Special Issues

Advances in Computational Thermo-Fluids and Nanofluids

Submission Deadline: 15 June 2025 View: 2597 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.


Summary

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.


Keywords

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

Published Papers


  • Open Access

    ARTICLE

    Numerical Study of the Free Convection of a Hybrid Nano-Fluid Filling a Three-Dimensional Cavity Exposed to a Horizontal Magnetic Field

    Mouna Benshab, Said Bouchta, M’barek Feddaoui, Abdellatif Dayf, Jaouad Bouchta, Abderrahman Nait Alla
    Frontiers in Heat and Mass Transfer, Vol.22, No.6, pp. 1865-1885, 2024, DOI:10.32604/fhmt.2024.056551
    (This article belongs to the Special Issue: Advances in Computational Thermo-Fluids and Nanofluids)
    Abstract This paper presents a numerical study on natural convection and heat transfer using a hybrid nanofluid within a three-dimensional cavity under the influence of a magnetic field. The primary objective of this research is to analyze how various magnetic field conditions affect the thermal performance of the hybrid nanofluid, particularly in terms of heat transfer and fluid motion. Specific objectives include evaluating the effects of the Rayleigh number, nanoparticle volume fraction, and Hartmann number on the dynamic and thermal fields, as well as the overall heat transfer efficiency. The transport equations were discretized using the… More >

  • Open Access

    ARTICLE

    Melting Flow Analyzation of Radiative Riga Plate Two-Phase Nano-Fluid Across Non-Flatness Plane with Chemical Reaction

    Jupudi Lakshmi Rama Prasad, F. Mebarek-Oudina, G. Dharmaiah, Putta Babu Rao, H. Vaidya
    Frontiers in Heat and Mass Transfer, Vol.22, No.5, pp. 1515-1532, 2024, DOI:10.32604/fhmt.2024.057854
    (This article belongs to the Special Issue: Advances in Computational Thermo-Fluids and Nanofluids)
    Abstract There is a strong relationship between analytical and numerical heat transfers due to thermodynamically anticipated findings, making thermo-dynamical modeling an effective tool for estimating the ideal melting point of heat transfer. Under certain assumptions, the present study builds a mathematical model of melting heat transport nanofluid flow of chemical reactions and joule heating. Nanofluid flow is described by higher-order partial non-linear differential equations. Incorporating suitable similarity transformations and dimensionless parameters converts these controlling partial differential equations into the non-linear ordinary differential equations and resulting system of nonlinear equations is established. Plotted graphic visualizations in MATLAB More >

  • Open Access

    ARTICLE

    Nanofluid Heat Transfer in Irregular 3D Surfaces under Magnetohydrodynamics and Multi-Slip Effects

    Mumtaz Khan, Muhammad Shoaib Anwar, Mudassar Imran, Amer Rasheed
    Frontiers in Heat and Mass Transfer, Vol.22, No.5, pp. 1399-1419, 2024, DOI:10.32604/fhmt.2024.056597
    (This article belongs to the Special Issue: Advances in Computational Thermo-Fluids and Nanofluids)
    Abstract This study employs the Buongiorno model to explore nanoparticle migration in a mixed convection second-grade fluid over a slendering (variable thickness) stretching sheet. The convective boundary conditions are applied to the surface. In addition, the analysis has been carried out in the presence of Joule heating, slips effects, thermal radiation, heat generation and magnetohydrodynamic. This study aimed to understand the complex dynamics of these nanofluids under various external influences. The governing model has been developed using the flow assumptions such as boundary layer approximations in terms of partial differential equations. Governing partial differential equations are… More >

  • Open Access

    ARTICLE

    Artificial Intelligence-Driven FVM-ANN Model for Entropy Analysis of MHD Natural Bioconvection in Nanofluid-Filled Porous Cavities

    Noura Alsedais, Mohamed Ahmed Mansour, Abdelraheem M. Aly, Sara I. Abdelsalam
    Frontiers in Heat and Mass Transfer, Vol.22, No.5, pp. 1277-1307, 2024, DOI:10.32604/fhmt.2024.056087
    (This article belongs to the Special Issue: Advances in Computational Thermo-Fluids and Nanofluids)
    Abstract The research examines fluid behavior in a porous box-shaped enclosure. The fluid contains nanoscale particles and swimming microbes and is subject to magnetic forces at an angle. Natural circulation driven by biological factors is investigated. The analysis combines a traditional numerical approach with machine learning techniques. Mathematical equations describing the system are transformed into a dimensionless form and then solved using computational methods. The artificial neural network (ANN) model, trained with the Levenberg-Marquardt method, accurately predicts values, showing high correlation (R = 1), low mean squared error (MSE), and minimal error clustering. Parametric analysis reveals significant… More >

  • Open Access

    ARTICLE

    Magneto-Hydro-Convective Nanofluid Flow in Porous Square Enclosure

    B. Ould Said, F. Mebarek-Oudina, M. A. Medebber
    Frontiers in Heat and Mass Transfer, Vol.22, No.5, pp. 1343-1360, 2024, DOI:10.32604/fhmt.2024.054164
    (This article belongs to the Special Issue: Advances in Computational Thermo-Fluids and Nanofluids)
    Abstract In this work, a steady mixed convection in a two-dimensional enclosure filled viananoliquid Cu/H2O through a porous medium was numerically analyzed. The nanoliquid flow is designated utilizing the Brinkman-Forchheimer model. The upper and the bottom horizontal walls are considered to be hot (Th) and cold temperature (Tc), respectively, whereas the other walls are thermally insulated. The impact of various dimensionless terms such as the Grashof number (Gr) in the ranges (0.01–20), the Reynolds number (Re) in the ranges (50–500), the Hartman number (Ha) in the ranges (0–20), and three different location cases (0.25, 0.5, and More >

  • Open Access

    ARTICLE

    Slip Effects on Casson Nanofluid over a Stretching Sheet with Activation Energy: RSM Analysis

    Jawad Raza, F. Mebarek-Oudina, Haider Ali, I. E. Sarris
    Frontiers in Heat and Mass Transfer, Vol.22, No.4, pp. 1017-1041, 2024, DOI:10.32604/fhmt.2024.052749
    (This article belongs to the Special Issue: Advances in Computational Thermo-Fluids and Nanofluids)
    Abstract The current study is dedicated to presenting the Casson nanofluid over a stretching surface with activation energy. In order to make the problem more realistic, we employed magnetic field and slip effects on fluid flow. The governing partial differential equations (PDEs) were converted to ordinary differential equations (ODEs) by similarity variables and then solved numerically. The MATLAB built-in command ‘bvp4c’ is utilized to solve the system of ODEs. Central composite factorial design based response surface methodology (RSM) is also employed for optimization. For this, quadratic regression is used for data analysis. The results are concluded More >

    Graphic Abstract

    Slip Effects on Casson Nanofluid over a Stretching Sheet with Activation Energy: RSM Analysis

  • Open Access

    ARTICLE

    Finite Element Analysis for Magneto-Convection Heat Transfer Performance in Vertical Wavy Surface Enclosure: Fin Size Impact

    Md. Fayz-Al-Asad, F. Mebarek-Oudina, H. Vaidya, Md. Shamim Hasan, Md. Manirul Alam Sarker, A. I. Ismail
    Frontiers in Heat and Mass Transfer, Vol.22, No.3, pp. 817-837, 2024, DOI:10.32604/fhmt.2024.050814
    (This article belongs to the Special Issue: Advances in Computational Thermo-Fluids and Nanofluids)
    Abstract The goal of this paper is to represent a numerical study of magnetohydrodynamic mixed convection heat transfer in a lid-driven vertical wavy enclosure with a fin attached to the bottom wall. We use a finite element method based on Galerkin weighted residual (GWR) techniques to set up the appropriate governing equations for the present flow model. We have conducted a parametric investigation to examine the impact of Hartmann and Richardson numbers on the flow pattern and heat transmission features inside a wavy cavity. We graphically represent the numerical results, such as isotherms, streamlines, velocity profiles,… More >

  • Open Access

    ARTICLE

    A Novel Numerical Method for Simulating Boiling Heat Transfer of Nanofluids

    Yang Cao, Xuhui Meng
    Frontiers in Heat and Mass Transfer, Vol.22, No.2, pp. 583-595, 2024, DOI:10.32604/fhmt.2024.049111
    (This article belongs to the 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 More >

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