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JOURNALS // Teplofizika vysokikh temperatur // Archive

TVT, 2023 Volume 61, Issue 2, Pages 265–278 (Mi tvt11609)

This article is cited in 5 papers

Heat and Mass Transfer and Physical Gasdynamics

Heat transfer enhancement and flow characteristics past trapezoidal bluff body embedded in unconfined cavity filled with nanofluid

B. Ghozlania, S. Hadj-Salahbc, S. Bezicd, B. Souayehde

a University of Tunis El Manar, National Engineers School of Tunis Modeling in Hydraulic and Environment Laboratory, Tunisia
b Research Unit of Ionized Backgrounds and Reagents Studies, University of Monastir, Tunisia
c University of Hafer al Batin, College of Science, Department of Physics, Hafer Al Batin, Saudi Arabia
d Laboratory of Fluid Mechanics, Physics Department, University of Tunis El Manar, Faculty of Sciences of Tunis, Tunisia
e King Faisal University, College of Science, Department of Physics, Saudi Arabia

Abstract: A numerical study has been carried out to investigate the forced convective flow around a trapezoidal cylinder exposed to a uniform stream of nanofluid. Water-based nanofluid containing various types of nanoparticles $(\rm Al_2\rm O_3{,}~\rm Cu{,}$ and $\rm CuO)$ with the solid volume fraction $\varphi$ varying from $0$ to $8\%$ were used to examine the fluid flow and potential heat transfer enhancement from the heated cylinder. Computations based on the finite volume method with SIMPLE algorithm have been carried out at the steady laminar flow regime with a Peclet number range of $25 \le \rm Pe \le 150$. Nanofluids flow and heat transfer characteristics are found to be highly dependent on solid volume fraction, Peclet number, and nanoparticles shapes. Enhanced wake lengths and surface vorticity, reduced drag and higher heat transfer rates are seen in nanofluids. Furthermore, the results reveal that one type of nanoparticle is a key factor for improving some engineering parameters. In particular, the height values of the average Nusselt number $\rm Nu_{av}$, the maximal surface vorticity $\omega_{s{,}~\text{max}}$, and the dimensionless wake length $L_r$ are obtained while using $\rm Cu$ nanoparticles. However, the values of the drag coefficient $C_D$ are higher for $\rm Al_2\rm O_3$ nanoparticles. Eventually, reliable correlations for $\omega_{s{,}~\text{max}}{,}~C_D{,}$ and $\rm Nu_{av}$ in terms of $\varphi$ and $\rm Pe$ have been developed throughout this study.

UDC: 536.24, 532.584

Received: 30.11.2020
Revised: 31.10.2021
Accepted: 15.02.2022

DOI: 10.31857/S0040364423020060


 English version:
High Temperature, 2023, 61:2, 242–255


© Steklov Math. Inst. of RAS, 2025