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<p>Simulation methods enable the study and analysis of systems by modeling real-world behaviors, predicting trends, and optimizing performance. This paper provides a comprehensive review of the application and development of simulation methods in the grinding process. The application of several mathematical models to mill simulation is introduced, and the application of the discrete element method (DEM)-based physical modeling in various milling equipment is described. The two primary microscopic models for simulating mineral dissociation are discussed, and the role of process modeling in milling is analyzed. Additionally, the advantages and disadvantages of simulation methods are discussed providing suggestions and perspectives for their future development. This paper contributes information to promote the further application of simulation methods in the milling process, thus providing a useful basis for enhancing milling efficiency, reducing energy consumption, and improving product quality.</p>

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Comprehensive Review of Simulation Methods in Grinding Processes: Models, Mechanisms, Applications, and Future Directions

  • 期刊论文

  • 发表日期：

    2025年7月8日

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  • Peng Gao,
  • Pengcheng Tian,
  • Zhidong Tang,
  • Xiao Wang,
  • Jiahao He

摘要

Simulation methods enable the study and analysis of systems by modeling real-world behaviors, predicting trends, and optimizing performance. This paper provides a comprehensive review of the application and development of simulation methods in the grinding process. The application of several mathematical models to mill simulation is introduced, and the application of the discrete element method (DEM)-based physical modeling in various milling equipment is described. The two primary microscopic models for simulating mineral dissociation are discussed, and the role of process modeling in milling is analyzed. Additionally, the advantages and disadvantages of simulation methods are discussed providing suggestions and perspectives for their future development. This paper contributes information to promote the further application of simulation methods in the milling process, thus providing a useful basis for enhancing milling efficiency, reducing energy consumption, and improving product quality.