reduced, and the machining quality and efficiency are improved.

Description

Technical Field

[0001] This invention belongs to the field of machining and simulation technology, specifically relating to a microstructure tool cutting modeling method and system based on a preceding fabrication process. Background Technology

[0002] In the field of modern machining, microstructured cutting tools, due to their unique surface morphology, can significantly improve cutting performance, such as reducing cutting forces and improving the quality of machined surfaces, and are widely used in industries such as precision machining and micro / nano manufacturing. However, there are currently many problems in the cutting simulation modeling of microstructured cutting tools.

[0003] Currently, many scholars are using dynamic simulation to study microstructured cutting tools. In the invention patent titled "Microstructure Design Method and System Based on Suppressing Derivative Cutting Mechanism" (patent number CN202311227134.2), microstructured cutting tools are modeled and simulated to simulate the cutting process and optimize their structural dimensions. This evaluates the effectiveness of the microstructure in resisting derivative cutting and determines the optimal geometric dimensions of the microstructure, providing a theoretical basis for the fabrication of microstructured cutting tools that suppress derivative cutting. In the invention patent titled "A Biomimetic Design Method for a Depth Gradient Variation Microstructure Turning Tool" (patent number CN201810481164.9), finite element simulations are performed on microstructured cutting tools with different texture parameters simulating the "crescent-shaped depression" morphology of bamboo rat incisors. The optimal texture parameters for this microstructured cutting tool are determined, preserving the characteristic of texture reducing cutting force while improving the structural strength of the tool. This approach has the advantages of extending tool life and increasing the economic value of the tool.

[0004] Existing simulation modeling methods for microstructured cutting tools mostly employ simplified geometric models to simulate the tool's microstructured surface. While these simplified models can reflect the basic cutting characteristics of microstructured tools to some extent, they cannot accurately simulate the interaction between the microstructured surface and the workpiece during actual machining due to significant differences from the actual tool's microstructured surface morphology. Furthermore, limitations in the means and technologies for obtaining microstructured surface morphology make it difficult to efficiently and accurately apply the actual microstructured surface morphology to the cutting simulation model. This results in significant deviations between simulation results and actual machining conditions, failing to meet the needs for in-depth research and optimization design of the cutting performance of microstructured tools.

[0005] Therefore, there is an urgent need for a modeling method that can obtain more realistic surface morphology of tool microstructures and apply it to cutting simulation, so as to improve the accuracy of cutting simulation of microstructure tools and provide a more reliable theoretical basis for the design and machining of microstructure tools. Summary of the Invention

[0006] The purpose of this invention is to provide a method and system for modeling microstructure cutting tools based on a preceding fabrication process.

[0007] In a first aspect, the present invention provides a method for modeling the cutting of microstructured cutting tools based on a preceding fabrication process, the method comprising:

[0008] Construct a tool geometry model and a first workpiece geometry model; perform ultrasonic plowing on the first workpiece geometry model using the tool geometry model, and use the first workpiece geometry model after ultrasonic plowing as a microstructure feature; preprocess the microstructure feature;

[0009] A complete tool model is constructed, and the pre-processed microstructure features are integrated into the complete tool model to obtain a complete microstructure tool model. A second workpiece geometry model is constructed to simulate the workpiece being machined. The complete microstructure tool model is used to machine the second workpiece geometry model, thereby realizing the cutting modeling of the workpiece by the microstructure tool.

[0010] Preferably, during the machining process, the material parameters of the first workpiece geometric model are the thermophysical properties and constitutive model of the cutting tool; the material parameters of the cutting tool geometric model are the thermophysical properties of the cutting tool; the material parameters of the second workpiece geometric model are the thermophysical properties and constitutive model of the workpiece being machined; and the material parameters of the complete microstructure cutting tool model are the thermophysical properties of the cutting tool.

[0011] As a preferred option, before machining the second workpiece geometric model, the complete microstructure tool model is meshed. The specific process is as follows: after automatically meshing the complete microstructure tool model, the mesh is refined using manual meshing.

[0012] Preferably, the preprocessing method is as follows: performing facet inspection on the microstructure features and automatically repairing the entire microstructure features when errors are found; and performing surface shrinkage on the microstructure features.

[0013] Preferably, after surface shrinkage, the number of facets of the microstructure features is reduced, and the microstructure features are locally smoothed.

[0014] Preferably, the first workpiece geometric model is a local entity with microstructures machined on the rake face of the tool, and its size is determined according to the actual ultrasonic plowing machining dimensions.

[0015] As a preferred method, the simulation machining process of the tool model on the workpiece model is as follows: constructing geometric models of the workpiece and the tool; setting the material parameters of the workpiece and the tool; meshing the geometric models and setting the contact and boundary conditions between the geometric models; performing numerical iterative calculations on the constructed geometric models to complete the simulation machining of the workpiece model by the tool model.

[0016] Secondly, the present invention provides a microstructure tool cutting modeling system based on a pre-processing technology, which is used to execute the above-mentioned microstructure tool cutting modeling method; the microstructure tool cutting modeling system includes a microstructure feature construction module, a preprocessing module, a fusion module, and a cutting simulation module; the microstructure feature construction module is used to simulate the ultrasonic plowing process to construct microstructure features; the preprocessing module is used to preprocess the microstructure features and transmit the preprocessed microstructure features to the fusion module to fuse them with the complete tool model to obtain a complete microstructure tool model; the cutting simulation module is used to simulate the machining process of the complete microstructure tool on the workpiece.

[0017] Thirdly, the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the memory stores the computer program; and the processor executes the above-described microstructure tool cutting modeling method.

[0018] Fourthly, the present invention provides a readable storage medium storing a computer program; when the computer program is executed by a processor, it is used to implement the above-described microstructure tool cutting modeling method.

[0019] The beneficial effects of this invention are:

[0020] 1. This invention constructs microstructure features by performing ultrasonic plowing on the geometric model of the first workpiece and integrates the microstructure features into the complete tool model. This can efficiently and accurately apply the actual microstructure surface morphology to the cutting simulation model, reducing the deviation between the simulation results and the actual machining situation.

[0021] 2. This invention, by accurately simulating the machining process of microstructures, can obtain more precise microstructure geometry and accurately simulate the interaction between the complex surface of the tool microstructure and the workpiece during cutting. This achieves high-precision modeling of microstructure tool cutting simulation, improving the accuracy and reliability of the simulation. At the same time, this invention can help to explore the intrinsic relationship between microstructure machining parameters and microstructure morphology and performance. This not only helps to reveal the physical mechanism of microstructure formation, but also provides a scientific basis for optimizing microstructure design and machining processes. Attached Figure Description

[0022] Figure 1 This is the overall flowchart of the present invention.

[0023] Figure 2 These are comparative images of the plow-like morphology of the microstructure of this invention.

[0024] Figure 3 This is a simulation diagram of the microstructure tool cutting process according to the present invention.

[0025] Figure 4This is a comparison chart of cutting forces.

[0026] Figure 5 This is a comparison chart of cutting temperatures. Detailed Implementation

[0027] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings, taking the cutting simulation of GH4169 nickel-based superalloy by an M42 high-speed steel microstructure tool as an example. 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 skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] A microstructure tool cutting modeling method based on a pre-processing fabrication process is disclosed. The microstructure tool cutting modeling system includes a microstructure feature construction module, a preprocessing module, a fusion module, and a cutting simulation module. The microstructure feature construction module simulates the ultrasonic plowing process to construct microstructure features. The preprocessing module preprocesses the microstructure features. The fusion module fuses the microstructure features with the complete tool model to obtain a complete microstructure tool model. The cutting simulation module simulates the machining process of the complete microstructure tool on the workpiece.

[0029] like Figure 1 As shown, this microstructure tool cutting modeling method includes the following steps:

[0030] Step 1: Constructing Microstructural Features

[0031] The ABAQUS finite element simulation software was used to construct a microstructure machining model of the tool surface for ultrasonic plowing, and the machining simulation was performed. The specific process is as follows:

[0032] 1-1. Construct the first workpiece geometric model and tool geometric model

[0033] In ABAQUS software, a cuboid-shaped first workpiece geometry model is created. This model represents a local entity on the tool rake face where microstructures are machined, and its size is determined based on the actual ultrasonic ploughing dimensions. The tool geometry model is the tool used for micromachining the surface microstructures, and it is precisely constructed based on the actual dimensions of the tool tip. The first workpiece geometry model and the tool geometry model are then assembled and positioned according to the actual positional relationship of the ultrasonic ploughing.

[0034] 1-2. Set material parameters

[0035] Material parameters include workpiece material parameters and tool material parameters. Workpiece material parameters consist of the thermophysical properties and constitutive model of the microstructured tool, while tool material parameters only require the tool's thermophysical properties. In this embodiment, length is selected in mm as the unit, and all subsequent measurements use the same dimension. The material of the first workpiece geometric model is M42 high-speed steel; the material of the tool geometric model is diamond. The material parameters of the first workpiece geometric model and the tool geometric model are shown in Table 1.

[0036] Table 1 Material Parameters

[0037]

[0038] The stress-strain relationship of the first workpiece's geometric model is described using the JC constitutive model, as shown in the following equation:

[0039]

[0040] in, The rheological stress of the material obtained from the JC constitutive equation; In response to the situation; For strain rate; For reference strain rate; The actual temperature of the workpiece; For reference temperature; The melting temperature of the material; These are constitutive parameters.

[0041] The specific parameters of the JC constitutive model of the first workpiece geometric model are shown in Table 2.

[0042] Table 2 JC constitutive model parameters of the first workpiece geometric model

[0043]

[0044] 1-3. Set up the analysis step

[0045] The analysis step is a temperature-displacement, explicit dynamic analysis step. The corresponding field output variables and frame number are set as needed. Since the simulation model only focuses on the surface morphology of ultrasonic ploughing, the STATUS output must be enabled in the field output; other output quantities can be freely set.

[0046] 1-4. Mesh Generation and Contact Settings

[0047] The first workpiece geometry model is divided into machined and unmachined areas using a solid meshing tool. The machined area uses a fine mesh, while the unmachined area uses a coarse mesh. Both the first workpiece geometry model and the tool geometry model are assigned a hexahedral mesh as the primary mesh type, and the mesh element type is specified as C3D8RT. The element deletion function is enabled for the mesh elements of the first workpiece geometry model. The Coulomb friction model is used to define the friction characteristics between the tool and the workpiece, with a friction coefficient set to 0.2. A face-to-face contact pair is established between the tool surface and the workpiece machining area, and the contact characteristics are calculated using a motion contact algorithm.

[0048] 1-5. Boundary Condition Setting

[0049] The bottom and side surfaces of the first workpiece geometric model are subject to six degrees of freedom of complete fixed constraints. A constant X-axis velocity boundary condition is set for the diamond tool to feed to the workpiece. The initial temperatures of the workpiece and the tool are set according to the actual ambient temperature.

[0050] In this embodiment, the transverse ultrasonic vibration of the tool is achieved by setting the periodic amplitude. The method is as follows: set the periodic amplitude curve according to the ultrasonic vibration frequency and amplitude and save it as Amp. Set the Y-axis velocity of the tool to a constant value of 1 and assign it an Amp amplitude.

[0051] 1-6. Submit Solution

[0052] The simulation model is submitted to the simulation software solver for calculation. The first workpiece geometric model after ultrasonic plowing simulation is obtained as the microstructure feature of the tool surface, and the microstructure feature is exported as an odb format file.

[0053] Step 2: Preprocessing

[0054] The microstructure features obtained from the simulation are exported and subjected to geometric preprocessing and format conversion. The specific process is as follows:

[0055] 2-1. Microstructure entity file format conversion

[0056] In ABAQUS software, open the .odb file from step one. When exporting the .obj / .stl file, simply select the last frame of the first workpiece geometry model. In ANSYS Workbench software, create a geometry model module, import the exported .obj / .stl file, and open it via SpaceClaim.

[0057] 2-2. Geometric preprocessing of microstructural features

[0058] Perform a geometric check on the microstructural features, using the repair toolbar to check the facets. If errors are found, automatically repair the entire microstructural feature. Then, use the shrink geometry function to shrink the surface of the entire microstructural feature. When performing the shrink geometry operation, be sure to check "Preserve Original Geometry" to facilitate readjustment of the shrinkage size and achieve the desired geometric appearance. The desired geometric appearance refers to removing most of the sharp edges and corners caused by mesh distortion, while maintaining the macroscopic geometry and key dimensional features. If the surface appearance after shrinkage still does not achieve the desired effect, use the facet reduction function to reduce the number of facets in the model and perform local smoothing to address any difficult-to-remove distorted mesh sharp corners.

[0059] 2-3. Microstructure feature format conversion and export

[0060] Since the imported obj / stl model is a patch model, that is, a surface model that only contains surface layers, after the model is smoothed and simplified, the autoskin function of the spaceclaim module is used to select the entire model, convert the existing patch geometry model surface into a solid model, and export the solid model as an stp / x_t format file.

[0061] Step 3: Construct a complete microstructure tool model

[0062] The preprocessed microstructural features are integrated into the complete tool model, i.e., the stp / x_t file exported in step two is imported into the 3D modeling software SolidWorks. Based on the actual microstructural tool parameters, the microstructural features are integrated into the complete tool geometry model using the modeling functions of the 3D modeling software, thus constructing a complete microstructural tool model. In the complete microstructural tool model, all macroscopic geometric features other than the microstructures are considered idealized features; that is, apart from the microstructural features exported in step two, the complete tool model is built in the 3D modeling software.

[0063] Step 4: Mesh Processing

[0064] Due to the complexity of the microstructure features on the tool surface, it is necessary to import the complete microstructure tool model into the professional mesh processing software Hypermesh, generate a high-quality mesh, and export the mesh components corresponding to the finite element simulation software. The specific process is as follows:

[0065] The complete microstructure tool model was imported into the professional meshing software Hypermesh for mesh generation. When importing the complete microstructure tool model into Hypermesh, it is important to select the ABAQUS software interface. For the complex surface features of the microstructure in this embodiment, a combination of "automatic mesh generation" and "manual mesh adjustment" was used for mesh generation. First, "automatic mesh generation" was used to create a relatively coarse hexahedral mesh for the tool. Next, "manual mesh generation" was used to refine the mesh. For areas close to the tool tip and the microstructure surface, the mesh size was manually refined to accurately capture the geometric features of the microstructure. Finally, the mesh quality was rigorously checked to ensure that the mesh size, shape, and distortion met the simulation requirements. After mesh generation, the model was exported in a mesh component format recognizable by ABAQUS software.

[0066] Step 5: Establish a cutting simulation model

[0067] 5-1. Constructing the geometric model

[0068] In ABAQUS software, the meshed complete microstructure tool model is imported using the "File - Import Model" tool. A cuboid second workpiece geometric model (GH4169) is then created in the finite element simulation software. In the assembly module, the second workpiece geometric model and the complete microstructure tool model are assembled and positioned according to the actual cutting parameters.

[0069] 5-2. Setting material parameters

[0070] Material parameters include workpiece material parameters and tool material parameters. The workpiece material parameters are the thermophysical properties and constitutive model of GH4169, while the tool material parameters only require the thermophysical properties of M42 high-speed steel. The material parameters of the workpiece and tool in this embodiment are shown in Table 3.

[0071] Table 3 Material Parameters

[0072] physical parameters <![CDATA[Density / (t / mm 3 )]]> Young's modulus (MPa) Poisson's ratio <![CDATA[Conductivity / (W·m -1 °C -1 )]]> <![CDATA[Coefficient of thermal expansion / (°C -1 )]]> <![CDATA[Specific heat capacity / (MJ·t -1 ·°C -1 ) <!-- 5 -->]]> M42 8.1e-9 2.3e6 0.23 20 1.23e-5 4.9e8 GH4169 8.28e-9 2.05e6 0.303 13.4 1.18e-5 4.7e8

[0073] The stress-strain relationship of the workpiece is described using the JC constitutive model and the JC damage criterion, as shown in the following equations:

[0074]

[0075]

[0076] in, The rheological stress obtained from the JC constitutive equation; In response to the situation; For strain rate; For reference strain rate; For reference temperature; The melting temperature of the material; Constituent parameters; Indicates stress triaxiality, ; For spherical stress, For Mises equivalent stress; These are damage parameters.

[0077] The JC constitutive model and damage parameters of the workpiece are shown in Tables 4 and 5.

[0078] Table 4 JC Constitutive Parameters of the Workpiece

[0079] A / MPa B / MPa n C m / ℃ <![CDATA[T0 / ℃]]> 485 904 0.777 0.015 1.689 0.001 1800 25

[0080] Table 5 JC damage parameters of the workpiece

[0081] <![CDATA[D1]]> <![CDATA[D2]]> <![CDATA[D3]]> <![CDATA[D4]]> <![CDATA[D5]]> 0.04 0.75 -1.45 0.04 0.89

[0082] 5-3. Setting the Analysis Step

[0083] The analysis step in this embodiment is temperature-displacement, an explicit dynamic analysis step, which requires setting the corresponding field output variables and frame number as needed. The field output definition defines stress, strain, displacement, temperature, contact stress, and STATUS status output. In the historical output, cutting force output is established based on the tool stress conditions during the cutting process.

[0084] 5-4. Mesh Generation and Contact Settings

[0085] The second workpiece geometry model is divided into cutting and non-cutting regions. A fine mesh is used in the cutting region, while a coarse mesh is used in the non-cutting region. A hexahedral mesh-based meshing method is assigned to the second workpiece geometry model, and the mesh element type is specified as C3D8RT. The element deletion function must be enabled for the mesh elements of the second workpiece geometry model. Simultaneously, the tool's mesh elements must be specified as thermocoupled elements. The Coulomb friction model is used to define the friction characteristics between the tool and the workpiece, with a friction coefficient set to 0.4. A face-to-face contact pair is established between the tool surface and the workpiece machining area, and a motion contact algorithm is used to define the contact characteristics during the cutting process. The tool is set as a rigid body, which reduces computation time and ensures the accuracy of the calculation results.

[0086] 5-5 Setting Boundary Conditions

[0087] The bottom and side surfaces of the second workpiece geometry model are subject to six degrees of freedom of complete fixed constraints. A constant X-axis velocity boundary condition is set for the microstructure tool to feed into the second workpiece geometry model. Based on the actual cutting environment, the ambient temperature is set as the initial temperature of all mesh nodes of the second workpiece geometry model and the complete microstructure tool model.

[0088] Submit the solution in 5-6

[0089] The simulation model is submitted to the simulation software solver for calculation, simulating the machining process of the workpiece by the complete microstructure tool, and realizing accurate modeling of the cutting of the microstructure tool.

[0090] Step Six: Experimental Verification

[0091] To further verify the effectiveness and accuracy of the proposed method for precise cutting of microstructured tools based on pre-fabrication processes, the simulation results of this invention, the simulation results of traditional simulation models, and the cutting experiment results were compared and analyzed. The results are as follows: Figure 2 As shown.

[0092] Using the finishing of part S as the verification object, a 10mm end mill was used in the actual machining process. Cutting parameters of 3mm depth of cut, 0.1mm width of cut, 70m / min cutting speed, and 0.04mm feed per tooth were input into the above-mentioned simulated cutting process, and the results were as follows: Figure 3 The diagram shown illustrates the prediction of cutting results.

[0093] Next, the accuracy of the above simulation modeling method is verified using the orthogonal cutting experiment. The experiment and simulation model use the same cutting parameters and environmental conditions, and the specific cutting parameters are shown in Table 6. In this embodiment, three microstructure tools with different size parameters were designed for testing, and the specific size distribution of the microstructure on the surface of the three tools is shown in Table 7.

[0094] Table 6 Specific working conditions of orthogonal cutting experiment

[0095] Cutting speed (mm / min) Depth of cut / mm Cutting width / mm Cooling conditions Ambient temperature / °C 1200 0.05 8 dry cutting 25

[0096] Table 7 Specific parameters of the microstructure of the tool rake face

[0097] Serial Number Microstructure width / μm Microstructure depth / μm Tool tip spacing / μm Microstructure types 1 50 10 50 Groove texture 2 50 10 60 Groove texture 3 50 10 70 Groove texture

[0098] Orthogonal cutting experiments, traditional microstructure cutting simulations, and the cutting simulations of the microstructure cutting tools of this invention were conducted on three types of microstructure cutting tools. Figure 4 and Figure 5 The comparison between cutting force and maximum cutting temperature for the three types of microstructures is shown respectively.

[0099] The comparative results show that, compared to the traditional simplified model that ignores the true surface morphology, the simulation model constructed based on the actual preceding fabrication process in this invention significantly improves the accuracy of the predicted cutting force and cutting temperature. This result fully demonstrates that the method of this invention, by introducing more realistic and accurate microstructure geometric features, can significantly improve the accuracy and reliability of predicting the cutting mechanical behavior and thermo-mechanical coupling field of microstructured tools. Figure 4 As shown, for three different microstructure tools with varying parameters, the cutting force values ​​calculated by the traditional simplified model have an error range of 14.4%-17.3% compared to the actual experimental values. In contrast, the simulation model constructed using the method of this invention calculates the cutting force values ​​with an error range of 8.7%-10.3% compared to the experimental measurements. Figure 5 As shown, compared with the experimental cutting temperature, the error range of the traditional simplified model is between 14.4% and 10.2%, while the error range of the simulation model constructed by the method of this invention is between 6.5% and 9.0%. Compared with the traditional simulation method, the microstructure cutting precision modeling method based on the preceding fabrication process proposed in this invention has higher accuracy and reliability in predicting cutting force and cutting temperature, proving that by introducing real microstructure morphology, this invention can more accurately calculate the mechanical behavior of the tool-workpiece contact interface.

[0100] This method also enables accurate prediction and evaluation of the wear performance of microstructured cutting tools. The manufacturing process and precision of microstructures are crucial factors affecting the wear resistance of microstructured tool surfaces, with different manufacturing processes resulting in significantly different performance characteristics. However, current simulation methods only provide simplified modeling of microstructured tools and cannot predict the impact of microstructure manufacturing processes on tool wear resistance. Related research is primarily conducted experimentally, which is time-consuming, labor-intensive, and costly. Applying this simulation method to predict the impact of microstructure manufacturing processes on tool wear resistance will significantly reduce costs and time. Specifically, after completing the first-level surface microstructure machining simulation, the true geometric morphology of the microstructure surface and the distribution of machining-induced residual stress are fully preserved as the initial conditions for the cutting simulation. Subsequently, a tool wear simulation model is established in the second-level cutting simulation to simulate the tool's wear behavior during the cutting process. Through this cascade simulation from microstructure manufacturing to tool cutting, the wear resistance of the microstructure surface can be accurately quantified.

[0101] Furthermore, the method of this invention can also be extended to virtual testing of the tribological properties of functional surfaces. In this application scenario, the first-level simulation simulates the microstructure processing of the sample surface to obtain a microstructured surface containing realistic geometric features. Then, the second-level simulation converts the working conditions into a tribological test model, loading the realistic microstructured surface obtained in the first level for contact friction analysis. This application can efficiently simulate tribological behavior under different loads and speeds, and accurately predict tribological properties.

Claims

1. A method for modeling the cutting of microstructured cutting tools based on a preceding fabrication process, characterized in that: The method includes: Construct a tool geometry model and a first workpiece geometry model; perform ultrasonic plowing on the first workpiece geometry model using the tool geometry model, and use the first workpiece geometry model after ultrasonic plowing as a microstructure feature; preprocess the microstructure feature; A complete tool model is constructed, and the pre-processed microstructure features are integrated into the complete tool model to obtain a complete microstructure tool model. A second workpiece geometry model is constructed to simulate the workpiece being machined. The complete microstructure tool model is used to machine the second workpiece geometry model, thereby realizing the cutting modeling of the workpiece by the microstructure tool.

2. The microstructure tool cutting modeling method based on a preceding fabrication process according to claim 1, characterized in that: During the machining process, the material parameters of the first workpiece geometric model are the thermophysical properties and constitutive model of the tool; the material parameters of the tool geometric model are the thermophysical properties of the tool; the material parameters of the second workpiece geometric model are the thermophysical properties and constitutive model of the workpiece being machined; and the material parameters of the complete microstructure tool model are the thermophysical properties of the tool.

3. The microstructure tool cutting modeling method based on a preceding fabrication process according to claim 1, characterized in that: Before machining the second workpiece geometric model, the complete microstructure tool model is meshed. The specific process is as follows: after automatic mesh generation of the complete microstructure tool model, manual mesh generation is used to refine the mesh.

4. The microstructure tool cutting modeling method based on a preceding fabrication process according to claim 1, characterized in that: The preprocessing method is as follows: facet inspection of microstructural features, automatic repair of the entire microstructural feature when errors exist; and surface shrinkage of microstructural features.

5. The microstructure tool cutting modeling method based on a preceding fabrication process according to claim 4, characterized in that: After surface shrinkage, the number of facets of the microstructure features is reduced, and the microstructure features are locally smoothed.

6. The microstructure tool cutting modeling method based on a preceding fabrication process according to claim 1, characterized in that: The first workpiece geometric model is a local entity with microstructures machined on the rake face of the tool, and its size is determined according to the actual ultrasonic plowing machining dimensions.

7. The microstructure tool cutting modeling method based on a preceding fabrication process according to claim 1, characterized in that: The simulation machining process of the tool model on the workpiece model is as follows: construct the geometric models of the workpiece and the tool; set the material parameters of the workpiece and the tool; mesh the geometric models and set the contact and boundary conditions between the geometric models; perform numerical iterative calculations on the constructed geometric models to complete the simulation machining of the workpiece model by the tool model.

8. A microstructure tool cutting modeling system based on a preceding fabrication process, characterized in that: This system is used to perform a microstructure tool cutting modeling method based on a pre-processing technology as described in claim 1. The microstructure tool cutting modeling system includes a microstructure feature construction module, a preprocessing module, a fusion module, and a cutting simulation module. The microstructure feature construction module is used to simulate an ultrasonic plowing process to construct microstructure features. The preprocessing module is used to preprocess the microstructure features and transmit the preprocessed microstructure features to the fusion module for fusion with a complete tool model to obtain a complete microstructure tool model. The cutting simulation module is used to simulate the machining process of the complete microstructure tool on the workpiece.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: The memory stores a computer program; the processor executes a microstructure tool cutting modeling method based on a preceding fabrication process as described in any one of claims 1-7.

10. A readable storage medium storing a computer program; characterized in that: When the computer program is executed by the processor, it is used to implement a microstructure tool cutting modeling method based on a preceding fabrication process as described in any one of claims 1-7.

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