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Numerical Heat Transfer, Part A: Applications
An International Journal of Computation and Methodology
Volume 84, 2023 - Issue 6
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Research Articles

Experimental and numerical study of inverse natural convection-conduction heat transfer in a cavity with a fin

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Pages 641-658 | Received 23 Aug 2022, Accepted 23 Nov 2022, Published online: 04 Jan 2023
 

Abstract

The computational fluid dynamics (CFD) method along with the least squares method and overdetermined experimental data is used to investigate inverse 3D turbulent natural convection-conduction heat transfer in a cavity with a horizontal conduction fin on the vertical hot wall. The main purpose of this study is to predict the unknown heat transfer rate Qh, the heat transfer coefficient on the solid wall, and fluid flow and heat transfer characteristics. To verify the accuracy of an appropriate flow model selected, the root mean square error between the CFD results for temperature obtained from it and all experimental data needs to be the smallest among the selected flow models. The Nusselt numbers obtained also need to be closer to existing correlations or results than those obtained by other flow models. The validation tests through various flow models show that the appropriate flow model for dimensionless distance Sp = Hfp/Lw = 7/24 is the standard k-ε model with dimensionless fin length Lp = L/Lw = 1/4 and Ra = 4.59 × 106 and the zero-equation model with Lp = 2/3 and Ra = 2.33 × 106, respectively. This means that an appropriate flow model may be related to L and Ra. Compared to the isothermal wall assumption, the present results are more accurate, and less experimental temperature data are required.

Additional information

Funding

The authors would like to thank Professor John Abraham at the University of St. Thomas for providing our valuable papers. Professor Jung-Chang Wang at National Taiwan Ocean University is very grateful for the support of ANSYS Fluent. We are also grateful for the financial support from the Ministry of Science and Technology of the Republic of China in Taiwan (Grant No. MOST 108-2221-E-006-079).

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