Optimization design of a piston particle damper

WANG Chao,GAO Jing,YIN Zhongjun

Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (20) : 168-175.

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PDF(2139 KB)
Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (20) : 168-175.

Optimization design of a piston particle damper

  • WANG Chao,GAO Jing,YIN Zhongjun
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Abstract

In order to investigate the damping performance of piston particle damping performance, this paper established a simulation model of piston particle damper based on the discrete element method-multibody dynamics coupling method. Through numerical simulation, particles material characteristics, particles size, piston embedding depth, vibration amplitude and frequency on the damping performance of the piston particle damper were investigated. The results show that the coefficient of friction between particles and piston embedding depth have significant effects on the damping performance, and the coefficient of restitution has no effect on the damping performance. It is found that the damping performance has a local optimal solution when the vibration displacement and particle size are equal. Based on the above conclusions, a piston particle damper model significantly improved damping performance under spring preload was investigated in this paper. The simulation results are verified through experiments, which provides theoretical reference for the piston particle damper in practical vibration control applications.
Keywords: particle damper; specific damping capacity; spring preload control; vibration control

Key words

particle damper / specific damping capacity / spring preload control / vibration control

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WANG Chao,GAO Jing,YIN Zhongjun. Optimization design of a piston particle damper[J]. Journal of Vibration and Shock, 2022, 41(20): 168-175

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