Special lssues

Advances in Computational Thermo-Fluids and Nanofluids

Submission Deadline: 07 December 2024 Submit to Special Issue

Guest Editors

Fateh Mebarek-Oudina, Full Professor, Skikda University (20 Août 1955-Skikda), Algeria
Fateh Mebarek-Oudina received his PhD in 2010. He has published more than 120 papers in reputed international journals. Currently, he works as a full professor at Skikda University in Algeria and regularly serves as a reviewer for more than 250 international journals. He is ranked in the Top 2% Scientists Worldwide (2020, 2021, 2022, 2023) by Stanford University. His research work is focused on heat and mass transfer, MHD, mathematical simulation and modelling, biofluids, nanofluids, hybrid nanofluids, ternary nanofluids, microfluidics, and computational fluid dynamics.

Ioannis E. Sarris, Professor, University of West Attica, Greece
Ioannis E. Sarris is a Professor of Fluid Mechanics and Magnetohydrodynamics at the Dept. of Mechanical Engineering at the University of West Attica, Athens, Greece. He holds a diploma in mechanical engineering (1995) from the Dept. of Mechanical Engineering, School of Engineering, University of Patras (Greece) and a PhD in Engineering (2001) from the Dept. of Mechanical (and Industrial) Engineering, School of Engineering, University of Thessaly (Greece). He received a Marie-Curie postdoctoral fellowship at Universite Libre de Bruxelles, Belgium. He was selected for the postdoctoral fellowship of the Greek Fellowships Foundation; he received the postdoctoral fellowship PYTHAGORAS from the Greek Minister of Education and Religion and the fellowship of the Research Committee of UTh during his doctoral studies. He was a researcher working for the "National Program of Controlled Thermonuclear Fusion" (Euratom), a visiting researcher at ULB and a National Representative at COST action MP0806 of the European Union. His research interests include the scientific areas of fluid mechanics and transport phenomena, magnetohydrodynamics of liquid metals and plasmas, fuel cells, natural convection, turbulent flow simulation using DNS and LES techniques and the study of industrial and environmental flows.


This special issue presents a very useful and readable collection of articles on Thermal-Fluids and nanofluids, offering new outcomes that are sure to be of interest to students, engineers, and researchers in the field of engineering. In particular, this special issue deals with the CFD simulations of various aspects of Fluid Flow, Hydraulics and Convective Heat Transfer, including Magnetohydrodynamics, Turbomachinery, Bioengineering, Thermal Analysis, Turbulence, Multiphase Flow, Industrial and Environmental Applications, Fluid-Structure Interaction and nanofluids.


Topics of interest include, but are not limited to:

• Computational fluid dynamics

• Heat and mass transfer

• Magnetohydrodynamics

• Convection heat transfer

• Nanofluid dynamics

• Thermodynamics

• Heat exchangers

• Simulation and modeling of heat transfer enhancement.


Heat and mass transfer, magnetohydrodynamics, nanofluids, nanoparticles, bioconvection, biofluid dynamics, electroosmosis, computational fluid dynamics

Published Papers

  • Open Access


    A Novel Numerical Method for Simulating Boiling Heat Transfer of Nanofluids

    Yang Cao, Xuhui Meng
    Frontiers in Heat and Mass Transfer, DOI:10.32604/fhmt.2024.049111
    (This article belongs to this Special Issue: Advances in Computational Thermo-Fluids and Nanofluids)
    Abstract In this paper, a new approach called the Eulerian species method was proposed for simulating the convective and/or boiling heat transfer of nanofluids. The movement of nanoparticles in nanofluids is tracked by the species transport equation, and the boiling process of nanofluids is computed by the Eulerian multiphase method coupled with the RPI boiling model. The validity of the species transport equation for simulating nanoparticles movement was verified by conducting a simulation of nanofluids convective heat transfer. Simulation results of boiling heat transfer of nanofluids were obtained by using the commercial CFD software ANSYS Fluent and compared with experimental data… More >

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