{"title":"多目标优化与CFD-DEM仿真对MMLM2550立辊磨性能改善的评价","authors":"Hailiang Hu, Yiming Li, Guiqiu Song","doi":"10.1016/j.jtice.2025.106359","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The structure of a vertical roller mill (VRM) significantly affects the distribution of the flow field and the separation performance. However, a few studies on the middle shell body structure and outlet size exist.</div></div><div><h3>Method</h3><div>This paper studies the MMLM2550 VRM. It employs the Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) bidirectional coupling numerical simulation to optimize the geometric structure of the mill, in order to evaluate the impacts of the height, diameter, and outlet diameter of the middle shell body on its performance, which allows to identify critical design variables. The Back Propagation-Non-Dominated Sorting Genetic Algorithm-II (BP-NSGA-II) is used for multi-objective optimization, so as to develop a model for the prediction of the separation efficiency and the fineness of coal powder, yielding the Pareto solution. The obtained results demonstrate that the adjustment of the mill structure allows to optimize its internal flow field distribution.</div></div><div><h3>Significant findings</h3><div>By prioritizing the efficiency of the collected coal powder output from the mill, its quality is significantly improved, which results in increasing its fineness by 12.19 %. The results obtained in this study provide valuable insights into the structures of VRM and serve as a reference for enhancing its flow field and increasing its separation performance.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"178 ","pages":"Article 106359"},"PeriodicalIF":6.3000,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of the improvement of the MMLM2550 vertical roller mill performance brought by multi-objective optimization and CFD-DEM simulation\",\"authors\":\"Hailiang Hu, Yiming Li, Guiqiu Song\",\"doi\":\"10.1016/j.jtice.2025.106359\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The structure of a vertical roller mill (VRM) significantly affects the distribution of the flow field and the separation performance. However, a few studies on the middle shell body structure and outlet size exist.</div></div><div><h3>Method</h3><div>This paper studies the MMLM2550 VRM. It employs the Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) bidirectional coupling numerical simulation to optimize the geometric structure of the mill, in order to evaluate the impacts of the height, diameter, and outlet diameter of the middle shell body on its performance, which allows to identify critical design variables. The Back Propagation-Non-Dominated Sorting Genetic Algorithm-II (BP-NSGA-II) is used for multi-objective optimization, so as to develop a model for the prediction of the separation efficiency and the fineness of coal powder, yielding the Pareto solution. The obtained results demonstrate that the adjustment of the mill structure allows to optimize its internal flow field distribution.</div></div><div><h3>Significant findings</h3><div>By prioritizing the efficiency of the collected coal powder output from the mill, its quality is significantly improved, which results in increasing its fineness by 12.19 %. The results obtained in this study provide valuable insights into the structures of VRM and serve as a reference for enhancing its flow field and increasing its separation performance.</div></div>\",\"PeriodicalId\":381,\"journal\":{\"name\":\"Journal of the Taiwan Institute of Chemical Engineers\",\"volume\":\"178 \",\"pages\":\"Article 106359\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Taiwan Institute of Chemical Engineers\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1876107025004109\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Taiwan Institute of Chemical Engineers","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1876107025004109","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
摘要
立辊磨的结构对流场分布和分离性能有重要影响。但对中壳体结构和出口尺寸的研究较少。方法对MMLM2550型VRM进行研究。采用计算流体动力学-离散元法(CFD-DEM)双向耦合数值模拟优化磨机几何结构,评估中壳体高度、直径、出口直径对磨机性能的影响,识别关键设计变量。采用反向传播-非支配分选遗传算法- ii (BP-NSGA-II)进行多目标优化,建立了预测分选效率和煤粉细度的模型,得到了Pareto解。结果表明,调整磨机结构可以优化其内部流场分布。通过优先考虑从磨机中收集的煤粉产量的效率,其质量显着提高,从而使其细度提高了12.19%。本文的研究结果为进一步研究VRM的结构提供了有价值的思路,并为增强其流场和提高其分离性能提供了参考。
Evaluation of the improvement of the MMLM2550 vertical roller mill performance brought by multi-objective optimization and CFD-DEM simulation
Background
The structure of a vertical roller mill (VRM) significantly affects the distribution of the flow field and the separation performance. However, a few studies on the middle shell body structure and outlet size exist.
Method
This paper studies the MMLM2550 VRM. It employs the Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) bidirectional coupling numerical simulation to optimize the geometric structure of the mill, in order to evaluate the impacts of the height, diameter, and outlet diameter of the middle shell body on its performance, which allows to identify critical design variables. The Back Propagation-Non-Dominated Sorting Genetic Algorithm-II (BP-NSGA-II) is used for multi-objective optimization, so as to develop a model for the prediction of the separation efficiency and the fineness of coal powder, yielding the Pareto solution. The obtained results demonstrate that the adjustment of the mill structure allows to optimize its internal flow field distribution.
Significant findings
By prioritizing the efficiency of the collected coal powder output from the mill, its quality is significantly improved, which results in increasing its fineness by 12.19 %. The results obtained in this study provide valuable insights into the structures of VRM and serve as a reference for enhancing its flow field and increasing its separation performance.
期刊介绍:
Journal of the Taiwan Institute of Chemical Engineers (formerly known as Journal of the Chinese Institute of Chemical Engineers) publishes original works, from fundamental principles to practical applications, in the broad field of chemical engineering with special focus on three aspects: Chemical and Biomolecular Science and Technology, Energy and Environmental Science and Technology, and Materials Science and Technology. Authors should choose for their manuscript an appropriate aspect section and a few related classifications when submitting to the journal online.