{"title":"Dynamic cell size method for high-efficiency simulation of particle breakage","authors":"Fulei Chen, Hui Yuan, Zihan Liu, Yongzhi Zhao","doi":"10.1016/j.partic.2025.09.004","DOIUrl":null,"url":null,"abstract":"<div><div>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 (<em>N</em><sub><em>p</em></sub>) and the number of search cells retrieved during the process of finding all neighbor particles (<em>N</em><sub><em>c</em></sub>). By integrating this new method, the cell size is supposed to be adjusted according to the ratio of <em>N</em><sub><em>p</em></sub> to <em>N</em><sub><em>c</em></sub> 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.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"106 ","pages":"Pages 213-221"},"PeriodicalIF":4.3000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Particuology","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1674200125002457","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
The word ‘particuology’ was coined to parallel the discipline for the science and technology of particles.
Particuology is an interdisciplinary journal that publishes frontier research articles and critical reviews on the discovery, formulation and engineering of particulate materials, processes and systems. It especially welcomes contributions utilising advanced theoretical, modelling and measurement methods to enable the discovery and creation of new particulate materials, and the manufacturing of functional particulate-based products, such as sensors.
Papers are handled by Thematic Editors who oversee contributions from specific subject fields. These fields are classified into: Particle Synthesis and Modification; Particle Characterization and Measurement; Granular Systems and Bulk Solids Technology; Fluidization and Particle-Fluid Systems; Aerosols; and Applications of Particle Technology.
Key topics concerning the creation and processing of particulates include:
-Modelling and simulation of particle formation, collective behaviour of particles and systems for particle production over a broad spectrum of length scales
-Mining of experimental data for particle synthesis and surface properties to facilitate the creation of new materials and processes
-Particle design and preparation including controlled response and sensing functionalities in formation, delivery systems and biological systems, etc.
-Experimental and computational methods for visualization and analysis of particulate system.
These topics are broadly relevant to the production of materials, pharmaceuticals and food, and to the conversion of energy resources to fuels and protection of the environment.