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Identification Algorithm and Improvement of Modal Damping Ratios for Armature Assembly in a Hydraulic Servo-Valve with Magnetic Fluid

Author

Listed:
  • Jinghui Peng

    (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)

  • Yayun Zhang

    (Department of Fluid Control and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Songjing Li

    (Department of Fluid Control and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Wen Bao

    (School of Energy Science and Engineer, Harbin Institute of Technology, Harbin 150001, China)

  • Yutaka Tanaka

    (Faculty of Engineering and Design, Hosei University, Tokyo 102-8160, Japan)

Abstract

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).

Suggested Citation

  • Jinghui Peng & Yayun Zhang & Songjing Li & Wen Bao & Yutaka Tanaka, 2023. "Identification Algorithm and Improvement of Modal Damping Ratios for Armature Assembly in a Hydraulic Servo-Valve with Magnetic Fluid," Energies, MDPI, vol. 16(8), pages 1-13, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3419-:d:1122604
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    References listed on IDEAS

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    1. Meng Chen & Dong Xiang & Songjing Li & Changfang Zou, 2018. "Suppression of Squeal Noise Excited by the Pressure Pulsation from the Flapper-Nozzle Valve inside a Hydraulic Energy System," Energies, MDPI, vol. 11(4), pages 1-21, April.
    2. Wei Zhang & Jinghui Peng & Songjing Li, 2017. "Damping Force Modeling and Suppression of Self-Excited Vibration due to Magnetic Fluids Applied in the Torque Motor of a Hydraulic Servovalve," Energies, MDPI, vol. 10(6), pages 1-10, May.
    3. Paolo Tamburrano & Andrew R. Plummer & Pietro De Palma & Elia Distaso & Riccardo Amirante, 2020. "A Novel Servovalve Pilot Stage Actuated by a Piezo-electric Ring Bender: A Numerical and Experimental Analysis," Energies, MDPI, vol. 13(3), pages 1-24, February.
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