The role of meso-scale structures in rapid gas–solid flows

机械 消散 阻力 粒子(生态学) 不稳定性 物理 惯性参考系 比例(比率) 经典力学 材料科学 热力学 地质学 量子力学 海洋学
作者
Kapil Agrawal,Peter N. Loezos,Madhava Syamlal,Sankaran Sundaresan
出处
期刊:Journal of Fluid Mechanics [Cambridge University Press]
卷期号:445: 151-185 被引量:717
标识
DOI:10.1017/s0022112001005663
摘要

Meso-scale structures that take the form of clusters and streamers are commonly observed in dilute gas–particle flows, such as those encountered in risers. Continuum equations for gas–particle flows, coupled with constitutive equations for particle-phase stress deduced from kinetic theory of granular materials, can capture the formation of such meso-scale structures. These structures arise as a result of an inertial instability associated with the relative motion between the gas and particle phases, and an instability due to damping of the fluctuating motion of particles by the interstitial fluid and inelastic collisions between particles. It is demonstrated that the meso-scale structures are too small, and hence too expensive, to be resolved completely in simulation of gas–particle flows in large process vessels. At the same time, failure to resolve completely the meso-scale structures in a simulation leads to grossly inaccurate estimates of inter-phase drag, production/dissipation of pseudo-thermal energy associated with particle fluctuations, the effective particle-phase pressure and the effective viscosities. It is established that coarse-grid simulation of gas–particle flows must include sub-grid models, to account for the effects of the unresolved meso-scale structures. An approach to developing a plausible sub-grid model is proposed.
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
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
zzmax完成签到,获得积分10
刚刚
刚刚
刚刚
布鲁克发布了新的文献求助10
1秒前
Ava应助霜鸣采纳,获得10
2秒前
4秒前
豆子发布了新的文献求助10
4秒前
传奇3应助ylky采纳,获得10
5秒前
5秒前
zz0429发布了新的文献求助10
5秒前
oopsabc发布了新的文献求助10
5秒前
呐呐呐完成签到 ,获得积分10
6秒前
9秒前
隐形曼青应助布鲁克采纳,获得10
10秒前
顺利绿真发布了新的文献求助10
10秒前
13秒前
lnb666777888发布了新的文献求助10
13秒前
端庄煎饼完成签到,获得积分10
13秒前
13秒前
ding应助tangzanwayne采纳,获得10
13秒前
14秒前
Akim应助研友_89eRG8采纳,获得10
16秒前
小宋应助杨琴采纳,获得10
16秒前
16秒前
zz0429发布了新的文献求助10
18秒前
18秒前
Steplan完成签到,获得积分10
18秒前
七十三度完成签到,获得积分10
18秒前
majar完成签到,获得积分10
18秒前
19秒前
老婆婆发布了新的文献求助30
19秒前
19秒前
lnb666777888完成签到,获得积分10
19秒前
狗狗明明发布了新的文献求助10
20秒前
ding应助永诚boyhu502采纳,获得10
21秒前
22秒前
23秒前
zpbb完成签到,获得积分10
23秒前
23秒前
我要BZ了发布了新的文献求助10
25秒前
高分求助中
Mass producing individuality 600
Algorithmic Mathematics in Machine Learning 500
非光滑分析与控制理论 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
A Combined Chronic Toxicity and Carcinogenicity Study of ε-Polylysine in the Rat 400
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
Superiority of opioid free anesthesia with regional block over opioid anesthesia with regional block in the quality of recovery after retroperitoneiscopic renal surgery: a randomized controlled trial 200
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3826938
求助须知:如何正确求助?哪些是违规求助? 3369242
关于积分的说明 10454864
捐赠科研通 3088829
什么是DOI,文献DOI怎么找? 1699473
邀请新用户注册赠送积分活动 817343
科研通“疑难数据库(出版商)”最低求助积分说明 770158