Special Issues
Table of Content

Applications of Modelling and Simulation in Nanofluids

Submission Deadline: 31 December 2025 (closed) View: 2381 Submit to Special Issue

Guest Editors

Prof. Nehad Ali Shah

Email: nehadali199@sejong.ac.kr

Affiliation: Department of Mechanical Engineering, Sejong University, South Korea

Homepage:

Research Interests: Fluid Dynamics (Newtonian and non-Newtonian fluids, heat and mass transfer, viscoelastic models with memory, fractional thermoelasticity).

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Prof. Dumitru Vieru

Email: dumitru_vieru@yahoo.com

Affiliation: Department of Theoretical Mechanics, Technical University of Iasi, Romania

Homepage:

Research Interests: Fluid dynamics 

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Summary

Modeling and simulation are indispensable methodologies in the comprehension and enhancement of nanofluid behavior, which encompasses fluids infused with nanoparticles that improve thermal conductivity and rheological characteristics. These approaches enable scholars to examine intricate phenomena, including heat transfer, fluid dynamics, and nanoparticle interactions at the microscale, which are often difficult to investigate through experimental means.


A notable application resides in the advancement of heat transfer systems, including cooling apparatuses in electronic devices, automotive radiators, and heating, ventilation, and air conditioning (HVAC) systems. Modeling and simulation facilitate the forecasting and regulation of nanofluid behavior across varying thermal environments, thereby improving heat exchange efficacy. Furthermore, these techniques are employed to refine the design and formulation of nanofluids by identifying the optimal concentration, dimensions, morphology, and composition of nanoparticles tailored for specific applications.


In the realm of biomedical applications, simulations facilitate a comprehensive understanding of the behavior of nanofluids in drug delivery systems, wherein nanoparticles are employed to improve the transport and precise targeting of therapeutic agents. Furthermore, these simulations assist in investigating the potential applications of nanofluids in magnetic resonance imaging (MRI) and in the treatment of cancer through hyperthermia.


In summary, modeling and simulation present a cost-efficient and adaptable methodology for the investigation of nanofluids, thereby fostering innovation across diverse fields by optimizing their properties for particular applications and enhancing their efficacy in practical implementations.


Topics of interest include, but not limited to:

1. Nanofluids

2. Modeling and Simulation

3. Computational Fluid Dynamics (CFD)

4. Thermal Conductivity

5. Heat Transfer Enhancement

6. Nanoparticle Dispersion

7. Molecular Dynamics

8. Fluid Dynamics

9. Viscosity

10. Brownian Motion

11. Microchannel Flow

12. Numerical Analysis

13. Heat Exchangers

14. Energy Efficiency

15. Thermal Management

16. Phase Change Materials (PCM)

17. Nanoscale Fluids

18. Rheology of Nanofluids

19. Nanotechnology in Fluids

20. Advanced Cooling Techniques

21. Hybrid Nanofluids

22. Nanoparticle Aggregation

23. Convective Heat Transfer

24. Multiphase Flow

25. Nano-enhanced Fluids



Published Papers


  • Open Access

    ARTICLE

    Neuro-Fuzzy Computational Dynamics of Reactive Hybrid Nanofluid Flow Inside a Squarely Elevated Riga Tunnel with Ramped Thermo-Solutal Conditions under Strong Electromagnetic Rotation

    Asgar Ali, Nayan Sardar, Poly Karmakar, Sanatan Das
    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3563-3626, 2025, DOI:10.32604/cmes.2025.074082
    (This article belongs to the Special Issue: Applications of Modelling and Simulation in Nanofluids)
    Abstract Hybrid nanofluids have gained significant attention for their superior thermal and rheological characteristics, offering immense potential in energy conversion, biomedical transport, and electromagnetic flow control systems. Understanding their dynamic behavior under coupled magnetic, rotational, and reactive effects is crucial for the development of efficient thermal management technologies. This study develops a neuro-fuzzy computational framework to examine the dynamics of a reactive Cu–TiO2–H2O hybrid nanofluid flowing through a squarely elevated Riga tunnel. The governing model incorporates Hall and ion-slip effects, thermal radiation, and first-order chemical reactions under ramped thermo-solutal boundary conditions and rotational electromagnetic forces. Closed-form analytical… More >

  • Open Access

    ARTICLE

    A Comprehensive Numerical and Data-Driven Investigations of Nanofluid Heat Transfer Enhancement Using the Finite Element Method and Artificial Neural Network

    Adnan Ashique, Khalid Masood, Usman Afzal, Mati Ur Rahman, Maddina Dinesh Kumar, Sohaib Abdal, Nehad Ali Shah
    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3627-3699, 2025, DOI:10.32604/cmes.2025.072523
    (This article belongs to the Special Issue: Applications of Modelling and Simulation in Nanofluids)
    Abstract This study outlines a quantitative and data-driven study of the mixed convection heat transfer processes that concern Cu-water nanofluids in a Γ-shaped enclosure with one to five rotating cylinders. The dimensionless equations of mass, momentum, and energy are solved using the finite element method as implemented in the COMSOL Multiphysics 6.3 software in different rotating Reynolds numbers and cylinder geometries. An artificial Neural Network that is trained using Bayesian Regularization on data produced by the COMSOL is utilized to estimate the average Nusselt numbers. The analysis is conducted for a wide range of rotational… More >

  • Open Access

    ARTICLE

    High Accuracy Simulation of Electro-Thermal Flow for Non-Newtonian Fluids in BioMEMS Applications

    Umer Farooq, Nabil Kerdid, Yasir Nawaz, Muhammad Shoaib Arif
    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 873-898, 2025, DOI:10.32604/cmes.2025.066800
    (This article belongs to the Special Issue: Applications of Modelling and Simulation in Nanofluids)
    Abstract In this study, we proposed a numerical technique for solving time-dependent partial differential equations that arise in the electro-osmotic flow of Carreau fluid across a stationary plate based on a modified exponential integrator. The scheme is comprised of two explicit stages. One is the exponential integrator type stage, and the second is the Runge-Kutta type stage. The spatial-dependent terms are discretized using the compact technique. The compact scheme can achieve fourth or sixth-order spatial accuracy, while the proposed scheme attains second-order temporal accuracy. Also, a mathematical model for the electro-osmotic flow of Carreau fluid over… More >

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