个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : CAD/CAE工程中心主任
性别:男
毕业院校:大连理工大学
学位:硕士
所在单位:力学与航空航天学院
联系方式:guanzhq@dlut.edu.cn
电子邮箱:guanzhq@dlut.edu.cn
Model reduction for friction-induced vibration of multi-degree-of-freedom systems and experimental validation
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论文类型:期刊论文
发表时间:2018-09-01
发表刊物:INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
收录刊物:SCIE
卷号:145
页面范围:106-119
ISSN号:0020-7403
关键字:Friction-induced vibration; Model reduction; Stability analysis; Mode coupling; Tribometer
摘要:Most frictional systems are composed of components that are in sliding contact. Thus they have natural contact interfaces on which normal contact forces and tangential friction forces are acting. These real systems are complicated and friction brings further complexity, which presents a challenge to their dynamic analysis and control. In this paper, a model reduction strategy for complicated frictional systems is put forward based on the idea of mode synthesis, and its applications and experimental validation are presented. Firstly, the accuracy of the reduction method and the feasibility of the reduced model in stability analysis are verified on a theoretical multi-degree of-freedom frictional system. Then, a tribometer in the form of a pad-on-disc test rig is designed and built and its corresponding detailed finite element (FE) model is constructed. A specific reduction strategy for this real friction system which involves direct contact at the pad-disc interface, is proposed. It is found that the reduced model with 80 modes of each of the two substructures of the system can already correctly predict the mode-coupling instability of the full FE model (which has over 900,000 degrees of freedom) of the real system, and unstable frequencies that are fairly close to the unstable frequencies of the FE full model computed by Abaqus CEA and the vibration frequencies measured in the test on the tribometer, which demonstrates the efficiency and accuracy of the model reduction strategy for dynamic analysis of real friction systems. Its computational efficiency would be even much greater when applied to nonlinear dynamic analysis of real friction systems. Model reduction for friction-induced vibration validated by experiments has not been reported in the literature.