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波浪形和直线形针翅的热工水力性能

Thermo-Hydraulic Performance of Pin-Fins in Wavy and Straight Configurations.

作者信息

Saghir Mohamad Ziad, Rahman Mohammad Mansur

机构信息

Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, Toronto, ON M5B2K3, Canada.

Department of Mathematics, College of Science, Sultan Qaboos University, Al-Khod PC 123, Muscat, Oman.

出版信息

Micromachines (Basel). 2022 Jun 16;13(6):954. doi: 10.3390/mi13060954.

DOI:10.3390/mi13060954
PMID:35744569
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9228853/
Abstract

Pin-fins configurations have been investigated recently for different engineering applications and, in particular, for a cooling turbine. In the present study, we investigated the performance of three different pin-fins configurations: pin-fins forming a wavy mini-channel, pin-fins forming a straight mini-channel, and a mini-channel without pin-fins considering water as the working fluid. The full Navier-Stokes equations and the energy equation are solved numerically using the finite element technique. Different flow rates are studied, represented by the Reynolds number in the laminar flow regime. The thermo-hydraulic performance of the three configurations is determined by examining the Nusselt number, the pressure drop, and the performance evaluation criterion. Results revealed that pin-fins forming a wavy mini-channel exhibited the highest Nusselt number, the lowest pressure drop, and the highest performance evaluation criterion. This finding is valid for any Reynolds number under investigation.

摘要

近年来,针对不同的工程应用,特别是冷却涡轮机,人们对针翅结构进行了研究。在本研究中,我们研究了三种不同的针翅结构的性能:形成波浪形微通道的针翅、形成直微通道的针翅以及不带有针翅的微通道,其中以水作为工作流体。使用有限元技术对完整的纳维-斯托克斯方程和能量方程进行了数值求解。研究了不同的流速,用层流状态下的雷诺数来表示。通过考察努塞尔数、压降和性能评价准则来确定这三种结构的热工水力性能。结果表明,形成波浪形微通道的针翅具有最高的努塞尔数、最低的压降和最高的性能评价准则。这一发现对于所研究的任何雷诺数都是有效的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/7f1d0da70812/micromachines-13-00954-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/81f2c7ece9db/micromachines-13-00954-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/6fe9457d79a6/micromachines-13-00954-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/d2fe7c01c982/micromachines-13-00954-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/f0cf78fb08cf/micromachines-13-00954-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/2e3c0327dc56/micromachines-13-00954-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/e336e71bc097/micromachines-13-00954-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/4a6e7c89ef56/micromachines-13-00954-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/7f1d0da70812/micromachines-13-00954-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/81f2c7ece9db/micromachines-13-00954-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/6fe9457d79a6/micromachines-13-00954-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/d2fe7c01c982/micromachines-13-00954-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/f0cf78fb08cf/micromachines-13-00954-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/2e3c0327dc56/micromachines-13-00954-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/e336e71bc097/micromachines-13-00954-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/4a6e7c89ef56/micromachines-13-00954-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9739/9228853/7f1d0da70812/micromachines-13-00954-g008.jpg

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