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超重力旋转填充床氧解吸过程的数值模拟
引用本文:向阳,刘良,初广文,邹海魁,陈建峰.超重力旋转填充床氧解吸过程的数值模拟[J].化工学报,2014,65(7):2785-2792.
作者姓名:向阳  刘良  初广文  邹海魁  陈建峰
作者单位:1. 北京化工大学教育部超重力工程研究中心, 北京 100029; 2. 北京化工大学有机无机复合材料国家重点实验室, 北京 100029
基金项目:国家自然科学基金项目(21206003);国家高技术研究发展计划项目(2012AA063104)。
摘    要:基于旋转填充床流体流动的可视化结果,建立了超重力旋转填充床气液传质过程的数学模型,模拟氮气解吸水中溶解氧的传质过程。模拟结果表明,缩短液相停留时间、提高液相扩散系数都能增大液相传质分系数kL;总体积传质系数KLa随超重力因子的增加而增大、随温度的上升而增大、随气相流率的增加略有下降、随液相流率的增加明显增大;空腔区传质贡献率随空腔区的增大而增大,随超重力因子的增大而减小;且短暂的停留时间是超重力旋转填充床对传质过程强化的本质原因。模型较好地符合文献的实验数据,误差在±16%以内。

关 键 词:旋转填充床  模型  数值模拟  传质系数  氧解吸  
收稿时间:2014-03-31
修稿时间:2014-04-04

Numerical simulation for water deoxygenation in rotating packed bed
XIANG Yang,LIU Liang,CHU Guangwen,ZOU Haikui,CHEN Jianfeng.Numerical simulation for water deoxygenation in rotating packed bed[J].Journal of Chemical Industry and Engineering(China),2014,65(7):2785-2792.
Authors:XIANG Yang  LIU Liang  CHU Guangwen  ZOU Haikui  CHEN Jianfeng
Affiliation:1. Research Center of the Ministry of Education for High Gravity Engineering and Technology, Beijing University of Chemical Technology, Beijing 100029, China; 2. State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing 100029, China
Abstract:A mathematical model for gas-liquid interphase mass transfer was established based on the visual study of fluid flow in a rotating packed bed (RPB). The effects of model parameters on liquid mass transfer coefficient kL, as well as the effect of operation parameters on overall volumetric mass transfer coefficient KLa in gas-liquid mass transfer process of water deoxygenation by a nitrogen stream were studied via numerical simulations with the mathematical model. Simulation results indicated that kL increased with decreasing liquid residence time and increasing liquid molecular diffusivity. KLa increased with increasing higee (high gravity) factor, temperature and liquid flow rate but influenced hardly by pressure, and decreased slightly with increasing gas flow rate. Additionally, the mass transfer contribution of cavity zone diminished with increasing higee factor, as well as decreasing cavity zone volume. According to numerical simulation results, the nature of process intensification for gas-liquid mass transfer process in RPB lay in transient liquid residence time. Deoxygenation efficiency E calculated from this model agreed well with experimental E extracted from literatures with deviations within ±16%, which verified the mass transfer model.
Keywords:rotating packed bed  model  numerical simulation  mass transfer coefficient  water deoxygenation  
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