Research on the optimization of drum structure based on virtual prototyping technology
Abstract Drums are the core working mechanism of the coal mining machine for coal mining. The structural design level of the drum is crucial for mining efficiency and safety production. Traditional design methods not only have long design cycles and high costs, but also limited design capabilities....
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-85464-7 |
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| author | Xin Jin Dongpo Han Guochao Zhao Lijuan Zhao Hongmei Liu |
| author_facet | Xin Jin Dongpo Han Guochao Zhao Lijuan Zhao Hongmei Liu |
| author_sort | Xin Jin |
| collection | DOAJ |
| description | Abstract Drums are the core working mechanism of the coal mining machine for coal mining. The structural design level of the drum is crucial for mining efficiency and safety production. Traditional design methods not only have long design cycles and high costs, but also limited design capabilities. This study used computer numerical simulation methods to establish coupled models for drum cutting complex coal seams, which was used to obtain the working performance of drums with different structures. By fitting the comprehensive performance evaluation function of the drum, the optimal structural parameters are obtained through the improved Non-Dominated Sorting Genetic Algorithms (NSGA-II). Taking into account both technical and economic factors, the optimal helix angle is ultimately determined to be 18°, the optimal installation angle is 45°, and the optimal cutting distance is 71 mm. Through experiments, it has been proven that the performance of the optimized drum has significantly improved. Specifically, the average cutting resistance has been reduced by 12.72%, the load fluctuation coefficient has been reduced by 9.81%, the cutting specific energy consumption has been reduced by 2.85%, and the coal loading rate has been increased by 9.59%, providing a reference for the optimization design of the shearer drum structure. |
| format | Article |
| id | doaj-art-39da553067cf40f2825bcb2a19820f8a |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-39da553067cf40f2825bcb2a19820f8a2025-01-12T12:17:51ZengNature PortfolioScientific Reports2045-23222025-01-0115111810.1038/s41598-025-85464-7Research on the optimization of drum structure based on virtual prototyping technologyXin Jin0Dongpo Han1Guochao Zhao2Lijuan Zhao3Hongmei Liu4School of Mechanical Engineering, Liaoning Technical UniversitySchool of Mechanical Engineering, Liaoning Technical UniversitySchool of Mechanical Engineering, Liaoning Technical UniversitySchool of Mechanical Engineering, Liaoning Technical UniversitySchool of Mechanical Engineering, Liaoning Technical UniversityAbstract Drums are the core working mechanism of the coal mining machine for coal mining. The structural design level of the drum is crucial for mining efficiency and safety production. Traditional design methods not only have long design cycles and high costs, but also limited design capabilities. This study used computer numerical simulation methods to establish coupled models for drum cutting complex coal seams, which was used to obtain the working performance of drums with different structures. By fitting the comprehensive performance evaluation function of the drum, the optimal structural parameters are obtained through the improved Non-Dominated Sorting Genetic Algorithms (NSGA-II). Taking into account both technical and economic factors, the optimal helix angle is ultimately determined to be 18°, the optimal installation angle is 45°, and the optimal cutting distance is 71 mm. Through experiments, it has been proven that the performance of the optimized drum has significantly improved. Specifically, the average cutting resistance has been reduced by 12.72%, the load fluctuation coefficient has been reduced by 9.81%, the cutting specific energy consumption has been reduced by 2.85%, and the coal loading rate has been increased by 9.59%, providing a reference for the optimization design of the shearer drum structure.https://doi.org/10.1038/s41598-025-85464-7Coal miningDrumCutting performanceStructural optimizationComputer simulationNSGA-II |
| spellingShingle | Xin Jin Dongpo Han Guochao Zhao Lijuan Zhao Hongmei Liu Research on the optimization of drum structure based on virtual prototyping technology Scientific Reports Coal mining Drum Cutting performance Structural optimization Computer simulation NSGA-II |
| title | Research on the optimization of drum structure based on virtual prototyping technology |
| title_full | Research on the optimization of drum structure based on virtual prototyping technology |
| title_fullStr | Research on the optimization of drum structure based on virtual prototyping technology |
| title_full_unstemmed | Research on the optimization of drum structure based on virtual prototyping technology |
| title_short | Research on the optimization of drum structure based on virtual prototyping technology |
| title_sort | research on the optimization of drum structure based on virtual prototyping technology |
| topic | Coal mining Drum Cutting performance Structural optimization Computer simulation NSGA-II |
| url | https://doi.org/10.1038/s41598-025-85464-7 |
| work_keys_str_mv | AT xinjin researchontheoptimizationofdrumstructurebasedonvirtualprototypingtechnology AT dongpohan researchontheoptimizationofdrumstructurebasedonvirtualprototypingtechnology AT guochaozhao researchontheoptimizationofdrumstructurebasedonvirtualprototypingtechnology AT lijuanzhao researchontheoptimizationofdrumstructurebasedonvirtualprototypingtechnology AT hongmeiliu researchontheoptimizationofdrumstructurebasedonvirtualprototypingtechnology |