Journal
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
Volume 129, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.icheatmasstransfer.2021.105644
Keywords
Artificial neural network (ANN); Mixed convection; Lid-driven cavity; Double rectangular blocks; Maximum heat transfer
Categories
Funding
- General Direction of Research and Development Technologies/Ministry of Higher Education and Research Sciences DGRSDT/MERS (ALGERIA)
- Department of Chemical Engineering, Imperial College London
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The feasibility of using Artificial Neural Network (ANN) to predict thermal behavior due to mixed convection has been established, with new correlations derived for possible engineering design applications. Varying the distance between rectangular blocks has a significant influence on Nusselt number, and the Nusselt number is higher for vertical blocks compared to horizontal blocks. Increasing Reynolds and Grashof numbers magnitudes lead to increased Nusselt number, with specific maximum Nu numbers identified for different block orientations.
The practicability of using Artificial Neural Network (ANN) to predict the thermal behaviour due to mixed convection is established. Numerical simulations are conducted first for a laminar mixed convection problem in a lid-driven square cavity with two internal rectangular blocks, oriented vertically or horizontally. CFD results are used for training and testing the ANN to predict new cases; thus, saving effort and computation time and validate the obtained numerical results of Nusselt number. A wide range of Reynolds (100 <= Re <= 1500), Grashof numbers (1.5 x 10(4) <= Gr <= 10(5)), Richardson number (0.00667 <= Ri <= 10) and the distance between the two blocks (0.2 <= W/L <= 0.8) are considered. Results indicated that varying the distance W/L has an important influence on the Nusselt number. It was observed that increasing Re and Gr numbers magnitudes leads to an increased Nusselt number and that Nusselt number obtained for the case of vertical blocks is higher than the case of horizontal blocks. Furthermore, the maximum Nu number obtained for the vertical blocks was at W/L = 0.5 and Ri = 0.044 and for the horizontal blocks case was at W/L = 0.2 and Ri = 0.044. Finally, new correlations of Nu number versus Re, Gr and the spacing ratio between the two blocks W/L are derived for possible utilization in engineering design.
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