首页 | 本学科首页   官方微博 | 高级检索  
     

宽Re范围内气泡和液滴曳力系数的关联模型
引用本文:龚升高 高宁宁 曾乐林 李安伍 刘孝玉 唐清 李来丙. 宽Re范围内气泡和液滴曳力系数的关联模型[J]. 过程工程学报, 2021, 21(6): 649-657. DOI: 10.12034/j.issn.1009-606X.220166
作者姓名:龚升高 高宁宁 曾乐林 李安伍 刘孝玉 唐清 李来丙
作者单位:湖南工学院材料与化学工程学院,湖南衡阳421002;湖南理工学院化学化工学院,湖南岳阳414006
基金项目:湖南省自然科学基金项目;湖南工学院博士启动基金;湖南工学院博士启动基金;湖南省材料科学与工程特色应用学科;锰酸锂用电解二氧化锰绿色生产与应用湖南省工程研究中心;MgCl26H2O-Mg(OH)2-MgO技术路线制备高纯镁砂过程基础研究;湖南省教育厅项目;湖南省教育厅项目
摘    要:流粒(气泡或液滴)的曳力系数CD和上升/终端速度因有助于准确预测反应器内相含率分布、液相速度分布、流粒停留时间和传质速率而具有重要意义.但现有用于估算流粒CD的关联式大多分段且只在低雷诺数Re区间内有效,并难以同时准确预测不同实验体系和操作条件下的实验结果.针对这些不足,基于实验测量和理论分析,本工作提出了一个能够在整...

关 键 词:曳力系数  数学模型  上升速度  液滴  气泡
收稿时间:2020-05-29

A correlation model of drag coefficient for bubbles/droplets in a wide Reynolds number range
Shenggao GONG Ningning GAO Lelin ZENG Anwu LI Xiaoyu LIU Qing TANG Laibing LI. A correlation model of drag coefficient for bubbles/droplets in a wide Reynolds number range[J]. Chinese Journal of Process Engineering, 2021, 21(6): 649-657. DOI: 10.12034/j.issn.1009-606X.220166
Authors:Shenggao GONG Ningning GAO Lelin ZENG Anwu LI Xiaoyu LIU Qing TANG Laibing LI
Affiliation:1. School of Materials and Chemical Engineering, Hunan Institute of Technology, Hengyang, Hunan 421002, China2. School of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China
Abstract:It is of great significance to predict the drag coefficient CD and the rising velocity of fluid particles (i.e. bubbles or droplets) accurately because they are helpful to estimate the phase holdup distribution, liquid phase velocity distribution, fluid particle residual time and mass transfer rate in the reactor. However, most of the correlations in the literature to estimate CD are piecewise, only valid in the low Reynolds number (Re) range and difficult to be extended to different experimental systems. In the view of these shortcomings, based on the experimental and theoretical results, this work proposed a new mathematical correlation model which can describe CD evolution observed by experiments in a wide Re range, and complied a program to solve the multi-dimensional unconstrained linear optimization problem to determine the model parameters. The new fluid particle CD correlation showed a good prediction ability and reasonably predicted the fluid particle CD value measured by different researchers under different experimental systems (e.g. air?water, air?glycerol, air?glycerol?water, n-butanol?water, n-octanol?water, toluene?water etc.) and different operating conditions (e.g. bubble: 0.1
Keywords:drag coefficient   rising velocity   mathematical model   droplet   bubble  
本文献已被 万方数据 等数据库收录!
点击此处可从《过程工程学报》浏览原始摘要信息
点击此处可从《过程工程学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号