A double-layer optimization method for forging process parameters of hinge beam structure and size of intermediate billet

• Published in: Journal of mechanical science and technology 2023, 37(10), , pp.5307-5319
• Main Authors: Xie, Guizhong, Zhang, Shixin, Li, Hao, Wang, Liangwen, Du, Wenliao, Zhao, Chongmao, Jia, Hangqi
• Format: Article
• Language: English
• Subjects: Control; Design optimization; Dynamical Systems; Engineering; Forging; Genetic algorithms; Grain refinement; Industrial and Production Engineering; Mathematical models; Mechanical Engineering; Original Article; Process parameters; Radial basis function; Vibration; 기계공학
• ISSN: 1738-494X; 1976-3824
• DOI: 10.1007/s12206-023-0933-4

A double-layer optimization method for the forging process parameters of a hinge beam structure and the design of intermediate billet structure is proposed. First, a primary optimization system for the forging process parameters of hinge beam was established based on orthogonal experiments and range analysis method, and the optimal combination of forging process parameters was selected. On this basis, a mathematical model of the secondary optimization of the final forging of the hinge beam was established. Through radial basis function (RBF) agent model and multi-island genetic algorithm, the secondary optimization of intermediate billet structure of hinge beam was carried out, which improved the grain refinement degree of final forging and reduced the forming load required for forging. Through numerical simulation and optimization design of forging process, the quality and performance of final forging of hinge beam were improved, which has certain guiding significance for the actual production of hinge beam.