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具有熵产生的封闭腔内卡森流体对流与热辐射的数值模拟

Numerical Simulation on Convection and Thermal Radiation of Casson Fluid in an Enclosure with Entropy Generation.

作者信息

Alzahrani A K, Sivasankaran S, Bhuvaneswari M

机构信息

Department of Mathematics, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

Department of Mathematics, Kongunadu Polytechnic College, D.Gudalur, Dindigul, Tamilnadu 624620, India.

出版信息

Entropy (Basel). 2020 Feb 18;22(2):229. doi: 10.3390/e22020229.

DOI:10.3390/e22020229
PMID:33286003
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7516660/
Abstract

The goal of the current numerical simulation is to explore the impact of aspect ratio, thermal radiation, and entropy generation on buoyant induced convection in a rectangular box filled with Casson fluid. The vertical boundaries of the box are maintained with different constant thermal distribution. Thermal insulation is executed on horizontal boundaries. The solution is obtained by a finite volume-based iterative method. The results are explored over a range of radiation parameter, Casson fluid parameter, aspect ratio, and Grashof number. The impact of entropy generation is also examined in detail. Thermal stratification occurs for greater values of Casson liquid parameters in the presence of radiation. The kinetic energy grows on rising the values of Casson liquid and radiation parameters. The thermal energy transport declines on growing the values of radiation parameter and it enhances on rising the Casson fluid parameter.

摘要

当前数值模拟的目标是探究纵横比、热辐射和熵产生对充满卡森流体的矩形盒内浮力诱导对流的影响。盒子的垂直边界保持不同的恒定热分布。水平边界进行隔热处理。通过基于有限体积的迭代方法获得解。在一系列辐射参数、卡森流体参数、纵横比和格拉晓夫数范围内对结果进行探究。还详细研究了熵产生的影响。在有辐射的情况下,卡森液体参数值较大时会出现热分层。动能随着卡森液体和辐射参数值的增加而增加。热能传输随着辐射参数值的增加而下降,随着卡森流体参数值的增加而增强。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/b5a2e52ff9d2/entropy-22-00229-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/5f466890b595/entropy-22-00229-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/e0ea88c2c308/entropy-22-00229-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/49b791a8388d/entropy-22-00229-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/b5a2e52ff9d2/entropy-22-00229-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/33a37dde89a8/entropy-22-00229-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/d3a4672797e9/entropy-22-00229-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/2d45b5bd4b80/entropy-22-00229-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/18c9d28ecfdf/entropy-22-00229-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/0fe8159704ff/entropy-22-00229-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/dfafb7f9812d/entropy-22-00229-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/2ccd0ae78afe/entropy-22-00229-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/5f466890b595/entropy-22-00229-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/e0ea88c2c308/entropy-22-00229-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/49b791a8388d/entropy-22-00229-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/15b08ec31380/entropy-22-00229-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/3e33ed60389d/entropy-22-00229-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daa5/7516660/b5a2e52ff9d2/entropy-22-00229-g013.jpg

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J Adv Res. 2022 Jul;39:167-185. doi: 10.1016/j.jare.2021.10.006. Epub 2021 Oct 23.

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