Automobile door panel assembly and integrated machining system thereof

Abstract

The invention provides an integrated machining system for an automobile door panel, which is used for machining the automobile door panel and comprises the following steps: acquiring specific coordinate information of a high-stress area of the automobile door panel, and further determining geometrical shape data and thickness distribution data of a reinforced structure; and obtaining adaptability evaluation results of the automobile door panel under different use conditions, judging whether a local enhancement scheme needs to be adjusted or not, and if the adaptability is insufficient, re-matching through the material combination database, and outputting a final optimization scheme for processing. According to the method, the strength of the automobile door panel is judged in combination with the stress analysis result, and machining and quality inspection in the manufacturing process of the automobile door panel are achieved based on the strength judgment result; meanwhile, the automobile door panel structural member can be comprehensively evaluated, the performance and the life cycle of the automobile door panel structural member under various load conditions are ensured to meet the requirements, the high-stress area of the automobile door panel is effectively enhanced in the production and manufacturing process, and the overall performance and reliability of the automobile door panel are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile door panel assembly and processing thereof, and in particular to an automobile door panel assembly and an integrated processing system thereof. Background Art

[0002] As a crucial component of vehicle structure, the performance of automotive door panels directly impacts overall vehicle safety and user experience, particularly in terms of operational feel and collision protection. Door panel rigidity not only impacts smooth opening and closing but also plays a crucial role in protecting occupants in accidents. Therefore, improving door panel rigidity has become a critical research area within the automotive manufacturing industry.

[0003] However, many current automotive door panel manufacturing solutions lack significant rigidity. Traditional processes often rely on single materials or simple structural designs, making it difficult to strike a balance between weight, cost, and strength. This results in door panels being susceptible to deformation or fatigue damage over long-term use, particularly in high-stress areas.

[0004] Against this backdrop, improving the rigidity of automotive door panels presents significant technical challenges. Primarily, ensuring the panel's shape stability and structural integrity under complex operating conditions requires breakthroughs in material selection and structural design. This challenge further extends to effectively increasing localized rigidity support in stress-concentrated areas, as these areas are often the starting point for deformation and failure. Failure to precisely address these localized rigidity issues will hinder the overall reliability of the door panel, compromising its fit and long-term durability.

[0005] Therefore, how to ensure the overall lightweight of the automobile door panel through material combination and structural optimization, implement effective local reinforcement in the stress concentration area, and ensure the shape stability and fitting clearance accuracy under various usage conditions has become a key issue that needs to be urgently addressed in this study. Summary of the Invention

[0006] The present invention provides an automobile door panel assembly and an integrated processing system thereof, which are used to achieve the purpose of ensuring the overall lightweight of the automobile door panel through material combination and structural optimization, while implementing effective local reinforcement in stress concentration areas, and ensuring shape stability and fitting clearance accuracy under various usage conditions.

[0007] The present invention provides an integrated processing system for automobile door panel assembly, which is used to process automobile door panels and specifically includes: Obtain the specific coordinate information of the high-stress areas of the automobile door panel. Based on the coordinate information of the high-stress areas, match the material ratio scheme that can achieve a balance between strength and weight. Based on the material ratio scheme, confirm the area of ​​local reinforcement structure in the automobile door panel in the stress concentration area, determine the reinforcement design parameters of the local reinforcement structure, and further determine the geometric shape data and thickness distribution data of the reinforcement structure. The stress distribution of the reinforced structure's geometric shape data is verified and optimized to obtain an optimized structural design. Based on the optimized structural design, the clearance data between the entire door panel and the local reinforced area is obtained to determine whether the clearance value is within the preset range. If not, the local reinforced boundary is adjusted to determine the final clearance accuracy data. The final gap accuracy data is compared with the shape stability requirements to obtain the deformation trend of the automobile door panel under different usage conditions, determine whether the deformation meets the preset standards, and obtain the corresponding deformation control parameters; use the deformation control parameters to conduct damage assessment under long-term usage conditions, obtain fatigue life data of the automobile door panel in high-stress areas, and determine whether further optimization is needed; and, based on the fatigue life data, obtain the adaptability assessment results of the automobile door panel under different usage conditions to determine whether the local reinforcement plan needs to be adjusted. If the adaptability is insufficient, re-match through the material combination database, output the final optimization plan, and use it for automobile door panel processing.

[0008] Preferably, stress distribution data of the structural component is extracted, a stress value of each grid cell is obtained, and the stress value is stored as an initial stress data set; the stress values ​​of all grid cells in the initial stress data set are arranged from high to low to obtain a sorted stress value list; grid cells in the sorted stress value list that are within a high stress range are extracted to determine a preliminary range of the high stress area; Obtain the corresponding spatial coordinate data within the grid cells within the preliminary range to form a high stress area coordinate set; if the number of coordinate points in the high stress area coordinate set exceeds a preset threshold, group the coordinate points using a clustering algorithm to determine whether there are multiple independent high stress areas; The average stress value of the grouped high-stress areas is calculated to obtain the representative stress value of the independent high-stress areas. The representative stress values ​​of the independent high-stress areas are sorted to prioritize the areas and determine the coordinate range corresponding to the area with the highest stress peak.

[0009] Preferably, performance parameter data related to stress peak and coordinate range are extracted from a preset material database, screening conditions are set for strength thresholds and density constraints related to the performance parameter data, and various parameters of the composite materials are checked one by one through a comparison module to obtain a preliminary list of materials that meet the conditions; Each composite material in the preliminary materials list is divided into regions. Based on the stress distribution characteristics within the coordinate range, the options in the materials list are correlated and compared with the local reinforcement requirements to determine candidate material combinations suitable for different regions. If the number of candidate material combinations exceeds a preset threshold, the ranking module prioritizes the performance parameters of each group of materials to obtain the combination that best matches the strength threshold and density constraints, thereby determining the optimal material ratio. Based on the optimal material ratio, a local reinforcement plan within the coordinate range is generated, and the material ratio is bound to the specific data of the regional division to obtain the final composite material application plan.

[0010] Preferably, the material ratio data is entered into the system, and a preliminary analysis is performed on the high stress area to obtain initial geometric shape parameters; preliminary distribution data of the thickness gradient is determined based on the stress distribution characteristics of the high stress area according to the initial geometric shape parameters; if the deviation of the preliminary distribution data of the thickness gradient exceeds a preset threshold, the geometric shape parameters are iteratively adjusted to obtain optimized shape parameters; Based on the optimized shape parameters and material ratio data, the stress concentration points in the high-stress area are secondary optimized to obtain the adjusted thickness gradient distribution; the degree of match between the adjusted thickness gradient distribution and the stress area is judged. If the degree of match is lower than the preset standard, the gradient distribution is adjusted and the final distribution data is determined; the final distribution data is used in combination with the requirements of shape adjustment to finally calibrate the geometric shape parameters to obtain geometric parameters that meet the stress distribution requirements; the complete optimization solution data for the high-stress area is generated through the calibrated geometric parameters and the final distribution data.

[0011] Preferably, a preliminary stress distribution map is obtained based on the initial parameter data of the geometric shape parameters; data of local stress values ​​are extracted from the preliminary stress distribution map and it is determined whether the data exceeds a preset threshold value; if the data exceeds the preset threshold value, a parameter adjustment process is triggered; Determining a range of geometric shape parameters that need to be updated based on the parameter adjustment process; generating a new parameter combination for the geometric shape parameter range to obtain adjusted geometric shape data; performing stress distribution calculations on the adjusted geometric shape data to obtain an updated stress distribution map; extracting new local stress values ​​from the updated stress distribution map; if the new local stress values ​​still exceed a preset threshold, repeating the parameter adjustment process to determine a further optimized parameter combination; The final stress distribution of the optimized parameter combination is verified to obtain the stress distribution results that meet the preset threshold.

[0012] Preferably, the corresponding parameter optimization results are obtained based on the data of the structural part type and geometric shape of the automobile door panel, and the initial matching relationship between the structural part type and the reinforced area is calculated to obtain the initial value data of the fitting clearance; If the initial value data of the fit clearance exceeds the preset range, the boundary contour of the enhanced area is adjusted to obtain adjusted contour data; the adjusted contour data is re-matched with the structural part shape to determine a new fit clearance value; The new fit clearance value is compared with the preset range. If it still exceeds the preset range, the contour data is optimized through the boundary iteration module to obtain updated clearance value data; the updated clearance value data is compared with the preset range to determine whether it meets the clearance accuracy requirements, and the final clearance accuracy data is output as the result.

[0013] Preferably, deformation distribution results of the structural component in different areas are obtained based on the gap accuracy data, and specific deformation distribution data of the deformation distribution results are determined; if the deformation variable in the deformation distribution result exceeds a preset deformation variable standard value, relevant geometric shape parameters are extracted to obtain a parameter range that needs to be adjusted; Correct the curvature control factor of the parameter range that needs to be adjusted, obtain the adjusted contour boundary data, and determine a new geometric shape parameter combination; Through the regional matching relationship module, the new geometric shape parameter combination is compared with the load condition combination to determine whether it meets the preset deformation variable standard value and obtain the final curvature control factor adjustment result.

[0014] Preferably, stress value information of key areas is extracted from the high stress area of ​​the deformation distribution data, and the life cycle of the high stress area of ​​the deformation distribution data is predicted. If the predicted life cycle is lower than a preset threshold, the fatigue resistance coefficient index in the material combination is re-matched; the stress value information is classified to obtain a classified stress distribution data set; The damage degree of high-stress areas in the classified stress distribution data set is quantitatively analyzed. During the analysis, the fatigue damage value of each area is determined in combination with the fatigue resistance coefficient index. If the fatigue damage value is higher than the preset threshold, the life cycle prediction module is used to calculate the life cycle of the high-stress area to obtain predicted life data. The predicted life data is then compared with the preset threshold to determine whether it meets the requirements. If the predicted life data is lower than the preset threshold, the fatigue resistance index is re-matched through the material combination adjustment module, and the material combination information that meets the requirements is extracted from the preset material database to obtain the adjusted material combination plan.

[0015] Preferably, the adaptability level of the material combination is evaluated based on the predicted life data and compared with a preset level standard table. If the adaptability level of the material combination is lower than a preset threshold, the combination is judged to be unqualified, thereby obtaining a preliminary level judgment conclusion; If the material combination determined in the preliminary grade judgment conclusion does not meet the standards, candidate material combinations that meet the strength decay rate constraints are extracted from the material database, and various parameters are compared to determine at least one alternative material combination that meets the constraints; Obtain detailed performance data of the alternative material combination, compare it with the performance data of the original material combination and calculate the performance difference value to determine whether the alternative material combination has higher material adaptability; If the adaptability of the alternative material combination is better than that of the original combination, it will be recorded as the final screening result and updated to the material database through the data storage module to complete the optimization adjustment; and it will be used for the processing, manufacturing and / or quality inspection of automobile door panels.

[0016] The present invention also provides an automobile door panel assembly, which includes: an automobile door panel body; the automobile door panel body is obtained after processing, manufacturing and / or quality inspection are completed through an automobile door panel assembly integrated processing system.

[0017] The working principle and beneficial effects of the present invention are as follows: The present invention provides an integrated processing system for automobile door panel assemblies, which is used for processing automobile door panels. The system comprises: Based on the 3D finite element model of the automobile door panel, the specific coordinate information of the high-stress area of ​​the automobile door panel is obtained. Based on the coordinate information of the high-stress area, a material ratio scheme that can achieve a balance between strength and weight is matched. Based on the material ratio scheme, the local reinforcement structure of the automobile door panel in the stress concentration area is confirmed, the reinforcement design parameters of the local reinforcement structure are determined, and the geometric shape data and thickness distribution data of the reinforcement structure are further determined. The stress distribution of the reinforced structure's geometric shape data is verified and optimized to obtain an optimized structural design. Based on the optimized structural design, the clearance data between the entire door panel and the local reinforced area is obtained to determine whether the clearance value is within the preset range. If not, the local reinforced boundary is adjusted to determine the final clearance accuracy data. The final gap accuracy data is compared with the shape stability requirements to obtain the deformation trend of the automobile door panel under different usage conditions, determine whether the deformation meets the preset standards, and obtain the corresponding deformation control parameters; use the deformation control parameters to conduct damage assessment under long-term usage conditions, obtain fatigue life data of the automobile door panel in high-stress areas, and determine whether further optimization is needed; and, based on the fatigue life data, obtain the adaptability assessment results of the automobile door panel under different usage conditions to determine whether the local reinforcement plan needs to be adjusted. If the adaptability is insufficient, re-match through the material combination database to output the final optimization plan.

[0018] In the present invention, a three-dimensional model of the automobile door panel is built, and then a stress analysis is performed on the modeled model. The strength of the automobile door panel is judged in combination with the stress analysis result, and the processing and quality inspection of the automobile door panel during the manufacturing process are realized based on the strength judgment result. At the same time, the present invention can comprehensively evaluate the automobile door panel structural parts to ensure that their performance and life cycle under various load conditions meet the requirements, realize the effective reinforcement of the high stress area of ​​the automobile door panel during the production and manufacturing process, and improve the overall performance and reliability of the automobile door panel.

[0019] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0020] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 Schematic diagram of the system flow of the present invention; Figure 2 It is a structural schematic diagram of the present invention.

[0022] Among them, 1-car door panel body. DETAILED DESCRIPTION

[0023] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0024] according to Figure 1-2 As shown, an embodiment of the present invention provides an integrated processing system for automobile door panel assembly, which is used to process automobile door panels, specifically including: Obtain the specific coordinate information of the high-stress areas of the automobile door panel. Based on the coordinate information of the high-stress areas, match the material ratio scheme that can achieve a balance between strength and weight. Based on the material ratio scheme, confirm the area of ​​local reinforcement structure in the automobile door panel in the stress concentration area, determine the reinforcement design parameters of the local reinforcement structure, and further determine the geometric shape data and thickness distribution data of the reinforcement structure. The stress distribution of the reinforced structure's geometric shape data is verified and optimized to obtain an optimized structural design. Based on the optimized structural design, the clearance data between the entire door panel and the local reinforced area is obtained to determine whether the clearance value is within the preset range. If not, the local reinforced boundary is adjusted to determine the final clearance accuracy data. The final gap accuracy data is compared with the shape stability requirements to obtain the deformation trend of the automobile door panel under different usage conditions, determine whether the deformation meets the preset standards, and obtain the corresponding deformation control parameters; use the deformation control parameters to conduct damage assessment under long-term usage conditions, obtain fatigue life data of the automobile door panel in high-stress areas, and determine whether further optimization is needed; and, based on the fatigue life data, obtain the adaptability assessment results of the automobile door panel under different usage conditions to determine whether the local reinforcement plan needs to be adjusted. If the adaptability is insufficient, re-match through the material combination database, output the final optimization plan, and use it for automobile door panel processing.

[0025] In the present invention, by obtaining the distribution data of high stress areas in the three-dimensional finite element model, the composite material combination is matched according to the stress peak coordinate range to generate a local reinforcement material ratio scheme. The geometric shape parameters and thickness gradient distribution of the high stress area are calculated by the structural optimization algorithm, and the stress distribution is verified by the simulation analysis module. Based on the fitting clearance between the structural part and the reinforced area, the contour of the reinforced area is adjusted by the boundary iteration algorithm. The present invention also uses deformation prediction models and fatigue damage models to comprehensively evaluate the structural parts to ensure that their performance and life cycle under various load conditions meet the requirements. Through this series of optimization steps, the present invention achieves effective enhancement of the high stress areas of the structural parts and improves the overall performance and reliability of the structural parts.

[0026] Specifically, a 3D finite element model of an automobile door panel is acquired to obtain distribution data for high-stress areas. Stress values ​​are sorted for stress concentration areas, the location and range of the stress peaks are determined, and the specific coordinate information for the high-stress areas is output. The coordinate information for the high-stress areas is then matched and analyzed using a material properties database to identify suitable composite material combinations for local reinforcement and determine a material ratio that balances strength and weight. The material ratio is then input into a structural optimization algorithm to obtain design parameters for the local reinforcement in the stress concentration areas, determining the geometry and thickness distribution of the reinforcement structure. A simulation analysis module is used to verify the stress distribution of the reinforcement geometry. If the verification results indicate that the local stress value exceeds a preset threshold, the geometric parameters are adjusted and recalculated to obtain an optimized structural design. Based on the optimized structural design, clearance data is obtained between the overall door panel and the local reinforcement areas to determine whether the clearance value is within a preset range. If not, an iterative algorithm is used to adjust the local reinforcement boundaries to determine the final clearance accuracy data. By comparing the final clearance accuracy data with the shape stability requirements, deformation trends of the door panel under various operating conditions are determined. Deformation control parameters are then output to determine whether the deformation meets the preset standards. Based on the deformation control parameters, the fatigue damage prediction model is used to conduct damage assessment under long-term use conditions, obtain fatigue life data of door panels in high-stress areas, and determine whether further material or structure optimization is needed.

[0027] Based on fatigue life data, the adaptability evaluation results of door panels under different usage conditions are obtained to determine whether the local reinforcement plan needs to be adjusted. If the adaptability is insufficient, the material combination database is used for rematching and the final optimization plan is output for processing automobile door panels.

[0028] In the present invention, a three-dimensional model of the automobile door panel is built, and then a stress analysis is performed on the modeled model. The strength of the automobile door panel is judged in combination with the stress analysis result, and the processing and quality inspection of the automobile door panel during the manufacturing process are realized based on the strength judgment result. At the same time, the present invention can comprehensively evaluate the automobile door panel structural parts to ensure that their performance and life cycle under various load conditions meet the requirements, realize the effective reinforcement of the high stress area of ​​the automobile door panel during the production and manufacturing process, and improve the overall performance and reliability of the automobile door panel.

[0029] In one embodiment, stress distribution data of a structural component is extracted, a stress value of each grid cell is obtained, and the stress value is stored as an initial stress data set; the stress values ​​of all grid cells in the initial stress data set are arranged from high to low to obtain a sorted stress value list; grid cells in the sorted stress value list that are within a high stress range are extracted to determine a preliminary range of the high stress area; Obtain the corresponding spatial coordinate data within the grid cells within the preliminary range to form a high stress area coordinate set; if the number of coordinate points in the high stress area coordinate set exceeds a preset threshold, group the coordinate points using a clustering algorithm to determine whether there are multiple independent high stress areas; The average stress value of the grouped high-stress areas is calculated to obtain the representative stress value of the independent high-stress areas. The representative stress values ​​of the independent high-stress areas are sorted to prioritize the areas and determine the coordinate range corresponding to the area with the highest stress peak.

[0030] In this solution, specifically, the stress distribution data of the structural parts are extracted by three-dimensional finite element simulation software, and the stress value of each grid unit is obtained and stored as an initial stress data set. For the initial stress data set, the stress values ​​of all grid units are arranged from high to low using a sorting algorithm to obtain a sorted stress value list. According to the sorted stress value list, the grid units within the high stress range are extracted to determine the preliminary range of the high stress area. For the grid units within the preliminary range, the corresponding spatial coordinate data are obtained to form the high stress area coordinate set. If the number of coordinate points in the high stress area coordinate set exceeds a preset threshold, the coordinate points are grouped using a clustering algorithm to determine whether there are multiple independent high stress areas. For the grouped areas, the stress average value is calculated to obtain the representative stress value of the independent high stress area. According to the representative stress value, the multiple areas are prioritized using a sorting method to determine the coordinate range corresponding to the area with the highest stress peak.

[0031] In one embodiment, performance parameter data related to stress peaks and coordinate ranges are extracted from a preset material database, screening conditions are set for strength thresholds and density constraints related to the performance parameter data, and various parameters of the composite materials are checked one by one through a comparison module to obtain a preliminary list of materials that meet the conditions; Each composite material in the preliminary materials list is divided into regions. Based on the stress distribution characteristics within the coordinate range, the options in the materials list are correlated and compared with the local reinforcement requirements to determine candidate material combinations suitable for different regions. If the number of candidate material combinations exceeds a preset threshold, the ranking module prioritizes the performance parameters of each group of materials to obtain the combination that best matches the strength threshold and density constraints, thereby determining the optimal material ratio. Based on the optimal material ratio, a local reinforcement plan within the coordinate range is generated, and the material ratio is bound to the specific data of the regional division to obtain the final composite material application plan.

[0032] In this solution, specifically, performance parameter data related to the stress peak and the coordinate range are extracted from a pre-established material database, screening conditions are set for the strength threshold and the density constraint, and various parameters of the composite material are checked one by one through a comparison module to obtain a preliminary list of materials that meet the conditions.

[0033] Based on the preliminary materials list, each composite material is divided into regions using matching logic. Combined with the stress distribution characteristics within the coordinate range, the options in the materials list are correlated and compared with the local reinforcement requirements to determine candidate material combinations suitable for different regions.

[0034] If the number of candidate material combinations exceeds a preset threshold, the performance parameters of each group of materials are prioritized and evaluated through a sorting module to obtain the combination that best matches the strength threshold and the density constraint, and determine the optimal material ratio.

[0035] According to the optimal material ratio, a local enhancement plan within the coordinate range is generated, and the material ratio is bound to the specific data of the regional division through a data integration module to obtain a final composite material application plan.

[0036] In one embodiment, material ratio data is entered into the system, and a preliminary analysis is performed on the high stress area to obtain initial geometric shape parameters; preliminary distribution data of the thickness gradient is determined based on the stress distribution characteristics of the high stress area according to the initial geometric shape parameters; if the deviation of the preliminary distribution data of the thickness gradient exceeds a preset threshold, the geometric shape parameters are iteratively adjusted to obtain optimized shape parameters; Based on the optimized shape parameters and material ratio data, the stress concentration points in the high-stress area are secondary optimized to obtain the adjusted thickness gradient distribution; the degree of match between the adjusted thickness gradient distribution and the stress area is judged. If the degree of match is lower than the preset standard, the gradient distribution is adjusted and the final distribution data is determined; the final distribution data is used in combination with the requirements of shape adjustment to finally calibrate the geometric shape parameters to obtain geometric parameters that meet the stress distribution requirements; the complete optimization solution data for the high-stress area is generated through the calibrated geometric parameters and the final distribution data.

[0037] Specifically, this solution involves entering material ratio data into the system and using a structural optimization algorithm to perform a preliminary analysis of high-stress areas to obtain initial geometric shape parameters. Based on the initial geometric shape parameters, the finite element analysis method is applied to the stress distribution characteristics of the high-stress area to determine preliminary distribution data for the thickness gradient. After obtaining the preliminary distribution data for the thickness gradient, if the deviation of the distribution data exceeds a preset threshold, the geometric shape parameters are iteratively adjusted to obtain optimized shape parameters. Using the optimized shape parameters and the material ratio data, a secondary calculation is performed on the stress concentration points in the high-stress area to obtain an adjusted thickness gradient distribution. Based on the adjusted thickness gradient distribution, the degree of match between the gradient distribution and the stress area is analyzed. If the degree of match falls below the preset standard, the gradient distribution is fine-tuned using the finite element analysis method to determine the final distribution data. After obtaining the final distribution data, the geometric shape parameters are finally calibrated based on the shape adjustment requirements to obtain geometric parameters that meet the stress distribution requirements. The calibrated geometric parameters and the final distribution data are used to generate complete optimization solution data for the high-stress area.

[0038] In one embodiment, a preliminary stress distribution map is obtained based on initial parameter data of geometric shape parameters; local stress value data is extracted from the preliminary stress distribution map and it is determined whether it exceeds a preset threshold value; if it exceeds the preset threshold value, a parameter adjustment process is triggered; Determining a range of geometric shape parameters that need to be updated based on the parameter adjustment process; generating a new parameter combination for the geometric shape parameter range to obtain adjusted geometric shape data; performing stress distribution calculations on the adjusted geometric shape data to obtain an updated stress distribution map; extracting new local stress values ​​from the updated stress distribution map; if the new local stress values ​​still exceed a preset threshold, repeating the parameter adjustment process to determine a further optimized parameter combination; The final stress distribution of the optimized parameter combination is verified to obtain the stress distribution results that meet the preset threshold.

[0039] In this solution, specifically, the initial parameter data of the geometric shape is obtained through the simulation analysis module, and a preliminary stress distribution map is obtained by using the stress distribution calculation. Based on the preliminary stress distribution map, the data of the local stress value is extracted, and it is determined whether it exceeds the preset threshold. If it exceeds the preset threshold, the parameter adjustment process is triggered to determine the range of geometric shape parameters that need to be updated. For the determined geometric shape parameter range, a new parameter combination is generated using a pre-established optimization model to obtain the adjusted geometric shape data. The adjusted geometric shape data is re-input into the simulation analysis module for stress distribution calculation to obtain an updated stress distribution map. Based on the updated stress distribution map, new local stress values ​​are extracted. If the new local stress values ​​still exceed the preset threshold, the parameter adjustment process is repeated to determine a further optimized parameter combination. The optimized parameter combination is obtained and input into the simulation analysis module for final stress distribution verification to obtain a stress distribution result that meets the preset threshold. The corresponding geometric shape parameter information is generated based on the final stress distribution result.

[0040] In one embodiment, the corresponding parameter optimization results are obtained based on the data of the structural part type and geometric shape of the automobile door panel, and the initial matching relationship between the structural part type and the reinforced area is calculated to obtain the initial value data of the fitting clearance; If the initial value data of the fit clearance exceeds the preset range, the boundary contour of the enhanced area is adjusted to obtain adjusted contour data; the adjusted contour data is re-matched with the structural part shape to determine a new fit clearance value; The new fit clearance value is compared with the preset range. If it still exceeds the preset range, the contour data is optimized through the boundary iteration module to obtain updated clearance value data; the updated clearance value data is compared with the preset range to determine whether it meets the clearance accuracy requirements, and the final clearance accuracy data is output as the result.

[0041] In this solution, specifically, according to the data of the structural part type and geometric shape, the corresponding parameter optimization results are obtained from a pre-established database, and the initial matching relationship between the structural part type and the reinforced area is calculated to obtain the initial value data of the fitting clearance.

[0042] If the initial clearance value exceeds the preset range, the boundary iteration module adjusts the boundary contour of the enhanced region, obtains the adjusted contour data, and re-matches the adjusted contour data with the structural part shape to determine a new clearance value. The region matching module compares the new clearance value with the preset range. If it still exceeds the preset range, the boundary iteration module continues to optimize the contour data to obtain an updated clearance value. The accuracy data recording module compares the updated clearance value with the preset range to determine whether it meets the clearance accuracy requirements and outputs the final clearance accuracy data as the result.

[0043] In one embodiment, deformation distribution results of the structural component in different regions are obtained based on the gap accuracy data, and specific deformation distribution data of the deformation distribution results are determined; if the deformation variable in the deformation distribution result exceeds a preset deformation variable standard value, relevant geometric shape parameters are extracted to obtain a parameter range that needs to be adjusted; Correct the curvature control factor of the parameter range that needs to be adjusted, obtain the adjusted contour boundary data, and determine a new geometric shape parameter combination; Through the regional matching relationship module, the new geometric shape parameter combination is compared with the load condition combination to determine whether it meets the preset deformation variable standard value and obtain the final curvature control factor adjustment result.

[0044] In this solution, specifically, based on the gap accuracy data, a variety of load condition combinations are processed through the deformation prediction module to obtain the deformation distribution results of the structural member in different areas, and determine the specific data of the deformation distribution. If the deformation variable in the deformation distribution result exceeds the preset deformation variable standard value, the parameter optimization recording module extracts the relevant geometric shape parameters to obtain the parameter range that needs to be adjusted. For the parameter range that needs to be adjusted, the curvature control factor is corrected using the boundary adjustment logic, the adjusted contour boundary data is obtained, and the new geometric shape parameter combination is determined. The new geometric shape parameter combination is compared with the load condition combination through the area matching relationship module to determine whether it meets the preset deformation variable standard value, and the final curvature control factor adjustment result is obtained.

[0045] In one embodiment, stress value information of key areas in the high stress area of ​​the deformation distribution data is extracted, and the life cycle of the high stress area of ​​the deformation distribution data is predicted. If the predicted life cycle is lower than a preset threshold, the fatigue resistance coefficient index in the material combination is re-matched; the stress value information is classified to obtain a classified stress distribution data set; The damage degree of high-stress areas in the classified stress distribution data set is quantitatively analyzed. During the analysis, the fatigue damage value of each area is determined in combination with the fatigue resistance coefficient index. If the fatigue damage value is higher than the preset threshold, the life cycle prediction module is used to calculate the life cycle of the high-stress area to obtain predicted life data. The predicted life data is then compared with the preset threshold to determine whether it meets the requirements. If the predicted life data is lower than the preset threshold, the fatigue resistance index is re-matched through the material combination adjustment module, and the material combination information that meets the requirements is extracted from the preset material database to obtain the adjusted material combination plan.

[0046] In this solution, specifically, according to the deformation distribution data, a pre-established stress distribution calculation module is used to extract stress value information of key areas from the high stress area. Based on the deformation distribution data, a fatigue damage model is used to predict the life cycle of the high stress area. If the predicted life is lower than a preset threshold, the fatigue resistance coefficient index in the material combination is re-matched.

[0047] The stress value information is classified and processed to obtain a classified stress distribution data set.

[0048] The fatigue damage assessment module is used to quantitatively analyze the damage degree of the high stress area using the classified stress distribution data set, and the fatigue damage value of each area is determined in combination with the fatigue resistance coefficient index during the analysis.

[0049] If the fatigue damage value is higher than a preset threshold, the life cycle prediction module is used to calculate the life cycle of the high stress area to obtain predicted life data, and the predicted life data is compared with the preset threshold to determine whether it meets the requirements.

[0050] If the predicted life data is lower than a preset threshold, the fatigue resistance index is re-matched through the material combination adjustment module, and the material combination information that meets the requirements is extracted from the preset material database to obtain an adjusted material combination scheme.

[0051] In one embodiment, the adaptability level of the material combination is evaluated based on the predicted life data and compared with a preset level standard table. If the adaptability level of the material combination is lower than a preset threshold, the combination is determined to be unqualified, thereby obtaining a preliminary level judgment conclusion. If the material combination determined in the preliminary grade judgment conclusion does not meet the standards, candidate material combinations that meet the strength decay rate constraints are extracted from the material database, and various parameters are compared to determine at least one alternative material combination that meets the constraints; Obtain detailed performance data of the alternative material combination, compare it with the performance data of the original material combination and calculate the performance difference value to determine whether the alternative material combination has higher material adaptability; If the adaptability of the alternative material combination is better than that of the original combination, it will be recorded as the final screening result and updated to the material database through the data storage module to complete the optimization adjustment; and it will be used for the processing, manufacturing and / or quality inspection of automobile door panels.

[0052] In this solution, specifically, based on the life prediction results, the adaptability level of the material combination is evaluated and compared with a pre-established grade standard table. If the adaptability level of the material combination is lower than a preset threshold, the combination is determined to be substandard and a preliminary grade judgment conclusion is obtained.

[0053] According to the grade judgment conclusion, if it is determined that the material combination does not meet the standard, a candidate material combination that meets the strength decay rate constraint is extracted from the material database, and the parameters are compared using a data matching module to determine at least one alternative material combination that meets the constraint conditions.

[0054] For the alternative material combination, its detailed performance data is obtained, and by comparing it with the performance data of the original material combination, a performance difference value is calculated using a statistical module to determine whether the alternative material combination has higher material adaptability.

[0055] Based on the judgment result of the performance difference value, if the adaptability of the alternative material combination is better than the original combination, it will be recorded as the final screening result, updated to the material database through the data storage module, and the optimization adjustment will be completed and used for the processing, manufacturing and / or quality inspection of the automobile door panel assembly.

[0056] The present invention also provides an automobile door panel assembly, which includes: an automobile door panel body 1; The automobile door panel body 1 is obtained after being processed and manufactured by an automobile door panel integrated processing system and / or undergoing quality inspection.

[0057] The present invention, through material combination and structural optimization, ensures the lightweight of the automobile door panel body 1 while implementing effective local reinforcement in the stress concentration area, and ensures the shape stability and fitting clearance accuracy under various usage conditions.

[0058] In the present invention, a three-dimensional model of the automobile door panel is built, and then a stress analysis is performed on the modeled model. The strength of the automobile door panel is judged in combination with the stress analysis result, and the processing and quality inspection of the automobile door panel during the manufacturing process are realized based on the strength judgment result. At the same time, the present invention can comprehensively evaluate the automobile door panel structural parts to ensure that their performance and life cycle under various load conditions meet the requirements, realize the effective reinforcement of the high stress area of ​​the automobile door panel during the production and manufacturing process, and improve the overall performance and reliability of the automobile door panel.

[0059] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. An integrated processing system for automobile door panel assembly, characterized in that: include: Obtain the specific coordinate information of the high-stress area of ​​the car door panel, and match the material ratio solution that can achieve the balance between strength and weight based on the coordinate information of the high-stress area; Based on the material ratio scheme, the local reinforcement structure of the automobile door panel in the stress concentration area is confirmed, the reinforcement design parameters of the local reinforcement structure are determined, and the geometric shape data and thickness distribution data of the reinforcement structure are further determined; The stress distribution of the reinforced structure's geometric shape data is verified and optimized to obtain an optimized structural design. Based on the optimized structural design, the clearance data between the entire door panel and the local reinforced area is obtained to determine whether the clearance value is within the preset range. If not, the local reinforced boundary is adjusted to determine the final clearance accuracy data. The final gap accuracy data is compared with the shape stability requirements to obtain the deformation trend of the automobile door panel under different usage conditions, determine whether the deformation meets the preset standards, and obtain the corresponding deformation control parameters; use the deformation control parameters to conduct damage assessment under long-term usage conditions, obtain fatigue life data of the automobile door panel in high-stress areas, and determine whether further optimization is needed; and, based on the fatigue life data, obtain the adaptability assessment results of the automobile door panel under different usage conditions to determine whether the local reinforcement plan needs to be adjusted. If the adaptability is insufficient, re-match through the material combination database, output the final optimization plan, and use it for automobile door panel processing.

2. The integrated processing system for automobile door panel assembly according to claim 1, characterized in that: Extract the stress distribution data of the structural parts, obtain the stress value of each grid element, and store it as the initial stress data set; Arrange the stress values ​​of all grid cells in the initial stress data set from high to low to obtain a sorted stress value list; Extract the mesh elements in the high stress range from the sorted stress value list to determine the preliminary range of the high stress area; Obtain the corresponding spatial coordinate data within the grid cells within the preliminary range to form a high stress area coordinate set; if the number of coordinate points in the high stress area coordinate set exceeds a preset threshold, group the coordinate points using a clustering algorithm to determine whether there are multiple independent high stress areas; Calculate the average stress value of the grouped high stress areas to obtain the representative stress value of the independent high stress areas; The representative stress values ​​of the independent high stress areas are sorted, and the coordinate range corresponding to the area with the highest stress peak is determined after the areas are prioritized.

3. The integrated processing system for automobile door panel assembly according to claim 2, characterized in that: Extract performance parameter data related to stress peaks and coordinate ranges from a preset material database, set screening conditions for strength thresholds and density constraints related to the performance parameter data, and use the comparison module to verify each parameter of the composite material one by one and obtain a preliminary list of materials that meet the conditions; Each composite material in the preliminary materials list is divided into regions. Based on the stress distribution characteristics within the coordinate range, the options in the materials list are correlated and compared with the local reinforcement requirements to determine candidate material combinations suitable for different regions. If the number of candidate material combinations exceeds a preset threshold, the ranking module prioritizes the performance parameters of each group of materials to obtain the combination that best matches the strength threshold and density constraints, thereby determining the optimal material ratio. Based on the optimal material ratio, a local reinforcement plan within the coordinate range is generated, and the material ratio is bound to the specific data of the regional division to obtain the final composite material application plan.

4. The integrated processing system for automobile door panel assembly according to claim 3, characterized in that: Enter the material ratio data into the system, conduct a preliminary analysis of the high stress area to obtain the initial geometric shape parameters; determine the preliminary distribution data of the thickness gradient based on the stress distribution characteristics of the high stress area according to the initial geometric shape parameters; If the deviation of the preliminary distribution data of the thickness gradient exceeds a preset threshold, the geometric shape parameters are iteratively adjusted to obtain optimized shape parameters; Based on the optimized shape parameters and material ratio data, the stress concentration points in the high-stress area are secondary optimized to obtain the adjusted thickness gradient distribution; the degree of match between the adjusted thickness gradient distribution and the stress area is judged. If the degree of match is lower than the preset standard, the gradient distribution is adjusted and the final distribution data is determined; the final distribution data is used in combination with the requirements of shape adjustment to finally calibrate the geometric shape parameters to obtain geometric parameters that meet the stress distribution requirements; the complete optimization solution data for the high-stress area is generated through the calibrated geometric parameters and the final distribution data.

5. The integrated processing system for automobile door panel assembly according to claim 4, characterized in that: Based on the initial parameter data of the geometric shape parameters, a preliminary stress distribution map is obtained; data of local stress values ​​are extracted from the preliminary stress distribution map and it is determined whether they exceed a preset threshold value. If so, a parameter adjustment process is triggered; Determining the range of geometric shape parameters that need to be updated based on the parameter adjustment process; generating a new parameter combination for the geometric shape parameter range to obtain adjusted geometric shape data; Perform stress distribution calculations on the adjusted geometric shape data to obtain an updated stress distribution map; extract new local stress values ​​from the updated stress distribution map; if the new local stress values ​​still exceed the preset threshold, repeat the parameter adjustment process to determine a further optimized parameter combination; The final stress distribution of the optimized parameter combination is verified to obtain the stress distribution results that meet the preset threshold.

6. The integrated processing system for automobile door panel assembly according to claim 5, characterized in that: Obtain the corresponding parameter optimization results based on the structural part type and geometric shape data of the automobile door panel, calculate the initial matching relationship between the structural part type and the reinforced area, and obtain the initial value data of the fitting clearance; If the initial value data of the fit clearance exceeds the preset range, the boundary contour of the enhanced area is adjusted to obtain adjusted contour data; Re-match the adjusted profile data with the structural part type to determine the new fit clearance value; The new fit clearance value is compared with the preset range. If it still exceeds the preset range, the contour data is optimized through the boundary iteration module to obtain updated clearance value data; the updated clearance value data is compared with the preset range to determine whether it meets the clearance accuracy requirements, and the final clearance accuracy data is output as the result.

7. The integrated processing system for automobile door panel assembly according to claim 6, characterized in that: Obtain the deformation distribution results of the structural component in different areas based on the gap accuracy data, and determine the specific deformation distribution data of the deformation distribution results; if the deformation variable in the deformation distribution results exceeds the preset deformation variable standard value, extract the relevant geometric shape parameters to obtain the parameter range that needs to be adjusted; Correct the curvature control factor of the parameter range that needs to be adjusted, obtain the adjusted contour boundary data, and determine a new geometric shape parameter combination; Through the regional matching relationship module, the new geometric shape parameter combination is compared with the load condition combination to determine whether it meets the preset deformation variable standard value and obtain the final curvature control factor adjustment result.

8. The integrated processing system for automobile door panel assembly according to claim 7, characterized in that: Extract stress value information from key areas within the high-stress region of the deformation distribution data and predict the life cycle of the high-stress region of the deformation distribution data. If the predicted life cycle is lower than a preset threshold, re-match the fatigue coefficient index in the material combination; classify the stress value information to obtain a classified stress distribution data set; Quantitatively analyze the damage degree of high stress areas in the classified stress distribution data set, and determine the fatigue damage value of each area by combining the fatigue resistance coefficient index during the analysis; If the fatigue damage value is higher than the preset threshold, the life cycle prediction module is used to calculate the life cycle of the high stress area to obtain the predicted life data, and the predicted life data is compared with the preset threshold to determine whether it meets the requirements; If the predicted life data is lower than the preset threshold, the fatigue resistance index is re-matched through the material combination adjustment module, and the material combination information that meets the requirements is extracted from the preset material database to obtain the adjusted material combination plan.

9. The automobile door panel assembly integrated processing system according to claim 1, characterized in that: Based on the predicted life data, the material combination is evaluated for adaptability and compared with the preset grade standard table. If the adaptability grade of the material combination is lower than the preset threshold, the combination is judged to be substandard, thus obtaining a preliminary grade judgment conclusion; If the material combination determined in the preliminary grade judgment conclusion does not meet the standards, candidate material combinations that meet the strength decay rate constraints are extracted from the material database, and various parameters are compared to determine at least one alternative material combination that meets the constraints; Obtain detailed performance data of the alternative material combination, compare it with the performance data of the original material combination and calculate the performance difference value to determine whether the alternative material combination has higher material adaptability; If the adaptability of the alternative material combination is better than that of the original combination, it will be recorded as the final screening result and updated to the material database through the data storage module to complete the optimization adjustment; and it will be used for the processing, manufacturing and / or quality inspection of automobile door panels.

10. An automobile door panel assembly, characterized in that: The automobile door panel assembly includes: an automobile door panel body; The automobile door panel body is obtained after processing, manufacturing and / or quality inspection are completed by the automobile door panel integrated processing system according to any one of claims 1 to 9.

Images