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博士生导师

硕士生导师

性别:男

毕业院校:东亚大学

学位:博士

所在单位:机械工程学院

学科:机械设计及理论

办公地点:大方楼8021#

电子邮箱:sxg@dlut.edu.cn

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Multidisciplinary design optimization of the belt drive system considering both structure and vibration characteristics based on improved genetic algorithm

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论文类型:期刊论文

发表时间:2018-05-01

发表刊物:AIP ADVANCES

收录刊物:SCIE

卷号:8

期号:5

ISSN号:2158-3226

摘要:The dynamic performance of a belt drive system is composed of many factors, such as the efficiency, the vibration, and the optimal parameters. The conventional design only considers the basic performance of the belt drive system, while ignoring its overall performance. To address all these challenges, the study on vibration characteristics and optimization strategies could be a feasible way. This paper proposes a new optimization strategy and takes a belt drive design optimization as a case study based on the multidisciplinary design optimization (MDO). The MDO of the belt drive system is established and the corresponding sub-systems are analyzed. The multidisciplinary optimization is performed by using an improved genetic algorithm. Based on the optimal results obtained from the MDO, the three-dimension (3D) model of the belt drive system is established for dynamics simulation by virtual prototyping. From the comparison of the results with respect to different velocities and loads, the MDO method can effectively reduce the transverse vibration amplitude. The law of the vibration displacement, the vibration frequency, and the influence of velocities on the transverse vibrations has been obtained. Results show that the MDO method is of great help to obtain the optimal structural parameters. Furthermore, the kinematics principle of the belt drive has been obtained. The belt drive design case indicates that the proposed method in this paper can also be used to solve other engineering optimization problems efficiently. (C) 2018 Author(s).