Optimization of hinge beam of cylinder-beam integrated cubic press based on response surface method

Abstract

Cubic press is the primary equipment for diamond production in China. Its key component, the hinge beam, bears continuous alternating loads in the working environment and is prone to failure and breakage. In this paper, a method combining response surface method (RSM) and multi-objective genetic algorithms (MOGA) is proposed to optimize the hinge beam of the new hexagon top press. Firstly, a parametric model of the hinge beam is established. The dimensions of key parts are treated as design parameters, while the maximum stress and displacement serve as objective functions. There is also a constraint on the maximum mass. Then, the optimal space-filling design (OSF) is used as the design of experiments (DOE) to obtain the design experimental points. The proxy model is obtained by the response surface method. Afterward, the global optimum solution is searched using the MOGA method, and the optimal result of the hinge beam is evaluated. The results show that the optimized hinge beam effectively improves stiffness and strength with a slight increase in weight. Stress concentration is also significantly reduced, providing a valuable reference for the design and development of the press.

Keywords

• cubic press
• hinge beam
• response surface method
• multi-objective genetic algorithms