Multi-objective optimized design for modified cycloid-pin gear drive mechanism based on load-bearing capacity

被引:4
|
作者
Gao, Song [1 ]
Zhang, Yueming [1 ]
Ji, Shuting [1 ]
Li, Yiwan [2 ]
Li, Wentai [2 ]
机构
[1] Beijing Univ Technol, Fac Mat & Mfg, 100 Pingleyuan, Beijing 100124, Peoples R China
[2] Beijing Univ Technol, Course Mech Engn, Grad Sch, 100 Pingleyuan, Beijing 100124, Peoples R China
基金
中国国家自然科学基金;
关键词
Rotate vector reducer; Modified cycloid-pin gear; Load bearing capacity; Meshing principle; Multi-objective optimization; Genetic algorithm; System design; STIFFNESS; REDUCERS;
D O I
10.1299/jamdsm.2024jamdsm0015
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Rotate vector (RV) reducers are typical deceleration elements that moderate and increase torsion. They are widely applied in industrial robots and automatic machinery with the superiorities of compact structure, high precision, and overload resistance performance. However, the RV reducers also have disadvantages, such as low bearing capacity and short service life. As the core drive mechanism in an RV reducer, the bearing capacity for a cycloid -pin gear drive system directly affects the performance of the entire deceleration system. Therefore, the bearing capacity of an RV reducer should be improved by increasing the capacity of a cycloid -pin gear. In this paper, the design of a cycloid -pin gear is optimized to improve its bearing capacity. The tooth profile equations for cycloid gear and the meshing gap are derived based on the gear meshing principle. The bearing capacity for cycloid -pin gear is modeled by combining the contact strength theory with the multi -tooth contact bearing analysis. The effects of eccentricity, the radius of pin tooth distribution circle, pin teeth number, pin tooth radius, cycloid thickness, modification value of moved distance and equidistance on total volume, contact stress, and torsional stiffness are systematically researched. Then, a single-, double-, and three -objective optimization model is proposed based on the load -bearing capacity for cycloid -pin gear by taking these three factors as the objective function. Moreover, the parameters are optimized with the genetic algorithm, and the analyses for three optimizations are compared and discussed. The theoretical models are confirmed by the simulation analysis through ANSYS software. The results show that the bearing capacity for the cycloid -pin gear system can be largely enhanced after optimization.
引用
收藏
页数:20
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