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The pollution mechanism of aerosol dust particles in continuous mining face: Real influence of dynamic rotation of continuous mining machine drum at different speed

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  • Zhou, Gang
  • Zhang, Xiangyan
  • Liu, Zengxin
  • Shao, Wenqi
  • Li, Gang
  • Yan, Guochao
  • Bai, Jianmin
  • Sun, Biao

Abstract

In the continuous mining face environment, the drum rotation speed of the continuous mining machine significantly influences dust dispersal patterns. This study utilized a dynamic mesh approach to assess the impact of four drum rotation speeds—0.5, 1.0, 1.5, and 2.0 r/s—on dust diffusion. The result shows that dust concentration in the sidewalk breathing zones at 0–30 m from the working face escalates with increasing rotation speed, with each 1.0 r/s increment in drum speed, dust concentration rises by 230.21 mg/m³ on average. The polynomial fitting curves correlating the average dust concentration in the breathing zones of continuous mining machine and shuttle car drivers to the drum's rotation speed, with respective equations Y = 543X3-1575X2+1134X+450 and Y = -442X3+1807X2-2104X+1170, and the drivers' dust concentration was lower (400–600 mg/m3) at drum speeds of 0.84–1.46 r/s. With the implementation of the on-board external spray device, achieving an average dust reduction rate of 90.62 % for total dust and 90.32 % for respiratory dust. Our research is directed towards optimizing the drum rotation speed for the operator's environment and inventing the on-board external spray device to further safeguard workers' health.

Suggested Citation

  • Zhou, Gang & Zhang, Xiangyan & Liu, Zengxin & Shao, Wenqi & Li, Gang & Yan, Guochao & Bai, Jianmin & Sun, Biao, 2025. "The pollution mechanism of aerosol dust particles in continuous mining face: Real influence of dynamic rotation of continuous mining machine drum at different speed," Energy, Elsevier, vol. 315(C).
    • Handle: RePEc:eee:energy:v:315:y:2025:i:c:s036054422404132x
    DOI: 10.1016/j.energy.2024.134354
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    References listed on IDEAS

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    1. Shi, Xueqiang & Chen, Xiaokun & Zhang, Yutao & Zhang, Yuanbo & Guo, Ruizhi & Zhao, Tenglong & Liu, Rui, 2022. "Numerical simulation of coal dust self–ignition and combustion under inclination conditions," Energy, Elsevier, vol. 239(PC).
    2. Lu, Xin-xiao & Wang, Cheng-yan & Shen, Cong & Wang, Ming-yang & Xing, Yun, 2022. "Verisimilar research on the dust movement in the underground tunneling at the roadheader cutterhead dynamic rotation," Energy, Elsevier, vol. 238(PC).
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