Conjugate natural convection heat transfer in a partitioned differentially-heated square cavity

Khatamifar, Mehdi, Lin, Wenxian, Armfield, S.W., Holmes, David, and Kirkpatrick, M.P. (2017) Conjugate natural convection heat transfer in a partitioned differentially-heated square cavity. International Communications in Heat and Mass Transfer, 81. pp. 92-103.

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In this study numerical results for conjugate natural convection flow and heat transfer in a differentially-heated square cavity divided by a partition with finite thickness and thermal conductivity are presented. A series of numerical simulation is carried out using the finite volume method over a wide range of the Rayleigh number (105–109), with three dimensionless partition thicknesses (0.05, 0.1 and 0.2) and three dimensionless partition positions (0.25, 0.5 and 0.75), both are non-dimensionalized by the cavity width. The results show that the average Nusselt number increases with the Rayleigh number but decreases with partition thickness. It is also found that the partition position has a negligible effect on the average Nusselt number for the whole range of Rayleigh number considered.

Item ID: 46946
Item Type: Article (Research - C1)
ISSN: 1879-0178
Keywords: conjugate natural convection, differentially-heated cavity, Heat transfer, partition, numerical simulation
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This publication is associated with the following PhD thesis: Khatamifar, Mehdi (2018) Conjugate natural convection boundary layers. PhD thesis, James Cook University, which is available Open Access in ResearchOnline@JCU. Please see the Related URLs for access.

Funders: Australian Research Council (ARC), National Natural Science Foundation of China (NNSFC), James Cook University (JCU)
Projects and Grants: ARC DP130100900, NNSFC 51469035, NNSFC 51266016, JCU PRS Scholarship
Date Deposited: 26 Jan 2017 23:16
FoR Codes: 09 ENGINEERING > 0915 Interdisciplinary Engineering > 091505 Heat and Mass Transfer Operations @ 50%
09 ENGINEERING > 0915 Interdisciplinary Engineering > 091504 Fluidisation and Fluid Mechanics @ 30%
09 ENGINEERING > 0915 Interdisciplinary Engineering > 091501 Computational Fluid Dynamics @ 20%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970109 Expanding Knowledge in Engineering @ 100%
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