斜格
圆柱
多目标优化
有限元法
灵敏度(控制系统)
遗传算法
形状优化
响应面法
谐波
优化设计
钥匙(锁)
结构工程
数学优化
数学
工程类
计算机科学
机械工程
机器学习
电子工程
语言学
量子力学
哲学
计算机安全
物理
作者
Sixin Tang,Nanhai Ye,Zhonghua Huang
标识
DOI:10.1080/15397734.2020.1864638
摘要
An efficient multi-objective optimization procedure to maximize the fatigue life of a reform flexspline (FS) structure is presented. Improper design of FS structure may cause the malfunctioning of harmonic drives (HD). After a brief introduction of the existing design flaw on the traditional cylinder FS, a new structure with minimal oblique angle in FS cylinder wall is proposed which can improve the meshing condition of gear. The finite element model is employed whose result shows that the fatigue life of HD can be greatly enhanced by changing the cylinder shape FS to oblique angle one. Key structure variables of oblique shape FS are identified through sensitivity analysis which based on response surface method (RSM). Furthermore, the multi-objective algorithm which is basis on the RSM approximate model is employed to search for the key variables pareto optimal solution of FS. Stress and fatigue life are taken as objectives in multi-objective model which are solved by non-dominated sorted genetic algorithm (NSGA-II). The computational result shows that the most suitable oblique angle should be set at α=2.5° which prolongs the fatigue life by 365.2%. A new oblique shape FS structure form is provided to improve the traditional FS structure. The multi-objective optimization method is used to further optimize the variables of the oblique shape FS. The better FS structure can be obtained through this optimization procedure. According to the optimal oblique shape FS, the engineers could design high quality HD to ensure the efficient operation of industrial robots.
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