亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Towards a general correlation for minimum fluidization velocity in gas-fluidized beds: Based on a database mining from the literature

流态化 阻力 流化床 机械 CFD-DEM公司 物理 相关性 热力学 数学 计算流体力学 几何学
作者
Jibin Zhou,Mao Ye,Zhongmin Liu
出处
期刊:Chemical Engineering Science [Elsevier]
卷期号:251: 117455-117455 被引量:2
标识
DOI:10.1016/j.ces.2022.117455
摘要

As one of the most significant parameters in fluidized beds design and operation, the minimum fluidization velocity (Umf) has received utmost attention since 1940s. As an effective reference for evaluating the fluidization characteristic, Umf is conventionally predicted using the empirical correlation developed based on experiments for the specified gas-solid system. Despite more than 100 correlations proposed in the literature, these correlations show great diversity in either the applicable regimes or the mathematical formulae. Thus a general correlation for accurately determining Umf is highly desired. In this work, with a recently established database of Umf mined from published papers, the empirical correlations with four different formulae were first assessed for Geldart Groups A, B, and D particles, respectively. In view of the application limitations, modifications to different formulae of empirical correlations have been made to achieve satisfactory performances in predicting Umf for either Geldart Groups A, B, or D particles. Note that Umf is essentially determined by the balance between the gravitational force and drag force for a gas-solid system, a new formula based on a fluidized bed drag correlation derived from direct numerical simulations (DNS) was proposed. By using this formula, we developed a general correlation for Umf in gas-fluidized beds, which exhibits the best performance for all Geldart Groups A, B, and D particles when compared with empirical correlations reported in the literature.

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
伊伊伊伊一一一完成签到,获得积分10
12秒前
ding应助scn666采纳,获得10
15秒前
思源应助桃子e采纳,获得10
18秒前
欣喜的香菱完成签到 ,获得积分10
41秒前
47秒前
51秒前
桃子e发布了新的文献求助10
55秒前
量子星尘发布了新的文献求助10
59秒前
1分钟前
1分钟前
难过忆山发布了新的文献求助10
1分钟前
英姑应助Zz采纳,获得10
1分钟前
所所应助科研通管家采纳,获得10
1分钟前
量子星尘发布了新的文献求助10
1分钟前
hq完成签到 ,获得积分10
2分钟前
2分钟前
poki完成签到 ,获得积分10
2分钟前
3分钟前
3分钟前
3分钟前
充电宝应助科研通管家采纳,获得10
3分钟前
3分钟前
天天快乐应助Fluoxtine采纳,获得10
3分钟前
3分钟前
3分钟前
3分钟前
4分钟前
twk发布了新的文献求助10
4分钟前
4分钟前
研友_VZG7GZ应助粗暴的坤采纳,获得10
4分钟前
4分钟前
科研通AI6.1应助jyy采纳,获得10
5分钟前
牛马研究生完成签到 ,获得积分10
5分钟前
5分钟前
5分钟前
思源应助科研通管家采纳,获得10
5分钟前
大模型应助科研通管家采纳,获得10
5分钟前
科研通AI2S应助科研通管家采纳,获得10
5分钟前
5分钟前
5分钟前
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
Encyclopedia of Quaternary Science Reference Third edition 6000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Aerospace Engineering Education During the First Century of Flight 3000
Electron Energy Loss Spectroscopy 1500
Tip-in balloon grenadoplasty for uncrossable chronic total occlusions 1000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5788708
求助须知:如何正确求助?哪些是违规求助? 5710788
关于积分的说明 15473823
捐赠科研通 4916686
什么是DOI,文献DOI怎么找? 2646520
邀请新用户注册赠送积分活动 1594203
关于科研通互助平台的介绍 1548617