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

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, the parametric model of the hinge beam is established, with the dimensions of key parts as design parameters, the maximum stress and displacement as objective functions, and the maximum mass is constrained. 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 stiffness and strength of the optimized hinge beam are effectively improved with a slight increase in weight, and the stress concentration is also significantly reduced, providing a useful reference for the design and development of the press.