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用于电动机应用的纳米流体冷却系统的传热性能研究

On Heat Transfer Performance of Cooling Systems Using Nanofluid for Electric Motor Applications.

作者信息

Deriszadeh Ali, de Monte Filippo

机构信息

Department of Industrial and Information Engineering and Economics, University of L'Aquila, 67100 L'Aquila, Italy.

出版信息

Entropy (Basel). 2020 Jan 14;22(1):99. doi: 10.3390/e22010099.

DOI:10.3390/e22010099
PMID:33285875
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7516535/
Abstract

This paper studies the fluid flow and heat transfer characteristics of nanofluids as advance coolants for the cooling system of electric motors. Investigations are carried out using numerical analysis for a cooling system with spiral channels. To solve the governing equations, computational fluid dynamics and 3D fluid motion analysis are used. The base fluid is water with a laminar flow. The fluid Reynolds number and turn-number of spiral channels are evaluation parameters. The effect of nanoparticles volume fraction in the base fluid on the heat transfer performance of the cooling system is studied. Increasing the volume fraction of nanoparticles leads to improving the heat transfer performance of the cooling system. On the other hand, a high-volume fraction of the nanofluid increases the pressure drop of the coolant fluid and increases the required pumping power. This paper aims at finding a trade-off between effective parameters by studying both fluid flow and heat transfer characteristics of the nanofluid.

摘要

本文研究了纳米流体作为电动机冷却系统先进冷却剂的流体流动和传热特性。采用数值分析方法对具有螺旋通道的冷却系统进行了研究。为求解控制方程,使用了计算流体动力学和三维流体运动分析。基础流体为层流状态的水。流体雷诺数和螺旋通道的匝数为评估参数。研究了基础流体中纳米颗粒体积分数对冷却系统传热性能的影响。增加纳米颗粒的体积分数可提高冷却系统的传热性能。另一方面,高体积分数的纳米流体增加了冷却液的压降,并增加了所需的泵送功率。本文旨在通过研究纳米流体的流体流动和传热特性,在有效参数之间找到一种权衡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/a3d48ebbf3bb/entropy-22-00099-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/31b7d6d4c911/entropy-22-00099-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/a647e469e35c/entropy-22-00099-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/3c469c1e8370/entropy-22-00099-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/73c044d2d5c1/entropy-22-00099-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/ab0469b0d184/entropy-22-00099-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/71da7e0f6a58/entropy-22-00099-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/a3d48ebbf3bb/entropy-22-00099-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/06559d0b0445/entropy-22-00099-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/60f9ee1882b0/entropy-22-00099-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/e3b6399a3ac5/entropy-22-00099-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/b31b6a9af4ff/entropy-22-00099-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/094e605b2a05/entropy-22-00099-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/b8e061303cc5/entropy-22-00099-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/31b7d6d4c911/entropy-22-00099-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/a647e469e35c/entropy-22-00099-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/3c469c1e8370/entropy-22-00099-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/73c044d2d5c1/entropy-22-00099-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/ab0469b0d184/entropy-22-00099-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/71da7e0f6a58/entropy-22-00099-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f491/7516535/a3d48ebbf3bb/entropy-22-00099-g013.jpg

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