摘要
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%。
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 fimction, 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.
出处
《中南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2012年第3期947-952,共6页
Journal of Central South University:Science and Technology
基金
湖南省自然科学基金资助项目(11JJ6035)
关键词
多学科设计优化
协同优化
设计过程
输出轴
multidisciplinary design optimization
collaborative optimization
design process
output shaft
