LAPSE:2023.34858
Published Article
LAPSE:2023.34858
Identification Algorithm and Improvement of Modal Damping Ratios for Armature Assembly in a Hydraulic Servo-Valve with Magnetic Fluid
Jinghui Peng, Yayun Zhang, Songjing Li, Wen Bao, Yutaka Tanaka
April 28, 2023
The high-frequency vibration and resonance of armature assembly in the hydraulic servo valve are the main reasons for instability and failure. Magnetic fluid (MF) operating in the squeeze mode can be taken as an effective damper for resonance suppression in the servo valve. Due to excitation difficulty and the low signal-to-noise ratio of high-frequency vibration signals, the capability of MF to modify multiple-order modal damping ratios in a multi-degree-of-freedom system is still unclear. To reveal the mechanism of magnetic fluid for improving modal damping ratios, an algorithm for modal damping ratio identification is proposed. The modal damping ratios of the armature assembly with and without magnetic fluid are identified based on the tested resonance free decay responses. Four resonance frequencies of armature assembly are observed, and the corresponding damping ratios are identified. The equivalent modal damping ratios due to squeeze flow of MF are obtained. The results show that the proposed algorithm can identify damping ratios with an accuracy of up to 98.79%. The damping ratios are improved by double or more due to the magnetic fluid, and the maximum resonance amplitudes are significantly reduced by 65.2% (from 916.5 μm to 318.6 μm).
Keywords
hydraulic servo valve, magnetic fluid, modal damping ratio, resonance suppression, squeeze flow
Suggested Citation
Peng J, Zhang Y, Li S, Bao W, Tanaka Y. Identification Algorithm and Improvement of Modal Damping Ratios for Armature Assembly in a Hydraulic Servo-Valve with Magnetic Fluid. (2023). LAPSE:2023.34858
Author Affiliations
Peng J: Department of Fluid Control and Automation, Harbin Institute of Technology, Harbin 150001, China; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China [ORCID]
Zhang Y: Department of Fluid Control and Automation, Harbin Institute of Technology, Harbin 150001, China
Li S: Department of Fluid Control and Automation, Harbin Institute of Technology, Harbin 150001, China [ORCID]
Bao W: School of Energy Science and Engineer, Harbin Institute of Technology, Harbin 150001, China
Tanaka Y: Faculty of Engineering and Design, Hosei University, Tokyo 102-8160, Japan [ORCID]
Journal Name
Energies
Volume
16
Issue
8
First Page
3419
Year
2023
Publication Date
2023-04-13
Published Version
ISSN
1996-1073
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Original Submission
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PII: en16083419, Publication Type: Journal Article
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doi:10.3390/en16083419
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