Study on loading path optimization of internal high pressure forming process

2017 3rd International Conference on Applied Materials and Manufacturing Technology

Jiang, Shufeng^1 ; Zhu, Hengda^1 ; Gao, Fusheng^1

School of Mechatronics Engineering, Qiqihar University, Qiqihar

161006, China^1

关键词: BP neural networks;    Evaluating parameters;    Internal high pressure forming;    Loading path optimizations;    Mapping relationships;    Particle swarm optimization algorithm;    Practical requirements;    Process parameters;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/242/1/012052/pdf
DOI  :  10.1088/1757-899X/242/1/012052

来源: IOP

【 摘 要 】

In the process of internal high pressure forming, there is no formula to describe the process parameters and forming results. The article use numerical simulation to obtain several input parameters and corresponding output result, use the BP neural network to found their mapping relationship, and with weighted summing method make each evaluating parameters to set up a formula which can evaluate quality. Then put the training BP neural network into the particle swarm optimization, and take the evaluating formula of the quality as adapting formula of particle swarm optimization, finally do the optimization and research at the range of each parameters. The results show that the parameters obtained by the BP neural network algorithm and the particle swarm optimization algorithm can meet the practical requirements. The method can solve the optimization of the process parameters in the internal high pressure forming process.