Wang Lintao   

Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Main positions: Associate professor
Other Post: PhD supervisor

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Language:English

Paper Publications

Title of Paper:Hierarchical Modeling and Dynamic Analysis of Hoist System in Electric Mining Shovel

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Date of Publication:2018-01-01

Journal:SHOCK AND VIBRATION

Included Journals:SCIE

Volume:2018

ISSN No.:1070-9622

Abstract:The hoist system of electric mining shovel (EMS) always encounters excessive vibration in present work. However, the shortage of suitable dynamic model has been the bottleneck of reducing vibration. In order to analyze the vibration of the EMS hoist system, a coupled dynamic model is proposed using the hierarchical modeling method, which contains couplings of bolt, bear, coupling, rope, and gear mesh. The components were equivalent to mass elements with several nodes corresponding to their structure. Considered helical gears and motors, a dynamic gear transmission model with couplings of bending, torsion, and axes was developed. Based on the dynamic model, the modal characteristics were calculated, and the vibration modes were classified to five types. Under the ripple drive torque simulated by Simulink, the dynamic characteristics of the hoist system in time domain and frequency domain were obtained using numerical integration with the Runge-Kutta method in Matlab. At last, the model validity was verified by contrasting the responses under actual test and the model. The dynamic model and study results can provide support for dynamic characteristic evaluation and dynamic optimization of the EMS hoist system.

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