RESEARCH PAPER
Analysis and Improvement of Coal-loading Performance and Reliability of Thin Seam Coal Shearer Drums
1
Taiyuan University of Science and Technology, China
2
Shanxi Tiandi Coal Machinery Co.Ltd, China
3
Shanxi Institute of Energy, China
Submission date: 2024-06-21
Final revision date: 2024-09-15
Acceptance date: 2024-10-15
Online publication date: 2024-10-26
Publication date: 2024-10-26
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(2):194674
HIGHLIGHTS
- A collaborative optimization method based on an improved NSGA-II algorithm is proposed.
- Two types of coal-guiding drums are designed and analyzed.
- An improved NSGA-II strategy based on spatial density is introduced.
- This collaborative optimization method significantly enhances the reliability of the drum.
KEYWORDS
reliabilityNSGA-IIthin seam coal mining machinestransportation performancecollaborative optimization
TOPICS
ABSTRACT
The structure of coal shearer drums significantly influences the transportation efficiency and load fluctuations of thin seam coal shearers. To enhance drum efficiency and reliability, this paper proposes a collaborative optimization method based on an improved NSGA-II algorithm. Initially, using the Discrete Element Method (DEM), we analyze the impact of helical blades on transportation performance and investigate novel designs for two types of coal-guiding drums. To optimize dynamic performance, concepts like spatial density and adaptive radius are introduced, proposing an NSGA-II enhancement strategy based on spatial density for the collaborative optimization of drum structure and motion parameters. Finally, the entropy-weighted TOPSIS method is used for subjective evaluation to select the optimal solution. Research findings demonstrate that this collaborative optimization method significantly enhances drum reliability, reducing load fluctuations by 46.34%, increasing transportation efficiency by 7.06%, and decreasing transportation power by 27.31%.
ACKNOWLEDGEMENTS
This work was supported by Project of Shanxi Provincial Science and Technology Major Special Plan (grant number :202201100401016)
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