Abstract
Mechanical assembly has its own dynamic quality directly affecting the dynamic quality of whole product and should be considered in quality inspection and estimation of mechanical assembly. Based on functional relations between dynamic characteristics involved in mechanical assembly, the effects of assembling process on dynamic characteristics of substructural components of an assembly system are investigated by substructuring analysis. Assembly-coupling dynamic stiffness is clarified as the dominant factor of the effects and can be used as a quantitative measure of assembly dynamic quality. Two computational schemes using frequency response functions(FRFs) to determine the stiffness are provided and discussed by inverse substructuring analysis, including their applicable conditions and implementation procedure in application. Eigenvalue analysis on matrix-ratios of FRFs before and after assembling is employed and well validates the analytical outcomes and the schemes via both a lumped-parameter model and its analogic experimental counterpart. Applying the two schemes to inspect the dynamic quality provides the message of dynamic performance of the assembly system, and therefore improves conventional quality inspection and estimation of mechanical assembly in completeness.
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Supported by National Natural Science Foundation of China(Grant No. 51475211)
LÜ Guangqing, born in 1964, is currently an associate professor and distinguished scholar of Zhuhai city at Jinan University, China. He received his first PhD degree from Xi’an Jiaotong University, China, in 1996 and second PhD degree from The University of Alabama, America, in 2004. He worked as fellowship research engineer at LG Electronics, Inc., Korea, from January 1997 to August 1998 and as a post-doc researcher at The University of Alabama from August 1998 to May 2001. His research interests include mechanical dynamics, engineering acoustics, quality control and packaging engineering.
YI Chuijie, born 1958, is currently a professor at Qingdao Technological University, China. He received his PhD degree from Xi’an Jiaotong University, China, in 1994. His research interests include noise and vibration control and engineering equipment design.
FANG Ke, born in 1982, is currently a doctor candidate on-the-job at Jinan University, China. He received his MS degree from Science and Technology University of China, in 2008. His research interests include structural dynamics, packaging engineering and automation.
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Lü, G., Yi, C. & Fang, K. Analysis and inverse substructuring computation on dynamic quality of mechanical assembly. Chin. J. Mech. Eng. 29, 539–548 (2016). https://doi.org/10.3901/CJME.2016.0322.035
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DOI: https://doi.org/10.3901/CJME.2016.0322.035