期刊
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
卷 121, 期 -, 页码 201-214出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2018.11.024
关键词
Digital image correlation; Rotating disc; Rigid body motion elimination; Vibration analysis; Modal analysis
资金
- Scientific Grant Agency of the Ministry of Education of the Slovak Republic [VEGA 1/0355/18, VEGA 1/0731/16]
- Slovak Academy of Sciences [VEGA 1/0355/18, VEGA 1/0731/16]
Rotating structures are of interest in many engineering fields, where knowing their dynamic behaviour is important to prevent undesired operating states. However, the experimental measurement of vibrations in rotating structures is still a relatively demanding task that requires the use of special measurement technique or method. The paper deals with the application of high-speed digital image correlation in vibration analysis of rotating structures. The method introduced in this research is based on the elimination of rigid body motion components contained in the primary responses measured by cameras. The process of separation and subsequent elimination of these components is given by numerical post-processing of three-dimensional displacement fields. The basis is to determine rotation matrix and translation vector that optimally describe rigid transformation between two positions of an analysed object. The proposed method is applicable for measuring under both constant and variable speed of rotation. Practical application is presented by three experiments in which vibrations of a flat rotating disc were analysed. The first experiment is focused on determine the operating deflection shapes of the disc rotating at 4700 rpm. The second one is a run-up analysis under variable rotational speed that ranges from 0 to 4700 rpm. The aim of the third measurement is to obtain natural frequencies and modal shapes of the disc rotating at 4800 rpm. The results of the experiments show that the elimination of rigid body motions leads to a higher accuracy of measurement and provides more pronounced frequency response spectra. (C) 2018 Elsevier Ltd. All rights reserved.
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