Numerical mesoscopic method for transportation of H2O-based nanofluid through a porous channel considering Lorentz forces-Reference-Cited by-同舟云学术

Numerical mesoscopic method for transportation of H2O-based nanofluid through a porous channel considering Lorentz forces

Published:2019-02 Issue:02n03 Volume:30 Page:1950007
ISSN:0129-1831
Container-title:International Journal of Modern Physics C
language:en
Short-container-title:Int. J. Mod. Phys. C

Author:

Sheikholeslami M.¹²,Gerdroodbary M. Barzegar¹,Moradi Rasoul³,Shafee Ahmad⁴⁵,Li Zhixiong⁶⁷

Affiliation:

1. Department of Mechanical Engineering, Babol Noshirvani University of Technology, Babol, Iran

2. Renewable Energy Systems and Nanofluid Applications in Heat Transfer Laboratory, Babol Noshirvani University of Technology, Babol, Iran

3. Department of Chemical Engineering, School of Engineering and Applied Science, Khazar University, Baku, Azerbaijan

4. FAST, University Tun Hussein Onn Malaysia 86400, Parit Raja, Batu Pahat Johor State, Malaysia

5. Public Authority of Applied Education and Training, College of Technological Studies, Applied Science Department, Shuwaikh, Kuwait

6. School of Engineering, Ocean University of China, Qingdao 266110, P. R. China

7. School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW 2522, Australia

Abstract

Recently, various ways are investigated to augment heat transfer in different applications such as porous ceramic domain. Adding nanoparticles to fluid is the best operational way to increase the conduction of fluids. In this paper, migration of nanofluid inside a porous duct under the impact of magnetic force is scrutinized. LBM is applied to present comprehensive parametric analysis for various concentrations of nanofluid, Hartmann, Reynolds, and Darcy numbers. Outputs illustrate that Nu augments with improve of Lorentz forces. Augmenting Da significantly enhances the convective flow in our model.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0129183119500074

Reference69 articles.

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