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Study on Influencing Factors of Working Performance of Spiral Stirred Mill Based on DEM-CFD Coupling
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Wenda Yu1, Jiaxuan Cui1, Defang Zou1, Jinlu Hu2, Shebin Lu3
Mining Research and Development | 2026, 46(7) : 212 - 220
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Mining Research and Development | 2026, 46(7): 212-220
Study on Influencing Factors of Working Performance of Spiral Stirred Mill Based on DEM-CFD Coupling
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Wenda Yu1, Jiaxuan Cui1, Defang Zou1, Jinlu Hu2, Shebin Lu3
Affiliations
  • 1.School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang, Liaoning 110168, China
  • 2.Northern Heavy Industries Group Co., Ltd., Shenyang, Liaoning 110027, China
  • 3.Northern Heavy Industry Fuller (Shenyang) Mining Co., Ltd., Shenyang, Liaoning 110027, China
Published: 2026-07-25
Outline
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To establish a working performance prediction model for a vertical spiral stirred mill and determine reasonable model input independent variables, this study systematically investigates the key factors influencing the mill's working performance from the grinding mechanism perspective using a univariate analysis method. Firstly, a numerical simulation model of the spiral stirred mill was established using a coupled discrete element method (DEM) and computational fluid dynamics (CFD) approach. The dynamic characteristics of the grinding media and slurry during the stirring process were analyzed, and the reliability of the simulation model was verified. Subsequently, based on the validated numerical simulation model, the influence laws of process parameters (rotational speed, media filling rate, and slurry mass concentration) and spatial structural parameters (bottom clearance, side clearance, and helix angle) on the mill's working performance (collision energy, driving torque, and energy utilization rate) were systematically analyzed, clarifying the quantitative relationships between each factor and the grinding performance indicators. Finally, a sensitivity analysis method was employed to investigate the degree of influence of each factor on the performance indicators. The research results indicate that, under the premise of satisfying the grinding effect, optimal design values exist for both the mill's spatial dimension design and process parameter selection, which can achieve a balance point between grinding performance and energy utilization rate. Spatial structural parameters exert a stronger influence degree on the mill's energy utilization rate, collision energy, and driving torque compared to process parameters. Among them, the helix angle is the critical parameter affecting the grinding performance of the tower mill and can serve as the core input variable for the mill's performance prediction model.

Spiral stirred mill  /  Grinding performance  /  Process parameter  /  Sensitivity analysis  /  Numerical simulation
于文达, 崔家璇, 邹德芳, 胡金璐, 路社斌. 基于DEM-CFD耦合的螺旋搅拌磨机工作性能影响因素研究. 矿业研究与开发, 2026 , 46 (7) : 212 -220 .
Wenda Yu, Jiaxuan Cui, Defang Zou, Jinlu Hu, Shebin Lu. Study on Influencing Factors of Working Performance of Spiral Stirred Mill Based on DEM-CFD Coupling[J]. Mining Research and Development, 2026 , 46 (7) : 212 -220 .
Year 2026 volume 46 Issue 7
48
8
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Article Info
  • Receive Date:2025-07-10
  • Online Date:2026-10-27
  • Published:2026-07-25
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  • Received:2025-07-10
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Affiliations
    1.School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang, Liaoning 110168, China
    2.Northern Heavy Industries Group Co., Ltd., Shenyang, Liaoning 110027, China
    3.Northern Heavy Industry Fuller (Shenyang) Mining Co., Ltd., Shenyang, Liaoning 110027, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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