Vibration Response Analysis of Hydraulic Support Based on Real Shape Coal Gangue Particles

Lirong Wan, Jiantao Wang, Dejian Ma, Qingliang Zeng, Zhaoji Li and Yanpeng Zhu
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Lirong Wan: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Jiantao Wang: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Dejian Ma: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Qingliang Zeng: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Zhaoji Li: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Yanpeng Zhu: College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China

Energies, 2022, vol. 15, issue 5, 1-17

Abstract: Top coal caving is an important way of thick coal seam mining. The current coal gangue identification technology is not mature, resulting in a low degree of automation of coal caving. The current numerical simulation pays little attention to the real shape of rocks. This paper aims to reveal the vibration response of the tail beam under the action of real shape coal gangue particles. First, the real shape rock and hydraulic support model are established, and the relationship between the Rock Mixed Ratio (RMR) and the vibration signal characteristics during the impact process are studied. The influence of falling velocity and coal strength on this relationship are analyzed. Finally, the influence of motion mode on this relationship is analyzed and discussed. The numerical results show that the increase of the RMR can significantly enhance the velocity and acceleration signals of the tail beam, and the signals caused by different RMR are still different under different velocities and strengths. The best recognition effect can be obtained when the coal gangue particles slip on the hydraulic support, and the effect is the the worst when the coal gangue particles impact upon and roll on the hydraulic support. The conclusion provides directions for further study of coal gangue identification based on vibration.

Keywords: top coal caving; numerical simulation; real shape; coal gangue identification; vibration response (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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