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

Author

Listed:
  • 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
    College of Information Science and Engineering, Shandong Normal University, Jinan 250358, 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)

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.

Suggested Citation

  • Lirong Wan & Jiantao Wang & Dejian Ma & Qingliang Zeng & Zhaoji Li & Yanpeng Zhu, 2022. "Vibration Response Analysis of Hydraulic Support Based on Real Shape Coal Gangue Particles," Energies, MDPI, vol. 15(5), pages 1-17, February.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1633-:d:755872
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