Research on Computer-aided 3D Modeling Simulation Optimization Model in Mechanical Design

With the improvement of product accuracy, efficiency and optimization requirements in mechanical design, computer-aided 3D modeling and simulation optimization have gradually become the core technology in the design process. However, existing algorithms still face challenges such as large computational complexity and insufficient accuracy when optimizing multi-objective problems. To this end, this paper proposes an innovative 3D modeling and simulation optimization model based on the combination of GA and particle swarm optimization. This model optimizes multiple objectives such as structural strength, weight, and cost in mechanical design by integrating global search capabilities and local search capabilities, thereby achieving efficient and accurate adjustment of the design. Experimental results show that in the case of motor housing design, the optimization efficiency of this optimization model is improved by 20% and the accuracy is improved by 15% compared with traditional methods. Through the comparison of the different optimization methods, it is proved that the model is superior in Mult objective optimization. The algorithm can be used to optimize many physical fields simultaneously, and provide a more intelligent and sophisticated solution for mechanical design.