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New approach based on operational strain modal analysis to identify dynamical properties of the high-speed reciprocating operation mechanism.

Authors :
Jiang, Xuchu
Li, Bin
Mao, Xinyong
Peng, Yili
He, Songping
Source :
Journal of Low Frequency Noise, Vibration & Active Control; Sep-Dec2019, Vol. 38 Issue 3/4, p1345-1362, 18p
Publication Year :
2019

Abstract

A high-speed reciprocating operating mechanism with fast running and frequent stopping produces a certain vibration due to inertia. The inherent vibration of this mechanism becomes a key factor affecting positioning accuracy and time. However, the existing vibration identification method is suitable only for static or low-speed structure operations. Therefore, a method of identification for operational modal parameters based on strain response is proposed. This method combines the strain mode with the operational modal analysis method, both of which are verified under the static and operational states, respectively. First, the theoretical background of the identification method is derived. Next, the proposed approach is used to identify the displacement mode shapes and the strain mode shapes of the beam structure with modal parameters that are obtained by experimental modal analysis. These results show that the beam structure presents different displacement mode shapes and strain mode shapes under different constraints. Finally, the displacement mode shapes of the sorting arm are obtained by the method under operation. The recognition results are compared with the computational modal analysis, and the two mode shapes are found to be highly consistent, which verifies that the method is equally reliable during operation. This method expands the application scope of the classic experimental modal analysis and reduces the error because of the additional mass of the actual sensor. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14613484
Volume :
38
Issue :
3/4
Database :
Complementary Index
Journal :
Journal of Low Frequency Noise, Vibration & Active Control
Publication Type :
Academic Journal
Accession number :
138650097
Full Text :
https://doi.org/10.1177/1461348418821203