零件设计过程多学科协同优化

基于传统零件设计与优化遵循顺序过程无法达到面向载荷—结构—工艺的全局最优,对轴类零件的过程设计多学科优化进行研究；以质量为系统级目标函数,以集中载荷截面的弯矩和扭矩、安全系数变化、切削加工去除材料总量为学科目标函数,建立过程协同优化模型,以遗传-粒子群算法进行求解,并以某电动助力转向器(EPS)输出轴为研究对象进行优化计算.研究结果表明:输出轴质量减小5.5％,在300N·m扭矩或80N·m助力转矩2种状态下优化后最大变形分别减小4.2％和9.6％,最大应力分别减小4.4％和10.1％.

Multidisciplinary collaborative optimization for parts design process

Based on the fact that sequential process of parts design and optimization cannot achieve the global optimization for the load-structure-process,the process of shaft multidisciplinary design optimization was built.Taking quality as the system-level objective function,and taking the bending moment and concentrated load torque,the changed safety factors and the total amount of material removal machining as the disciplines objective function in cross-section,genetic-particle swarm algorithm method was built,and the optimization calculation of EPS output shaft was made.The results show that the output mass is reduced by 5.5%,and at electric power-assisted moment of 300 N·m and 80 N·m,the maximum deformations reduce by 4.2% and 9.6%,and the maximum stresses decrease by 4.4% and 10.1%,respectively.