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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.

, authors=Wenda Yu1, Jiaxuan Cui1, Defang Zou1, Jinlu Hu2, Shebin Lu3, authorsList=Wenda Yu, Jiaxuan Cui, Defang Zou, Jinlu Hu, Shebin Lu, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321893364291715185, articleId=1321893363859701871, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=基于DEM-CFD耦合的螺旋搅拌磨机工作性能影响因素研究, columnId=1226462295946085268, journalTitle=矿业研究与开发, columnName=矿山机电与矿业智能化, runingTitle=null, highlight=null, articleAbstract=

为建立立式螺旋搅拌磨机工作性能预报模型并确定合理的模型输入自变量,从粉磨机理出发,采用单变量分析法系统研究了影响磨机工作性能的关键因素。首先,采用离散元法(DEM)与计算流体动力学(CFD)耦合方法建立螺旋搅拌磨机数值仿真模型,分析搅拌过程中研磨介质与矿浆的动力学特性,验证仿真模型的可靠性;然后,基于验证后的数值仿真模型,系统分析工艺参数(转速、介质填充率及矿浆质量浓度)与空间结构参数(底隙、侧隙及螺旋升角)对磨机工作性能(碰撞能、驱动扭矩及能量利用率)的影响规律,明确各因素与粉磨性能指标间的定量关系;最后,采用灵敏度分析法研究各因素影响性能指标的程度。研究结果表明,在满足粉磨效果的前提下,磨机空间尺寸设计与工艺参数选取均存在设计最优值,可达到粉磨性能与能量利用率的平衡点;空间结构参数对磨机能量利用率、碰撞能及驱动扭矩的影响程度强于工艺参数,其中螺旋升角是影响塔磨机粉磨性能的关键参数,可作为塔磨机性能预报模型的核心输入变量。

, authors=于文达1, 崔家璇1, 邹德芳1, 胡金璐2, 路社斌3, authorsList=于文达, 崔家璇, 邹德芳, 胡金璐, 路社斌, authorCompany=null, correspAuthors=null, authorNote=

于文达(1987—),男,辽宁大连人,博士,讲师,主要研究方向为矿山装备数字化建模技术。E-mail:

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于文达(1987—),男,辽宁大连人,博士,讲师,主要研究方向为矿山装备数字化建模技术。E-mail:

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于文达(1987—),男,辽宁大连人,博士,讲师,主要研究方向为矿山装备数字化建模技术。E-mail:

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基于DEM-CFD耦合的螺旋搅拌磨机工作性能影响因素研究
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于文达 1 , 崔家璇 1 , 邹德芳 1 , 胡金璐 2 , 路社斌 3
矿业研究与开发 | 矿山机电与矿业智能化 2026,46(7): 212-220
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矿业研究与开发 |矿山机电与矿业智能化 2026 , 46 (7) : 212 -220
基于DEM-CFD耦合的螺旋搅拌磨机工作性能影响因素研究
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于文达1 , 崔家璇1, 邹德芳1, 胡金璐2, 路社斌3
作者信息
  • 1.沈阳建筑大学 机械工程学院,辽宁 沈阳 110168
  • 2.北方重工集团有限公司,辽宁 沈阳 110027
  • 3.北方重工富勒(沈阳)矿业有限公司,辽宁 沈阳 110027
作者简介:

于文达(1987—),男,辽宁大连人,博士,讲师,主要研究方向为矿山装备数字化建模技术。E-mail:

Study on Influencing Factors of Working Performance of Spiral Stirred Mill Based on DEM-CFD Coupling
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
出版时间: 2026-07-25
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为建立立式螺旋搅拌磨机工作性能预报模型并确定合理的模型输入自变量,从粉磨机理出发,采用单变量分析法系统研究了影响磨机工作性能的关键因素。首先,采用离散元法(DEM)与计算流体动力学(CFD)耦合方法建立螺旋搅拌磨机数值仿真模型,分析搅拌过程中研磨介质与矿浆的动力学特性,验证仿真模型的可靠性;然后,基于验证后的数值仿真模型,系统分析工艺参数(转速、介质填充率及矿浆质量浓度)与空间结构参数(底隙、侧隙及螺旋升角)对磨机工作性能(碰撞能、驱动扭矩及能量利用率)的影响规律,明确各因素与粉磨性能指标间的定量关系;最后,采用灵敏度分析法研究各因素影响性能指标的程度。研究结果表明,在满足粉磨效果的前提下,磨机空间尺寸设计与工艺参数选取均存在设计最优值,可达到粉磨性能与能量利用率的平衡点;空间结构参数对磨机能量利用率、碰撞能及驱动扭矩的影响程度强于工艺参数,其中螺旋升角是影响塔磨机粉磨性能的关键参数,可作为塔磨机性能预报模型的核心输入变量。

螺旋搅拌磨机  /  粉磨性能  /  工艺参数  /  灵敏度分析  /  数值模拟

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 .
  • 辽宁省科技计划联合项目-博士启动项目(2024-BSLH-245)
  • 辽宁省教育厅基本科研项目(JYTMS20231604)
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2026年第46卷第7期
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  • 接收时间:2025-07-10
  • 首发时间:2026-10-27
  • 出版时间:2026-07-25
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  • 收稿日期:2025-07-10
基金
辽宁省科技计划联合项目-博士启动项目(2024-BSLH-245)
辽宁省教育厅基本科研项目(JYTMS20231604)
作者信息
    1.沈阳建筑大学 机械工程学院,辽宁 沈阳 110168
    2.北方重工集团有限公司,辽宁 沈阳 110027
    3.北方重工富勒(沈阳)矿业有限公司,辽宁 沈阳 110027
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2种不同金属材料的力学参数
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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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