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Advances in Nanofluids: Modelling, Simulation and Applications

Submission Deadline: 31 December 2021 (closed)

Guest Editors

Professor Qasem M. Al-Mdallal, United Arab Emirates University, UAE
Professor Ali J. Chamkha, Prince Mohammad Bin Fahd University, Saudi Arabia
Dr. Mohammad Reza Safaei, Florida International University, USA
Dr. N. Vishnu Ganesh, Ramakrishna Mission Vivekananda College, India


In recent decade, the development in nanotechnology inspired the scientists and industrialists due to its wide variety of fantastic applications. The challenges in the heat transfer processes in the industries and in many other engineering and medical fields have been overcome by the development of nanofluid dynamics. A suspension of nanosized particles (metallic or non-metallic) with poor heat transfer base fluids (Water or Organic solvents) is called Nanofluids. Nanofluids have application in magnetic sealants (mechanical), solar water heater (energy), antibacterial, theranosticm and nanocryo surgery (medical) etc. Both theoretical and experimental researchers is being tried to develop the concept of nanofluids due its enhanced thermal properties and energy saving effect. Still we are in need of more theoretical and experimental multidisciplinary researches on nanofluids.

This special issue focuses on covering a variety of scientific topics related to the developments in the field of nanotechnology and heat transfer. its main target is to provide a platform for the researchers across different fields who are involved with heat transfer nanotechnology and fluid dynamics. Therefore, we invite high-quality research papers focusing on recent and significant studies on modelling and simulation of nanofluids in different engineering geometries.


Computational modelling of Nanofluids, Convective heat and Mass transfer of Nanofluids, Newtonian and Non-Newtonian Nanofluids, Numerical/Analytical study on nano boundary layer flows, Multiphase nanofluid flows, Nanofluid flows and porous media, Ionanofluids

Published Papers

  • Open Access


    Prediction and Optimization of the Thermal Properties of TiO2/Water Nanofluids in the Framework of a Machine Learning Approach

    Jiachen Li, Wenlong Deng, Shan Qing, Yiqin Liu, Hao Zhang, Min Zheng
    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.8, pp. 2181-2200, 2023, DOI:10.32604/fdmp.2023.027299
    (This article belongs to this Special Issue: Advances in Nanofluids: Modelling, Simulation and Applications)
    Abstract In this study, comparing multiple models of machine learning, a multiple linear regression (MLP), multilayer feed-forward artificial neural network (BP) model, and a radial-basis feed-forward artificial neural network (RBF-BP) model are selected for the optimization of the thermal properties of TiO2/water nanofluids. In particular, the least squares support vector machine (LS-SVM) method and radial basis support vector machine (RB-SVM) method are implemented. First, curve fitting is performed by means of multiple linear regression in order to obtain bivariate correlation functions for thermal conductivity and viscosity of the nanofluid. Then the aforementioned models are used for a predictive analysis of the… More >

  • Open Access


    Simulation of Rock Complex Resistivity Using an Inversion Method

    Yu Tang, Jingcun Yu, Benyu Su, Zhixiong Li
    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 679-688, 2022, DOI:10.32604/fdmp.2022.019609
    (This article belongs to this Special Issue: Advances in Nanofluids: Modelling, Simulation and Applications)
    Abstract The complex resistivity of coal and related rocks contains abundant physical property information, which can be indirectly used to study the lithology and microstructure of these materials. These aspects are closely related to the fluids inside the considered coal rocks, such as gas, water and coalbed methane. In the present analysis, considering different lithological structures, and using the Cole-Cole model, a forward simulation method is used to study different physical parameters such as the zero-frequency resistivity, the polarizability, the relaxation time, and the frequency correlation coefficient. Moreover, using a least square technique, a complex resistivity “inversion” algorithm is written. The… More >

  • Open Access


    Buoyancy driven Flow of a Second-Grade Nanofluid flow Taking into Account the Arrhenius Activation Energy and Elastic Deformation: Models and Numerical Results

    R. Kalaivanan, N. Vishnu Ganesh, Qasem M. Al-Mdallal
    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.2, pp. 319-332, 2021, DOI:10.32604/fdmp.2021.012789
    (This article belongs to this Special Issue: Advances in Nanofluids: Modelling, Simulation and Applications)
    Abstract The buoyancy driven flow of a second-grade nanofluid in the presence of a binary chemical reaction is analyzed in the context of a model based on the balance equations for mass, species concentration, momentum and energy. The elastic properties of the considered fluid are taken into account. The two-dimensional slip flow of such non-Newtonian fluid over a porous flat material which is stretched vertically upwards is considered. The role played by the activation energy is accounted for through an exponent form modified Arrhenius function added to the Buongiorno model for the nanofluid concentration. The effects of thermal radiation are also… More >

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