Dynamic characteristics of scraper conveyor chain drive system under the impact condition of lump coal

PLoS One. 2024 Mar 1;19(3):e0299044. doi: 10.1371/journal.pone.0299044. eCollection 2024.

Abstract

Scraper conveyor is the most important transportation equipment in the comprehensive mining equipment, and the chain drive system is its core subsystem, its dynamic characteristics will significantly affect the efficiency of coal transportation in the comprehensive mining face. In this paper, the dynamic characteristics of chain drive system when impacted by falling coal are investigated by means of test. The impact test bench of scraper conveyor was set up to analyze the effects of chain speed, impact height and impact load mass on the dynamic characteristics of the chain drive system of scraper conveyor under the working conditions of unloaded and loaded. The results show that the longitudinal vibration of the scraper conveyor is most obvious when it is impacted by the falling coal, and the chain speed, impact height and impact load mass of the scraper conveyor all play an excitation role on the vibration of the chain drive system, and the vibration of the chain ring is the most intense in the chain drive system, and the loaded coal pile conveyed on the scraper conveyor plays an inhibiting role on the vibration of the chain drive system. This study can help to identify the location where the scraper conveyor fails first in the impact condition, so as to provide a basis for its structural design and improvement, which is of great significance for the stable operation and structural optimization of the scraper conveyor.

MeSH terms

  • Coal* / analysis
  • Mining*
  • Transportation
  • Vibration

Substances

  • Coal

Grants and funding

This study was supported by the National Natural Science Foundation of China (52204143, 52234005), Qingdao Postdoctoral Funding Project (QDBSH20230102027), and the Shandong Provincial Key Laboratory of Mining Machinery Engineering Open Fund (University-Enterprise Joint Funding Project, 2022KLMM307), and the China Postdoctoral Science Foundation(Grant No. 2023M742140).