王树刚

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:上海交通大学

学位:博士

所在单位:土木工程系

学科:供热、供燃气、通风及空调工程. 制冷及低温工程

办公地点:综合实验4号楼

联系方式:0411-84706407

电子邮箱:sgwang@dlut.edu.cn

扫描关注

论文成果

当前位置: 教师个人主页 >> 科学研究 >> 论文成果

Heterogeneous ice slurry flow and concentration distribution in horizontal pipes

点击次数:

论文类型:期刊论文

发表时间:2013-12-01

发表刊物:INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW

收录刊物:SCIE、EI、Scopus

卷号:44

页面范围:425-434

ISSN号:0142-727X

关键字:Ice slurry; Heterogeneous flow; Horizontal pipe; Mixture model; CFD

摘要:Ice slurry is an energy-intensive solid-liquid mixture fluid which may play an important role in various cooling purposes. Knowing detailed flow information is important from the system design point of view. However, the heterogeneous ice slurry flow makes it difficult to be quantified due to the complex two phase flow characteristic. The present study applies a Mixture computational fluid dynamics (CFD) model based on different rheological behavior to characterize the heterogeneous ice slurry flow. The Mixture CFD model was firstly validated by three different experiments. Then the validated Mixture CFD model was applied to solve the ice slurry isothermal flow by considering the rheological behavior piecewise. Finally, the numerical solutions have displayed the coupled flow information, such as slurry velocity, ice particle concentration and pressure drop distribution. The results show that, the ice slurry flow distribution will appear varying degree of asymmetry under different operating conditions. The rheological behavior will be affected by the asymmetric flow distributions. When mean flow velocity is high, Thomas equation can be appropriate for describing ice slurry viscosity. While with the decreasing of mean flow velocity, the ice slurry behaves Bingham rheology. As compared with experimental pressure drop results, the relative errors of numerical computation are almost within +/- 15%. The Mixture CFD model is validated to be an effective model for describing heterogeneous ice slurry flow and could supply plentiful flow information. (C) 2013 Elsevier Inc. All rights reserved.