Double-Population Link-Wise Artificial Compressibility Method for Simulating Two-Dimensional Magnetoconvection

Author:

Hamdi Mohamed1ORCID,Elalimi Souheil2,Ben Nasrallah Sassi2

Affiliation:

1. Laboratory of Wind Power Control and Waste Energy Recovery, Research and Technology Center of Energy, Borj-Cedria, Box 95, Hammam-Lif 2050, Tunisia

2. Energy and Thermal Systems Laboratory, National Engineering School of Monastir, Street Ibn El Jazzar, Monastir 5019, Tunisia

Abstract

The recently developed Link-Wise Artificial Compressibility Method (LW-ACM) with double population is presented, validated, and then applied to magnetoconvective flow. The validation step evolves in two stages. First of all, we used the problem of mixed convection over a vertical duct preceded by a sudden expansion in order to validate the multiple relaxation times (MRT) code. Then, we explore the accuracy and the performance of the LW-ACM versus the MRT model and the classic Bhatnagar-Gross-Krook (BGK) model by using a differentially heated cavity problem for Prandtl number Pr=0.71. The numerical results for values of Nusselt numbers and process time clearly showed the accuracy and the efficiency of LW-ACM. The adequate accuracy of the proposed model encouraged us to apply it to a magnetoconvection problem. Dynamic and thermal fields are presented and analyzed at Pr=0.054 and Rayleigh number Ra=5×104 for Hartmann number Ha up to 60. Results revealed that the effects of magnetic fields on dynamic and thermal fields are important and that the heat transfer in the cavity is a decreasing function of magnetic field strength.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3