Entrained air by particle plume: comparison between theoretical derivation and numerical analysis

Entrained air by particle plume: comparison between theoretical derivation and numerical analysis
复制标题

颗粒羽流夹带空气:理论推导与数值分析的比较

DOI:
10.1080/02726351.2019.1666948
复制
发表时间:
2019-09
影响因子:
2.5
通讯作者:
Wu Jifu
Wu Jifu
中科院分区:
工程技术4区
文献类型:
--
作者:
Sun Hongfa;Li Angui;Wu Jifu

文献摘要

参考文献

被引文献

相似文献

摘要工业散装物料输送和搬运过程中经常产生大量粉尘排放,严重威胁工人的身体健康。正确设计除尘系统需要了解颗粒羽流下落过程中夹带空气的体积流速。本文在前人研究的基础上,通过理论分析推导出夹带空气体积流速公式。该理论公式考虑了粒子的初速度和粒子羽流核心区的空隙率。通过与以往的实验和数值计算结果的比较,发现理论公式能较好地预测夹带空气的体积流量。通过数值计算分析了颗粒初速和颗粒源角度对夹带空气体积流速的影响。研究发现,当颗粒的初始速度从0.1 m/s增加到10 m/s时,在下降过程中,夹带空气的体积流量几乎没有受到影响。颗粒源与水平方向的夹角对夹带空气的总体积流速影响较大。颗粒源夹角在30°~ 45°范围内,不同落点高度夹带空气的总体积流量最大。
Abstract Industrial bulk material transfer and handling processes often cause large amounts of dust emission and seriously threatens workers' health. Proper design of dust removal system requires an understanding of the volume flow rate of entrained air during the falling process of the particle plume. Based on previous researches, this paper deduces the formula of the volume flow rate of entrained air through theoretical analysis. This theoretical formula involves the initial velocity of the particles and the void fraction of particle plume core zone. By comparing with former experimental and numerical calculation results, it is found that the theoretical formula can better predict the volume flow rate of entrained air. The numerical calculation is used to analyze the influence of the initial velocity of the particles and the angle of the particle source on the volume flow rate of entrained air. It was found that when the initial velocity of the particles increased from 0.1 m/s to 10 m/s, the volume flow rate of entrained air is hardly affected during the falling process. The angle between the particle source and the horizontal direction has a greater influence on the total volume flow rate of entrained air. With the angle of particle source between 30° and 45°, the total volume flow rate of entrained air is the largest for different drop height.
DOI: 10.1016/s0950-4230(01)00035-3
发表时间: 2001-11
影响因子: 3.5
作者:
R. Klemens;P. Kosinski;P. Wolański;V. P. Korobeinikov;V. Markov;I. Menshov;I. Semenov
通讯作者: R. Klemens;P. Kosinski;P. Wolański;V. P. Korobeinikov;V. Markov;I. Menshov;I. Semenov
DOI: 10.1016/j.enbuild.2015.06.056
发表时间: 2015-09-15
影响因子: 6.7
作者:
Liu, Zhijian;Zhu, Zunqiang;Li, Hao
通讯作者: Li, Hao
DOI: 10.1080/02726350701484006
发表时间: 2007-01-01
影响因子: 2.5
作者:
Liu, Z.;Cooper, P.;Wypych, P. W.
通讯作者: Wypych, P. W.
DOI: 10.1080/02726351.2012.715617
发表时间: 2013-04
影响因子: 2.5
作者:
A. A. Esmaili-A.;T. Donohue;C. Wheeler;W. Mcbride;A. Roberts
通讯作者: A. A. Esmaili-A.;T. Donohue;C. Wheeler;W. Mcbride;A. Roberts
DOI: 10.1016/j.cej.2009.04.070
发表时间: 2009-10-15
影响因子: 15.1
作者:
Ansart, Renaud;de Ryck, Alain;Dodds, John A.
通讯作者: Dodds, John A.