| The paper mainly studies the optimization of cooling system for hot stamping mold using Multi-objective Particle Swarm Optimization Algorithm, to provide a theoretical basis for the design of hot stamping mold cooling system. First, the basic theory of numerical simulation and hot stamping forming, and the heat transfer path between mold and each parts was introduced. Combined with the finite element theory, a finite element model of hot stamping process was established. According to the result of finite element simulation, the optimization target functions was established by response surface methodology, an Improved Multi-objective Particle Swarm Optimization Algorithm Based on Global Best Adaptive Selection(IMOPSO) is proposed to optimize the design of the mold cooling system. The research results show the important theory significance and practical application value in high temperature plastic deformation theory and hot stamping mold cooling system optimization design. The main research contents and conclusions are as follows:① The position of the best particle of the entire swarm adaptive selection strategy is raised by using the theory of Sigma method, dynamic zero technology and crowding distance mechanism in this paper; Archive has a minimum size to avoid populations excessive clustering in certain areas when the size of archive is too small; Non uniform mutation mechanism was adopted to improve the convergence and diversity of multi-objective particle swarm optimization.② The diameter, number and arrangement of cooling pipes for hot stamping mold cooling system was preliminary designed. A finite element model of hot stamping process was established by MSC.Marc. Study on the distribution and evolution of hot stamping mold temperature field, the mainly heat influence area of stamping die in hot stamping process was proposed.③ Based on the result of finite element simulation, the optimization target functions was established by response surface methodology, through the analysis of variance and test of goodness of fit to verify the effectiveness of the response surface model, and using IMOPSO to optimize the pipe diameter and the spatial arrangement of the mold cooling system.④ The hot stamping experimental device of U-part was established, the typical trial manufacture process of hot stamping determined. Analysis of the distribution and evolution of mold surface temperature field in the hot stamping process by using the experimental data. The reliability of the established mold and related design scheme was verified by compare the experimental data and the simulation results. |
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