CFD modeling of droplet dispersion in a Venturi scrubber

文丘里效应 计算流体力学 洗涤器 色散(光学) 机械 材料科学 大气扩散模型 环境科学 化学工程 化学 机械工程 工程类 废物管理 物理 有机化学 光学 入口 空气污染
作者
F. Ahmadvand,Amirreza Talaiekhozani
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:160 (2): 423-431 被引量:28
标识
DOI:10.1016/j.cej.2010.03.030
摘要

A modified two-dimensional mathematical model was developed to simulate droplet dispersion through a cylindrical Venturi scrubber based on Eulerian approach. Droplet concentration distribution was evaluated using the equation of mass balance of droplets. The velocity field of gas flow was determined using k–ɛ turbulence model. Droplet velocity distribution was calculated by means of the equations derived using momentum balance of droplets. Gas eddy diffusivity which has already been determined based on constant Peclet number in the previous models was calculated using turbulent characteristic velocity and length. Fathikalajahi et al. approach was applied to calculate eddy diffusivity of droplets (Fathikalajahi et al., 1995 [7]). The mean diameter of generated droplets was determined by Boll's correlation (Boll et al., 1974 [16]). Rosin–Rammler distribution function was used to take into account the distribution of droplet size. In order to verify the results of the new model a set of experiments was performed on a pilot-scale cylindrical Venturi scrubber with axial liquid injection. During these experiments, the flow rates of liquid droplets were measured at several points of throat section end from center line to the wall. The comparison between the results and experimental data showed that the droplet concentration distribution predicted using the present model were in better agreement with experimental data than that predicted using the previous models which were based on constant Peclet number. Also it was concluded the distribution parameter of Rosin–Rammler function, nRR, could not be considered as a constant parameter and it depended on the L/G (gas to liquid flow rate ratio) and Vg0 (gas throat velocity).

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
梵强斯发布了新的文献求助30
2秒前
淡定冰烟关注了科研通微信公众号
2秒前
wanci应助等风来、云飞扬采纳,获得10
2秒前
2秒前
2秒前
2秒前
3秒前
hotdx完成签到,获得积分10
4秒前
liu完成签到,获得积分10
4秒前
无极微光应助霸气的梦露采纳,获得20
4秒前
蓝天发布了新的文献求助20
4秒前
唯心如意完成签到,获得积分10
5秒前
絮语发布了新的文献求助10
5秒前
青山完成签到,获得积分10
5秒前
6秒前
科研通AI2S应助JQKing采纳,获得10
7秒前
8秒前
乐乐应助科研通管家采纳,获得10
8秒前
香蕉觅云应助科研通管家采纳,获得10
8秒前
shining应助科研通管家采纳,获得10
8秒前
Owen应助科研通管家采纳,获得10
8秒前
Lucas应助科研通管家采纳,获得10
8秒前
顾矜应助科研通管家采纳,获得30
8秒前
8秒前
8秒前
8秒前
充电宝应助科研通管家采纳,获得10
8秒前
8秒前
9秒前
9秒前
9秒前
10秒前
vivianxy发布了新的文献求助10
12秒前
虚拟的清炎完成签到 ,获得积分10
12秒前
12秒前
13秒前
絮语完成签到,获得积分10
14秒前
1111发布了新的文献求助10
14秒前
lio发布了新的文献求助10
14秒前
小二郎应助研友_6n0P7n采纳,获得30
15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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6356771
求助须知:如何正确求助?哪些是违规求助? 8171470
关于积分的说明 17204729
捐赠科研通 5412588
什么是DOI,文献DOI怎么找? 2864711
邀请新用户注册赠送积分活动 1842216
关于科研通互助平台的介绍 1690424