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http://dx.doi.org/10.5050/KSNVN.2006.16.7.704

Multi-axial Vibration Test on MAST System with Field Data  

Kim, Chan-Jung (자동차부품연구원 에너지부품연구센터)
Bae, Chul-Yong (자동차부품연구원 에너지부품연구센터)
Lee, Bang-Hyun (자동차부품연구원 에너지부품연구센터)
Kwon, Seong-Jin (자동차부품연구원 에너지부품연구센터)
Na, Byung-Chul (자동차부품연구원 에너지부품연구센터)
Publication Information
Transactions of the Korean Society for Noise and Vibration Engineering / v.16, no.7, 2006 , pp. 704-711 More about this Journal
Abstract
Vibration test on MAST(multi axial simulation table) system has several advantage over one-axial vibration test that could simulate 6-DOF, 3-axial translation and 3-axial moment, at the same time. Since field vibration motion can be fully represented with 6-DOF, multi-axial vibration test on vehicle component is widely conducted in technical leading companies to make sure its fatigue performance in vibration environment. On the way to fulfill the process, editing technique of obtained field data is key issue to success a reliable vibration testing with MAST system. Since the original signals are not only too large to fulfill it directly, but all of the measured data is not guarantee its convergency on generating its driving files, editing technique of the original signals are highly required to make some events that should meet the equal fatigue damage on the target component In this paper, key technique on editing a field data feasible for MAST system is described based on energy method in vibration fatigue. To explain its technique explicitly, author first introduced a process on field data acquisition of two vehicle component and then, representing events are produced to keep up with the editing strategy about a energy method. In the final chapter, a time information regarding a vibration test on MAST system is derived from the energy data which is critical information to perform a vibration test.
Keywords
Energy Method; Multi Axis Simulation Table; Optimal Algorithm; Normalized Damage Isoclines;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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