Fatigue analysis and optimization design of key components of synthesizing equipment for artificial diamond based on a method of information exchange system

Sci Prog. 2023 Oct-Dec;106(4):368504231208768. doi: 10.1177/00368504231208768.

Abstract

In this article, a method of information exchange system (MIES) has been proposed to optimize the structure of the hinge sleeve of cubic (HSC), a key component of synthetic diamond. The MIES method integrates static analysis, topology optimization, and fatigue failure analysis. By using this method, the lightweight design of the structure was ensured while meeting the fatigue life requirements. The weight of the optimized model was reduced from 5729.9 kg to 4593.4 kg, and the fatigue life was 1.127E+05, which meets the serviceability requirements. The steps of the method are as follows: First, the model of HSC was established. According to the loading conditions, the basic material data and boundary conditions were set, and the stresses and strains of the HSC were calculated. The optimized region was obtained by topological analysis of the HSC structure using the variable density method. The fatigue life of the model was then calculated by combining the stress life method and the average stress correction method. Simulations were performed using the above method to obtain the six nodes of maximum stress in the HSC. These nodes were used as control points for the structural optimization design. The HSC model was optimized by optimizing the structure in the region of the control variable points. Computational analysis of the optimized HSC model was carried out using the information exchange system. After repeated optimization of the structure of the HSC model, a model with a lightweight design was obtained. The ANSYS simulation results showed that the final mass of the HSC model was reduced by 19.83%. Stress and life were within the design requirements. The information exchange system has better computational performance, feasibility, and reliability compared to traditional theoretical methods.

Keywords: control variable points; fatigue life analysis; information exchange system; lightweight design; topology optimization.