The discrete element method(DEM)has become a powerful tool to investigate the breakage process,which has drawn increasing attention in recent years.The process of particle breakage can be regarded as the reduction of ...The discrete element method(DEM)has become a powerful tool to investigate the breakage process,which has drawn increasing attention in recent years.The process of particle breakage can be regarded as the reduction of the particle size,which results in the explosive growth of particle number,making the computation inefficient.Contact detection is a major process in DEM simulation.The cell size is a crucial parameter for contact detection and has a great influence on computational efficiency.The static cell size method is usually employed,and the size will be set before the simulation according to the particle size.Since the particle size changes during the breakage simulation,the static cell size method is no longer proper.As a result,a dynamic cell size method is proposed in this study.Two parameters are critical in this method that are key to the computational efficiency,including the number of neighbor particles retrieved for a specific particle(Np)and the number of search cells retrieved during the process of finding all neighbor particles(Nc).By integrating this new method,the cell size is supposed to be adjusted according to the ratio of Np to Nc to achieve a high efficiency of contact detection.By comparing the computational time of the same simulation case,the dynamic cell size method achieves substantial computational time reduction for equivalent simulation scenarios,and the efficiency under different cell sizes is recorded to validate the cell size in the subsequent test case.展开更多
We intend to provide a systematic review of a series of works conducted by our group on the modeling and investigation of the comminution of minerals(primarily including the grinding and crushing processes)using the d...We intend to provide a systematic review of a series of works conducted by our group on the modeling and investigation of the comminution of minerals(primarily including the grinding and crushing processes)using the discrete element method(DEM).As the first part of the two-part series,this paper comprehensively reviews the theoretical developments in modeling mineral comminution processes using the DEM.This paper concentrates on the key advancements in enhancing simulation accuracy and calculation efficiency of DEM simulations,including the development of energy-based wear prediction models(such as the shear impact energy model and its improved versions)and particle breakage models within the DEM framework.Subsequently,the coupling strategies of DEM with computational fluid dynamics(CFD)and multi-body dynamics(MBD)used to address multi-physics challenges in comminution simulations are elaborated.These theoretical foundations and numerical models establish a robust basis for the numerical investigations of grinding and crushing processes,providing the important technical support for high-fidelity and efficient DEM simulations in mineral processing.展开更多
基金supported by the National Natural Science Foundation of China(grant No.22078283).
文摘The discrete element method(DEM)has become a powerful tool to investigate the breakage process,which has drawn increasing attention in recent years.The process of particle breakage can be regarded as the reduction of the particle size,which results in the explosive growth of particle number,making the computation inefficient.Contact detection is a major process in DEM simulation.The cell size is a crucial parameter for contact detection and has a great influence on computational efficiency.The static cell size method is usually employed,and the size will be set before the simulation according to the particle size.Since the particle size changes during the breakage simulation,the static cell size method is no longer proper.As a result,a dynamic cell size method is proposed in this study.Two parameters are critical in this method that are key to the computational efficiency,including the number of neighbor particles retrieved for a specific particle(Np)and the number of search cells retrieved during the process of finding all neighbor particles(Nc).By integrating this new method,the cell size is supposed to be adjusted according to the ratio of Np to Nc to achieve a high efficiency of contact detection.By comparing the computational time of the same simulation case,the dynamic cell size method achieves substantial computational time reduction for equivalent simulation scenarios,and the efficiency under different cell sizes is recorded to validate the cell size in the subsequent test case.
基金supported by the National Natural Science Foundation of China(No.12572469 and No.52205172)the Natural Science Foundation of Shandong Province(No.ZR2025QC1115)+2 种基金the Zhejiang Provincial Natural Science Foundation(No.LY23E050015)the Shanghai Natural Science Foundation(No.25ZR1402286)the Taishan Scholars Program(No.tsqn202408001).
文摘We intend to provide a systematic review of a series of works conducted by our group on the modeling and investigation of the comminution of minerals(primarily including the grinding and crushing processes)using the discrete element method(DEM).As the first part of the two-part series,this paper comprehensively reviews the theoretical developments in modeling mineral comminution processes using the DEM.This paper concentrates on the key advancements in enhancing simulation accuracy and calculation efficiency of DEM simulations,including the development of energy-based wear prediction models(such as the shear impact energy model and its improved versions)and particle breakage models within the DEM framework.Subsequently,the coupling strategies of DEM with computational fluid dynamics(CFD)and multi-body dynamics(MBD)used to address multi-physics challenges in comminution simulations are elaborated.These theoretical foundations and numerical models establish a robust basis for the numerical investigations of grinding and crushing processes,providing the important technical support for high-fidelity and efficient DEM simulations in mineral processing.
