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Discrete element analysis of particles flow in convex arc section of large corrugated sidewall belt conveyor

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Abstract

Convex arcs plays a key role in a large corrugated sidewall belt conveyor, which determines the large-capacity, high belt speed can smooth transportation, do not throw material. In order to study the convex arc section of corrugated sidewall belt conveyor conveying the material properties of the particle stream dynamics and logistics particle effects on the conveyor belt to the discrete element theory, by using a nonlinear Hertz Mindlin model built with corrugated sidewall belt conveyor discrete element model machine. The movement of materials with different speed is simulated; The average pressure and the maximum pressure of the base belt and the transverse plate of the corrugated sidewall conveyor belt under different conveyor belt speed were tested, and the average conveyor belt speed of rolling friction coefficient under three different particles were tested; Uniform acceleration of movement of the material flow when turning. Simulation results show that: With the increase of belt speed, the average pressure of corrugated sidewall conveyor increases nonlinearly, and gradually increases with the increase of velocity. The average velocity of the particle unit has nothing to do with the rolling friction coefficient.

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Acknowledgement

This work is supported by the State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the ministry of Science and Technology(china,MDPC2016ZR05).We gratefully acknowledge the supports.

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Authors and Affiliations

  1. College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, 266590, China

    Hao Shi & Yan Yu

  2. Transportation and Upgrading Laboratory, Qingdao, 266590, China

    Yan Yu

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  1. Hao Shi
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  2. Yan Yu
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Correspondence to Hao Shi.

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Shi, H., Yu, Y. Discrete element analysis of particles flow in convex arc section of large corrugated sidewall belt conveyor. Cluster Comput 22 (Suppl 2), 4917–4925 (2019). https://doi.org/10.1007/s10586-018-2442-2

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  • DOI: https://doi.org/10.1007/s10586-018-2442-2

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