Yunzhou Qian , Shane P. Usher , Peter J. Scales , Anthony D. Stickland , Alessio Alexiadis
{"title":"Numerical simulation of particle consolidation under compression and shear based on the Discrete Element method","authors":"Yunzhou Qian , Shane P. Usher , Peter J. Scales , Anthony D. Stickland , Alessio Alexiadis","doi":"10.1016/j.apt.2024.104722","DOIUrl":null,"url":null,"abstract":"<div><div>This study introduces a three-dimensional (3D) Discrete Element Method (DEM) model designed to simulate particle consolidation under simultaneous compression and shear forces. The model is validated against experimental data for pure compression scenarios. Simulations involving simultaneous compression and shear are conducted to understand the impact of varying shear-to-compression ratios on particle consolidation. High shear-to-compression ratios lead to denser particle clusters, showing that shear promotes increased solid volume fractions. Additionally, the study explores the influence of different particle–particle interaction models, specifically the Derjaguin-Muller-Toporov (DMT) and Johnson-Kendall-Roberts (JKR) models. The results indicate that the DMT model generally leads to denser, more compact aggregates, whereas the JKR model tends to produce aggregates with a more elongated structure. Different agglomeration patterns were also found, which were classified as ‘shear-dominated’, ‘plateau’ and ‘compression-dominated’.</div></div>","PeriodicalId":7232,"journal":{"name":"Advanced Powder Technology","volume":"35 12","pages":"Article 104722"},"PeriodicalIF":4.2000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Powder Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0921883124003984","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This study introduces a three-dimensional (3D) Discrete Element Method (DEM) model designed to simulate particle consolidation under simultaneous compression and shear forces. The model is validated against experimental data for pure compression scenarios. Simulations involving simultaneous compression and shear are conducted to understand the impact of varying shear-to-compression ratios on particle consolidation. High shear-to-compression ratios lead to denser particle clusters, showing that shear promotes increased solid volume fractions. Additionally, the study explores the influence of different particle–particle interaction models, specifically the Derjaguin-Muller-Toporov (DMT) and Johnson-Kendall-Roberts (JKR) models. The results indicate that the DMT model generally leads to denser, more compact aggregates, whereas the JKR model tends to produce aggregates with a more elongated structure. Different agglomeration patterns were also found, which were classified as ‘shear-dominated’, ‘plateau’ and ‘compression-dominated’.
期刊介绍:
The aim of Advanced Powder Technology is to meet the demand for an international journal that integrates all aspects of science and technology research on powder and particulate materials. The journal fulfills this purpose by publishing original research papers, rapid communications, reviews, and translated articles by prominent researchers worldwide.
The editorial work of Advanced Powder Technology, which was founded as the International Journal of the Society of Powder Technology, Japan, is now shared by distinguished board members, who operate in a unique framework designed to respond to the increasing global demand for articles on not only powder and particles, but also on various materials produced from them.
Advanced Powder Technology covers various areas, but a discussion of powder and particles is required in articles. Topics include: Production of powder and particulate materials in gases and liquids(nanoparticles, fine ceramics, pharmaceuticals, novel functional materials, etc.); Aerosol and colloidal processing; Powder and particle characterization; Dynamics and phenomena; Calculation and simulation (CFD, DEM, Monte Carlo method, population balance, etc.); Measurement and control of powder processes; Particle modification; Comminution; Powder handling and operations (storage, transport, granulation, separation, fluidization, etc.)