中国安全科学学报 ›› 2024, Vol. 34 ›› Issue (S1): 95-101.doi: 10.16265/j.cnki.issn1003-3033.2024.S1.0040

• 安全工程技术 • 上一篇    下一篇

行车安全的火车厢底冻粘煤清扫机构能力多因素影响分析

徐煦(), 马鹏飞, 林雪剑, 刘千山   

  1. 国能宝日希勒能源有限公司 露天煤矿, 内蒙古 呼伦贝尔 021008
  • 收稿日期:2024-03-14 修回日期:2024-05-17 出版日期:2024-12-02
  • 作者简介:

    徐 煦 (1983—),男,辽宁绥中人, 硕士,高级工程师,主要从事煤矿智能化及煤矿机电方面的工作。E-mail:

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

XU Xu(), MA Pengfei, LIN Xuejian, LIU Qianshan   

  1. Open Pit Coal Mine, Guoneng Baolixile Energy Co., Ltd., Hulun Buir Inner Mongolia 021008, China
  • Received:2024-03-14 Revised:2024-05-17 Published:2024-12-02

摘要:

为增加运输效率,提高工作人员的安全性以及提升清理效率,提出以离散元素法建模-多体动力学仿真(EDEM-RecurDyn)方法分析清扫机构的清扫能力。首先,采用EDEM-RecurDyn分析滚刀受力变化,得出影响滚刀受力的3种因素:滚筒的旋转速度、牵引行进速度以及清扫的深度并确定其参考范围;然后,利用响应面进行三因素三水平试验,并分析滚动得出清扫能耗比,对此进行二次拟合多项式;最后,采用Matlab进行粒子群优化算法进行求解得出参数。结果表明:清扫机构在滚筒速度为78 r/min,牵引速度为0.05 m/s,清扫深度为100 mm时,清扫机构所受的阻力最小,能耗为最低值。

关键词: 冻粘煤, 清扫深度, 牵引速度, 切向力, 联合仿真

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

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