4.7 Article

Hydrodynamics and residence time distribution of liquid flow in tubular reactors equipped with screen-type static mixers

期刊

CHEMICAL ENGINEERING JOURNAL
卷 279, 期 -, 页码 948-963

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2015.05.100

关键词

Static mixers; Residence time distribution; Axial dispersion; Hydrodynamics; Macromixing; Deconvolution

资金

  1. Lebanese National Council for Scientific Research (LNCSR)
  2. American University of Beirut, Lebanon, through its University Research Board

向作者/读者索取更多资源

This paper discusses the characteristics of liquid flow through tubular reactors/contactors equipped with woven mesh, screen-type static mixers from hydrodynamic and macromixing perspectives. The effect of changing the screen geometry, number of mixing elements, reactor configuration, and the operating conditions, were investigated by using four different screen types of varying mesh numbers. Pressure drop was measured over a wide range of flow rates (2300 <= Re <= 21,500) and was found to increase with a decreasing mesh opening. Friction factor values are also reported in the work, when compared to other types of motionless mixers, screen-type mixers were found to require much lower energy requirements with very low recorded Z values (1.15 <= Z <= 5) that are two to three orders of magnitude lower than those reported for other motionless mixers. Furthermore, residence time distribution experiments were conducted in the transitional and turbulent regimes (2300 <= Re <= 11,500). Using a deconvolution technique the RTD function was extracted in order to quantify the axial/longitudinal dispersion. The findings highlight that regardless of the number and geometry of the mixer, reactor configuration, and/or operating conditions, axial dispersion coefficients that are lower than those of an empty pipe were always recorded. The wire diameter and mesh opening were found to directly affect the axial dispersion in the reactor, while, the number of elements showed a minor effect. Furthermore, the choice of the characteristic parameter used to calculate the Reynolds number was found to be of paramount importance in analyzing the data. (C) 2015 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据