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带有导热固体翅片的腔室内纳米悬浮液热对流的熵分析

Entropy Analysis of the Thermal Convection of Nanosuspension within a Chamber with a Heat-Conducting Solid Fin.

作者信息

Le Xuan Hoang Khoa, Oztop Hakan F, Selimefendigil Fatih, Sheremet Mikhail A

机构信息

Butakov Research Center, National Research Tomsk Polytechnic University, Tomsk 634050, Russia.

Department of Mechanical Engineering, Technology Faculty, Fırat University, Elazig 23119, Turkey.

出版信息

Entropy (Basel). 2022 Apr 7;24(4):523. doi: 10.3390/e24040523.

DOI:10.3390/e24040523
PMID:35455186
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9030578/
Abstract

Heat transport augmentation in closed chambers can be achieved using nanofluids and extended heat transfer surfaces. This research is devoted to the computational analysis of natural convection energy transport and entropy emission within a closed region, with isothermal vertical borders and a heat-conducting solid fin placed on the hot border. Horizontal walls were assumed to be adiabatic. Control relations written using non-primitive variables with experimentally based correlations for nanofluid properties were computed by the finite difference technique. The impacts of the fin size, fin position, and nanoadditive concentration on energy transfer performance and entropy production were studied. It was found that location of the long fin near the bottom wall allowed for the intensification of convective heat transfer within the chamber. Moreover, this position was characterized by high entropy generation. Therefore, the minimization of the entropy generation can define the optimal location of the heat-conducting fin using the obtained results. An addition of nanoparticles reduced the heat transfer strength and minimized the entropy generation.

摘要

在封闭腔室中,可以使用纳米流体和扩展传热表面来增强热传递。本研究致力于对封闭区域内的自然对流能量传输和熵排放进行计算分析,该区域具有等温垂直边界,并且在热边界上放置了一个导热固体翅片。假设水平壁是绝热的。使用基于实验关联式的纳米流体特性非原始变量编写的控制关系式,通过有限差分技术进行计算。研究了翅片尺寸、翅片位置和纳米添加剂浓度对能量传递性能和熵产生的影响。结果发现,长翅片靠近底壁的位置能够增强腔室内的对流热传递。此外,该位置的熵产生较高。因此,利用所得结果,熵产生的最小化可以确定导热翅片的最佳位置。添加纳米颗粒降低了传热强度并使熵产生最小化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/93a4fec64a7b/entropy-24-00523-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/a314fab390d6/entropy-24-00523-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/a19885e4813b/entropy-24-00523-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/c9411c7720a7/entropy-24-00523-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/7faf8f4155ce/entropy-24-00523-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/a677f6fd1cc6/entropy-24-00523-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/92e6995b9f10/entropy-24-00523-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/1bfc883a3f3f/entropy-24-00523-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/93a4fec64a7b/entropy-24-00523-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/a314fab390d6/entropy-24-00523-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/a19885e4813b/entropy-24-00523-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/c9411c7720a7/entropy-24-00523-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/7faf8f4155ce/entropy-24-00523-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/a677f6fd1cc6/entropy-24-00523-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/92e6995b9f10/entropy-24-00523-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/1bfc883a3f3f/entropy-24-00523-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a90/9030578/93a4fec64a7b/entropy-24-00523-g008.jpg

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