Multi-objective Optimization of Hydroforming Process of Rocket Tank Bottom

doi:10.3901/JME.2022.05.78

Abstract

Abstract: The hydroforming technology can realize the overall forming of the large storage tank’s bottom, but the quality is affected by many technological parameters. In view of the wrinkling and cracking defects of the integral storage tank’s bottom in hydroforming, a multi-objective optimization model is established for the process parameters include prebulging pressure, hydraulic pressure, blank holder force and radius of blank holder’corner. Based on the simulation about forming process of the storage tank’s bottom, the Latin hypercube sampling method is used to obtain the sample data. The agent model between process parameters and quality indicators is established by using Kriging and radial basis function（RBF）. NSGA-III algorithm and particle swarm optimization（PSO） algorithm are used to determine the optimal process parameters when the storage tank’s bottom reaches the target（minimum wall thickness reduction rate, minimum fracture trend, minimum flange wrinkle and minimum wrinkle trend）. The validity of the method and the accuracy of the results are verified by simulation experiments.

Key words: storage tank bottom, hydroforming, multi-objective optimization, NSGA-III

CLC Number:

TG394

ZHANG Zai-fang, XU Feng, SUN Xi-wu. Multi-objective Optimization of Hydroforming Process of Rocket Tank Bottom[J]. Journal of Mechanical Engineering, 2022, 58(5): 78-86.

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