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Numerical Heat Transfer, Part A: Applications
An International Journal of Computation and Methodology
Volume 77, 2020 - Issue 4
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Original Articles

Mixed convection and heat flow characteristics in a lid-driven enclosure with porous fins: Full numerical modeling and parametric investigations

, , , & ORCID Icon
Pages 361-390 | Received 14 Jul 2019, Accepted 04 Nov 2019, Published online: 26 Nov 2019
 

Abstract

The effects of porous fins on mixed convection inside lid-driven square enclosures were reported in the present work. The porous medium with varying permeability, instead of the solid one, could widely change the baffling performance on the fluid flow, where this characteristic could be beneficial for controlling fluid flow and energy transport, typically electronic cooling process. The top lid could have the two-way movement. The working fluid in the cavity was governed by the N-S equations while that within porous medium was determined by the non-Darcy model called the Darcy-Forchheimer model based on representative element-averaging method. Relevant governing parameters, including Richardson number, Darcy number, quantities, length and distribution ratio of porous fins, are sensitively varied to identify their effects and roles on mixed convection heat transfer. Numerical results illustrate that the mechanism of main circulation development is modified by the additional fins. The adding porous fins with excellent permeability enhance heat transfer dramatically, while these fins with tiny Darcy number deteriorate heat transfer rate. The rate of heat transfer enhancement due to the increasing of the length and quantities of fins decreases. Furthermore, the distribution ratio shows the significant effects on the fluid flow and heat transfer. Present investigations could benefit the microelectronic cooling through the installation of porous-alike materials or modules.

Additional information

Funding

Present research has been financially supported by the National Key Research and Development Program of the Ministry of Science and Technology of China (Grant No. 2018YFC0705201, Grant No. 2018YFB0904200), National Natural Science Foundation of China (Grant No. 51778504, Grant No. U1867221), Beijing Institute of Satellite Environmental Engineering (CAST-BISEE Grant No. CAST-BISEE2019-025), Joint Zhuzhou-Hunan Provincial Natural Science Foundation (Grant No. 2018JJ4064), National Defense Research Funds for the Central Universities (Grant No. 2042018gf0031, Wuhan University), Teaching Research Program (Grant No. 2019JG030, Wuhan University), and Shandong Provincial Natural Science Foundation (Grant No. ZR2018MEE035).

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