185 results about "Computer-aided engineering" patented technology

The invention discloses a multi-agent computer-aided engineering and a computer-aided design method. CAE simulation and design optimization for the design of a complex product are high in threshold and difficulty. According to the method, autonomous planning and automatic execution of CAE simulation and CAD design optimization tasks are realized by using a multi-agent technology based on a large language model. A user interacts with the multi-agent system in the modes of text input, voice, a graphical user interface and the like, the multi-agent system autonomously plans workflow steps according to the requirements of the user, all agents cooperatively execute the working steps in a labor division mode, CAE and CAD software is called to execute simulation and design change, CAE and CAD result data are read and analyzed, the task completion condition is evaluated, and the task completion condition is evaluated. And the task can be re-planned if necessary. The system can automatically process error information, and can notify a user to process when user intervention is needed. The performance of the system can be improved through fine tuning of a large language model and retrieval enhancement generation technology.

The invention discloses a new energy automobile body frame lightweight design method based on digital twinning, and relates to the technical field of new energy automobile body structure design and computer-aided engineering simulation, and the method comprises the following steps: S1, building a digital twinning body connected with a physical automobile body sensing system; s2, a dynamic precision topology network module is used for dynamically dividing a simulation precision area of the vehicle body frame according to the mechanical energy transmission path and the real-time sensing data. According to the new energy automobile body frame lightweight design method based on digital twinning, intelligent allocation of computing resources is realized through a dynamic precision topology network, and the computing burden of multi-physics coupling simulation is effectively reduced while precise prediction of a key structure is ensured; the sharp contradiction among the model precision, the real-time response and the optimization efficiency is effectively solved, and effective closed-loop iteration of the lightweight design is achieved under the complex constraint condition.

The invention belongs to the technical field of geometric pretreatment in computer aided engineering (CAE), and particularly relates to a dirty geometry restoration method for a complex three-dimensional geometric model, which comprises a dirty geometry detection and restoration module based on heuristic rules and geometric topology analysis. By means of a multi-model collaborative alignment and bonding mechanism, high-precision assembly between parts is achieved through geometric feature matching and adjacent domain self-adaptive adsorption; acquiring material attributes provided by the simulation platform, and performing accurate cutting and boundary reconstruction on an intersection domain based on an intersection domain intelligent segmentation algorithm of the material attributes to ensure correct mapping of boundary conditions of a physical field; a geometric Boolean processing engine iterative learning mechanism of a general merging algorithm is integrated, and a high-quality model for simulating a grid is generated through multi-round iterative optimization. According to the method, double challenges of internal dirty geometry of a single model and derivative dirty geometry of intersection / adjacent areas among multiple bodies are solved, and key physical attributes and topological continuity of electromagnetic signal links are ensured and are completely reserved during repair.

The invention relates to the technical field of computer-aided engineering, in particular to a nonlinear efficient iterative solving method for thermal strain load, which is used for solving an obtained finite element equation by using a modified Newton-Raphson method and comprises the following steps of: firstly, establishing a geometric model to be analyzed and performing grid division; the method comprises the following steps: firstly, setting a model to be analyzed, then setting boundary conditions and temperature field change conditions of the model to be analyzed, finally, inputting the conditions into an algorithm solver, solving a nonlinear equation set, iteratively inputting a load continuously according to a modified Newton-Raphson method in the solving process, calculating node displacement until convergence, and solving stress-strain conditions in the welding process according to a material constitutive relation. In the solving process, by judging the size of the two norms of the displacement increment obtained in the adjacent increment step heuristic stage, the convergence of nonlinear solving of the structure is enhanced through the calculation mode, and the solving speed of the nonlinear problem in the thermal elastic-plastic constitutive structure is increased.

The invention relates to the technical field of computer-aided engineering analysis, and discloses a vibrating screen finite element analysis method and system.The vibrating screen finite element analysis method comprises the steps that three-dimensional structure parameters of a vibrating screen are obtained, a global finite element structure model is established, and material parameters and boundary conditions are set; constructing a disturbance load input set, performing multi-working-condition simulation analysis on the global finite element structure model based on the disturbance load set, obtaining stress distribution results, and identifying a high-risk region; extracting a local structure corresponding to the high-risk area, constructing a local finite element structure model, and performing finite element simulation; and based on a local finite element simulation result, correcting response parameters of a high-risk region in the global finite element structure model, and updating stress distribution of a global structure. The closed-loop correction and consistency enhancement of the structure response are realized, and the problems of insufficient global precision and difficulty in local information feedback in the existing method are solved.

The invention discloses a three-dimensional physical field real-time prediction method and system based on geometric deep learning and physical constraint, and relates to the technical field of computer-aided engineering and artificial intelligence. The method comprises the following steps: directly extracting native boundary representation data (B-Rep) of a three-dimensional model from a computer aided design system; constructing a heterogeneous dual graph taking a parameterized curved surface as a graph node, skipping finite element grid division, and aggregating local and global topological features by using a graph neural network; in combination with a physical information driving mechanism, a partial differential equation (PDE) residual error is introduced as a loss function for constraint training, and generalization prediction of a novel geometric structure is realized; and finally, the physical field state quantity is predicted through direct regression and is rendered in real time. An incremental reasoning mechanism based on a local topology subgraph is adopted, millisecond-level physical field real-time feedback under design modification is achieved, and the method is suitable for scheme rapid screening and trend prediction in the initial stage of design.

The invention relates to the technical field of computer-aided engineering, in particular to a pure cotton dark-color fabric dye-resistant area dynamic prediction method based on a dye diffusion model. The method comprises the following steps: acquiring a parameter data set representing a fabric microstructure, dye properties and a printing process; on the basis, a multi-scale coupling mathematical model is constructed, the dye diffusion range is predicted, the diffusion process is decomposed into seepage diffusion between macroscopic yarns and diffusion in microcosmic fibers through the model, and the diffusion rate difference of the dye in the fabric direction is represented through anisotropic diffusion tensors; through finite element analysis of structure perception, running a model to calculate dye space-time concentration distribution, and generating geometric data for predicting a bleeding boundary according to a preset concentration threshold value; according to the data, printing process parameters and model parameters are adjusted in a self-adaptive mode, and dynamic prediction of the dye-resistant area is achieved; according to the method, computer simulation and finite element analysis technologies are utilized, and the accuracy of dynamic prediction of the dyeing-resistant area of the pure cotton dark-color fabric is improved.

The invention provides a curved surface grid generation method based on discrete grid parameterization, and belongs to the technical field of computer aided engineering (CAE) and computational geometry. Aiming at the problems of tedious geometric operation, parameter space fusion distortion, insufficient grid fitness and the like in grid subdivision of a complex curved surface formed by a plurality of sub-curved surfaces, the invention provides the following technical scheme: firstly, carrying out triangular grid pre-subdivision on an original curved surface, and constructing a virtual topological structure for inhibiting non-key features; the discrete grids are mapped to a low-distortion two-dimensional parameter space by adopting least square conformal mapping (LSCM), and seamless combination of multiple sub-surface parameter domains is realized; dynamically calculating a parameter space size field, and controlling grid density distribution; after a parameter space adaptive grid is generated through Delaunay triangulation, grid points are accurately attached to an original geometric surface by using a dual projection correction mechanism. According to the method, complex CAD geometric operation is avoided, the automation degree is remarkably improved, meanwhile, physical space grid uniformity and strict fitness are guaranteed, and the method is suitable for efficient and high-precision grid generation of complex curved surfaces in the fields of aerospace, automobiles, ships and the like.

The invention relates to the technical field of computer-aided engineering, in particular to an integrated design method for a three-dimensional simulation model of spare and accessory parts. The method comprises the following steps: obtaining a part structure drawing, and carrying out part interference analysis to obtain part interference data; reconstructing an assembly path according to the part interference data to obtain assembly path data; constructing a part three-dimensional simulation model according to the assembly path data; performing fatigue simulation according to the three-dimensional simulation model of the spare part to obtain fatigue life data; performing fracture area analysis based on the fatigue life data to obtain part fracture area data; performing grain boundary cracking detection according to the part fracture area data to obtain grain boundary cracking data; and performing grain boundary hydrogen permeation detection according to the grain boundary cracking data to obtain grain boundary hydrogen permeation data. Based on the computer-aided engineering technology, the accuracy of part structure design and the reliability of service life prediction are improved.

The invention relates to a computer-based method for gradual subdivision of large computer-aided graphic design (CAD) and part models using different principles to analyze production defects and their criticality levels, and to perform quality and life prediction of the final product.

The invention discloses a simulation method and system for progressive damage and failure removal of a composite material, and belongs to the field of computer-aided engineering, and the method comprises the following steps: S1, coupling solving: solving a partial differential control equation set describing heat transfer and solid mechanics, and considering a coupling effect caused by thermal strain and the influence of temperature on material attributes, obtaining the temperature field and displacement field distribution of the current time step or iteration step; s2, material state calculation: on the basis of the temperature and the displacement field obtained in the coupling solution step, calculating the material state of an integral point of each unit in the model by using a predefined composite material constitutive model; and S3, unit processing and grid updating: after the material state calculation is completed, executing unit processing and grid updating. According to the invention, the final failure behavior of the structure can be predicted more comprehensively and accurately.

The invention belongs to the technical field of underground engineering and computer-aided engineering analysis, and particularly relates to an anti-seismic safety collaborative analysis method for multi-modal data of proximity tunnel engineering. By integrating engineering geology, structural design, construction monitoring and multi-level seismic oscillation data, a three-dimensional numerical model fusing geology and structural information is constructed. Firstly, refined simulation of the whole construction process and the operation static load is carried out, and a reference mechanical state is obtained; carrying out multi-task condition earthquake dynamic time history analysis on the basis, dynamically capturing dynamic response of surrounding rock and a structure, carrying out collaborative interpretation on static and dynamic analysis results, emphatically analyzing spatio-temporal evolution and connectivity risks of a tunnel anchor and an adjacent highway tunnel surrounding rock plastic zone, and extracting a plurality of quantitative collaborative indexes; and an interactive analysis report integrating a three-dimensional visual scene, a multi-dimensional comparison chart and a rule base-based safety interpretation conclusion is automatically generated, and systematic decision support is provided for seismic design, construction control and safety evaluation of proximity projects.

The invention provides an intelligent grid size field prediction method, which comprises the steps of inputting geometric data, material parameters and boundary conditions of a to-be-processed CAE model, automatically extracting an input feature set, inputting the input feature set into a trained hybrid model, and outputting an initial grid size field; and performing post-processing on the initial grid size field, including performing smoothing processing by adopting Gaussian filtering to ensure that the size difference of adjacent patches does not exceed 20%, executing constraint verification to ensure that the grid size is within a preset range, and performing multi-physical field adaptation to take the minimum value of the size required by each physical field. And generating a CAE (Computer Aided Engineering) grid based on a post-processing grid size field driving grid generation algorithm, feeding back the grid quality in real time in a grid generation process, and if the grid distortion rate exceeds 5%, predicting and adjusting the size again. According to the method, the grid generation efficiency is remarkably improved, the manual intervention cost is reduced, the simulation precision and stability are ensured, and the method is suitable for complex engineering analysis scenes in the industries of aerospace, automobiles and the like.

The invention relates to the technical field of computer-aided engineering, and discloses an intelligent water conservancy design simulation system based on digital twinning, which comprises a parameterized geometric feature extraction module, a reduced-order model database, a tangent space linear deduction module and a flow field reconstruction module. According to the method, nonlinear flow field solution is dimensionally reduced into deterministic matrix vector multiplication, traditional statistical regression and iterative solution are replaced, it is ensured that a reconstruction result evolves in the tangential direction of a physical gradient, non-physical guess of a statistical model in a sparse sample area is avoided, and the calculation accuracy is improved. And high-fidelity flow field reconstruction with real-time performance and physical evolution conservation is realized.

The invention discloses a distributed resource optimization scheduling method for ship cavitation simulation analysis, and relates to the field of ship computer-aided engineering, and the method comprises the steps: carrying out the physical field coupling analysis of a ship cavitation simulation model, dynamically recognizing strong and weak coupling regions, and aggregating the strong coupling regions into independent fragments, fragmenting the weak coupling region based on a load balancing principle; constructing a plurality of levels of computing resource units, automatically matching the computing resource units with opposite resource granularities according to strong and weak coupling fragmentation results, and executing subtasks on the distributed computing resource units; dynamically adjusting the current computing resource unit based on the subtask prediction time consumption correction result to adapt to the resource requirements of each subtask; and outputting and integrating ship cavitation simulation calculation results. According to the method, the problems of low fragmentation quality, resource waste and large prediction deviation in cavitation simulation of a traditional method are solved, the efficiency and precision of ship cavitation simulation analysis are improved, and reliable technical support is provided for ship design and performance optimization.

The invention discloses a vehicle body grid parameter dynamic optimization method and system based on model simulation, and belongs to the crossing field of computer-aided engineering and artificial intelligence technology. According to an existing vehicle body grid optimization scheme, deep mining and analysis of grid data cannot be achieved, and consequently the accuracy and reliability of a grid optimization result are not high. According to the vehicle body grid parameter dynamic optimization method based on model simulation, a vehicle body historical database module, a vehicle body grid optimization module and a domain knowledge base module are utilized to match vehicle body grid data to be optimized with vehicle body historical data to obtain the most similar vehicle body historical data; the information is used as experience information and verification basis of vehicle body grid parameter optimization; and then experience information and a verification basis are reused, the to-be-optimized grid data of the vehicle body are analyzed and processed, and optimization suggestion information is generated, so that historical data can be deeply mined and analyzed, and the accuracy and reliability of a grid optimization result can be effectively improved.

The invention discloses a truck bogie side frame / swing bolster CAD / CAE (computer-aided design / computer-aided engineering) integration method and a truck bogie side frame / swing bolster CAD / CAE integration system, and belongs to the technical field of rail transit equipment design. The truck bogie side frame / swing bolster CAD / CAE integration method comprises the following steps: preprocessing an original CAD model, and converting input parameter data into ANSYS software recognizable format; constructing a CAE (Computer Aided Engineering) template on the basis of ANSYS Workbench and intelligent mapping; and carrying out CAE simulation analysis by utilizing the recognizable parameter data and constructing a CAE template, and automatically generating a simulation analysis report. A CAE (computer aided engineering) simulation analysis template is established by utilizing CAD (computer aided design) geometric modeling, so that full-process automatic analysis under the working conditions of static load and static strength stipulated by TB / T 3549.2 is realized, and the design efficiency and reliability of the side frame / swing bolster of the truck bogie are remarkably improved.

The embodiment of the invention provides a method and a device for generating a simulation result of computer-aided engineering. The method comprises the following steps of: constructing an application programming interface for realizing a hot plug function of a business plug-in and a third-party business plug-in; when the user determines a target vertical domain type, determining a target business plug-in and / or a target third-party business plug-in based on the target vertical domain type; and calling the target service plug-in and / or the target third-party service plug-in based on the application programming interface to generate a computer-aided engineering simulation result. According to the method, a unified hot plug API interface is constructed to realize thorough module decoupling and open integration by determining field requirements and generating diversified plug-ins, finally, a user can flexibly select and call functional modules to generate simulation results as required, and openness, expansibility and field adaptation capability of CAE software are remarkably improved.

The invention relates to the technical field of computer-aided engineering, and discloses a rapid simulation sample library generation method, which is executed by a computer system and comprises the following steps: modeling scheme design: dividing a modeling range into a core area and a transition area, extracting coordinates and geometric parameters of the core area and the transition area, and abstracting simulation model parameters; obtaining a core area model file: modeling a core area through pre-processing software, exporting an input file, and converting the input file into an FLAC3D readable. Flaac3d file through an interface program; and defining a generation class: creating simulation scheme parameters, an initialization function and model resetting method, a model generation method, a constitutive model and parameter assignment method and a boundary condition loading method. According to the method, the modeling range is divided into the core area and the transition area, so that the problems that a traditional modeling mode only depends on FLAC3D built-in tool modeling, complex grids need to be manually defined one by one, the modeling efficiency is low, and the precision is difficult to guarantee are solved.

The invention relates to the technical field of computer-aided engineering, in particular to a multi-scale numerical value-based beach vegetation beach fixing and wave dissipating effect simulation system, which comprises the following steps of: acquiring terrain basic data, boundary condition data, vegetation physical parameters and vegetation ecological parameters; establishing a numerical calculation grid and a terrain by using terrain basic data, and updating a landform elevation and a hydrodynamic condition based on a wave flow sediment coupling mechanism by using boundary condition data as a driving condition; according to a vegetation mechanical model, vegetation flexible deformation is calculated in combination with hydrodynamic conditions and vegetation physical parameters, and hydraulic drag force parameters are updated based on the vegetation flexible deformation; according to the habitat suitability model, evaluating the probabilistic trend of vegetation growth, death and expansion; physical process simulation and landform evolution calculation are combined, and adaptive verification and resetting steps are introduced, so that accelerated simulation of beach fixation and wave dissipation of beach vegetation is realized. According to the invention, through multi-scale simulation, accurate prediction of beach fixing and wave dissipation is realized.

The invention discloses a firmness safety assessment method and system for a power transmission line iron tower based on computer assistance, and belongs to the technical field of computer-aided engineering, and the method comprises the steps: forming a multi-source data set through fusing sensor, environment and historical maintenance data, and generating preprocessing data after time sequence alignment and filtering processing; and adjusting finite element mechanical parameters based on the data, constructing a dynamic parameterized finite element structure, and performing simulation to obtain physical index data. A preliminary risk index is generated by combining a historical fault library and risk rule matching, then an environment severity degree index is introduced, a comprehensive state index is obtained through calculation, hierarchical feature extraction and multi-scale fusion analysis are carried out, and finally risk early warning information is output. According to the technical scheme, the dynamic parameterization finite element structure is constructed and checked, and comprehensive evaluation and prediction are carried out in combination with data-driven risk matching, so that comprehensive and prospective evaluation and early warning of the firmness safety state of the power transmission line iron tower can be realized.

The invention relates to the technical field of mechanical engineering and computer-aided engineering simulation, and discloses a mechanical structure industrial simulation method which comprises the following steps: S1, establishing a geometric model, material attributes and boundary conditions of a mechanical structure; s2, constructing a nonlinear multi-physics field coupling model; s3, constructing a micro-scale model, and describing a grain slippage behavior and a phase change characteristic in the material and the influence of the grain slippage behavior and the phase change characteristic on a macroscopic multi-physical field; s4, mapping the microscale model to a macroscopic field through a homogenization method, and establishing a microcosmic-to-macroscopic multi-field coupling model; s5, dynamically solving the coupling model, and optimizing the solving process by adjusting the time step length and the boundary condition in real time; and S6, monitoring the dynamic response of the multiple physical fields in real time based on stability analysis. According to the method, nonlinear coupling analysis among a heat conduction field, a mechanical field and a vibration field is realized, and mutual influence and dynamic response among multiple fields under complex working conditions are effectively captured through the method.

The invention provides a self-adaptive processing method and device for geometric data of a blade, and relates to the field of computer-aided engineering. The method comprises the steps of obtaining original blade geometric data, and performing format analysis and density adaptive cleaning processing on the original blade geometric data to obtain target blade section data; performing geometric feature point identification based on the target blade section data to obtain a leading edge vertex and a trailing edge vertex; determining a corresponding boundary critical point by using the front edge vertex and the rear edge vertex, and performing structure division on the target blade section data by combining the boundary critical point to obtain blade section partition data; and performing curve fitting on the blade section partition data to obtain a fitting curve of a corresponding blade area, and constructing a blade geometric model based on the fitting curve. According to the method and the device, full-process automation and self-adaptive processing of blade geometric data from import to modeling can be realized, and the data processing efficiency and geometric reconstruction precision are remarkably improved.

The present application belongs to the field of computer aided engineering and electromagnetic simulation technology, and relates to a Step model automatic repairing and optimizing method and system for electromagnetic simulation, the method comprising: S1: analyzing the Step model and performing geometry feature extraction and defect detection based on the analysis result, and automatically identifying different electromagnetic features based on the extracted geometry features and a preset electromagnetic knowledge base; S2: according to the electromagnetic simulation requirement, different repairing strategies are adopted for intelligent repairing of different electromagnetic features to obtain a repaired model; S3: based on the simulation acceleration requirement, the repaired model is optimized to obtain an optimized model; S4: the parameters generated in the repairing and optimizing process and the optimized model are integrated and sent to electromagnetic simulation software for electromagnetic simulation. It can greatly improve the simulation preprocessing efficiency and simulation accuracy, significantly accelerate the simulation solving process, realize the standardization and knowledge sedimentation of simulation, and form a positive closed loop.

The invention discloses a network topology reconstruction-based adaptive sampling method for a CAE (Computer Aided Engineering) agent model of a numerical control machine tool, and relates to the research field of sampling methods for agent models in multi-dimensional complex scenes such as the numerical control machine tool. S12, a sample point preprocessing and validity checking stage; s2, a network topology construction stage; s23, a network topology validity verification and weight normalization stage; s3, a topology reconstruction stage; and S4, a dynamic optimization stage. According to the network topology reconstruction-based adaptive sampling method for the CAE agent model of the numerically-controlled machine tool, a sampling process is converted into a dynamic network reconstruction process, power-law distribution, small-world effect and scale invariance characteristics in a complex network theory are fused, system key information is captured by using a network topology structure, and global search capability of a simulated annealing algorithm is combined, so that the network topology reconstruction-based adaptive sampling method for the CAE agent model of the numerically-controlled machine tool is realized. The adaptive optimization distribution of sampling points is realized, the coverage rate and representativeness of samples to different working condition characteristics are improved, and high-quality training data are provided for a numerical control machine tool CAE agent model.

This invention relates to the field of finite element analysis technology, and provides a method for designing and constructing cast-in-place piles using a single-sided open-closed temporary casing based on finite element analysis. The method includes importing constitutive parameters of soft rheological silt into computer-aided engineering nonlinear finite element software to establish a spatial mesh model of the single-sided open-closed temporary casing with upper and lower reinforcing cylinder ends and a central standard cylinder; applying high-order friction penalty function contact constraints to the sliding pin, tension rod flange, and positive and negative labyrinth joints; sequentially loading three dynamic simulation conditions: pressing, holding, and large deformation during pull-out; outputting a solid manufacturing data table based on the simulation results of the three dynamic simulation conditions; constructing a closed-loop mud circulation system to maintain head balance; and achieving low-damage pull-out and demolding. This invention combines simulation-driven design, structural optimization, and refined construction control, significantly improving the reliability, efficiency, and pile quality of cast-in-place pile construction in soft rheological strata.

The invention relates to the technical field of computer-aided engineering and structure optimization, and discloses a wind power tower crane lightweight design method based on digital twinning and multi-objective optimization, comprising the following steps: S1, constructing a full-parameterized initial three-dimensional geometric model of a wind power tower crane, and establishing a corresponding initial finite element model in a finite element simulation platform; by defining a multi-objective optimization problem taking structural mass minimization and key part equivalent stress minimization as the core and adopting a non-dominated sorting mechanism for solving, a series of Pareto optimal design schemes capable of achieving the optimal balance between the lightweight degree and the structural strength can be automatically generated; the one-sidedness possibly caused by traditional single target optimization is avoided, and designers can make decisions in a more comprehensive tradeoff space, so that the structural weight is remarkably reduced, the stress level is effectively controlled, and the overall safety and reliability of the tower crane are guaranteed.

The invention relates to the technical field of model simulation and computer-aided engineering, in particular to a drive axle housing vibration noise numerical value determination system based on model simulation. A data set generation unit, an agent model training unit, a real-time prediction unit and a closed-loop correction unit are included; the system carries out adversarial training through the high-fidelity training data set to obtain an agent model; the core is that a prediction response field is generated in real time by using an agent model, and a bottleneck hot spot area is identified; when the hot spot area is identified, the system calculates the sensitivity gradient of the hot spot area to the design parameters, and solves and optimizes the design parameters; according to the method, the prediction period conversion from several days to the instantaneous prediction period is realized, and the design iteration efficiency is greatly improved.

The application relates to the field of computer-aided engineering design, and discloses a proxy-assisted particle swarm optimization method and system for expensive black-box optimization, which comprises the following steps: a database is constructed and a proxy model is trained by using a small amount of real evaluation samples to obtain a predicted target value and uncertainty of a candidate solution; a local candidate solution is generated for each particle, a local reference position is determined based on a self-adaptive lower confidence limit criterion, and each particle is allocated a dedicated inertia weight according to the correlation between the local reference position of each particle and a global reference position; Cauchy heavy tail disturbance is introduced in particle speed updating to enhance the non-local jump-out capability; and the self-adaptive lower confidence limit criterion is used again to screen elite candidate solutions from the candidate particles for real evaluation, and the database and the proxy model are updated. Under a limited real evaluation budget, the application can dynamically balance exploration and development, improve the effectiveness of the search direction, and is suitable for high-cost black-box optimization problems such as aerodynamic shape optimization.

The application discloses a computer simulation and optimization method for oriented rubber and meat close fitting, and belongs to the technical field of computer aided engineering and virtual simulation. A three-dimensional model of rubber and meat is constructed and material properties are defined, a virtual contact interface is constructed and is discretized into multiple contact units; a finite element analysis engine is used to simulate the rubber deformation process under different candidate pressure distribution modes, and corresponding deformation sequences are generated; the relative displacement between the rubber nodes and the meat nodes at each contact unit is extracted, and the overall fitting degree coefficient is calculated; the candidate pressure distribution mode is iteratively optimized until the optimized pressure distribution mode meeting the convergence condition is obtained, and is output as the target pressure application scheme. The application can automatically find the optimal pressure application scheme for the closest fitting of rubber and meat, effectively replace the traditional process debugging mode relying on experience and repeated experiments, significantly improve the fitting quality and efficiency, and provide accurate computer guidance for the formulation of actual production processes.