Horizontal Nonlinear Vibration of Mill Work Roll and Intelligent Liner Vibration Absorption

doi:10.3901/JME.2024.20.108

Abstract

Abstract: The vibration theory of strip rolling mill is very important to the quality of sheet metal and the stable operation. Considering the influence of the horizontal dynamic excitation of rolling force, the nonlinear damping, the nonlinear stiffness and the gap between the work roll bearing seat and the bridge, the fractional order dynamic model of the horizontal nonlinear vibration of the work roll is established. The amplitude-frequency characteristic curve equation of the horizontal nonlinear vibration of the upper work roll is obtained by average method. The effects of the horizontal dynamic excitation amplitude, stiffness coefficient, nonlinear damping coefficient and fractional differential coefficient and order of the rolling force on the principal common amplitude-frequency characteristic curve of the system are analyzed. A hydraulic intelligent liner plate is designed to be installed between the mill yard and the bearing seat of the upper work roll. The amplitude-frequency characteristic equation of intelligent liner installation system is obtained by using multi-scale method. The influence of stiffness coefficient and damping coefficient of liner on amplitude-frequency characteristics is analyzed, and the control effect of intelligent liner on horizontal nonlinear vibration is studied by numerical simulation. Finally, the correctness and feasibility of intelligent liner design are verified by experiments, which provides a new idea for nonlinear dynamic analysis and stability control of rolling mill, and has important guiding significance for practical production.

Key words: rolling mill, horizontal nonlinear vibration, fractional modeling, multiscale method, intelligent liner

CLC Number:

TG113

HE Dongping, JIANG Li, XU Huidong, LIU Yuanming, WANG Tao. Horizontal Nonlinear Vibration of Mill Work Roll and Intelligent Liner Vibration Absorption[J]. Journal of Mechanical Engineering, 2024, 60(20): 108-119.

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