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金属矿山 ›› 2025, Vol. 54 ›› Issue (9): 98-106.

• 矿物工程 • 上一篇    下一篇

基于 PRM 的颗粒破碎数值模拟方法研究进展 

孙义豪1,2   刘金艳1,2   左蔚然1,2   黄  岚1,2   周子浩1,2    

  1. 1. 福州大学紫金地质与矿业学院,福建 福州 350108;2. 福建省新能源金属绿色提取与高值利用重点实验室,福建 福州 350108
  • 出版日期:2025-09-15 发布日期:2025-10-09
  • 通讯作者: 刘金艳(1984—),女,讲师,博士,硕士研究生导师。
  • 作者简介:孙义豪(2000—),男,硕士研究生。
  • 基金资助:
    国家自然科学基金项目(编号:52074091);福建省中青年教师教育科研项目(科技类)(编号:JAT220013)。 

Research Progress of Particle Breakage Numerical Simulation Method Based on PRM

SUN Yihao 1,2   LIU Jinyan 1,2   ZUO Weiran 1,2   HUANG Lan 1,2   ZHOU Zihao 1,2    

  1. 1. Zijin College of Geology and Mining,Fuzhou University,Fuzhou 350108,China; 2. Key Laboratory of Green Extraction and High Value Utilization of New Energy Metals,Fuzhou 350108,China
  • Online:2025-09-15 Published:2025-10-09

摘要: 颗粒破碎是矿业、化工、建材等领域的关键环节,其能量耗散与破碎行为关乎工程设计和设备性能优 化。 传统实验方法在捕捉动态破碎过程与微观机制方面存在局限,且成本较高。 基于颗粒替换法( particle replacement method,PRM)的数值模拟方法为研究颗粒破碎提供了有效手段。 该方法通过预设颗粒替代模式和破碎准则来 模拟颗粒的破碎过程。 通过文献调研与对比分析,系统综述了基于接触力、应力张量和能量的三类破碎准则的适用 性与局限性,并探讨了子代数量确定、质量守恒实现及非球形建模等替换模式的关键问题。 结果表明,PRM 在预测破 碎后颗粒分布与形态方面具有较好潜力,但仍存在准则缺乏统一性、替换模式依赖经验等问题。 未来应致力于构建 普适性破碎准则、发展多物理场耦合模型,并结合机器学习与实验数据提升模拟精度与工程适用性。 

关键词: 颗粒破碎  数值模拟  PRM  破碎准则  替换模式 

Abstract: Particle breakage is a critical process in the fields of mining,chemical engineering,and building materials, where energy dissipation and fragmentation behavior are crucial for engineering design and equipment performance optimization. Traditional experimental methods face limitations in capturing the dynamic breakage process and microscopic mechanisms,in addition to being costly. The numerical simulation approach based on the particle replacement method (PRM) offers an effective means for investigating particle breakage. This method simulates the breakage process by predefined particle replacement modes and breakage criteria. Through literature review and comparative analysis,this paper systematically summarizes the applicability and limitations of three types of breakage criteria based on contact force,stress tensor,and energy,and discusses key issues in replacement modes,such as determination of progeny number,mass conservation,and non-spherical particle modeling. The results indicate that PRM shows promising potential in predicting post-breakage particle distribution and morphology. However,challenges remain,including the lack of unified criteria and the empirical nature of replacement modes. Future efforts should focus on developing universal breakage criteria,advancing multi-physics coupling models,and incorporating machine learning and experimental data to enhance simulation accuracy and engineering applicability. 

Key words: particle breakage,numerical simulation,PRM,breakage criterion,replacement pattern 

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