Paper
12 December 2021 Study on characteristics of shearer cutting coal with faults based on discrete element method
Zhiming Liu, Cong Wang, Li Ya
Author Affiliations +
Proceedings Volume 12127, International Conference on Intelligent Equipment and Special Robots (ICIESR 2021); 121272V (2021) https://doi.org/10.1117/12.2625705
Event: International Conference on Intelligent Equipment and Special Robots (ICIESR 2021), 2021, Qingdao, China
Abstract
In order to make clear the cutting performance of spiral drum in coal and rock strata with small faults, this paper takes MG500/1130-WD shearer as the research object, uses SolidWorks to establish three-dimensional model of spiral drum, and uses EDEM to establish angle of 30°, 35° and 40° coal wall with coal seam angle, and to simulate the process of cutting coal wall with fault. The cutting resistance and rock quality in the simulation process are extracted, and the cutting resistance force, productivity and specific energy consumption of the front drum and the rear drum in different stages of crossing fault are analyzed in detail. The results show that: (1) with the increase of coal seam angle, the cutting resistance of spiral drum increases, and through the cutting resistance load fluctuation coefficient to explore the more reliable test conditions of this type of shearer. (2) With the increase of coal seam angle, the productivity of shearer shows a downward trend, and the cutting specific energy consumption increases with the increase of coal seam angle. The influence of coal seam angle on the cutting specific energy consumption is verified by single factor variance method. This paper provides a certain theoretical support for the shearer spiral drum to cut coal and rock with faults and select cutting parameters.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiming Liu, Cong Wang, and Li Ya "Study on characteristics of shearer cutting coal with faults based on discrete element method", Proc. SPIE 12127, International Conference on Intelligent Equipment and Special Robots (ICIESR 2021), 121272V (12 December 2021); https://doi.org/10.1117/12.2625705
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KEYWORDS
Resistance

3D modeling

Particles

Mining

Numerical simulations

Analytical research

Computer simulations

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