Visual three-dimensional model modeling method and system for silica gel product

Abstract

The invention relates to the technical field of three-dimensional model data management, in particular to a visual three-dimensional model modeling method and system for a silica gel product. The method comprises the following steps: collecting entity size data, material elastic rebound parameters and product deformation data under preset pressure of a silica gel product; constructing an initial three-dimensional model of the silica gel product based on the entity size data, and marking a structure stress node position of the initial three-dimensional model; according to the position of the structure stress node, positioning the structure stress node corresponding to the deformation data in the initial three-dimensional model; and establishing a stress deformation mapping relation between the structure stress node and the product deformation data based on the material elastic rebound parameter, driving the corresponding area of the initial three-dimensional model to deform, and generating a visual three-dimensional model reflecting the elastic characteristic of the silica gel product. By means of the three-dimensional modeling technology, real restoration of the elastic characteristic of the silica gel product is achieved, and the goodness of fit between the visual three-dimensional model of the silica gel product and actual product deformation is improved.

Description

Technical Field

[0001] This invention relates to the field of 3D model data management technology, and in particular to a method and system for creating visual 3D models of silicone products. Background Technology

[0002] Silicone products are widely used in various fields such as medical, electronic, and daily necessities due to their excellent elastic resilience, aging resistance, and biocompatibility. The performance of these products is closely related to their elastic deformation characteristics. Visualized 3D models, as core tools for product design optimization and performance prediction, directly impact product development efficiency and quality through their accuracy in reproducing the elastic properties of silicone products.

[0003] Current 3D modeling technologies for silicone products suffer from insufficient matching between the model construction and actual stress-induced deformation patterns, making it difficult to accurately capture the product's elastic deformation characteristics. During model calibration and optimization, the lack of mapping relationships and targeted adjustment strategies results in limited accuracy in reproducing the elastic properties of silicone products and low consistency with actual product deformation data. Furthermore, existing technologies are inefficient in modeling and optimization, have poor adaptability to silicone products with different structures, and struggle to meet the demand for accurate model data in product design optimization and performance prediction. Summary of the Invention

[0004] Therefore, it is necessary to provide a method and system for creating visual 3D models of silicone products to solve at least one of the aforementioned technical problems.

[0005] To achieve the above objectives, a method for creating a visual 3D model of silicone products is provided, the method comprising the following steps: Step S1: Collect the physical dimensions of the silicone product, the material elasticity and rebound parameters, and the product deformation data under the preset pressure; Step S2: Construct an initial 3D model of the silicone product based on the solid dimension data, and mark the location of the structural stress nodes of the initial 3D model; Step S3: Based on the location of the structural stress nodes, locate the structural stress nodes in the initial 3D model that correspond to the deformation data; establish a stress-deformation mapping relationship between the structural stress nodes and the product deformation data based on the material elastic rebound parameters; and calibrate the deformation response parameters of the structural stress nodes according to the stress-deformation mapping relationship. Step S4: Input a preset pressure simulation signal to the calibrated structural stress nodes to drive the corresponding area of ​​the initial three-dimensional model to produce deformation, and verify the consistency between the deformed three-dimensional model and the product deformation data. Step S5: Optimize the initial 3D model based on the fit. When the fit meets the preset fit threshold, generate a visualized 3D model that reflects the elastic properties of the silicone product.

[0006] The present invention also provides a visualization 3D modeling system for silicone products, used to execute the above-described visualization 3D modeling method for silicone products, the visualization 3D modeling system for silicone products comprising: The silicone product data acquisition module is used to collect physical dimension data, material elasticity and resilience parameters, and product deformation data under preset pressure of silicone products. The structural stress node marking module is used to construct an initial 3D model of a silicone product based on solid dimension data and mark the location of structural stress nodes in the initial 3D model. The deformation response parameter calibration module is used to locate the structural stress nodes in the initial 3D model corresponding to the deformation data based on the location of the structural stress nodes; establish a stress-deformation mapping relationship between the structural stress nodes and the product deformation data based on the material elastic rebound parameters; and calibrate the deformation response parameters of the structural stress nodes according to the stress-deformation mapping relationship. The deformation fit verification module is used to input a preset pressure simulation signal to the calibrated structural stress nodes, drive the corresponding area of ​​the initial three-dimensional model to produce deformation, and verify the fit between the deformed three-dimensional model and the product deformation data. The 3D model optimization output module is used to optimize the initial 3D model based on the fit. When the fit meets the preset fit threshold, a visual 3D model reflecting the elastic properties of the silicone product is generated.

[0007] The beneficial effects of this invention are: On the one hand, this invention achieves high-precision reproduction of the elastic properties of silicone products. It precisely identifies the deviation areas between the model and the actual product deformation through spatial coordinate clustering analysis. It then implements hierarchical weight adjustments based on the spatial distance between structural stress nodes and calibration reference nodes. Simultaneously, it introduces a difference correction coefficient to adapt to the deformation deviation characteristics of different nodes, achieving refined correction of deformation response parameters. Furthermore, it optimizes the node distribution density and arrangement for areas with concentrated deviations, eliminating abnormal nodes and adding new ones, ensuring that the node distribution closely matches the actual stress deformation law of the product. This significantly improves the accuracy of the visualization model in reproducing the elastic properties of silicone products.

[0008] On the other hand, this invention improves model optimization efficiency and adaptability reliability. By selectively optimizing deviation areas rather than adjusting the entire model, it reduces ineffective operations and significantly improves optimization efficiency. When adding new nodes, it relies on coordinate snapping to ensure spatial continuity, assigning initial parameters based on surrounding valid nodes to ensure a complete and consistent model structure. Through a cyclical verification mechanism, it continuously optimizes until the fit meets the standard. The generated visual model can intuitively present the elastic deformation law, adapting to the modeling needs of silicone products with different structures and providing reliable support for product performance prediction. Attached Figure Description

[0009] Figure 1A flowchart illustrating the steps of a method for creating a visual 3D model of silicone products. Figure 2 A visual 3D model illustration of a silicone product; Figure 3 Image of a silicone product; The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0010] The technical method of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0011] Furthermore, the accompanying drawings are merely illustrative of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0012] It should be understood that although the terms "first," "second," etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are used merely to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0013] To achieve the above objectives, please refer to Figures 1 to 3 A method for creating a visual 3D model of silicone products, the method comprising the following steps: Preferably, step S1: collect the physical dimensions of the silicone product, the material elasticity and rebound parameters, and the product deformation data under a preset pressure; Optionally, the product deformation data under the preset pressure in step S1 is specifically as follows: The pressure is divided into three consecutive preset pressure levels, each one-third of the preset rated pressure of the silicone product, forming a linearly increasing pressure gradient. At each preset pressure level, the pressure-free reference contour of the silicone product is collected, and the three-dimensional coordinates of the pressure-free reference contour feature points with consistent spacing on the silicone product contour are obtained. After applying the corresponding pressure and maintaining the pressure stability, the product's pressure profile is collected, and the three-dimensional coordinates of the pressure profile feature points at the same intervals are obtained. The local deformation of each feature point under pressure is obtained by performing a difference calculation on the three-dimensional coordinates of the same feature point in the unpressured reference profile and the pressured profile. Based on the spatial arrangement of the feature points of the pressure profile, the local deformation variables are integrated into a set of deformation data corresponding to the contour of the silicone product, forming product deformation data under preset pressure.

[0014] In this embodiment, the rated pressure of the silicone product is selected as 300 kPa. Three consecutive preset pressure levels—100 kPa, 200 kPa, and 300 kPa—are divided into intervals of one-third of the rated pressure, forming a linearly increasing pressure gradient. At each preset pressure level, a laser profile scanner is used to acquire the pressure-free baseline profile of the silicone product. The scanning frequency of the laser profile scanner is set to 100 Hz and the scanning interval to 0.5 mm. The scanning head moves at a constant speed along the extension direction of the silicone product profile, scanning point by point to acquire the three-dimensional coordinates of the pressure-free baseline profile feature points on the silicone product profile at consistent intervals, ensuring that the scan covers all profile areas of the product without missing any feature points.

[0015] An electric pressure loading device applies pressure to the silicone product at the corresponding level. The pressure feedback adjustment accuracy of the device is 0.1 kPa, controlling the pressure fluctuation range to ≤ ±2 kPa. The pressure is maintained stable for 30 seconds, during which a pressure sensor monitors pressure changes in real time to ensure continuous pressure stability. Under these conditions, the parameters of the laser contour scanner remain unchanged, and a uniform scan is performed along the same scanning path and at the same moving speed as when acquiring the pressureless baseline contour. This acquires the three-dimensional coordinates of the pressure-bearing contour feature points at the same intervals, ensuring that the acquisition position of the same feature point is completely consistent between the baseline scan and the pressure scan.

[0016] The three-dimensional coordinates of the feature points of the unpressured reference profile are matched one-to-one with the three-dimensional coordinates of the feature points of the pressured profile according to the scanning order. The difference calculation is performed on the three-dimensional coordinates of the same feature point. For example, the specific calculation method is as follows: select any feature point, whose three-dimensional coordinates under the unpressured reference profile are (X1,Y1,Z1), and the corresponding three-dimensional coordinates under the pressured profile are (X2,Y2,Z2). Calculate the difference in the X-axis direction, the difference in the Y-axis direction, and the difference in the Z-axis direction respectively. Then, by using the three-dimensional spatial distance calculation method, the sum of the squares of the differences in the three axes is calculated and the square root is taken to obtain the local deformation of the feature point.

[0017] According to the spatial arrangement order of the silicone product outline, the local deformation of all the feature points of the pressure outline is sorted out in sequence to form a set of deformation data that completely corresponds to the spatial distribution of the silicone product outline. This set of data is the product deformation data under the preset pressure. Each pressure level corresponds to a complete set of deformation data, which corresponds to the product deformation state under pressures of 100kPa, 200kPa, and 300kPa respectively.

[0018] Preferably, step S2: construct an initial three-dimensional model of the silicone product based on the solid size data, and mark the structural stress nodes of the initial three-dimensional model; Optionally, the initial 3D model of the silicone product based on the solid size data in step S2 is specifically constructed as follows: The collected entity size data is hierarchically split into the main support structure size, elastic connection structure size and edge encapsulation structure size according to the structural composition of silicone products. The key contour size and connection boundary size of each structure are extracted. Based on the dimensions of the main support structure, construct the main support frame of the initial three-dimensional model of the silicone product, and input the key contour dimension parameters of the main support structure. Based on the connection boundary dimensions, the dimensional parameters of the elastic connection structure are matched to the corresponding connection positions of the main support frame to construct the elastic connection structure of the initial three-dimensional model; The edge encapsulation structure dimensions are adapted to the edge of the assembly consisting of the main support frame and the elastic connection structure to form a complete initial three-dimensional model of the silicone product.

[0019] In this embodiment, a silicone product is selected as the modeling object. The physical size data of the silicone product collected in the early stage is called and the physical size data is split into layers. According to the actual structural composition of the silicone product, the data is divided into three categories: the main support structure size, the elastic connection structure size, and the edge encapsulation structure size. From the size data corresponding to each type of structure, the key contour size and the connection boundary size between each structure are extracted respectively.

[0020] It should be noted that the main support structure construction operation is performed using 3D modeling software. In this embodiment, the selected 3D modeling software is SolidWorks, UG NX, or AutoCAD 3D. A blank modeling space is created in the selected 3D modeling software, the extracted main support structure dimension data is imported, and the origin of the Cartesian coordinate system of the modeling space is used as the positioning reference. The baseline is drawn according to the key contour dimensions of the main support structure. The basic shape of the main support structure is formed by stretching and forming. Then, according to the extracted connection boundary dimensions, the corresponding structure is processed at the preset connection positions of the main support structure to complete the construction of the main support frame of the silicone product.

[0021] Based on the extracted connection boundary dimension data, the corresponding connection positions on the main support frame are located in the 3D modeling software. The dimension data of the elastic connection structure is matched and aligned with the dimension parameters of the connection positions. The elastic connection structure is then connected to the main support frame through a structural splicing operation to complete the construction of the elastic connection structure. Subsequently, the dimension data of the edge encapsulation structure is imported, and the contour is drawn along the edge of the combination formed by the main support frame and the elastic connection structure. The edge encapsulation structure is formed through a forming operation to ensure that the edge encapsulation structure fits perfectly with the edge of the combination.

[0022] After the construction of each structure is completed, the dimension verification function is activated in the 3D modeling software to compare the key contour dimensions of each constructed structure with the extracted solid dimension data. At the same time, the fitting accuracy of the connection boundaries between each structure is checked to ensure that the dimensions and connection status of each structure meet the solid dimension data requirements, and finally a complete initial 3D model of the silicone product is formed.

[0023] Most importantly, based on the connection boundary dimensions, the dimensional parameters of the elastic connection structure are matched to the corresponding connection positions of the main support frame, specifically as follows: Extract the cross-sectional dimensions of the connection ends and the extension length from the dimensional data of the elastic connection structure; Locate the connection interface corresponding to the elastic connection structure on the main support frame, and extract the cross-sectional dimension parameters of the connection interface; The cross-sectional dimensions of the connection end of the elastic connection structure are matched and aligned with the cross-sectional dimensions of the connection interface; Based on the extension length dimension of the elastic connection structure, a three-dimensional model unit of the elastic connection structure is constructed by extending along the preset direction of the connection interface.

[0024] In this embodiment, SolidWorks is selected as the 3D modeling software. Based on the previously constructed main support frame of the silicone product, the matching and connection operation between the elastic connection structure and the main support frame is carried out. The previously extracted dimensional data of the elastic connection structure is called up, and the dimensional data extraction function of the 3D modeling software is used to filter out the cross-sectional dimensions and extension length dimensions of the connection ends of the elastic connection structure, forming a dataset of connection parameters for the elastic connection structure.

[0025] Activate the structural positioning function of the 3D modeling software. Using the Cartesian coordinate system of the main support frame as a reference, search for the connection interface corresponding to the elastic connection structure on the main support frame. Extract the cross-sectional dimension parameters of the connection interface using the software's dimension measurement tool to form a dataset of connection interface parameters of the main support frame. Ensure that the extracted parameters include key information such as cross-sectional shape and contour dimensions.

[0026] Import the elastic connection structure connection parameter dataset and the main support frame connection interface parameter dataset into the 3D modeling software. Enable the software's size matching function to accurately align the cross-sectional dimensions of the connection end of the elastic connection structure with the cross-sectional dimensions of the connection interface. During the alignment process, the central axis of the connection interface is used as the reference to ensure that the central axis of the connection end of the elastic connection structure coincides with the central axis of the connection interface, while ensuring that the edges of the cross-sectional contours of the two are completely fitted.

[0027] After completing the size matching and alignment, the preset extension direction of the connection interface is set to the horizontal direction outward along the main support frame in the 3D modeling software. The extension length dimension parameter of the elastic connection structure is called. Through the stretching and forming function of the software, the structure is extended along the preset extension direction according to the extension length dimension. During the processing, the fit between the connection end of the elastic connection structure and the connection interface remains unchanged until the overall construction of the elastic connection structure is completed, forming an elastic connection structure unit that is stably connected to the main support frame.

[0028] Optionally, marking the structural force nodes of the initial 3D model in step S2 includes: Based on the surface features of the initial 3D model, regions with abrupt curvature changes in the surface features are identified and determined as stress concentration regions; Within the stress concentration area, stress nodes are arranged along the direction of the curvature change of the surface, so that the distribution of stress nodes adapts to the elastic deformation trend of the silicone product. The stress nodes are marked as structural stress nodes, and the correspondence between the structural stress nodes and the spatial positions of the initial three-dimensional model is established.

[0029] In this embodiment, UG NX is selected as the 3D modeling software. Based on the initial 3D model of the silicone product completed earlier, the structural stress nodes are marked. The surface feature analysis function of the software is activated, the surface data of the initial 3D model is imported, and the surface curvature analysis parameters are set to a curvature threshold of 0.05 rad / mm and a sampling interval of 0.3 mm. All surface regions are traversed, and regions where the surface curvature change value exceeds the threshold are identified. These regions are the stress concentration regions, and a spatial location dataset of the stress concentration regions is generated.

[0030] The software utilizes a spatial location dataset of stress concentration areas to pinpoint the specific extent of each stress concentration area in 3D modeling software. It then initiates the node placement function, setting the core parameters as follows: node spacing along the direction of surface curvature variation is 0.4mm, and the node placement covers the entire area from 0.2mm inward to 0.2mm outward from the boundary of the stress concentration area. During placement, the software automatically adjusts the node distribution density based on the elastic deformation trend data of the silicone product, maintaining stable node spacing in areas with higher curvature change rates to ensure precise matching between node distribution and elastic deformation trends.

[0031] After the stress nodes are set up, the node marking function of the 3D modeling software is activated to uniformly mark all the set stress nodes as structural stress nodes, and assign a unique identifier code to each structural stress node. At the same time, the spatial coordinate acquisition function of the software is activated to extract the 3D coordinate data of each structural stress node in the Cartesian coordinate system of the initial 3D model, forming a spatial coordinate dataset of structural stress nodes.

[0032] By using the data association function of 3D modeling software, a mapping relationship is established between the identification code of the structural stress node and the corresponding 3D coordinate data, generating a structural stress node-spatial position correspondence table. This correspondence table contains complete information such as identification code, X-axis coordinate, Y-axis coordinate, and Z-axis coordinate, achieving a precise correspondence between the structural stress node and the spatial position of the initial 3D model.

[0033] Preferably, step S3: Based on the location of the structural stress nodes, locate the structural stress nodes in the initial three-dimensional model that correspond to the deformation data; establish a stress-deformation mapping relationship between the structural stress nodes and the product deformation data based on the material elastic rebound parameters; and calibrate the deformation response parameters of the structural stress nodes according to the stress-deformation mapping relationship. Optionally, step S3 establishes a force-deformation mapping relationship between structural stress nodes and product deformation data, specifically including: Extract the force values ​​and deformation values ​​corresponding to each structural stress node in the product deformation data; Based on the spatial location of the structural stress nodes, the stress values ​​are correlated with the deformation. By combining the elastic rebound characteristics of silicone products, the adaptability of the corresponding correlation results is adjusted to form a force deformation mapping relationship.

[0034] In this embodiment, the previously generated structural stress node-spatial position correspondence table is called and imported into the three-dimensional coordinate positioning system. The three-dimensional coordinate positioning system used in this embodiment is Geomagic Control X or PolyWorks|Inspector. At the same time, the product deformation data under preset pressure and the spatial coordinate system of the initial three-dimensional model are imported. The positioning matching parameter is set to allowable spatial coordinate error range ≤0.1mm. Using the spatial position of the structural stress node as the retrieval benchmark, the deformation information corresponding to the spatial coordinates is traversed and matched in the product deformation data to complete the positioning of the structural stress node corresponding to the deformation data in the initial three-dimensional model, and the positioned structural stress node dataset is generated.

[0035] Import the located structural stress node dataset and product deformation data. Using the structural stress node identifier code as an index, extract the stress value and deformation of each node under different preset pressure levels to form the original dataset of structural stress node-stress deformation. Set the association parameter to spatial coordinate coincidence ≥ 99.9%, and associate the stress value and deformation with the spatial location of the structural stress node to generate the associated dataset of structural stress node-stress deformation.

[0036] The elastic rebound parameters (including elastic modulus and Poisson's ratio) of the silicone product material collected in the early stage are called up. The adaptation adjustment parameters are set to elastic modulus correction threshold ±5% and Poisson's ratio correction threshold ±2%. The correlation dataset is adjusted in combination with the elastic rebound parameters to correct the correlation deviation between the force value and the deformation, and to ensure that the correlation result is consistent with the actual elastic deformation law of the silicone product. In this way, the force-deformation mapping relationship between the structural force nodes and the product deformation data is formed.

[0037] The calibration accuracy parameter is set to deformation response error ≤ 0.02 mm. Based on the correspondence between force value and deformation in the generated force-deformation mapping relationship, the deformation response parameters of each structural stress node are calibrated one by one. During the calibration process, the fit between the calibrated parameters and the mapping relationship is compared in real time until the deformation response parameters of all structural stress nodes meet the calibration accuracy requirements.

[0038] Most importantly, the force values ​​are correlated with deformations based on the spatial location of the structural stress nodes, specifically as follows: Determine the deformation influence range of each structural stress node in the silicone product profile; In the product deformation data, locate the deformation amount and corresponding force value within the deformation influence range of each structural stress node; The stress value within the same deformation influence range is bound to the deformation amount.

[0039] In this embodiment, the system calls upon the previously generated structural stress node-spatial location correspondence table and silicone product outline data, and employs the Geomagic Control X 3D coordinate positioning system. The deformation influence range determination parameter is set as a spherical region with a radius of 3mm centered on the structural stress node. Based on this parameter, and combining the spatial coordinates of the structural stress node with the spatial positional relationship of the silicone product outline, the system automatically calculates and delineates the deformation influence range corresponding to each structural stress node, and simultaneously marks the boundary coordinates of each influence range and the identification information of the corresponding structural stress node.

[0040] The information on the deformation influence range of each structural stress node and the product deformation data under preset pressure are imported into the same three-dimensional coordinate positioning system, with the data matching parameter set to a spatial coordinate overlap of ≥99.8%. The system uses the boundary coordinates of each deformation influence range as the search boundary, and searches and locates all deformation data within each influence range in the product deformation data one by one. At the same time, it extracts the preset pressure level and stress value corresponding to these deformation data, ensuring that the extracted deformation and stress values ​​can accurately correspond to their respective deformation influence range and structural stress node.

[0041] The data binding rule is set so that the force value and deformation amount within the same deformation influence range correspond sequentially according to the preset pressure level. Based on this rule, the deformation amount and force value after positioning and extraction are associated. Through the spatial association function of the three-dimensional coordinate positioning system, the force value and deformation amount corresponding to the same pressure level within the same deformation influence range are bound one by one. During the binding process, the identification information of the structural stress node is used as the traceability basis to ensure that each binding group can be clearly associated with the corresponding structural stress node and deformation influence range.

[0042] After binding the force values ​​and deformation amounts within the deformation influence range of all structural stress nodes, the system's data verification function is activated to check whether there are any cases of unbound, duplicate, or misaligned force values ​​and deformation amounts within the deformation influence range of each structural stress node. Problematic data identified during verification is then relocated and bound until the force values ​​and deformation amounts within the deformation influence range of all structural stress nodes are accurately and completely bound, and the binding relationship corresponds correctly to the spatial location.

[0043] Optionally, the calibration of the deformation response parameters of the structural stress nodes in step S3 includes: The structural stress node with the largest deformation was selected from the product deformation data and determined as the calibration reference node. Based on the force-deformation mapping relationship, the theoretical deformation and corresponding force values ​​of the calibration reference nodes are extracted; Calculate the deviation between the theoretical deformation and the actual deformation in the product deformation data; Centered on the calibration reference node, adjust the deformation response parameters of each structural stress node according to the spatial distance between the structural stress node and the reference node; Extract the deformation of the adjusted reference node, verify the deviation between the adjusted reference node deformation and the actual deformation, until the deviation preset meets the requirements.

[0044] In this embodiment, the previously generated product deformation data and structural stress node-spatial location correspondence table are called. Any one of PolyWorks|Inspector, Geomagic Control X, or VGS 3D data processing systems can be used; there are no restrictions in this embodiment. The deformation variable screening parameter is set to numerical descending order. Based on this parameter, the deformation variables corresponding to all structural stress nodes in the product deformation data are traversed, and the structural stress node with the largest deformation variable value is selected and determined as the calibration reference node. The identification code and spatial coordinates of this node are recorded.

[0045] Import the previously established force-deformation mapping relationship, use the identification code of the calibration reference node as the retrieval index, extract the theoretical deformation and corresponding force value of the node at each preset pressure level from the mapping relationship, and extract the actual deformation of the calibration reference node at the same pressure level from the product deformation data. Set the deviation calculation accuracy to 0.001mm, calculate the deviation value between the theoretical deformation and the actual deformation at each pressure level through difference calculation, and form a calibration reference node deviation value dataset.

[0046] The spatial distance weighting parameters are set as follows: when the distance between the structural stress node and the calibration reference node is ≤2mm, the adjustment weight is 1.0; when the distance is between 2-5mm, the adjustment weight is 0.7; and when the distance is >5mm, the adjustment weight is 0.4. The system calculates the straight-line distance between each structural stress node and the reference node, using the spatial coordinates of the calibration reference node as the center. Based on the distance and the corresponding adjustment weight, and combined with the deviation value of the calibration reference node, the deformation response parameters of each structural stress node are adjusted one by one according to the rule: "Deformation response parameter adjustment amount = deviation value × corresponding weight".

[0047] After completing the first round of parameter adjustments, extract the deformation of the calibration reference node under each preset pressure level, and recalculate the deviation value between it and the actual deformation value. Set the preset deviation requirement to be ≤0.02mm. If the deviation value does not meet the requirement, repeat the above parameter adjustment process until the deformation deviation value of the calibration reference node meets the preset requirement. At this point, the calibration of the deformation response parameters of all structural stress nodes is completed.

[0048] Optionally, the deformation response parameters of each structural stress node are adjusted according to the spatial distance between the structural stress node and the reference node, specifically including: The structural stress nodes are divided into three categories according to their distance from the reference node: the first category is ≤2mm, the second category is 2mm < distance ≤5mm, and the third category is distance >5mm. The deviation values ​​between the theoretical deformation and the actual deformation in the product deformation data are assigned to the corresponding structural stress nodes of the initialized 3D model in the order of the first, second and third categories. The allocated deviation values ​​are superimposed on the deformation response parameters of the corresponding stress nodes of the initialized 3D model.

[0049] In this embodiment, the spatial coordinates of the calibration reference node, the correspondence table of the structural stress node-spatial position, and the deviation values ​​of the calculated theoretical deformation and actual deformation are called in advance. The spatial distance calculation accuracy is set to 0.001mm. Taking the spatial coordinates of the calibration reference node as the origin, the straight distance between each structural stress node and the calibration reference node is calculated one by one.

[0050] All structural stress nodes are classified according to the distance classification rules: those with a distance ≤ 2mm are classified into the first category, those with a distance < 2mm and ≤ 5mm are classified into the second category, and those with a distance > 5mm are classified into the third category. After classification, a unique classification identifier is added to each category of nodes, and the identifier code, distance from the reference node, and classification result of each node are recorded.

[0051] Set the deviation value allocation weight parameters: 1.0 for the first type of node, 0.7 for the second type, and 0.4 for the third type. Establish a correspondence table between the classification identifier and the allocated weight. Associate the calculated deviation values ​​with the correspondence table, and calculate the deviation allocation value for each structural stress node in each type of node according to the calculation method of "deviation allocation value = total deviation value × corresponding weight", thus completing the allocation of deviation values ​​to each node.

[0052] Extract the current deformation response parameters of each structural stress node, match them one-to-one with the structural stress node identification code, and then add the allocated deviation values ​​to the corresponding deformation response parameters one by one. When adding, the parameters of the same dimension are directly accumulated to complete the adjustment of the deformation response parameters of all structural stress nodes.

[0053] Optionally, locating the structural stress nodes corresponding to the deformation data in the initial three-dimensional model in step S3 specifically involves: Extract deformation peaks with deformation values ​​above the average level from product deformation data; Extract the spatial locations of all structural stress nodes in the initial 3D model; The location of the deformation peak point is compared with the location of the stress nodes of the structure one by one; Filter out structural stress nodes with matching locations.

[0054] In this embodiment, product deformation data under preset pressure obtained earlier is used. The deformation statistical parameter is set to iterate through all deformation data points and calculate the arithmetic mean. The average deformation level of the product deformation data is calculated using this parameter. The peak deformation point screening threshold is set to 1.2 times the average deformation level. Based on this threshold, all deformation data points with deformation values ​​higher than the threshold are extracted from the product deformation data. These data points are identified as peak deformation points, and the spatial coordinates and corresponding deformation values ​​of each peak deformation point are recorded.

[0055] The previously generated structural stress node-spatial location correspondence table is called to extract the identification code and corresponding spatial coordinates of all structural stress nodes in the initial 3D model, forming a list of spatial locations of structural stress nodes. The list clearly associates the identification code and spatial coordinate information of each structural stress node.

[0056] The position comparison parameters are set to allow a spatial coordinate error range of ≤0.1mm. The spatial coordinates of the deformation peak point are compared one by one with the spatial coordinates of the structural stress nodes in the list of structural stress node locations. During the comparison process, the spatial coordinates of the deformation peak point are used as the reference, and the list of structural stress node locations is searched sequentially. The information of the structural stress node whose coordinate error meets the set parameter requirements for each deformation peak point is recorded.

[0057] All comparison results are filtered, and those with coordinate errors that meet the set parameter requirements are retained. The corresponding structural stress nodes are the structural stress nodes with matching positions. The identification codes, spatial coordinates, and corresponding deformation peak point information of these nodes are recorded to form a list of located structural stress nodes, thus completing the location operation of the structural stress nodes corresponding to the deformation data in the initial 3D model.

[0058] Preferably, step S4: input a preset pressure simulation signal to the calibrated structural stress nodes to drive the corresponding area of ​​the initial three-dimensional model to produce deformation, and verify the consistency between the deformed three-dimensional model and the product deformation data. Optionally, step S4, which involves inputting a preset pressure simulation signal to the calibrated structural stress nodes, includes: Generate a simulated pressure signal corresponding to the preset pressure level; In order of preset pressure levels from low to high, simulated pressure signals are sequentially input to the calibrated structural stress nodes. After each pressure simulation signal is input, the signal is kept stable and the deformation response of the node is recorded; Complete the pressure simulation signal input for all gears to obtain the node deformation response data.

[0059] In this embodiment, ANSYS Workbench is selected as the 3D modeling and simulation software. The initial 3D model data of the silicone product, after the structural stress nodes have been calibrated, is imported. Simultaneously, preset pressure level parameters (100kPa, 200kPa, 300kPa) are invoked, and a pressure simulation signal generation task is created in the software's statics simulation module. The core parameters for signal generation are set as follows: load type is concentrated force load, load application method is precise positioning based on node coordinates, and signal accuracy is 0.1kPa. Based on each preset pressure level value, corresponding pressure simulation signals are generated. Each signal is bound to a unique level identifier, forming a preset pressure level-simulated signal mapping table. The 100kPa, 200kPa, and 300kPa levels correspond to concentrated force load signals of 5N, 10N, and 15N, respectively (calculated based on the silicone product material density and node stress area).

[0060] Enable the node filtering function in the simulation software, import the calibrated list of structural stress nodes, and locate the spatial positions of all calibrated nodes using the coordinate matching function. Set these nodes as the precise loading targets for the pressure simulation signal. Set the signal input order rule to ascending order of pressure level values, i.e., 100kPa→200kPa→300kPa. Create a sequential loading task sequence in the software, and associate the preset pressure level-simulated signal mapping table with the loading sequence to ensure that the pressure simulation signal of each level can be accurately matched to the corresponding loading step. Start the initialization program of the loading sequence, check the connection status of the signal loading path and calibration nodes, and after confirming that there are no omissions or deviations in the loading range, start the loading process of the first-level 100kPa pressure simulation signal.

[0061] The stabilization parameters for each pressure simulation signal were set as follows: the signal was held for 30 seconds after loading, with a load fluctuation allowable range of ≤±0.2 kPa during this period. After the 100 kPa signal was loaded, the software automatically started the timing function and simultaneously activated the deformation monitoring module. The monitoring parameters were set as follows: acquisition frequency 100 Hz, deformation displacement acquisition accuracy 0.001 mm, and monitoring range covering all calibrated structural stress nodes. During monitoring, the software recorded the real-time deformation displacement data of each node during the stabilization phase according to the node identifier code, forming a correlated data group of "node identifier - 100 kPa - deformation displacement", which was stored in the simulation software's dedicated data folder.

[0062] After the 100 kPa pressure level signal loading and data acquisition are completed, the software automatically switches to the 200 kPa pressure level according to a preset sequence, repeating the above signal loading, stabilization, deformation monitoring, and data recording process. After the 200 kPa pressure level operation is completed, the software switches to the 300 kPa pressure level and performs the same process. After all pressure level loading operations are completed, the simulation software's data aggregation function is invoked to finally form a complete dataset of the structural stress node deformation response.

[0063] Of particular importance is that step S4, verifying the consistency between the deformed 3D model and the product deformation data, includes: Extract the nodal deformation response data of each structural stress node in the 3D model after deformation to form a model deformation dataset; The model deformation dataset is compared with the product deformation data node by node, and the number of nodes that match the deformation is counted. The degree of match is determined based on the proportion of matching nodes.

[0064] In this embodiment, ABAQUS simulation software is selected, the three-dimensional deformation model after pressure simulation loading is retrieved, the node data extraction function of the software is enabled, the extraction parameter is set to the deformation of each stress node of the calibration structure under all preset pressure levels, the extraction accuracy is set to 0.001mm, and the data is collected and processed sequentially according to the node identification code.

[0065] Retrieve product deformation data obtained from previous experiments, and standardize and align them according to node identification codes and pressure levels to ensure data consistency. Create a comparison task in the ABAQUS data analysis module, set the allowable threshold for deformation difference to 0.008 mm, and start the node-by-node, pressure-level comparison process. The system automatically calculates the deformation difference between the two sets of data and records the node information where the difference meets the threshold requirement.

[0066] The statistical rules are set as follows: the number of matched nodes is the cumulative value of qualified nodes across all ranges, and the total number of nodes is the total number of structural stress nodes participating in the calibration. The proportion of matched nodes is calculated using the software's statistical function. The pass / fail standard for conformity is set as a proportion of matched nodes not less than 92%. The calculated proportion is compared with the pass / fail standard to determine whether the conformity is qualified or not.

[0067] After the judgment is completed, a verification record is generated, which includes details of the comparison nodes, the number of matches for each level, the matching ratio, and the judgment result.

[0068] Preferably, step S5: optimize the initial three-dimensional model based on the fit degree. When the fit degree meets the preset fit threshold, generate a visualized three-dimensional model that reflects the elastic properties of the silicone product.

[0069] Of particular importance is that step S5 optimizes the initial 3D model based on the fit, specifically including: For areas where the fit is substandard, determine the range of structural stress nodes in those areas; Adjust the deformation response parameters of the structural stress nodes within the range of structural stress nodes; Adjust the distribution of structural stress nodes at locations of deformation deviation; Re-verify the model's fit, repeating the adjustment and verification steps until the fit meets the requirements.

[0070] In this embodiment, the matching verification record from step S4 is retrieved, and the node comparison details are imported into the ABAQUS simulation software. The following non-compliance criteria are set: the difference in deformation across three consecutive pressure levels for a single node is >0.008mm, or the proportion of matching nodes in a local area of ​​≥5mm×5mm is <92%. Based on these parameters, the software iterates through the node data, marks the set of non-compliant nodes, generates a three-dimensional contour of the non-compliant area through spatial coordinate clustering, extracts the node identification code, spatial coordinates, and deformation difference within the area, and identifies the non-compliant area and node range.

[0071] For nodes in non-compliant areas, the spatial straight-line distance between each node and the calibration reference node is extracted, and a weighting rule is applied: distance ≤ 2mm, weight 1.0; 2-5mm, weight 0.7; > 5mm, weight 0.4. The deviation value of the calibration reference node is retrieved, and the adjustment amount for each node is calculated according to "Adjustment Amount = Reference Deviation Value × Corresponding Weight × Correction Coefficient". The correction coefficient is set according to the ratio of the node deformation difference to the reference deviation value (ratio > 1.2, 1.1; 1.0-1.2, 1.0; < 1.0, 0.9). The node deformation response parameters are corrected one by one according to the adjustment amount, with a correction accuracy of 0.001mm.

[0072] For areas with concentrated deviations where the deformation difference is greater than 0.01 mm, node distribution adjustment parameters are set: the original spacing of 0.4 mm is reduced to 0.3 mm, and new nodes are arranged in a triangular mesh. Abnormal nodes with a difference greater than 0.015 mm are deleted, node coordinates are generated according to the new spacing, and the coordinate snapping function is used to ensure that the distance error between the new node and the surrounding nodes is ≤0.1 mm. The average value of the parameters of the three surrounding valid nodes is assigned to the new node as the initial deformation response parameter.

[0073] A new round of verification is initiated according to step S4 verification standard: The allowable difference threshold is set at 0.008 mm, and the pass rate is 92%. A node-by-node, level-by-level comparison is performed. If the conformity meets the standard, optimization stops; if not, information on new non-compliant nodes is extracted, and the parameter adjustment, node distribution optimization, and verification steps are repeated. After meeting the standard, the visualization rendering function is enabled in the software to generate a 3D model with annotations of elastic deformation patterns based on the optimized data.

[0074] The present invention also provides a visualization 3D modeling system for silicone products, used to execute the above-described visualization 3D modeling method for silicone products, the visualization 3D modeling system for silicone products comprising: The silicone product data acquisition module is used to collect physical dimension data, material elasticity and resilience parameters, and product deformation data under preset pressure of silicone products. The structural stress node marking module is used to construct an initial 3D model of a silicone product based on solid dimension data and mark the location of structural stress nodes in the initial 3D model. The deformation response parameter calibration module is used to locate the structural stress nodes in the initial 3D model corresponding to the deformation data based on the location of the structural stress nodes; establish a stress-deformation mapping relationship between the structural stress nodes and the product deformation data based on the material elastic rebound parameters; and calibrate the deformation response parameters of the structural stress nodes according to the stress-deformation mapping relationship. The deformation fit verification module is used to input a preset pressure simulation signal to the calibrated structural stress nodes, drive the corresponding area of ​​the initial three-dimensional model to produce deformation, and verify the fit between the deformed three-dimensional model and the product deformation data. The 3D model optimization output module is used to optimize the initial 3D model based on the fit. When the fit meets the preset fit threshold, a visual 3D model reflecting the elastic properties of the silicone product is generated.

[0075] Please see Figure 2 The appendix Figure 2 This is a 3D model of a silicone phone case, a product made of silicone. The 3D model is an initial 3D model structure built based on the physical size data. It clearly presents the outline of the main support frame, the edge encapsulation structure, and the local shapes of the wireless charging area, button positions, etc., which are consistent with the structural composition of the silicone product. The mesh nodes on the surface of the 3D model correspond to the marked positions of the structural stress nodes, covering key parts such as the area around the camera and the wireless charging area. The wireframe style of the 3D model completely restores the spatial form of the product, and its structural details correspond to the collected physical size data and the 3D coordinate information of the outline feature points.

[0076] Please see Figure 3 The appendix Figure 3 This invention provides a variety of silicone physical products, including phone cases, remote control cases, watch straps, and other different types of items, covering multiple colors and diverse structural shapes. These physical objects serve as reference objects for collecting physical size data during the modeling process of this invention. Furthermore, the visualized 3D models of silicone products constructed using this invention can be directly used for 3D printing, producing printed products with... Figure 3 The physical form of this type of silicone product.

[0077] Therefore, the embodiments should be considered as exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of the equivalents of the application are intended to be included within the invention.

[0078] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A method for creating a visual 3D model of silicone products, characterized in that, Includes the following steps: Step S1: Collect the physical dimensions of the silicone product, the material elasticity and rebound parameters, and the product deformation data under the preset pressure; Step S2: Construct an initial 3D model of the silicone product based on the solid dimension data, and mark the location of the structural stress nodes of the initial 3D model; Step S3: Based on the location of the structural stress nodes, locate the structural stress nodes in the initial 3D model that correspond to the deformation data; establish a stress-deformation mapping relationship between the structural stress nodes and the product deformation data based on the material elastic rebound parameters; and calibrate the deformation response parameters of the structural stress nodes according to the stress-deformation mapping relationship. Step S4: Input a preset pressure simulation signal to the calibrated structural stress nodes to drive the corresponding area of ​​the initial three-dimensional model to produce deformation, and verify the consistency between the deformed three-dimensional model and the product deformation data. Step S5: Optimize the initial 3D model based on the fit. When the fit meets the preset fit threshold, generate a visualized 3D model that reflects the elastic properties of the silicone product.

2. The method for creating a visual 3D model of silicone products according to claim 1, characterized in that, The product deformation data under the preset pressure in step S1 are as follows: The pressure is divided into three consecutive preset pressure levels, each one-third of the preset rated pressure of the silicone product, forming a linearly increasing pressure gradient. At each preset pressure level, the pressure-free reference contour of the silicone product is collected, and the three-dimensional coordinates of the pressure-free reference contour feature points with consistent spacing on the silicone product contour are obtained. After applying the corresponding pressure and maintaining the pressure stability, the product's pressure profile is collected, and the three-dimensional coordinates of the pressure profile feature points at the same intervals are obtained. The local deformation of each feature point under pressure is obtained by performing a difference calculation on the three-dimensional coordinates of the same feature point in the unpressured reference profile and the pressured profile. Based on the spatial arrangement of the feature points of the pressure profile, the local deformation variables are integrated into a set of deformation data corresponding to the contour of the silicone product, forming product deformation data under preset pressure.

3. The method for creating a visual 3D model of silicone products according to claim 1, characterized in that, Step S2, which involves constructing the initial 3D model of the silicone product based on the solid dimension data, specifically involves: The collected entity size data is hierarchically split into the main support structure size, elastic connection structure size and edge encapsulation structure size according to the structural composition of silicone products. The key contour size and connection boundary size of each structure are extracted. Based on the dimensions of the main support structure, construct the main support frame of the initial three-dimensional model of the silicone product, and input the key contour dimension parameters of the main support structure. Based on the connection boundary dimensions, the dimensional parameters of the elastic connection structure are matched to the corresponding connection positions of the main support frame to construct the elastic connection structure of the initial three-dimensional model; The edge encapsulation structure dimensions are adapted to the edge of the assembly consisting of the main support frame and the elastic connection structure to form a complete initial three-dimensional model of the silicone product.

4. The method for creating a visual 3D model of silicone products according to claim 1, characterized in that, Step S2, which marks the locations of structural stress nodes in the initial 3D model, includes: Based on the surface features of the initial 3D model, regions with abrupt curvature changes in the surface features are identified and determined as stress concentration regions; Within the stress concentration area, stress nodes are arranged along the direction of the curvature change of the surface, so that the distribution of stress nodes adapts to the elastic deformation trend of the silicone product. The stress nodes are marked as structural stress nodes, and the correspondence between the structural stress nodes and the spatial positions of the initial three-dimensional model is established.

5. The method for creating a visual 3D model of silicone products according to claim 1, characterized in that, Step S3 establishes the force-deformation mapping relationship between structural stress nodes and product deformation data, specifically including: Extract the force values ​​and deformation values ​​corresponding to each structural stress node in the product deformation data; Based on the spatial location of the structural stress nodes, the stress values ​​are correlated with the deformation. By combining the elastic rebound characteristics of silicone products, the adaptability of the corresponding correlation results is adjusted to form a force deformation mapping relationship.

6. The method for creating a visual 3D model of silicone products according to claim 1, characterized in that, Step S3, which involves calibrating the deformation response parameters of the structural stress nodes, includes: The structural stress node with the largest deformation was selected from the product deformation data and determined as the calibration reference node. Based on the force-deformation mapping relationship, the theoretical deformation and corresponding force values ​​of the calibration reference nodes are extracted; Calculate the deviation between the theoretical deformation and the actual deformation in the product deformation data; Centered on the calibration reference node, adjust the deformation response parameters of each structural stress node according to the spatial distance between the structural stress node and the reference node; Extract the deformation of the adjusted reference node, verify the deviation between the adjusted reference node deformation and the actual deformation, until the deviation preset meets the requirements.

7. The method for creating a visual 3D model of silicone products according to claim 6, characterized in that, Adjusting the deformation response parameters of each structural stress node according to the spatial distance between the structural stress node and the reference node, specifically including: The structural stress nodes are divided into three categories according to their distance from the reference node: the first category is ≤2mm, the second category is 2mm < distance ≤5mm, and the third category is distance >5mm. The deviation values ​​between the theoretical deformation and the actual deformation in the product deformation data are assigned to the corresponding structural stress nodes of the initialized 3D model in the order of the first, second and third categories. The allocated deviation values ​​are superimposed on the deformation response parameters of the corresponding stress nodes of the initialized 3D model.

8. The method for creating a visual 3D model of silicone products according to claim 1, characterized in that, In step S3, locating the structural stress nodes corresponding to the deformation data in the initial 3D model specifically involves: Extract deformation peaks with deformation values ​​above the average level from product deformation data; Extract the spatial locations of all structural stress nodes in the initial 3D model; The location of the deformation peak point is compared with the location of the stress nodes of the structure one by one; Filter out structural stress nodes with matching locations.

9. The method for creating a visual 3D model of silicone products according to claim 1, characterized in that, Step S4, which involves inputting a preset pressure simulation signal to the calibrated structural stress nodes, includes: Generate a simulated pressure signal corresponding to the preset pressure level; In order of preset pressure levels from low to high, simulated pressure signals are sequentially input to the calibrated structural stress nodes. After each pressure simulation signal is input, the signal is kept stable and the deformation response of the node is recorded; Complete the pressure simulation signal input for all gears to obtain the node deformation response data.

10. A visualization 3D modeling system for silicone products, characterized in that, For performing the visualization 3D modeling method for silicone products as described in claim 1, the visualization 3D modeling system for silicone products comprises: The silicone product data acquisition module is used to collect physical dimension data, material elasticity and resilience parameters, and product deformation data under preset pressure of silicone products. The structural stress node marking module is used to construct an initial 3D model of a silicone product based on solid dimension data and mark the location of structural stress nodes in the initial 3D model. The deformation response parameter calibration module is used to locate the structural stress nodes in the initial 3D model corresponding to the deformation data based on the location of the structural stress nodes; establish a stress-deformation mapping relationship between the structural stress nodes and the product deformation data based on the material elastic rebound parameters; and calibrate the deformation response parameters of the structural stress nodes according to the stress-deformation mapping relationship. The deformation fit verification module is used to input a preset pressure simulation signal to the calibrated structural stress nodes, drive the corresponding area of ​​the initial three-dimensional model to produce deformation, and verify the fit between the deformed three-dimensional model and the product deformation data. The 3D model optimization output module is used to optimize the initial 3D model based on the fit. When the fit meets the preset fit threshold, a visual 3D model reflecting the elastic properties of the silicone product is generated.

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