Title: Prediction and reduction of spatial transverse vibration of hoisting catenaries induced by drum winding in super-deep mine hoists
Authors: Jiannan Yao; Yansong Ma; Chi Ma; Tong Xu; Xingming Xiao
Addresses: School of Mechanical Engineering, Nantong University, Nantong, 226019, Jiangsu, China ' School of Intelligent Manufacturing, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, 221004, Jiangsu, China ' School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China ' School of Mechanical Engineering, Nantong University, Nantong, 226019, Jiangsu, China ' School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China
Abstract: The paper focuses on predicting and reducing the spatial transverse vibrations of hoisting catenaries, which may cause disordered rope arrangement, induced by drum winding in super-deep mine hoists. Firstly, the governing equations of spatial transverse vibrations of a hoisting catenary and the rope tension have been derived and experimentally validated; subsequently, the functions of the spatial transverse excitation displacements at the drum end and the hoisting velocity have been precisely modelled and calculated, numerical simulation indicated that large amplitude spatial vibrations will be excited by drum winding and that the quasi-static rope tension can be employed to predict the spatial transverse vibrations of the catenary. Eventually, a vibration isolated system is proposed to reduce the spatial transverse vibrations of a catenary, numerical simulation validated the feasibility. The paper will provide good technical supports for the vibration suppression of hoisting catenaries in super-deep mine hoists.
Keywords: super-deep mine hoist; catenary; spatial transverse vibration; LeBus drum ; boundary excitation; velocity fluctuation; dynamic force; quasi-static force; vibration model; vibration isolated system; vibration suppression.
International Journal of Modelling, Identification and Control, 2020 Vol.36 No.2, pp.159 - 173
Received: 22 Jul 2020
Accepted: 12 Sep 2020
Published online: 13 Jul 2021 *