Optimization of Vane Number for Coal Loading in Shearer Drums (1400 mm and 2240 mm) via Discrete Element Modeling
Source abstract
Abstract
The loading rate of coal is significantly influenced by the number of vanes on shearer drums. However, in actual production, 1400 mm diameter drums feature two-vane and three-vane designs, while 2240 mm diameter ones have three-vane and four-vane designs, with the vane number corresponding to the optimal coal-loading rate remaining unclear. To reveal the correlation between vane number and coal-loading rate for such drums, parameters were calibrated through multiple physical tests in this study. Supported by field data, simulation analyses were conducted via the discrete element method to investigate the effect of the vane number on the drum coal-loading rate under different moisture contents and traction speeds. The results indicated that particle adhesion initially increases and then decreases with the moisture content, with the peak characteristics influenced by the particle size. Particle movement during drum coal mining is jointly governed by multiple factors. For 1400 mm drums, two or three vanes should be selected depending on moisture fluctuations and coal transportation requirements, whereas for 2240 mm drums, three or four vanes are recommended based on the balance between coal-cutting volume, conveying capacity, and traction speed.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Granular flow and fluidized beds · Mineral Processing and Grinding · Tunneling and Rock Mechanics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
China Coal Technology & Engineering Group Shanghai Co., Ltd., Shanghai 200030, China
College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China
State Key Laboratory of Digital Intelligent Technology for Unmanned Coal Mining, Shanghai 200030, China
Shandong Key Laboratory of Collaborative Mining Technology for Intelligent Mine Equipment, Shandong University of Science and Technology, Qingdao 266590, China
Funding
National Nature Science Foundation of China
References (30)
Show source-provided references
1. Technology development and application of medium and thin coal seam shearer
2. Numerical research on cutting force and fracture morphology of rock plate with two sides fixed and two sides free10.1155/2020/8652637 ↗
3. A numerical study of the mining-induced energy redistribution in a coal seam adjacent to an extracted coal panel during longwall face mining: A case study10.1002/ese3.553 ↗
4. A study on the effects of loading axial pressure rate on coal mechanical properties and energy evolution law10.1155/2022/5593173 ↗
5. Effects of Moisture Content and Loading Rate on Coal Samples: Mechanical Properties and Failure Mechanisms10.1007/s00603-024-04247-0 ↗
6. Li, X., Feng, G., Xiao, M., Wang, G., Bi, J., Gao, C., and Liu, H. (2025). Experimental Study on the Effects of Loading Rates on the Fracture Mechanical Characteristics of Coal Influenced by Long-Term Immersion in Mine Water. Appl. Sci., 15.10.2139/ssrn.5288232 ↗
7. Research on coal loading performance of globoid drum in thin coal seam shearer
8. Complex effects of drum hub forms and structural parameters on coal loading performance10.1155/2020/7036087 ↗
9. Numerical simulation on coal loading process of shearer drum based on discrete element method10.1177/01445987211013536 ↗
10. Application of a screw conveyor with axial tilt blade on a shearer drum and investigation of conveying performance based on DEM10.1016/j.partic.2021.06.001 ↗
11. Biały, W., Prostański, D., and Bołoz, Ł. (2024). Selection of longwall shearers based on the results of research on the mechanical properties of coal. Sci. Rep., 14.10.1038/s41598-024-69178-w ↗
12. Xu, W., Zhang, X., Gao, K., and Ma, S. (2024). Influence of coal cowl parameters on the coal loading process of thin coal seam shearer drum. Sci. Rep., 14.10.1038/s41598-024-57372-9 ↗
13. CFD-DEM modelling of raceway dynamics and coke combustion in an ironmaking blast furnace10.1016/j.fuel.2021.121167 ↗
14. The Study of Water Content on the Coal Loading Performance of Thin Coal Seam Shearer Drum by Discrete Element Method (DEM)10.1002/eng2.13046 ↗
15. Effect mechanisms of low temperature on fracture toughness of coal with different water contents10.1016/j.tafmec.2025.105093 ↗
16. Analysis of the Bulk Coal Transport State of a Scraper Conveyor Using the Discrete Element Method
17. Wear analysis and performance optimization of drum blade in mining coal gangue with shearer10.1016/j.engfailanal.2021.105542 ↗
18. Research and application of large cutting depth mining technology for thin coal seam shearers
19. Zhang, M., Zhao, L., and Shi, B. (2024). Coal falling trajectory and strength analysis of drum of shearer based on a bidirectional coupling method. Sci. Rep., 14.10.1038/s41598-024-60262-9 ↗
20. Research and application of key technologies for high-efficiency intelligent electric-haul shearer in thin coal seams10.1088/1742-6596/3060/1/012030 ↗
21. A discrete numerical model for granular assemblies10.1680/geot.1979.29.1.47 ↗
22. A novel discrete model for granular material incorporating rolling resistance10.1016/j.compgeo.2005.05.001 ↗
23. Modeling the particle breakage of rockfill materials with the cohesive crack model10.1016/j.compgeo.2014.05.006 ↗
24. Calibration of discrete element parameters for multi—Particle bonding model of bulk coal10.1088/1361-6501/adbe99 ↗
25. Three-dimensional discrete element modelling(DEM) of tillage: Accounting for soil cohesion and adhesion10.1016/j.biosystemseng.2014.11.006 ↗
26. Rock cutting performance and wear characteristics of undercutting disc cutter: Based on experiment and DEM10.1016/j.wear.2023.204976 ↗
27. Zhang, J., Chang, Z., Niu, F., Chen, Y., Wu, J., and Zhang, H. (2022). Simulation and validation of discrete element parameter calibration for fine-grained iron tailings. Minerals, 13.10.3390/min13010058 ↗
28. Zhou, P., Li, Y., Liang, R., Zhang, B., and Kan, Z. (2023). Calibration of contact parameters for particulate materials in residual film mixture after sieving based on EDEM. Agriculture, 13.10.3390/agriculture13050959 ↗
29. Chai, J., Wang, S., Zhou, Z., Li, G., and Liu, X. (2020). Determination of the friction coefficient of coal particles by discrete element simulation and experimentation. Res. Sq.10.21203/rs.3.rs-122784/v1 ↗
30. Changes in the structure and mechanical properties of a typical coal induced by water immersion10.1016/j.ijrmms.2020.104597 ↗