A method and system for simulating dynamic deformation of weft-knitted three-dimensional spacer fabrics

Abstract

The present invention relates to the field of deformation simulation technology, and specifically to a method and system for simulating dynamic deformation of a weft-knitted three-dimensional spacer fabric. First, the spacer layer information of the weft-knitted three-dimensional spacer fabric is obtained; secondly, the spacer layer is compressed, and the first spacer layer deformation information and the second spacer layer deformation information of the spacer layer are obtained; thirdly, the compressive comprehensive deformation value is obtained based on the first spacer layer deformation information and the second spacer layer deformation information after each compression, and the dynamic deformation simulation of the spacer layer is performed in combination with the compressive deformation analysis model to obtain the compressive comprehensive deformation curve; finally, the compressive detection result of the spacer layer is obtained based on the compressive comprehensive deformation curve. Through this method, the present invention can not only extract the time series characteristics of the compressive comprehensive deformation value, but also obtain the nonlinear relationship between it and the spacer layer information and the compression information, and then accurately numerically simulate the compressive comprehensive deformation value after subsequent compression.

Description

Technical Field

[0001] The invention relates to the technical field of deformation simulation, and in particular to a method and system for simulating dynamic deformation of a weft-knitted three-dimensional spacer fabric. Background Art

[0002] With the rapid development of textile industry and functional materials, the performance of fabrics in various applications, especially their dynamic deformation characteristics, has attracted more and more attention. As a type of fabric with a unique structure, weft-knitted three-dimensional spacer fabrics are usually composed of an upper surface layer, a lower surface layer and a spacer layer; the spacer layer can not only increase the thickness of the fabric, but also provide a certain buffering effect when subjected to external forces, reducing the transmission of impact force.

[0003] The spacer layer of a weft-knitted three-dimensional spacer fabric may be compressed or deformed under pressure. Understanding this deformation behavior is crucial for evaluating the structural stability and actual service life of the fabric. By repeatedly applying pressure, the degree of deformation of the fabric spacer layer can be observed, and its reliability and durability in long-term use can be predicted. Therefore, it is necessary to simulate the deformation of the spacer layer of a weft-knitted three-dimensional spacer fabric under pressure.

[0004] At present, although the existing deformation simulation methods can realize the deformation simulation of the spacer layer under pressure, they ignore the influence of the various characteristics of the spacer layer's own yarns on the deformation, resulting in low accuracy in the dynamic deformation simulation of the spacer layer of weft-knitted three-dimensional spacer fabrics.

[0005] Therefore, a method and system for simulating dynamic deformation of weft-knitted three-dimensional spacer fabrics are proposed. Summary of the invention

[0006] The object of the present invention is to provide a method and system for simulating the dynamic deformation of a weft-knitted three-dimensional spacer fabric. First, the spacer layer information of the weft-knitted three-dimensional spacer fabric is obtained; secondly, the spacer layer is compressed, and the first spacer layer deformation information and the second spacer layer deformation information of the spacer layer are obtained; thirdly, a comprehensive compressive deformation value is obtained based on the first spacer layer deformation information and the second spacer layer deformation information after each compression, and the dynamic deformation simulation of the spacer layer is performed in combination with a compressive deformation analysis model to obtain a comprehensive compressive deformation curve; finally, the compressive detection result of the spacer layer is obtained based on the comprehensive compressive deformation curve.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A method for simulating dynamic deformation of a weft-knitted three-dimensional spacer fabric, comprising:

[0009] Obtaining spacer layer information of weft-knitted three-dimensional spacer fabric;

[0010] The spacer layer is compressed, and first spacer layer deformation information and second spacer layer deformation information of the spacer layer are obtained; dynamic deformation simulation of the spacer layer is performed according to the first spacer layer deformation information and the second spacer layer deformation information after each compression to obtain a comprehensive compression deformation curve. The specific process includes:

[0011] Obtaining a compressive rebound deformation value of the spacer layer after each compression according to the deformation information of the first spacer layer; obtaining an appearance compressive deformation value of the spacer layer after each compression according to the deformation information of the second spacer layer;

[0012] The comprehensive compressive deformation value of the spacer layer after each compression is obtained according to the compressive rebound deformation value and the appearance compressive deformation value; the calculation formula of the comprehensive compressive deformation value is:

[0013] ;

[0014] in, It is expressed as the comprehensive compressive deformation value after the i-th compression; and They are respectively expressed as the compressive rebound deformation value and the appearance compressive deformation value after the i-th compression; and They are respectively expressed as compressive rebound coefficient and appearance compressive coefficient; It is expressed as an exponential function with a natural constant as base;

[0015] According to the comprehensive compressive deformation value obtained by K compressions, the spacer layer information and the compression information, numerical simulation is performed on the comprehensive compressive deformation value of the spacer layer after compressions from K+1 to K+L times; and according to the numerical simulation results, a comprehensive compressive deformation curve is obtained;

[0016] The compressive test result of the spacer layer is obtained according to the comprehensive compressive deformation curve.

[0017] Furthermore, the spacer layer information includes: the thickness, yarn information and yarn density of the weft-knitted three-dimensional spacer fabric spacer layer; the yarn information includes the material and fineness of the yarn.

[0018] Furthermore, the deformation information of the first spacer layer includes: the initial thickness of each detection point, the first spacer layer thickness and the second spacer layer thickness corresponding to each detection point after each compression; the specific acquisition steps include:

[0019] Select N detection points on the weft-knitted three-dimensional spacer fabric; obtain the initial thickness of the N detection points before compression; repeat compression of the weft-knitted three-dimensional spacer fabric K times, and detect the thickness of the first spacer layer and the thickness of the second spacer layer corresponding to each point to be detected after each compression; the process of each compression includes:

[0020] Applying pressure to the weft-knitted three-dimensional spacer fabric, wherein the pressure is a set first pressure value; After the pressure is released, the pressure is released; when the pressure is released, the thickness of the first spacer layer at each point to be tested is detected ... After that, the thickness of the second spacer layer at each point to be detected is obtained.

[0021] Furthermore, the deformation information of the second spacer layer includes: initial yarn appearance features of each spacer layer yarn and test yarn appearance features corresponding to each spacer layer yarn after each compression; both the initial yarn appearance features and the test yarn appearance features include yarn breakage identification results and yarn head and tail lengths; the yarn head and tail lengths are the projection lengths of the line segments connecting the head and tail of the spacer layer yarns in the vertical direction; the process of acquiring the yarn appearance features includes:

[0022] Select M spacer layer yarns from the side of the spacer layer; obtain the spacer layer yarn when not compressed and each time the pressure is released The invention relates to a method for preparing a yarn image after the yarn image is spun; inputting the yarn image into a spacer layer yarn image recognition model to obtain the yarn appearance features corresponding to the yarn image; the spacer layer yarn image recognition model comprises a spacer layer yarn image input unit, a spacer layer yarn image feature extraction unit, a spacer layer yarn image feature fusion unit, a spacer layer yarn recognition unit and a yarn appearance feature output unit; the spacer layer yarn image feature extraction unit is used to extract multiple yarn feature graphs of the yarn image; the spacer layer yarn image feature fusion unit is used to obtain the yarn contour based on feature fusion of the yarn feature graph; the spacer layer yarn recognition unit is used to obtain the yarn breakage recognition result and the yarn head and tail length according to the yarn contour; the yarn breakage recognition result comprises yarn breakage and yarn non-breakage.

[0023] Further, the numerical simulation of the comprehensive compressive deformation value of the interval layer after the K+1th to K+Lth compressions based on the comprehensive compressive deformation value, compression information and the interval layer information obtained by K compressions includes: inputting the comprehensive compressive deformation value, compression information and the interval layer information obtained by K compressions into the compressive deformation analysis model to obtain the comprehensive compressive deformation value corresponding to the K+1th compression; the compression information includes the pressure applied and the force application time of each compression; the compressive deformation analysis model includes a time series deformation prediction layer, a multivariate regression deformation prediction layer and a comprehensive compressive deformation value output layer;

[0024] The comprehensive compressive deformation value corresponding to the K+1th compression is combined with the comprehensive compressive deformation value obtained after the Kth compression, the compression information and the interval layer information and re-inputted into the compressive deformation analysis model to obtain the comprehensive compressive deformation value corresponding to the K+2th compression; and so on, to obtain the comprehensive compressive deformation values ​​of the interval layer after the K+1th to K+Lth compressions.

[0025] Furthermore, the process of obtaining the comprehensive compressive deformation value corresponding to the K+1th compression includes:

[0026] The comprehensive compression deformation value obtained by applying pressure for K times is input into the time series deformation prediction layer to obtain the first comprehensive compression deformation value corresponding to the K+1th compression; the comprehensive compression deformation value, the interval layer information and the compression information obtained by applying pressure for K times are input into the multivariate regression prediction layer for nonlinear regression to obtain the second comprehensive compression deformation value corresponding to the K+1th compression;

[0027] The first compression resistance comprehensive deformation value and the second compression resistance comprehensive deformation value are input into the compression resistance comprehensive deformation value output layer for fusion, so as to obtain the compression resistance comprehensive deformation value corresponding to the K+1th compression.

[0028] Furthermore, the comprehensive compression deformation curve includes: taking the comprehensive compression deformation value corresponding to 1 to K+L compressions as the ordinate and the number of compressions as the abscissa to obtain the comprehensive compression deformation curve.

[0029] A dynamic deformation simulation system for weft-knitted three-dimensional spacer fabrics, comprising:

[0030] Spacer layer information acquisition unit: used to acquire the spacer layer information of the weft-knitted three-dimensional spacer fabric;

[0031] A spacer layer deformation information acquisition unit is used to compress the spacer layer and acquire first spacer layer deformation information and second spacer layer deformation information of the spacer layer;

[0032] A unit for acquiring a comprehensive compression deformation curve is used to perform a dynamic deformation simulation on the spacer layer according to the deformation information of the first spacer layer and the deformation information of the second spacer layer after each compression, and acquire a comprehensive compression deformation curve. The specific process includes:

[0033] Obtaining a compressive rebound deformation value of the spacer layer after each compression according to the deformation information of the first spacer layer; obtaining an appearance compressive deformation value of the spacer layer after each compression according to the deformation information of the second spacer layer;

[0034] The comprehensive compressive deformation value of the spacer layer after each compression is obtained according to the compressive rebound deformation value and the appearance compressive deformation value; the calculation formula of the comprehensive compressive deformation value is:

[0035] ;

[0036] in, It is expressed as the comprehensive compressive deformation value after the i-th compression; and They are respectively expressed as the compressive rebound deformation value and the appearance compressive deformation value after the i-th compression; and They are respectively expressed as compressive rebound coefficient and appearance compressive coefficient; It is expressed as an exponential function with a natural constant as base;

[0037] According to the comprehensive compressive deformation value obtained by K compressions, the spacer layer information and the compression information, numerical simulation is performed on the comprehensive compressive deformation value of the spacer layer after compressions from K+1 to K+L times; and according to the numerical simulation results, a comprehensive compressive deformation curve is obtained;

[0038] A compression test result acquisition unit is used to acquire the compression test result of the spacer layer according to the compression comprehensive deformation curve.

[0039] Furthermore, the spacer layer information includes: the thickness, yarn information and yarn density of the weft-knitted three-dimensional spacer fabric spacer layer; the yarn information includes the material and fineness of the yarn.

[0040] Furthermore, the deformation information of the first spacer layer includes: the initial thickness of each detection point, the first spacer layer thickness and the second spacer layer thickness corresponding to each detection point after each compression; the specific acquisition steps include:

[0041] Select N detection points on the weft-knitted three-dimensional spacer fabric; obtain the initial thickness of the N detection points before compression; repeat compression of the weft-knitted three-dimensional spacer fabric K times, and detect the thickness of the first spacer layer and the thickness of the second spacer layer corresponding to each point to be detected after each compression; the process of each compression includes:

[0042] Applying pressure to the weft-knitted three-dimensional spacer fabric, wherein the pressure is a set first pressure value; After the pressure is released, the pressure is released; when the pressure is released, the thickness of the first spacer layer at each point to be tested is detected ... After that, the thickness of the second spacer layer at each point to be detected is obtained.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. The present invention selects multiple points to be detected on the weft-knitted three-dimensional spacer fabric, and obtains the deformation information of the first spacer layer according to the thickness change of each point to be detected after each compression; obtains the compressive rebound deformation value of the spacer layer according to the thickness change of different points to be detected in the deformation information of the first spacer layer. This method can comprehensively analyze the rebound changes of multiple points to be detected after pressure is applied, and then accurately evaluate the rebound performance of the spacer layer after being compressed, providing a data basis for subsequent dynamic deformation simulation.

[0045] 2. The present invention applies pressure to the weft-knitted three-dimensional spacer fabric, and detects the yarn of the spacer layer of the weft-knitted three-dimensional spacer fabric after each pressure is applied to obtain deformation information of the second spacer layer; and obtains the appearance compressive deformation value based on the second spacer layer information. This method can extract the fracture characteristics and contour deformation of the spacer layer yarn, and then accurately evaluate the appearance deformation of the spacer layer, providing a data basis for subsequent dynamic deformation simulation.

[0046] 3. The present invention obtains the comprehensive compressive deformation value of the interval layer after each compression by combining the compressive rebound deformation value and the appearance compressive deformation value of the interval layer. This method can accurately obtain the comprehensive compressive deformation value of the interval layer based on the various characteristics of the interval layer after being compressed, providing a data basis for subsequent dynamic deformation simulation, thereby improving the accuracy of the compressive test results.

[0047] 4. The present invention numerically simulates the comprehensive compressive deformation value after subsequent compression through a compressive deformation analysis model based on the acquired spacing layer information, compression information and the comprehensive compressive deformation value after each compression. The compressive deformation analysis model can not only extract the temporal characteristics of the comprehensive compressive deformation value after each compression, but also obtain the nonlinear relationship between the comprehensive compressive deformation value, spacing layer information and compression information, and then accurately simulate the comprehensive compressive deformation value after subsequent compression, thereby improving the accuracy of the compressive test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A flow chart of a method for simulating dynamic deformation of a weft-knitted three-dimensional spacer fabric provided by an embodiment of the present invention;

[0049] Figure 2 A structural diagram of a dynamic deformation simulation system for weft-knitted three-dimensional spacer fabrics provided by an embodiment of the present invention;

[0050] Figure 3 A schematic diagram of the structure of a weft-knitted three-dimensional spacer fabric provided by an embodiment of the present invention;

[0051] Figure 4 A schematic diagram of the structure of a spacer layer yarn image recognition model provided in an embodiment of the present invention.

[0052] In the figure: 1, upper surface layer; 2, lower surface layer; 3, spacer layer. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] See also Figure 1 The present invention provides a method for simulating dynamic deformation of a weft-knitted three-dimensional spacer fabric. The method is applied to a system for simulating dynamic deformation of a weft-knitted three-dimensional spacer fabric. For a specific method flow chart and system structure chart, refer to Figure 1 and Figure 2 .

[0055] Embodiment 1

[0056] Reference Figure 1 S10 in the figure is applied to a spacing layer information acquisition unit of a weft-knitted three-dimensional spacing fabric dynamic deformation simulation system.

[0057] Furthermore, this embodiment obtains a weft-knitted three-dimensional spacer fabric A, referring to Figure 3 The weft-knitted three-dimensional spacer fabric includes an upper surface layer 1, a lower surface layer 2 and a spacer layer 3; the present embodiment obtains the spacer layer information of the weft-knitted three-dimensional spacer fabric A; the spacer layer information includes: the thickness of the spacer layer of the weft-knitted three-dimensional spacer fabric, the yarn information and the yarn density; the yarn density refers to the average number of yarns used to connect the upper surface layer and the lower surface layer of the weft-knitted three-dimensional spacer fabric per unit area; the yarn information includes the material and fineness of the yarn; the unit of the yarn fineness is Denier, represented by D; the spacer layer thickness is the thickness of the weft-knitted three-dimensional spacer fabric when it is not compressed; refer to Table 1 for details.

[0058] Table 1 Spacer layer information of weft-knitted three-dimensional spacer fabric A

[0059]

[0060] This step of the present embodiment obtains the spacer layer information of the weft-knitted three-dimensional spacer fabric. This method can obtain the yarn characteristics of the spacer layer, providing a data basis for the subsequent prediction of the comprehensive compressive deformation value, thereby realizing accurate dynamic deformation simulation of the spacer layer of the weft-knitted three-dimensional spacer fabric.

[0061] Reference Figure 1 S20 in the figure is applied to a spacing layer deformation information acquisition unit of a weft-knitted three-dimensional spacing fabric dynamic deformation simulation system.

[0062] Furthermore, the deformation information of the first spacer layer includes: the initial thickness of each detection point, the first spacer layer thickness and the second spacer layer thickness corresponding to each detection point after each compression; the specific acquisition steps include:

[0063] Select N detection points on the weft-knitted three-dimensional spacer fabric; obtain the initial thickness of the N detection points before compression; repeat compression of the weft-knitted three-dimensional spacer fabric K times, and detect the thickness of the first spacer layer and the thickness of the second spacer layer corresponding to each point to be detected after each compression; the process of each compression includes:

[0064] Applying pressure to the weft-knitted three-dimensional spacer fabric, wherein the pressure is a set first pressure value; After the pressure is released, the pressure is released; when the pressure is released, the thickness of the first spacer layer at each point to be tested is detected ... After that, the thickness of the second spacer layer at each point to be detected is obtained.

[0065] In this step of the present embodiment, multiple points to be tested are selected on the weft-knitted three-dimensional spacer fabric, and the deformation information of the first spacer layer is obtained based on the thickness change of each point to be tested after each compression; this method can obtain the rebound changes of multiple points to be tested after pressure is applied, and then accurately evaluate the rebound performance of the spacer layer after compression, providing a data basis for subsequent dynamic deformation simulation.

[0066] Furthermore, the deformation information of the second spacer layer includes: initial yarn appearance features of each spacer layer yarn and test yarn appearance features corresponding to each spacer layer yarn after each compression; both the initial yarn appearance features and the test yarn appearance features include yarn breakage identification results and yarn head and tail lengths; the yarn head and tail lengths are the projection lengths of the line segments connecting the head and tail of the spacer layer yarns in the vertical direction; the process of acquiring the yarn appearance features includes:

[0067] Select M spacer layer yarns from the side of the spacer layer; obtain the spacer layer yarn when not compressed and each time the pressure is released The yarn image after the time; the yarn image is input into the spacer layer yarn image recognition model to obtain the yarn appearance characteristics corresponding to the yarn image; refer to Figure 4The spacer layer yarn image recognition model includes a spacer layer yarn image input unit, a spacer layer yarn image feature extraction unit, a spacer layer yarn image feature fusion unit, a spacer layer yarn recognition unit and a yarn appearance feature output unit; the spacer layer yarn image feature extraction unit is used to extract multiple yarn feature maps of the yarn image; the spacer layer yarn image feature fusion unit is used to obtain the yarn contour based on feature fusion of the yarn feature map; the spacer layer yarn recognition unit is used to obtain the yarn breakage recognition result and the yarn head and tail length according to the yarn contour; the yarn breakage recognition result includes yarn breakage and yarn non-breakage.

[0068] In this step of the present embodiment, pressure is applied to the weft-knitted three-dimensional spacer fabric, and the yarn of the spacer layer of the weft-knitted three-dimensional spacer fabric is detected after each pressure is applied to obtain deformation information of the second spacer layer. This method can extract the fracture characteristics and contour deformation of the spacer layer yarn, thereby accurately evaluating the appearance deformation of the spacer layer and providing a data basis for subsequent dynamic deformation simulation.

[0069] Reference Figure 1 S30 in the invention is applied to a compressive comprehensive deformation curve acquisition unit of a dynamic deformation simulation system of a weft-knitted three-dimensional spacer fabric.

[0070] Further, the compressive resilience deformation value of the spacer layer after each compression is obtained according to the deformation information of the first spacer layer; the appearance compressive deformation value of the spacer layer after each compression is obtained according to the deformation information of the second spacer layer;

[0071] The calculation formula of the compressive rebound deformation value is:

[0072] ;

[0073] in, It is expressed as the compressive rebound deformation value after the i-th compression; and They respectively represent the thickness of the first spacer layer and the thickness of the second spacer layer of the jth point to be detected obtained by the i-th compression; the value of j ranges from 1 to N; N represents the number of detection points selected on the weft-knitted three-dimensional spacer fabric; It is expressed as the initial thickness of the jth point to be tested; and They are expressed as compressive strength coefficient and rebound coefficient respectively; and The default value is 0.5, which can be changed according to the actual application;

[0074] The calculation formula of the appearance compressive deformation value is:

[0075] ;

[0076] in, It is expressed as the apparent compressive deformation value after the i-th compression; represents the number of spacer layer yarns whose yarn breakage identification result obtained by the i-th compression is yarn breakage; M represents the number of spacer layer yarns selected from the side of the spacer layer; It means that the p-th yarn breakage identification result obtained by the i-th compression is the length of the beginning and end of the unbroken yarn; Expressed as The length of the beginning and the end of the corresponding yarn in the initial yarn appearance characteristics; and They are expressed as the fracture coefficient and length coefficient respectively; and The default value is 0.5, which can be changed according to the actual application;

[0077] The comprehensive compressive deformation value of the spacer layer after each compression is obtained according to the compressive rebound deformation value and the appearance compressive deformation value; the calculation formula of the comprehensive compressive deformation value is:

[0078] ;

[0079] in, It is expressed as the comprehensive compressive deformation value after the i-th compression; and They are respectively expressed as the compressive rebound deformation value and the appearance compressive deformation value after the i-th compression; and They are respectively expressed as compressive rebound coefficient and appearance compressive coefficient; and The default value is 0.5, which can be changed according to the actual application; It is expressed as an exponential function with natural constant as base; the larger the comprehensive compressive deformation value, the better.

[0080] This step of the present embodiment comprehensively obtains the comprehensive compressive deformation value of the interval layer after each compression by combining the compressive rebound deformation value and the appearance compressive deformation value of the interval layer. This method can accurately obtain the comprehensive compressive deformation value of the interval layer based on the various characteristics of the interval layer after being compressed, thereby providing a data basis for subsequent dynamic deformation simulation, and thus improving the accuracy of the compressive test results.

[0081] Furthermore, based on the comprehensive compressive deformation value obtained after K compressions, the spacer layer information and the compression information, a numerical simulation is performed on the comprehensive compressive deformation value of the spacer layer after compression from K+1 to K+L times; based on the numerical simulation results, a comprehensive compressive deformation curve is obtained.

[0082] Further, the numerical simulation of the comprehensive compressive deformation value of the interval layer after the K+1th to K+Lth compressions based on the comprehensive compressive deformation value, compression information and the interval layer information obtained by K compressions includes: inputting the comprehensive compressive deformation value, compression information and the interval layer information obtained by K compressions into the compressive deformation analysis model to obtain the comprehensive compressive deformation value corresponding to the K+1th compression; the compression information includes the pressure applied and the force application time of each compression; the compressive deformation analysis model includes a time series deformation prediction layer, a multivariate regression deformation prediction layer and a comprehensive compressive deformation value output layer;

[0083] The comprehensive compressive deformation value corresponding to the K+1th compression is combined with the comprehensive compressive deformation value obtained after the Kth compression, the compression information and the interval layer information and re-inputted into the compressive deformation analysis model to obtain the comprehensive compressive deformation value corresponding to the K+2th compression; and so on, to obtain the comprehensive compressive deformation values ​​of the interval layer after the K+1th to K+Lth compressions.

[0084] This step of the present embodiment is based on the acquired interval layer information, compression information and the comprehensive compressive deformation value after each compression, and the comprehensive compressive deformation value after subsequent compression is numerically simulated through the compressive deformation analysis model, and the predicted result is re-input into the model to predict the comprehensive compressive deformation value after the next compression. This method can flexibly and accurately realize multi-step prediction of the comprehensive compressive deformation value.

[0085] Furthermore, the process of obtaining the comprehensive compressive deformation value corresponding to the K+1th compression includes:

[0086] The comprehensive compression deformation value obtained by applying pressure for K times is input into the time series deformation prediction layer to obtain the first comprehensive compression deformation value corresponding to the K+1th compression; the comprehensive compression deformation value obtained by applying pressure for K times, the interval layer information and the compression information are input into the multivariate regression prediction layer for nonlinear regression to obtain the second comprehensive compression deformation value corresponding to the K+1th compression; the steps of performing nonlinear regression in the multivariate regression prediction layer include:

[0087] According to the yarn information in the spacing layer information, the physical properties corresponding to the yarn information in the yarn database are obtained; the yarn database is collected in advance; the physical properties include elastic modulus and yield strength; the compressive comprehensive deformation value obtained by applying pressure for the Kth time, the compression information, the thickness of the spacing layer of the weft-knitted three-dimensional spacing fabric in the spacing layer information, the yarn density and the corresponding physical properties are used as independent variables for nonlinear regression to obtain the second compressive comprehensive deformation value corresponding to the K+1th compression;

[0088] The first compression resistance comprehensive deformation value and the second compression resistance comprehensive deformation value are input into the compression resistance comprehensive deformation value output layer for fusion, so as to obtain the compression resistance comprehensive deformation value corresponding to the K+1th compression; the fusion may adopt weighted fusion.

[0089] In this embodiment, the time series deformation prediction layer selects the LSTM model for prediction; the multivariate regression prediction layer uses the support vector machine for nonlinear regression prediction; both the LSTM model and the support vector machine are pre-trained with historical data.

[0090] In order to verify the effectiveness of the compression deformation analysis model provided in this embodiment, this embodiment collected 5 weft-knitted three-dimensional spacing fabrics with different spacing layer information, and the spacing layers were compressed repeatedly 180 times; the compression information of a single weft-knitted three-dimensional spacing fabric was the same for each repeated compression; the compression information of different weft-knitted three-dimensional spacing fabrics was not exactly the same for each repeated compression. Based on the comprehensive compression deformation value obtained from 180 repeated compressions and the corresponding spacing layer information and compression information, the compression deformation analysis model was used to perform numerical simulation of the comprehensive compression deformation values ​​corresponding to the 181st to 350th compressions; the comprehensive compression deformation values ​​simulated from 15 compressions were randomly selected from the 181st to 350th compressions; the spacing layers continued to be compressed repeatedly to obtain the real comprehensive compression deformation values ​​corresponding to the 15 compressions; the average error between the simulated comprehensive compression deformation values ​​from 15 compressions and the real comprehensive compression deformation values ​​was calculated; the calculation formula for the average error is:

[0091] ;

[0092] in, It is expressed as the average error corresponding to the e-th weft-knitted three-dimensional spacer fabric; the value of e ranges from 1 to 5; The comprehensive compressive deformation value of the rth compression simulation among 15 randomly selected compression simulations of the eth weft-knitted three-dimensional spacer fabric; Expressed as The corresponding real compressive comprehensive deformation value.

[0093] This embodiment also uses two other models to perform numerical simulation on the comprehensive compressive deformation values ​​corresponding to the 181st to 350th compressions, and calculates the average error. For specific comparison, refer to Table 2.

[0094] Table 2 Example 1 Compression deformation analysis model verification table

[0095]

[0096] Method 1 in Table 2 uses the compressive deformation analysis model of this embodiment for numerical simulation; Method 2 uses the autoregressive sliding average model for numerical simulation; Method 3 uses random forest for numerical simulation. It can be seen from Table 2 that the method provided in this embodiment can more accurately simulate the deformation of the spacer layer of the weft-knitted three-dimensional spacer fabric after repeated compression.

[0097] This step in the present embodiment can not only extract the time series characteristics of the comprehensive compressive deformation value after each compression through the compressive deformation analysis model, but also obtain the nonlinear relationship between the comprehensive compressive deformation value, the interval layer information and the compression information, and then accurately perform numerical simulation of the comprehensive compressive deformation value after subsequent compression, thereby improving the accuracy of the compressive test results.

[0098] Furthermore, the comprehensive compression deformation curve includes: taking the comprehensive compression deformation value corresponding to 1 to K+L compressions as the ordinate and the number of compressions as the abscissa to obtain the comprehensive compression deformation curve.

[0099] In this step of the present embodiment, the comprehensive compressive deformation curve is obtained based on the comprehensive compressive deformation value, and the comprehensive compressive deformation curve can intuitively show the dynamic deformation of the spacer layer after repeated compression.

[0100] Reference Figure 1 S40 in the invention is applied to a compression test result acquisition unit of a dynamic deformation simulation system of a weft-knitted three-dimensional spacer fabric.

[0101] Furthermore, based on the comprehensive compressive deformation curve, the number of compressions corresponding to the first time that the comprehensive compressive deformation value is less than the set comprehensive compressive deformation threshold is obtained; when the number of compressions is less than the set compression number threshold, the compressive resistance test result of the weft-knitted three-dimensional spacer fabric spacer layer is unqualified; otherwise, the compressive resistance test result of the weft-knitted three-dimensional spacer fabric spacer layer is qualified.

[0102] Embodiment 2

[0103] Reference Figure 1 S10 in the figure is applied to a spacing layer information acquisition unit of a weft-knitted three-dimensional spacing fabric dynamic deformation simulation system.

[0104] Furthermore, this embodiment obtains the spacing layer information of the weft-knitted three-dimensional spacing fabric B; the spacing layer information includes: the thickness of the weft-knitted three-dimensional spacing fabric spacing layer, the yarn information and the yarn density; the yarn density refers to the average number of yarns used to connect the upper surface layer and the lower surface layer of the weft-knitted three-dimensional spacing fabric per unit area; the yarn information includes the material and fineness of the yarn; the unit of the yarn fineness is Denier, represented by D; the spacing layer thickness is the thickness of the weft-knitted three-dimensional spacing fabric when it is not compressed; refer to Table 3 for details.

[0105] Table 3 Spacer layer information of weft-knitted three-dimensional spacer fabric B

[0106]

[0107] Reference Figure 1 S20 in the figure is applied to a spacing layer deformation information acquisition unit of a weft-knitted three-dimensional spacing fabric dynamic deformation simulation system.

[0108] Furthermore, the deformation information of the first spacer layer includes: the initial thickness of each detection point, the first spacer layer thickness and the second spacer layer thickness corresponding to each detection point after each compression; the specific acquisition steps include:

[0109] Select N detection points on the weft-knitted three-dimensional spacer fabric; obtain the initial thickness of the N detection points before compression; repeat compression of the weft-knitted three-dimensional spacer fabric K times, and detect the thickness of the first spacer layer and the thickness of the second spacer layer corresponding to each point to be detected after each compression; the process of each compression includes:

[0110] Applying pressure to the weft-knitted three-dimensional spacer fabric, wherein the pressure is a set first pressure value; After the pressure is released, the pressure is released; when the pressure is released, the thickness of the first spacer layer at each point to be tested is detected ... After that, the thickness of the second spacer layer at each point to be detected is obtained.

[0111] Furthermore, the deformation information of the second spacer layer includes: initial yarn appearance features of each spacer layer yarn and test yarn appearance features corresponding to each spacer layer yarn after each compression; both the initial yarn appearance features and the test yarn appearance features include yarn breakage identification results and yarn head and tail lengths; the yarn head and tail lengths are the projection lengths of the line segments connecting the head and tail of the spacer layer yarns in the vertical direction; the process of acquiring the yarn appearance features includes:

[0112] Select M spacer layer yarns from the side of the spacer layer; obtain the spacer layer yarn when not compressed and each time the pressure is released The invention relates to a method for preparing a yarn image after the yarn image is spun; inputting the yarn image into a spacer layer yarn image recognition model to obtain the yarn appearance features corresponding to the yarn image; the spacer layer yarn image recognition model comprises a spacer layer yarn image input unit, a spacer layer yarn image feature extraction unit, a spacer layer yarn image feature fusion unit, a spacer layer yarn recognition unit and a yarn appearance feature output unit; the spacer layer yarn image feature extraction unit is used to extract multiple yarn feature graphs of the yarn image; the spacer layer yarn image feature fusion unit is used to obtain the yarn contour based on feature fusion of the yarn feature graph; the spacer layer yarn recognition unit is used to obtain the yarn breakage recognition result and the yarn head and tail length according to the yarn contour; the yarn breakage recognition result comprises yarn breakage and yarn non-breakage.

[0113] Reference Figure 1 S30 in the invention is applied to a compressive comprehensive deformation curve acquisition unit of a dynamic deformation simulation system of a weft-knitted three-dimensional spacer fabric.

[0114] Further, the compressive resilience deformation value of the spacer layer after each compression is obtained according to the deformation information of the first spacer layer; the appearance compressive deformation value of the spacer layer after each compression is obtained according to the deformation information of the second spacer layer;

[0115] The calculation formula of the compressive rebound deformation value is:

[0116] ;

[0117] in, It is expressed as the compressive rebound deformation value after the i-th compression; and They respectively represent the first spacer layer thickness and the second spacer layer thickness of the j-th point to be detected obtained for the i-th compression; It is expressed as the initial thickness of the jth point to be tested; and They are expressed as compressive strength coefficient and rebound coefficient respectively; and The default value is 0.5, which can be changed according to the actual application;

[0118] The calculation formula of the appearance compressive deformation value is:

[0119] ;

[0120] in, It is expressed as the apparent compressive deformation value after the i-th compression; It represents the number of yarns in the spacer layer whose yarn breakage identification result obtained by the i-th compression is yarn breakage; It means that the p-th yarn breakage identification result obtained by the i-th compression is the length of the beginning and end of the unbroken yarn; Expressed as The length of the beginning and the end of the corresponding yarn in the initial yarn appearance characteristics; and They are expressed as the fracture coefficient and length coefficient respectively; and The default value is 0.5, which can be changed according to the actual application;

[0121] The comprehensive compressive deformation value of the spacer layer after each compression is obtained according to the compressive rebound deformation value and the appearance compressive deformation value; the calculation formula of the comprehensive compressive deformation value is:

[0122] ;

[0123] in, It is expressed as the comprehensive compressive deformation value after the i-th compression; and They are respectively expressed as the compressive rebound deformation value and the appearance compressive deformation value after the i-th compression; and They are respectively expressed as compressive rebound coefficient and appearance compressive coefficient; and The default value is 0.5, which can be changed according to the actual application; It is expressed as an exponential function with natural constant as base; the larger the comprehensive compressive deformation value, the better.

[0124] Furthermore, based on the comprehensive compressive deformation value obtained after K compressions, the spacer layer information and the compression information, a numerical simulation is performed on the comprehensive compressive deformation value of the spacer layer after compression from K+1 to K+L times; based on the numerical simulation results, a comprehensive compressive deformation curve is obtained.

[0125] Further, the numerical simulation of the comprehensive compressive deformation value of the interval layer after the K+1th to K+Lth compressions based on the comprehensive compressive deformation value, compression information and the interval layer information obtained by K compressions includes: inputting the comprehensive compressive deformation value, compression information and the interval layer information obtained by K compressions into the compressive deformation analysis model to obtain the comprehensive compressive deformation value corresponding to the K+1th compression; the compression information includes the pressure applied and the force application time of each compression; the compressive deformation analysis model includes a time series deformation prediction layer, a multivariate regression deformation prediction layer and a comprehensive compressive deformation value output layer;

[0126] The comprehensive compressive deformation value corresponding to the K+1th compression is combined with the comprehensive compressive deformation value obtained after the Kth compression, the compression information and the interval layer information and re-inputted into the compressive deformation analysis model to obtain the comprehensive compressive deformation value corresponding to the K+2th compression; and so on, to obtain the comprehensive compressive deformation values ​​of the interval layer after the K+1th to K+Lth compressions.

[0127] Furthermore, the process of obtaining the comprehensive compressive deformation value corresponding to the K+1th compression includes:

[0128] The comprehensive compression deformation value obtained by applying pressure for K times is input into the time series deformation prediction layer to obtain the first comprehensive compression deformation value corresponding to the K+1th compression; the comprehensive compression deformation value, the interval layer information and the compression information obtained by applying pressure for K times are input into the multivariate regression prediction layer for nonlinear regression to obtain the second comprehensive compression deformation value corresponding to the K+1th compression;

[0129] The first compression resistance comprehensive deformation value and the second compression resistance comprehensive deformation value are input into the compression resistance comprehensive deformation value output layer for fusion, so as to obtain the compression resistance comprehensive deformation value corresponding to the K+1th compression; the fusion may adopt weighted fusion.

[0130] In this embodiment, the time series deformation prediction layer selects the LSTM model for prediction; the multivariate regression prediction layer uses the support vector machine for nonlinear regression prediction; both the LSTM model and the support vector machine are pre-trained with historical data.

[0131] Furthermore, the comprehensive compression deformation curve includes: taking the comprehensive compression deformation value corresponding to 1 to K+L compressions as the ordinate and the number of compressions as the abscissa to obtain the comprehensive compression deformation curve.

[0132] Reference Figure 1 S40 in the invention is applied to a compression test result acquisition unit of a dynamic deformation simulation system of a weft-knitted three-dimensional spacer fabric.

[0133] Furthermore, based on the comprehensive compressive deformation curve, the number of compressions corresponding to the first time that the comprehensive compressive deformation value is less than the set comprehensive compressive deformation threshold is obtained; when the number of compressions is less than the set compression number threshold, the compressive resistance test result of the weft-knitted three-dimensional spacer fabric spacer layer is unqualified; otherwise, the compressive resistance test result of the weft-knitted three-dimensional spacer fabric spacer layer is qualified.

[0134] In order to verify the effectiveness of the compressive deformation analysis model provided by the present embodiment, the present embodiment collected 45 weft-knitted three-dimensional spacer fabrics with different spacing layer information, and the spacing layers of the weft-knitted three-dimensional spacer fabrics were compressed repeatedly 300 times; the compression information of a single weft-knitted three-dimensional spacer fabric was the same for each repeated compression; the compression information of different weft-knitted three-dimensional spacer fabrics was not exactly the same for each repeated compression; 45 different weft-knitted three-dimensional spacer fabrics were screened according to the comprehensive compressive deformation values ​​obtained after 300 repeated compressions; the weft-knitted three-dimensional spacer fabrics whose comprehensive compressive deformation values ​​obtained after 300 repeated compressions were less than the comprehensive compressive deformation threshold were eliminated; the present embodiment screened 45 weft-knitted three-dimensional spacer fabrics, and the number of weft-knitted three-dimensional spacer fabrics to be eliminated was 1; based on the comprehensive compressive deformation values ​​obtained after 300 repeated compressions of the remaining 44 weft-knitted three-dimensional spacer fabrics and the corresponding spacing layer information and compression information, the compressive deformation analysis model was used to screen the 301st to 301st weft-knitted three-dimensional spacer fabrics. The compressive comprehensive deformation values ​​corresponding to 1000 compressions are numerically simulated; the number of compressions and the corresponding compressive test results corresponding to the first time that the compressive comprehensive deformation values ​​of 44 weft-knitted three-dimensional spacer fabrics are less than the set compressive comprehensive deformation threshold value are obtained based on the compressive comprehensive deformation values ​​corresponding to 1000 compressions, which are recorded as the simulated failure compression number and the simulated compressive test result; the 44 weft-knitted three-dimensional spacer fabrics are repeatedly compressed to obtain the number of compressions and the corresponding compressive test results corresponding to the first time that the compressive comprehensive deformation value of each weft-knitted three-dimensional spacer fabric is less than the set compressive comprehensive deformation threshold value, which are recorded as the real failure compression number and the real compressive test result; the failure compression number prediction accuracy and the compressive test result prediction accuracy of the compressive deformation analysis model are obtained based on the simulated failure compression number, the simulated compressive test result, the real failure compression number and the real compressive test result corresponding to the 44 weft-knitted three-dimensional spacer fabrics; the calculation formula for the failure compression number prediction accuracy is:

[0135] ;

[0136] in, It is expressed as the prediction accuracy of the number of failed compressions; and They are respectively represented as the simulated failure compression times and the real failure compression times corresponding to the s-th weft-knitted three-dimensional spacer fabric.

[0137] This embodiment also uses two other models to perform numerical simulation on the comprehensive compressive deformation values ​​corresponding to the 301st to 1000th compressions, and calculates the prediction accuracy of the number of failure compressions and the prediction accuracy of the compressive test results. For specific comparison, refer to Table 4.

[0138] Table 4 Validation table of compression deformation analysis model of Example 2

[0139]

[0140] Method 1 in Table 4 uses the compressive deformation analysis model of this embodiment for numerical simulation; Method 2 uses the autoregressive sliding average model for numerical simulation; Method 3 uses the LSTM model for numerical simulation; It can be seen from Table 4 that the method provided by this embodiment can more accurately simulate the deformation of the spacer layer of the weft-knitted three-dimensional spacer fabric after repeated compression, and improve the prediction accuracy of the number of failure compressions and the prediction accuracy of the compressive test results.

[0141] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for simulating dynamic deformation of a weft-knitted three-dimensional spacer fabric, characterized in that: include: Obtaining spacer layer information of weft-knitted three-dimensional spacer fabric; compressing the spacer layer, and obtaining first spacer layer deformation information and second spacer layer deformation information of the spacer layer; According to the deformation information of the first spacer layer and the deformation information of the second spacer layer after each compression, the spacer layer is dynamically deformed to obtain a comprehensive compression deformation curve. The specific process includes: Obtaining a compressive rebound deformation value of the spacer layer after each compression according to the deformation information of the first spacer layer; obtaining an appearance compressive deformation value of the spacer layer after each compression according to the deformation information of the second spacer layer; The comprehensive compressive deformation value of the spacer layer after each compression is obtained according to the compressive rebound deformation value and the appearance compressive deformation value; the calculation formula of the comprehensive compressive deformation value is: in, It is expressed as the comprehensive compressive deformation value after the i-th compression; and They are respectively expressed as the compressive rebound deformation value and the appearance compressive deformation value after the i-th compression; and They are respectively expressed as compressive rebound coefficient and appearance compressive coefficient; It is expressed as an exponential function with a natural constant as base; According to the comprehensive compression deformation value obtained by K compressions, the spacer layer information and the compression information, numerical simulation is performed on the comprehensive compression deformation value of the spacer layer after compressions from K+1 to K+L times; according to the numerical simulation results, a comprehensive compression deformation curve is obtained; the compression information includes the pressure magnitude and force application duration applied for each compression; The compressive test result of the spacer layer is obtained according to the comprehensive compressive deformation curve.

2. A method for simulating dynamic deformation of a weft-knitted three-dimensional spacer fabric according to claim 1, characterized in that: The spacer layer information includes: the thickness, yarn information and yarn density of the weft-knitted three-dimensional spacer fabric spacer layer; the yarn information includes the material and fineness of the yarn.

3. The method for simulating dynamic deformation of a weft-knitted three-dimensional spacer fabric according to claim 1, characterized in that: The first spacer layer deformation information includes: the initial thickness of each detection point, the first spacer layer thickness and the second spacer layer thickness corresponding to each detection point after each compression; the specific acquisition steps include: Select N detection points on the weft-knitted three-dimensional spacer fabric; obtain the initial thickness of the N detection points before compression; repeat compression of the weft-knitted three-dimensional spacer fabric K times, and detect the thickness of the first spacer layer and the thickness of the second spacer layer corresponding to each point to be detected after each compression; the process of each compression includes: Applying pressure to the weft-knitted three-dimensional spacer fabric, wherein the pressure is a set first pressure value; After the pressure is released, the pressure is released; when the pressure is released, the thickness of the first spacer layer at each point to be tested is detected ... After that, the thickness of the second spacer layer at each point to be detected is obtained.

4. The method for simulating dynamic deformation of a weft-knitted three-dimensional spacer fabric according to claim 1, characterized in that: The second spacing layer deformation information includes: initial yarn appearance features of each spacing layer yarn and test yarn appearance features corresponding to each spacing layer yarn after each compression; the initial yarn appearance features and the test yarn appearance features both include yarn breakage identification results and yarn head and tail lengths; the yarn head and tail lengths are the vertical projection lengths of the line segments connecting the head and tail of the spacing layer yarns; the process of acquiring the yarn appearance features includes: Select M spacer layer yarns from the side of the spacer layer; obtain the spacer layer yarn when not compressed and each time the pressure is released The invention relates to a method for preparing a yarn image after the yarn image is spun; inputting the yarn image into a spacer layer yarn image recognition model to obtain the yarn appearance features corresponding to the yarn image; the spacer layer yarn image recognition model comprises a spacer layer yarn image input unit, a spacer layer yarn image feature extraction unit, a spacer layer yarn image feature fusion unit, a spacer layer yarn recognition unit and a yarn appearance feature output unit; the spacer layer yarn image feature extraction unit is used to extract multiple yarn feature graphs of the yarn image; the spacer layer yarn image feature fusion unit is used to obtain the yarn contour based on feature fusion of the yarn feature graph; the spacer layer yarn recognition unit is used to obtain the yarn breakage recognition result and the yarn head and tail length according to the yarn contour; the yarn breakage recognition result comprises yarn breakage and yarn non-breakage.

5. The method for simulating dynamic deformation of a weft-knitted three-dimensional spacer fabric according to claim 1, characterized in that: The numerical simulation of the comprehensive compressive deformation value of the interval layer after the K+1th to K+Lth compressions based on the comprehensive compressive deformation value, compression information and the interval layer information obtained by the Kth compressions comprises: inputting the comprehensive compressive deformation value, compression information and the interval layer information obtained by the Kth compressions into the compressive deformation analysis model to obtain the comprehensive compressive deformation value corresponding to the K+1th compression; the compressive deformation analysis model comprises a time series deformation prediction layer, a multivariate regression deformation prediction layer and a comprehensive compressive deformation value output layer; The comprehensive compressive deformation value corresponding to the K+1th compression is combined with the comprehensive compressive deformation value obtained after the Kth compression, the compression information and the interval layer information and re-inputted into the compressive deformation analysis model to obtain the comprehensive compressive deformation value corresponding to the K+2th compression; and so on, to obtain the comprehensive compressive deformation values ​​of the interval layer after the K+1th to K+Lth compressions.

6. A method for simulating dynamic deformation of a weft-knitted three-dimensional spacer fabric according to claim 5, characterized in that: The process of obtaining the comprehensive compressive deformation value corresponding to the K+1th compression includes: The comprehensive compression deformation value obtained by applying pressure for K times is input into the time series deformation prediction layer to obtain the first comprehensive compression deformation value corresponding to the K+1th compression; the comprehensive compression deformation value, the interval layer information and the compression information obtained by applying pressure for K times are input into the multivariate regression prediction layer for nonlinear regression to obtain the second comprehensive compression deformation value corresponding to the K+1th compression; The first compression resistance comprehensive deformation value and the second compression resistance comprehensive deformation value are input into the compression resistance comprehensive deformation value output layer for fusion, so as to obtain the compression resistance comprehensive deformation value corresponding to the K+1th compression.

7. The method for simulating dynamic deformation of a weft-knitted three-dimensional spacer fabric according to claim 1, characterized in that: The comprehensive compression deformation curve includes: taking the comprehensive compression deformation value corresponding to 1 to K+L compressions as the ordinate and the number of compressions as the abscissa to obtain the comprehensive compression deformation curve.

8. A dynamic deformation simulation system for weft-knitted three-dimensional spacer fabrics, characterized in that: include: Spacer layer information acquisition unit: used to acquire the spacer layer information of the weft-knitted three-dimensional spacer fabric; A spacer layer deformation information acquisition unit is used to compress the spacer layer and acquire first spacer layer deformation information and second spacer layer deformation information of the spacer layer; A unit for acquiring a comprehensive compression deformation curve is used to perform a dynamic deformation simulation on the spacer layer according to the deformation information of the first spacer layer and the deformation information of the second spacer layer after each compression, and acquire a comprehensive compression deformation curve. The specific process includes: Obtaining a compressive rebound deformation value of the spacer layer after each compression according to the deformation information of the first spacer layer; obtaining an appearance compressive deformation value of the spacer layer after each compression according to the deformation information of the second spacer layer; The comprehensive compressive deformation value of the spacer layer after each compression is obtained according to the compressive rebound deformation value and the appearance compressive deformation value; the calculation formula of the comprehensive compressive deformation value is: in, It is expressed as the comprehensive compressive deformation value after the i-th compression; and They are respectively expressed as the compressive rebound deformation value and the appearance compressive deformation value after the i-th compression; and They are respectively expressed as compressive rebound coefficient and appearance compressive coefficient; It is expressed as an exponential function with a natural constant as base; According to the comprehensive compression deformation value obtained by K compressions, the spacer layer information and the compression information, numerical simulation is performed on the comprehensive compression deformation value of the spacer layer after compressions from K+1 to K+L times; according to the numerical simulation results, a comprehensive compression deformation curve is obtained; the compression information includes the pressure magnitude and force application duration applied for each compression; A compression test result acquisition unit is used to acquire the compression test result of the spacer layer according to the compression comprehensive deformation curve.

9. A dynamic deformation simulation system for weft-knitted three-dimensional spacer fabric according to claim 8, characterized in that: The spacer layer information includes: the thickness, yarn information and yarn density of the weft-knitted three-dimensional spacer fabric spacer layer; the yarn information includes the material and fineness of the yarn.

10. A dynamic deformation simulation system for weft-knitted three-dimensional spacer fabric according to claim 8, characterized in that: The first spacer layer deformation information includes: the initial thickness of each detection point, the first spacer layer thickness and the second spacer layer thickness corresponding to each detection point after each compression; the specific acquisition steps include: Select N detection points on the weft-knitted three-dimensional spacer fabric; obtain the initial thickness of the N detection points before compression; repeat compression of the weft-knitted three-dimensional spacer fabric K times, and detect the thickness of the first spacer layer and the thickness of the second spacer layer corresponding to each point to be detected after each compression; the process of each compression includes: Applying pressure to the weft-knitted three-dimensional spacer fabric, wherein the pressure is a set first pressure value; After the pressure is released, the pressure is released; when the pressure is released, the thickness of the first spacer layer at each point to be tested is detected ... After that, the thickness of the second spacer layer at each point to be detected is obtained.

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