Multi-factor influence analysis on ability of cleaning mechanism for frozen and sticky coal under train car for safe operation

doi:10.16265/j.cnki.issn1003-3033.2024.S1.0040

Abstract

Abstract:

In order to increase transportation efficiency, improve the safety of workers, and enhance cleaning efficiency, the discrete element modeling-multi-body dynamic simulation (EDEM-RecurDyn) method was proposed to analyze the cleaning ability of the cleaning mechanism. Firstly, EDEM-RecurDyn was used to analyze the stress changes of the hob, and the three factors that affected the stress of the hob were obtained: the rotating speed of the drum, the dragging speed, and the depth of cleaning. The reference range was determined. Then, the response surface was used to carry out the three-factor three-level test, and the cleaning energy consumption ratio was obtained by analyzing rolling. The quadratic fitting polynomial was carried out. Finally, based on Matlab, a particle swarm optimization algorithm was used to solve the parameters. The results show that when the drum speed of the cleaning mechanism is 78 r/min, the traction speed is 0.05 m/s; when the cleaning depth is 100 mm, the cleaning mechanism is subjected to the least resistance and the lowest energy consumption.

Key words: frozen and sticky coal, cleaning depth, traction speed, tangential force, co-simulation

CLC Number:

X936

XU Xu, MA Pengfei, LIN Xuejian, LIU Qianshan. Multi-factor influence analysis on ability of cleaning mechanism for frozen and sticky coal under train car for safe operation[J]. China Safety Science Journal, 2024, 34(S1): 95-101.

Figures/Tables 7

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