Li Longwei, Li Jian, Li Shichang, Dai Zhangjun, Chen Shanxiong, Wei Xiaoyang
{"title":"A hybrid scaling coarse-graining method based on a computational fluid dynamics-discrete element method","authors":"Li Longwei, Li Jian, Li Shichang, Dai Zhangjun, Chen Shanxiong, Wei Xiaoyang","doi":"10.1007/s40571-024-00859-z","DOIUrl":null,"url":null,"abstract":"<div><p>A computational fluid dynamics-discrete element method (CFD-DEM) is an important method for simulating the interaction and movement of fluid and particulate materials. Its ability to simulate the mechanical behavior of particulate materials has led to its widespread research and application. However, due to limitations in computer computing power, CFD-DEM is limited in the number of particles it can simulate, making it difficult to achieve simulations at an engineering scale. To solve this issue, this study proposes a hybrid scaling coarse-graining method (HSCGM). This method significantly reduces the number of particles by replacing a collection of small particles with a single large particle. Additionally, the principles of particle motion balance, energy conservation, and the exact scaling model are used to determine the accurate relationship for the interaction force between coarse-grained particles. Finally, the accuracy and efficiency of the calculations are analyzed through Ergun and settling tests. The results show that the HSCGM more accurately simulates the interaction forces between particles and their motion behavior, while significantly improving computational efficiency. The advantages and disadvantages of other fluid–solid coupling methods are also discussed. The HSCGM further advances the application prospects of CFD-DEM at an engineering scale.</p></div>","PeriodicalId":524,"journal":{"name":"Computational Particle Mechanics","volume":"12 2","pages":"1099 - 1113"},"PeriodicalIF":2.8000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Particle Mechanics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s40571-024-00859-z","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
A computational fluid dynamics-discrete element method (CFD-DEM) is an important method for simulating the interaction and movement of fluid and particulate materials. Its ability to simulate the mechanical behavior of particulate materials has led to its widespread research and application. However, due to limitations in computer computing power, CFD-DEM is limited in the number of particles it can simulate, making it difficult to achieve simulations at an engineering scale. To solve this issue, this study proposes a hybrid scaling coarse-graining method (HSCGM). This method significantly reduces the number of particles by replacing a collection of small particles with a single large particle. Additionally, the principles of particle motion balance, energy conservation, and the exact scaling model are used to determine the accurate relationship for the interaction force between coarse-grained particles. Finally, the accuracy and efficiency of the calculations are analyzed through Ergun and settling tests. The results show that the HSCGM more accurately simulates the interaction forces between particles and their motion behavior, while significantly improving computational efficiency. The advantages and disadvantages of other fluid–solid coupling methods are also discussed. The HSCGM further advances the application prospects of CFD-DEM at an engineering scale.
期刊介绍:
GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research.
SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including:
(a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc.,
(b) Particles representing material phases in continua at the meso-, micro-and nano-scale and
(c) Particles as a discretization unit in continua and discontinua in numerical methods such as
Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.