Lightweight design of tail fin based on co simulation of genetic algorithm and finite element calculation

DOI:	10.11809/bqzbgcxb2024.11.028
Keywords:	lightweight design; finite element calculation; genetic algorithm; topology optimization; rocket tail fin
Abstract:	This paper presents a co simulation optimization design method, which uses the improved genetic algorithm as the optimization algorithm, uses the finite element calculation to complete the stress analysis, and writes the program to achieve the structural optimization through the combination of the optimization process and the finite element calculation process.The structure parameters are discretized into design parameters and coded, the finite element calculation results are taken as constraint conditions, the part volume is the optimization target, and the constraint and target are converted into fitness function through external point method, and the optimal structure parameters are obtained through iteration.At the same time, the coding method of genetic algorithm is improved to make it more suitable for solving practical engineering problems.This method is used to optimize the tail fin of a rocket projectile, which not only meets the stress requirements under the original working condition, but also reduces the structure weight by about 30%, which proves that the optimization method has a certain feasibility.In the process of joint simulation optimization, the multi population genetic algorithm has better searching effect than the general genetic algorithm.
Published:	2024-11-30
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