Method for building fabric digital mechanism model and predicting fabric conformality

Abstract

The invention relates to a prediction method based on fabric digital mechanism model establishment and fabric conformality, which comprises the following steps of: 1, acquiring physical and mechanical structure information of a fabric, and constructing a three-dimensional geometric model of the fabric according to the information; 2, carrying out 1: 1 modeling by utilizing three-dimensional cartographic software, and quantizing and restoring the acquired fabric information into a digital mechanism model; 3, a corresponding stress mode is set up in finite element simulation software, and the fabric is simulated; and 4, entering a finite element simulation software post-processing stage to carry out prediction simulation. And the result is compared with an actual experiment result to verify the effectiveness and feasibility. Meanwhile, potential problems can be found in advance according to simulation results, and corresponding iteration and optimization can be carried out. And 5, acquiring related data about the deformation bending property of the fabric, and performing data analysis. According to the method, the deformation performance of the fabric under different stress modes is predicted by establishing the corresponding digital mechanism model of the stressed fabric and inputting the variable force value and the boundary condition.

Description

Technical Field

[0001] The invention relates to a method for establishing a fabric digital mechanism model and predicting fabric shape retention, and belongs to the field of textile detection and analysis. Background Art

[0002] The study of fabric deformation performance is one of the important topics in the field of textile engineering. The deformation performance of fabric is closely related to its material, structure, processing technology and other factors. The existing experimental methods can only obtain the shape of the fabric after bending, and the data quantification of the fabric deformation performance is not direct, clear and effective enough. The method based on the digital mechanism model of fabric simulates the deformation of the fabric under different force modes to obtain a variety of physical performance parameters of the fabric. At the same time, the deformation performance of the fabric under different thickness, fiber density and other conditions is analyzed to evaluate its durability and comfort in actual use.

[0003] The establishment of a digital mechanism model for fabrics and a prediction method for fabric conformality can provide a scientific basis and technical support for material selection, product design and production processes in textile engineering, further improve the quality and performance of fabrics, and meet people's growing needs. Therefore, it is necessary to provide an innovative method based on the establishment of a digital mechanism model for fabrics and a prediction method for fabric conformality to overcome the defects in the existing technology. Summary of the invention

[0004] The purpose of the present invention is to provide a method for predicting fabric conformality based on the establishment of a digital mechanism model of fabric. Starting from the physical properties of the fabric, such as raw materials, yarn structure, tissue structure, tensile strength and yield stress, the corresponding digital mechanism model of fabric stress is established, and the changing force value and boundary conditions are input to realize the prediction of the deformation performance of the fabric under different stress modes.

[0005] To achieve the above object, the technical solution adopted by the present invention is: a method for predicting fabric shape retention based on the establishment of a fabric digital mechanism model, which includes the following process steps:

[0006] 1) First, collect the geometric structure and physical properties of the fabric, and build a 3D geometric model of the fabric based on this information. In the model, assign corresponding mechanical properties to each structural unit to simulate the behavior of the fabric under load. This step ensures that the structure and characteristics of the fabric are accurately reflected in the simulation.

[0007] 2) Use 3D mapping software to model the fabric 1:1 and quantify the collected fabric information into a digital mechanism model.

[0008] 3) Build the corresponding force mode in the finite element simulation software to form a digital mechanism quantified force field to simulate the deformation process of the fabric under load. Simulate different force conditions, such as bending, folding, etc., to obtain the state of the fabric under different load conditions. These simulations can help understand the bending, shape retention and other properties of the fabric.

[0009] 4) Enter the post-processing stage of the finite element simulation software for predictive simulation. During the simulation process, the behavior of the fabric under actual stress conditions is predicted according to the conditions set by the model. At the same time, the simulation results are compared with the actual experimental results to verify their feasibility and effectiveness. At the same time, the simulation results can discover potential problems in advance and perform corresponding iterations and optimizations.

[0010] 5) Obtain relevant data on fabric shape retention for data analysis. Conduct in-depth analysis of the simulated data to understand the performance of fabrics under different stress conditions and provide important reference for the optimization of textile production processes and product design.

[0011] The method for predicting fabric shape retention based on fabric digital mechanism modeling of the present invention is further as follows: the mechanical properties of the fabric simulated in step 1) include but are not limited to the breaking strength and elongation, initial modulus, elastic recovery of the fiber, yarn material type, elastic modulus, yield strength, friction between yarns, etc. By accurately describing these properties, the behavior of the fabric under different mechanical conditions can be more accurately simulated.

[0012] The method for predicting fabric conformality based on fabric digital mechanism model establishment and fabric conformality of the present invention is further as follows: in the step 2), 2.1 open SolidWorks software, create a new part, draw a sketch on the display reference plane, use the equation-driven curve, and start drawing the yarn path according to the experimentally measured yarn path and buckling wave height data. 2.2 Draw a yarn contour sketch. 2.3 Similarly, change the direction of the lower curve, use the equation-driven curve on the reference plane in the vertical direction, and also draw a yarn path. 2.4 Similarly, draw a yarn contour sketch in this direction. 2.5 Select the feature scanning command profile, select the yarn section, and select the yarn path for scanning to obtain a three-dimensional yarn. 2.6 Select the linear array to array the yarn in a certain direction. 2.7 Mirror the arrayed yarn along the reference plane to obtain a symmetrical entity, hiding the redundant entities. 2.8 Similarly, the yarn in the other direction first uses the feature scanning command to generate a three-dimensional yarn and then uses the linear array, and also checks the entity selection mirror. The collected fabric information can be quantitatively restored into a digital mechanism model.

[0013] The method for predicting fabric conformality based on the establishment of a fabric digital mechanism model of the present invention is further as follows: in the step 2), if the fabric is directly stacked by fibers, it is necessary to draw the contour curve of a single fiber in a three-dimensional mapping software according to the fiber arrangement. Using a scanning interval array, the single fibers are spaced or randomly arranged along the plane to simulate the plane layer of the fiber mesh structure. Then, the plane layer is three-dimensionally processed using features such as stretching and thickening to give it a certain thickness, and necessary geometric repairs are performed to simulate the fiber mesh structure after molding. The fiber digital mechanism model thus obtained is closer to the simulation structure of the actual fabric and can more accurately reflect the flexibility and deformation characteristics of the fabric.

[0014] The method for predicting fabric conformality based on fabric digital mechanism model establishment and fabric conformality of the present invention is further as follows: in the step 3), 3.1 the yarn digital mechanism model built in SolidWorks software is imported into the finite element simulation software in part mode, and other equipment required for the experiment is created in the part module, and the fabric is further simulated in the finite element analysis environment. 3.2 In the property mode of the finite element simulation software, various properties of the yarn digital mechanism model are assigned to the yarn, and these properties include but are not limited to material type, elastic modulus, yield strength, etc. The setting of these properties will affect the behavior of the yarn in the finite element simulation, thereby affecting the deformation performance of the entire fabric. 3.3 After completing the setting of the yarn properties, in the assembled module, all the created parts are imported and the yarns are assembled into a piece of fabric. It includes arranging, connecting and fixing multiple yarns according to the design requirements to form a complete fabric structure. In the assembly process, it is necessary to consider the interlacing, overlapping and connection methods between the yarns, as well as the overall shape and size of the fabric.

[0015] The method for predicting fabric conformality based on fabric digital mechanism model establishment and fabric conformality of the present invention is further as follows: In the step 3), there are various ways to cause the fabric to deform, taking the three-point beam bending deformation as an example. In the finite element simulation software, the deformation of the fabric is predicted by simulating the bending process of the three-point beam. 3.4 The rigid slender cylinder created in the part module is imported into the assembled module, and the rigid slender cylinder is added on the basis of the assembled fabric, and the cylinder will serve as a support point for applying the load. The position and spacing of these support points should be set according to the actual situation to simulate the force applied to the fabric in actual application. 3.5 Dynamic and explicit analysis steps are set in the step module to simulate the process of applying the load. In this step, parameters such as the size, direction and application time of the load can be set to simulate the bending process of the three-point beam. 3.6 The required contact is set in the interaction module. 3.7 In the load module, boundary conditions are added to limit the range of motion of the fabric during the simulation process. These boundary conditions include fixed boundaries, constrained boundaries, etc. to ensure the accuracy and reliability of the simulation results. 3.8 It is also necessary to divide the mesh in the mesh module to divide the fabric digital mechanism model into small pieces so that the finite element simulation software can perform numerical calculations. In the process of meshing, it is necessary to pay attention to the density and quality of the mesh to ensure the accuracy and stability of the simulation results. 3.9 After completing the pre-processing stage, submit the job in the job module and wait for the finite element simulation software to perform simulation calculations. During the simulation process, the finite element simulation software will simulate the bending behavior of the fabric according to the set parameters and boundary conditions.

[0016] The method for predicting fabric conformality based on fabric digital mechanism model establishment and fabric conformality of the present invention is further as follows: in the step 4), when entering the post-processing stage of the finite element simulation software for predictive simulation, firstly analyze according to the conditions set by the model. These conditions include the load size, direction, application time and boundary conditions applied to the fabric. Through these settings, the behavior of the fabric under actual stress conditions can be simulated. During the simulation process, the finite element simulation software will calculate and analyze various mechanical responses of the fabric according to the set conditions. 4.1 Observe the deformation, stress distribution, displacement and other conditions of the fabric in the visualization module to evaluate the deformation performance of the fabric. 4.2 You can output any data you need, observe the dynamic changes in the animation, compare the simulation results with the actual experimental results, and verify their feasibility and effectiveness. 4.3 Potential problems can be discovered in advance through the simulation results. For example, if the simulation shows that the fabric has excessive deformation or local stress concentration, this may indicate that there is a problem with the design or material selection of the fabric. By timely discovering and analyzing these problems, corresponding iterations and optimizations are performed to improve the deformation performance and overall quality of the fabric.

[0017] The method for predicting fabric shape retention based on fabric digital mechanism model establishment and fabric shape retention of the present invention is further as follows: in the step 5), after obtaining relevant data on the deformation and bending properties of the fabric, in-depth data analysis is performed. First, the simulation results are statistically analyzed, such as calculating the maximum deformation and maximum stress value of the fabric. These data can intuitively reflect the performance of the fabric under different stress conditions. Secondly, the simulation results are visualized and analyzed, and the deformation and stress distribution of the fabric are intuitively observed by drawing deformation diagrams, stress distribution diagrams, etc. These visualized data can help to more intuitively understand the behavioral characteristics of the fabric under different stress conditions. In addition, the simulation data can also be used for parameter analysis and optimization. By changing the parameters in the model, such as material properties, geometric dimensions, etc., the influence of these parameters on the fabric performance is evaluated, thereby optimizing the design and manufacturing process of the fabric. Finally, through in-depth analysis of the simulation data, an important reference is provided for the optimization of textile production process and product design. According to the analysis results, the production process is adjusted and the product design is improved, thereby improving the performance and quality of the fabric to meet the needs of different application scenarios.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] The invention establishes a digital mechanism model of fabric and simulates the deformation behavior of fabric according to actual production conditions during the simulation process, thereby more accurately predicting the deformation performance of fabric.

[0020] Compared with traditional experimental methods, the method of fabric digital mechanism model adopted in this invention can obtain relevant data on fabric deformation performance more quickly and economically. Through in-depth analysis of the simulated data, the performance of fabric under different stress conditions can be understood, providing important reference for textile process optimization and product design. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is an overall flow chart of the method for establishing a fabric digital mechanism model and predicting fabric shape retention according to the present invention.

[0022] Figure 2 It is the fabric digitization mechanism model obtained in step 2 of the present invention.

[0023] Figure 3 It is a prediction diagram of the result after the fabric is subjected to stress obtained in step 3 of the present invention. DETAILED DESCRIPTION

[0024] Please refer to the instruction manual Figure 1 Attached Figure 2 Attached Figure 3As shown in Table 1, the present invention is a method for predicting fabric conformality based on the establishment of a fabric digital mechanism model, which includes the following process steps:

[0025] 1), the simulated fabric has various mechanical properties, including material type, elastic modulus, yield strength, and friction between yarns. Accurate description of these properties can more accurately simulate the response of fabrics under different mechanical conditions.

[0026] 2) In the second step, since the selected fabric is made of multiple warp and weft yarns woven together according to a certain rule. Therefore, when performing 1:1 modeling in the 3D drawing software SolidWorks, the cross-sectional shape and buckling wave height of the yarn must be fully considered. 2.1 Open the SolidWorks software, create a new part, draw a sketch on the display reference plane, use the equation-driven curve, and use the sine or cosine function to simulate the yarn path. 2.2 Draw the yarn contour sketch. The yarn cross section is approximately elliptical, so an elliptical cross section can be drawn. 2.3 Similarly, change the direction of the lower curve, use the equation-driven sine or cosine curve on the vertical reference plane, and also draw a yarn path. 2.4 Draw an elliptical sketch in the same direction. 2.5 Select the feature scanning command contour, select the yarn elliptical cross section, and select the yarn path for scanning to obtain a three-dimensional yarn. 2.6 Select linear array, arrange the yarns in a certain direction, according to the actual fabric size or the proportionally reduced fabric, and arrange the yarns at a certain distance, then array the yarns. 2.7 Mirror the arrayed yarns along the reference plane to obtain a symmetrical entity, hiding the redundant entities. 2.8 Similarly, use the feature scanning command to generate three-dimensional yarns in the other direction, and then use linear array, and also check the entity selection mirror. The collected fabric information can be quantitatively restored to a digital mechanism model.

[0027] 3) In the third step, 3.1 import the yarn digital mechanism model built in SolidWorks software into the finite element simulation software in part mode, and create other equipment required for the experiment in the part module, and further simulate the fabric in the finite element analysis environment. 3.2 In the property mode of the finite element simulation software, assign various properties of the yarn digital mechanism model to the yarn, including but not limited to material type, elastic modulus, yield strength, etc. For example, create a cotton property, set massdensity to 8.5E-011; set an elastic, Young's modulus to 380, and Poisson's ratio to 0.3. 3.3 After completing the setting of yarn properties, in the assembled module, import all created parts and assemble the yarn into a piece of fabric. This includes arranging, connecting and fixing multiple yarns according to design requirements to form a complete fabric structure. During the assembly process, it is necessary to consider the interlacing, overlapping and connection methods between yarns, as well as the overall shape and size of the fabric.

[0028] In the third step, there are many ways to cause the fabric to deform, and one common way is through three-point beam bending. In Abaqus, the deformation of the fabric can be predicted by simulating the three-point beam bending process. 3.4 Import the rigid slender cylinder created in the part module into the assembled module, and add a rigid slender cylinder to the middle section of the assembled fabric. 3.5 Set the dynamic and explicit analysis steps in the step module, set the analysis step length to 0.5, and turn on the large deformation of the collection to simulate the process of applying loads. 3.6 Select all imported parts in the interaction module, set general contact, select all with self, and attach an inprop-1, set tangential behavior, select penalty, and add a friction coefficient of 0.17. At the same time, set a normal behavior and add a "hard" contact. 3.7 In the load module, set all the cross sections on both sides of the fabric as a set, and set the boundary conditions for this set, that is, select set in the boundaryconditionmanager to set ENCASTER U1=U2=U3=UR1=UR2=UR3=0 to limit the range of motion of the fabric during the simulation. At the same time, set an upward displacement of the rigid slender cylinder, so it is necessary to fix all other directions except the U2 direction, set the displacement 2 in the U2 direction, and set an amplitude to make the result converge. 3.8 It is also necessary to divide the mesh in the mesh module. First, the entire fabric is seeded, and the size of 1 / 3 of the default value can be used. Confirm the mesh division and get the C3D8R type mesh. 3.9 After completing the pre-processing stage, submit the job in the job module, select multipleprocess less than 2 computer cores, and keep the normal operation of other computer functions. Finally, wait for the finite element simulation software to perform simulation calculations. During the simulation process, the finite element simulation software will simulate and calculate the bending behavior of the fabric according to the set parameters and boundary conditions.

[0029] 4) When performing a predictive simulation, a detailed analysis is first performed based on the set model conditions. These conditions include the size, direction, application time, and boundary conditions of the load applied to the fabric. Through these settings, the behavior of the fabric under actual stress conditions can be simulated. During the simulation process, ABAQUS will calculate and analyze various mechanical responses of the fabric based on these conditions. Observe the deformation size and stress distribution of the fabric to evaluate the deformation performance of the fabric. At the same time, it is necessary to compare the simulation results with the actual experimental results to verify their feasibility and effectiveness. The results of the digital mechanism model simulation of the fabric can detect potential problems in advance. For example, if the simulation shows that the fabric has excessive deformation or local stress concentration, this may indicate that there is a problem with the design or material selection of the fabric. By timely discovering and analyzing these problems, corresponding iterations and optimizations can be carried out to improve the deformation performance and overall quality of the fabric.

[0030] 5) After obtaining relevant data on the deformation and bending properties of the fabric, a detailed data analysis is performed. First, the simulation results are statistically analyzed, such as calculating the maximum deformation and maximum stress value of the fabric. These data can intuitively reflect the performance of the fabric under different stress conditions. Secondly, the simulation results are visualized and analyzed, and the deformation and stress distribution of the fabric are intuitively observed by generating deformation diagrams and stress distribution diagrams. These visual data help to more clearly understand the behavioral characteristics of the fabric under different stress conditions. In addition, the simulation data can also be used for parameter analysis and optimization. By adjusting the parameters in the model, such as material properties and geometric dimensions, the effects of these parameters on the performance of the fabric are evaluated, thereby improving the design and manufacturing process of the fabric. Finally, in-depth analysis of the simulation data provides an important reference for the improvement of textile processes and product design. According to the analysis results, the production process is adjusted and the product design is optimized, thereby improving the performance and quality of the fabric to meet the needs of different application scenarios.

[0031] Table 1 Correlation analysis between fabric three-point bending test and simulation

[0032] Experimental displacement Simulate displacement Experimental bending strength Simulating bending forces Experimental displacement 1 <![CDATA[0.958 ＊＊ ]]> <![CDATA[0.688 ＊ ]]> <![CDATA[0.784 ＊＊ ]]> Simulate displacement <![CDATA[0.958 ＊＊ ]]> 1 <![CDATA[0.870 ＊＊ ]]> <![CDATA[0.868 ＊＊ ]]> Experimental bending strength <![CDATA[0.688 ＊＊ ]]> <![CDATA[0.870 ＊＊ ]]> 1 <![CDATA[0.660 ＊＊ ]]> Simulating bending forces <![CDATA[0.784 ＊＊ ]]> <![CDATA[0.868 ＊＊ ]]> <![CDATA[0.660 ＊ ]]> 1

[0033] **The correlation is significant at the 0.01 level (two-tailed).

[0034] In summary, the method for predicting fabric shape retention based on the fabric digital mechanism model of the present invention starts from the perspectives of fabric raw materials, arrangement mode and physical properties, establishes a fabric digital mechanism model, simulates the deformation process of the fabric under the digital mechanism quantitative force field, and quantitatively expresses and predicts the occurrence of fabric deformation through simulation results and data. The feasibility and effectiveness of the quantitative simulation of the fabric digital mechanism model are verified by comparison with the experimental results. Compared with the real experimental process, the data obtained by the fabric digital mechanism model through simulation can obtain relevant data on fabric deformation performance more quickly and economically and facilitate in-depth analysis, understand the performance of the fabric under different stress conditions, and provide an important reference for the optimization of textile technology and product design.

Claims

1. Establishment of fabric digital mechanism model and prediction method of fabric shape retention, characterized in that: Here are the steps: Step 1: Collect the geometric structure and physical properties of the fabric and build a three-dimensional geometric model of the fabric. In the model, assign corresponding mechanical properties to each structural unit to simulate the behavior of the fabric under load. Step 2: Use 3D mapping software to model the fabric 1:1, and quantify and restore the collected fabric information into a digital mechanism model; The specific operation of step 2 is as follows: 2.1 Open SolidWorks software, create a new part, draw a sketch on the display reference plane, and use equation-driven curves to start drawing the yarn path based on the experimentally measured yarn path and buckling wave height data; 2.2 Draw a sketch of the yarn outline; 2.3 Change the direction of the lower curve, and use the equation-driven curve on the vertical reference plane to draw a yarn path; 2.4 Draw a sketch of the yarn profile in this direction; 2.5 Select the feature scanning command profile, select the yarn section, and select the yarn path for scanning to obtain the three-dimensional yarn; 2.6 Select linear array to arrange the yarn in a certain direction; 2.7 Mirror the yarns of the array along the reference plane to obtain a symmetrical entity and hide the redundant entities; 2.8 For the yarn in the other direction, first use the feature scanning command to generate three-dimensional yarn and then use the linear array, and also check the entity selection mirror; the collected fabric information can be quantitatively restored to a digital mechanism model; Step 3: Build the corresponding force mode in the finite element simulation software to form a digital mechanism quantified force field to simulate the deformation process of the fabric under load; Step 4: Enter the post-processing stage of the finite element simulation software to perform predictive simulation; during the simulation process, the behavior of the fabric under actual stress conditions is predicted according to the conditions set by the model; Step 5: Obtain relevant data on fabric shape retention for data analysis.

2. The method for establishing a fabric digital mechanism model and predicting fabric conformality according to claim 1, characterized in that: The specific operation of step three is as follows: 3.1 Import the yarn digital mechanism model built in SolidWorks software into the finite element simulation software in part mode, create other equipment required for the experiment in the part module, and further simulate the fabric in the finite element analysis environment; 3.2 Assign various properties of the yarn digital mechanism model to the yarn in the property mode of the finite element simulation software, including but not limited to material type, elastic modulus, and yield strength; 3.3 After completing the setting of yarn properties, in the assembled module, import all created parts and assemble the yarn into a piece of fabric; 3.4 Import the rigid slender cylinder created in the part module into the assembled module, and add the rigid slender cylinder to the assembled fabric. The cylinder will serve as a support point for applying load; 3.5 Set dynamic and explicit analysis steps in the step module to simulate the process of applying loads; 3.6 Set the required contacts in the interaction module; 3.7 In the load module, boundary conditions are added to limit the range of motion of the fabric during the simulation; 3.8 Divide the mesh in the mesh module to divide the fabric digital mechanism model into small blocks; 3.9 After completing the pre-processing stage, submit the job in the job module and wait for the finite element simulation software to perform simulation calculations.

3. The method for establishing a fabric digital mechanism model and predicting fabric conformality according to claim 1 or 2, characterized in that: The specific operation of step 4 is as follows: 4.1 Observe the deformation, stress distribution, and displacement of the fabric in the visualization module to evaluate the deformation performance of the fabric; 4.2 Output any required data, observe the dynamic changes in the animation, compare the simulation results with the actual experimental results, and verify their feasibility and effectiveness; 4.3 The simulation results can help identify potential problems in advance.

4. The method for establishing a fabric digital mechanism model and predicting fabric conformality according to claim 1 or 2, characterized in that: In the step 1, the mechanical properties include but are not limited to the breaking strength and elongation, initial modulus, elastic recovery of the fiber, the type of yarn material, elastic modulus, yield strength, and friction between yarns.

5. The method for establishing a fabric digital mechanism model and predicting fabric conformality according to claim 3, characterized in that: In the step 1, the mechanical properties include but are not limited to the breaking strength and elongation, initial modulus, elastic recovery of the fiber, the type of yarn material, elastic modulus, yield strength, and friction between yarns.

6. The method for establishing a fabric digital mechanism model and predicting fabric conformality according to claim 1, 2 or 5, characterized in that: In the second step, if the fabric is made of fibers stacked directly, it is necessary to draw the contour curve of a single fiber in a three-dimensional mapping software according to the fiber arrangement; using a scanning interval array, the single fibers are spaced or randomly arranged along the plane to simulate the plane layer of the fiber mesh structure; then, the stretching and thickening features are used to perform three-dimensional processing on the plane layer to give it thickness, and necessary geometric repairs are performed to simulate the fiber mesh structure after molding.

7. The method for establishing a fabric digital mechanism model and predicting fabric conformality as claimed in claim 3, characterized in that: In the second step, if the fabric is made of fibers stacked directly, it is necessary to draw the contour curve of a single fiber in a three-dimensional mapping software according to the fiber arrangement; using a scanning interval array, the single fibers are spaced or randomly arranged along the plane to simulate the plane layer of the fiber mesh structure; then, the stretching and thickening features are used to perform three-dimensional processing on the plane layer to give it thickness, and necessary geometric repairs are performed to simulate the fiber mesh structure after molding.

8. The method for establishing a fabric digital mechanism model and predicting fabric conformality as claimed in claim 4, characterized in that: In the second step, if the fabric is made of fibers stacked directly, it is necessary to draw the contour curve of a single fiber in a three-dimensional mapping software according to the fiber arrangement; using a scanning interval array, the single fibers are spaced or randomly arranged along the plane to simulate the plane layer of the fiber mesh structure; then, the stretching and thickening features are used to perform three-dimensional processing on the plane layer to give it thickness, and necessary geometric repairs are performed to simulate the fiber mesh structure after molding.

9. The method for establishing a fabric digital mechanism model and predicting fabric conformality according to claim 1, 2 or 5, characterized in that: The specific operations of step 5 are as follows: First, the simulation results are statistically analyzed; Secondly, the simulation results are visualized and analyzed. By drawing deformation diagrams and stress distribution diagrams, the deformation and stress distribution of the fabric can be observed intuitively. Finally, through in-depth analysis of the simulation data, the production process is adjusted according to the analysis results and the product design is improved, thereby improving the performance and quality of the fabric to meet the needs of different application scenarios.

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