Experimental determination and numerical simulation of mixing time in a gas–liquid stirred tank

材料科学 化学 静态混合器 热力学
作者
Qinghua Zhang,Yumei Yong,Zai-Sha Mao,Chao Yang,Chengjun Zhao
出处
期刊:Chemical Engineering Science [Elsevier]
卷期号:64 (12): 2926-2933 被引量:64
标识
DOI:10.1016/j.ces.2009.03.030
摘要

In this work, mixing experiments and numerical simulations of flow and macro-mixing were carried out in a 0.24 m i.d gas-liquid stirred tank agitated by a Rushton turbine. The conductivity technique was used to measure the mixing time. A two-phase CFD (computational fluid dynamics) model was developed to calculate the flow field, k and e distributions and holdup. Comparison between the predictions and the reported experimental data [Lu, W.M., Ju, SJ., 1987. Local gas holdup, mean liquid velocity and turbulence in an aerated stirred tank using hot-film anemometry. Chemical Engineering journal 35 (1), 9-17] of flow field and holdup at same conditions were investigated and good agreements have been got. As the complexity of gas-liquid systems, there was still no report on the prediction of mixing time through CFD models in a gas-liquid stirred tank. In this paper, the two-phase CFD model was extended for the prediction of the mixing time in the gas-liquid stirred tank for the first time. The effects of operating parameters such as impeller speed, gas flow rate and feed position on the mixing time were compared. Good agreements between the simulations and experimental values of the mixing time have also been achieved. (C) 2009 Elsevier Ltd. All rights reserved.
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
Amai发布了新的文献求助20
1秒前
langzi发布了新的文献求助10
1秒前
ZH的天方夜谭完成签到,获得积分20
1秒前
酷波er应助Rrr采纳,获得10
1秒前
Rhodomyrtus关注了科研通微信公众号
1秒前
wei完成签到,获得积分10
2秒前
2秒前
Qinruirui完成签到,获得积分10
2秒前
Owen应助xia采纳,获得10
2秒前
ddy完成签到,获得积分10
3秒前
zmy发布了新的文献求助10
3秒前
鳗鱼厉发布了新的文献求助10
3秒前
孤存完成签到 ,获得积分10
3秒前
zho关闭了zho文献求助
3秒前
4秒前
6秒前
aaashirz_完成签到,获得积分10
6秒前
科研通AI2S应助风中寄云采纳,获得10
6秒前
coffeecup1完成签到,获得积分10
8秒前
萌萌许完成签到,获得积分10
8秒前
8秒前
斯文鸡完成签到,获得积分10
9秒前
萌萌完成签到,获得积分10
10秒前
sallltyyy完成签到,获得积分10
10秒前
VV完成签到 ,获得积分10
11秒前
11秒前
12秒前
12秒前
coffeecup1发布了新的文献求助10
12秒前
小飞完成签到,获得积分10
13秒前
牛文文完成签到,获得积分10
13秒前
GZX完成签到,获得积分10
13秒前
13秒前
14秒前
15秒前
gaga关注了科研通微信公众号
15秒前
搜集达人应助阿敏采纳,获得10
15秒前
15秒前
复杂瑛发布了新的文献求助10
16秒前
在水一方应助不对也没错采纳,获得10
16秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527884
求助须知:如何正确求助?哪些是违规求助? 3108006
关于积分的说明 9287444
捐赠科研通 2805757
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709794