The Effects of Hot Blocks Geometry and Particle Migration on Heat Transfer and Entropy Generation of a Novel I-Shaped Porous Enclosure
This paper studied the cooling performance of a hot electronic chip using nanofluids (NF) mixed convection, implementing Buongiorno’s model of the NF simulation. The NF were assumed water-Al<sub>2</sub>O<sub>3</sub> nanoparticles (NP) in the range of 0 to 4% of volume concent...
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doaj-0801ac2b033c40e6a81e1b7d5f8371d52021-07-15T15:46:56ZengMDPI AGSustainability2071-10502021-06-01137190719010.3390/su13137190The Effects of Hot Blocks Geometry and Particle Migration on Heat Transfer and Entropy Generation of a Novel I-Shaped Porous EnclosureRamin Ghasemiasl0Maysam Molana1Taher Armaghani2Mohsen Saffari Pour3Department of Mechanical Engineering, West Tehran Branch, Islamic Azad University, Tehran 14687-63785, IranDepartment of Mechanical Engineering, Wayne State University, Detroit, MI 48202, USADepartment of Mechanical Engineering, Mahdishahr Branch, Islamic Azad University, Mahdishahr 35618-75915, IranDepartment of Mechanical Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman 76169-13439, IranThis paper studied the cooling performance of a hot electronic chip using nanofluids (NF) mixed convection, implementing Buongiorno’s model of the NF simulation. The NF were assumed water-Al<sub>2</sub>O<sub>3</sub> nanoparticles (NP) in the range of 0 to 4% of volume concentration. Six different problems of the combinations of three internal hot blocks, including triangular, square, and circular geometries, and two porous media, including sand and compact metallic powder, were numerically solved. To discretize the governing equations, a finite control volume method was applied. As most of the proposed correlations for the thermophysical properties of the NF were inaccurate, especially for thermal conductivity, a new predictive correlation was proposed using the multi-variable regression method with acceptable accuracy. It was found that the cooling performance improved with any increase in the NP loading. A higher nanoparticle concentration yielded better cooling characteristics, which was 11.93% for 4% volume. The sand porous medium also yielded a much higher value of the normalized Nusselt number (Nu) compared to the other medium. The entropy generation (EG) enhancement was maximum for the triangular hot block in a sand porous cavity.https://www.mdpi.com/2071-1050/13/13/7190CFVMmixed convectionelectronic coolingcorrelationthermal conductivity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ramin Ghasemiasl Maysam Molana Taher Armaghani Mohsen Saffari Pour |
spellingShingle |
Ramin Ghasemiasl Maysam Molana Taher Armaghani Mohsen Saffari Pour The Effects of Hot Blocks Geometry and Particle Migration on Heat Transfer and Entropy Generation of a Novel I-Shaped Porous Enclosure Sustainability CFVM mixed convection electronic cooling correlation thermal conductivity |
author_facet |
Ramin Ghasemiasl Maysam Molana Taher Armaghani Mohsen Saffari Pour |
author_sort |
Ramin Ghasemiasl |
title |
The Effects of Hot Blocks Geometry and Particle Migration on Heat Transfer and Entropy Generation of a Novel I-Shaped Porous Enclosure |
title_short |
The Effects of Hot Blocks Geometry and Particle Migration on Heat Transfer and Entropy Generation of a Novel I-Shaped Porous Enclosure |
title_full |
The Effects of Hot Blocks Geometry and Particle Migration on Heat Transfer and Entropy Generation of a Novel I-Shaped Porous Enclosure |
title_fullStr |
The Effects of Hot Blocks Geometry and Particle Migration on Heat Transfer and Entropy Generation of a Novel I-Shaped Porous Enclosure |
title_full_unstemmed |
The Effects of Hot Blocks Geometry and Particle Migration on Heat Transfer and Entropy Generation of a Novel I-Shaped Porous Enclosure |
title_sort |
effects of hot blocks geometry and particle migration on heat transfer and entropy generation of a novel i-shaped porous enclosure |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2021-06-01 |
description |
This paper studied the cooling performance of a hot electronic chip using nanofluids (NF) mixed convection, implementing Buongiorno’s model of the NF simulation. The NF were assumed water-Al<sub>2</sub>O<sub>3</sub> nanoparticles (NP) in the range of 0 to 4% of volume concentration. Six different problems of the combinations of three internal hot blocks, including triangular, square, and circular geometries, and two porous media, including sand and compact metallic powder, were numerically solved. To discretize the governing equations, a finite control volume method was applied. As most of the proposed correlations for the thermophysical properties of the NF were inaccurate, especially for thermal conductivity, a new predictive correlation was proposed using the multi-variable regression method with acceptable accuracy. It was found that the cooling performance improved with any increase in the NP loading. A higher nanoparticle concentration yielded better cooling characteristics, which was 11.93% for 4% volume. The sand porous medium also yielded a much higher value of the normalized Nusselt number (Nu) compared to the other medium. The entropy generation (EG) enhancement was maximum for the triangular hot block in a sand porous cavity. |
topic |
CFVM mixed convection electronic cooling correlation thermal conductivity |
url |
https://www.mdpi.com/2071-1050/13/13/7190 |
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