Transactions of Materials and Heat Treatment

Title：Optimization on wolf pack algorithm of local loading forming for wide belly high rib large forgings

Authors： Zhao Chengxi Chen Jinping

Unit： Dalian Ocean University

KeyWords： wide belly high rib large forgings local loading forming grain size fillability of rib optimal Ladin hypercube wolf pack algorithm BP neutral network

ClassificationCode：TG316

year,vol(issue):pagenumber：2020,45(9):211-218

Abstract：

In order to improve the fillability of the wide belly high rib large forgings and the uniformity of grain size, the process parameters optimization method simulating wolf pack hunting process was proposed, and the local loading forming process of the wide belly high rib large forgings was analyzed. Then, the blank temperature, the loading speed of press and the once reduction lengh were chosen as the optimizing parameters, and the optimizing model was built by setting the ribs fillability and the grain uniformity as the goals. Next, the experiment was designed by optimal Latin hypercube method, and the finite element simulation result was acquired under the different experiment conditions. Furthermore, the nonlinear relationship of quality parameters and process parameters was fit by BP neutral network, and the fitting accuracy of BP neutral network was high by test. Finally, the process of wolves hunting was simulated, and considering the optimal parameter combination as the position of the maximum food concentration, the parameter optimization process was transformed into the search process of the wolf algorithm. The simulation and verification of production show that equivalent unfilled height of rib decreases by 68.9%, average grain size decreases by 18.2%, grain size standard deviation decreases by 27.5% after optimization, and the validity of the optimizing method is verified.

Funds：

辽宁省教育厅2019年度科学研究项目（QL201914）

赵成喜（1978-），男，硕士，讲师 E-mail：32566778@qq.com

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