Adhesive particulate flow: The discrete-element method and its application in energy and environmental engineering

微粒 有限元法 环境科学 能量(信号处理) 机械工程
作者
Shuiqing Li,Jeffrey S. Marshall,Guanqing Liu,Qiang Yao
出处
期刊:Progress in Energy and Combustion Science [Elsevier]
卷期号:37 (6): 633-668 被引量:169
标识
DOI:10.1016/j.pecs.2011.02.001
摘要

Abstract In this paper, recent advances in the discrete-element method (DEM) for describing motion, deposition, agglomeration or aggregation of a large number of adhesive spherical particles immersed in fluid flows, termed as adhesive particulate flow, are reviewed. The constitutive equations together with the length and time scales of DEM are compared with those of other similar Lagrangian particle methods, e.g., molecular dynamics (MD), Brownian dynamics (BD), dissipative particle dynamics (DPD). The adhesive contact force and torque models in the presence of different adhesive effects are examined, including van der Waals force, ligand-receptor binding, liquid bridging force, interface adhesion, and sintering forces, all of which play an important role in DEM formulations for different types of adhesive particulate flow problems of interest in energy, combustion and environmental fluid mechanics problems. A summary of various kinds of particle-field interactions is presented, including fluid forces, electric field forces, acoustic force, and thermophoretic force. The computational method is illustrated by application to a series of examples involving capture of spherical particles by a fiber in a uniform upstream flow, examining the deposition/aggregation patterns of both mono-size and binary-size particles on the cylinder with and without the presence of electric field effects, which may be due either to charging of the cylinder or polarization of the particles. Particle capture problems of this sort are commonly encountered in filtration problems and ash-removal problems experienced in environmental and combustion applications, respectively. The article concludes with a discussion of remaining modeling challenges in development of discrete-element methods for adhesive particulate flow fields.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
3秒前
丘比特应助小木子采纳,获得10
3秒前
3秒前
汤圆关注了科研通微信公众号
3秒前
cjdsb发布了新的文献求助10
3秒前
4秒前
wxy发布了新的文献求助10
4秒前
4秒前
5秒前
巴黎的防发布了新的文献求助10
5秒前
英俊的铭应助温馨采纳,获得10
6秒前
佳银完成签到,获得积分10
7秒前
dalibaba发布了新的文献求助10
7秒前
7秒前
默默善愁发布了新的文献求助10
7秒前
7秒前
8秒前
8秒前
奋斗向南发布了新的文献求助10
8秒前
9秒前
9秒前
10秒前
levitt233完成签到 ,获得积分10
11秒前
mona完成签到 ,获得积分10
11秒前
zero完成签到 ,获得积分10
12秒前
华仔应助666采纳,获得10
13秒前
清绘发布了新的文献求助10
14秒前
学不完了发布了新的文献求助10
14秒前
冷静的冰露完成签到,获得积分10
15秒前
15秒前
17秒前
加油少年完成签到,获得积分10
17秒前
nancylan应助科研通管家采纳,获得10
17秒前
思源应助科研通管家采纳,获得10
17秒前
所所应助科研通管家采纳,获得10
17秒前
Hello应助科研通管家采纳,获得10
17秒前
17秒前
CipherSage应助科研通管家采纳,获得10
17秒前
CodeCraft应助科研通管家采纳,获得10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1001
The Antibodies, Vol. 2,3,4,5,6 1000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 1000
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5461138
求助须知:如何正确求助?哪些是违规求助? 4566175
关于积分的说明 14303831
捐赠科研通 4491884
什么是DOI,文献DOI怎么找? 2460490
邀请新用户注册赠送积分活动 1449811
关于科研通互助平台的介绍 1425582