Special Issues
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Nanofluids and Convective Heat Transfer: Advances at the Intersection of Fluid Dynamics, Materials Science and AI

Submission Deadline: 31 December 2025 View: 334 Submit to Special Issue

Guest Editors

Prof. Dr. Engin Gedik

Email: egedik@karabuk.edu.tr

Affiliation: Mechanical Engineering Department, Karabük University, Karabük, 78050, Türkiye

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Research Interests: Energy, Thermodynamics, Heat transfer, Fluid mechanics, Thermal systems, Solar energy systems, Design of energy systems, Nanofluids, CFD, MHD

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Assoc. Prof. Mehmet Gürdal

Email: mgurdal@kastamonu.edu.tr

Affiliation: Mechanical Engineering Department, Kastamonu University, Kastamonu, 37150, Türkiye

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Research Interests: Thermodynamics, Heat transfer, Fluid mechanics, Nanofluids, CFD, MHD

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Dr. Emrehan Gürsoy

Email: emrehangursoy@gmail.com

Affiliation: Audit Department, Kardemir Karabük Iron Steel Industry Trade & Co. Inc., Karabük, 37150, Türkiye

Homepage:

Research Interests: Heat transfer, Nanofluids, Phase change materials, CFD, MHD

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Summary

This special issue is dedicated to showcasing recent experimental and computational advances in the study of nanofluids, with a particular focus on their role in convective heat transfer across a broad spectrum of engineering and materials science applications. Nanofluids—engineered colloidal suspensions of nanoparticles within conventional base fluids—continue to demonstrate extraordinary potential in enhancing thermal transport, tuning rheological behavior, and enabling novel thermal management strategies. These properties position them at the crossroads of fluid mechanics, thermal sciences, and materials engineering.


Central to this issue is the application of nanofluids in solar energy systems, heat exchangers, HVAC technologies, and energy storage systems, as well as fundamental studies on natural, forced, and mixed convection heat transfer. The contributions will emphasize how nanoscale material modifications and engineered fluid structures can drive macroscopic flow behavior and heat transfer enhancement, linking microscale material properties to bulk fluid dynamic performance.


Moreover, the issue aims to capture the state-of-the-art in modeling and experimental techniques that describe and optimize nanofluid behavior, including:
· Single and multiphase flow dynamics relevant to the stability and dispersion of nanoparticles in host fluids.
· The influence of turbulence-enhancing structures and extended surface modifications on convective performance.
· The integration of magnetic field effects in nanofluid systems for controlled heat and mass transport.
· The application of Artificial Intelligence (AI) and machine learning to model, predict, and optimize nanofluid behavior across varying geometries and thermal conditions.


This issue also welcomes studies that bridge fluid dynamics and materials science, particularly those exploring how nanoparticle type, concentration, morphology, and surface chemistry influence the overall thermal and hydrodynamic characteristics of nanofluids. Such interdisciplinary insights are crucial in the design of next-generation functional fluids and thermal systems for high-efficiency energy and environmental applications.


The Fluid Dynamics & Materials Processing (FDMP) journal invites high-quality original research articles, comprehensive reviews, and methodologically rigorous case studies. The scope includes, but is not limited to, the following themes:
· Experimental and numerical investigations of nanofluid behavior
· Application of nanofluids in solar collectors, heat exchangers, and HVAC systems
· Natural, forced, and mixed convection involving nanofluids
· Thermal energy storage applications using nanofluid-enhanced media
· Dynamics of single and multiphase nanofluid flows
· Turbulators and passive/active flow control devices
· Effects of extended surface modifications on convective heat transfer
· Magnetohydrodynamic (MHD) effects in nanofluid systems
· Computational fluid dynamics (CFD) modeling of nanofluid-based systems
· AI- and ML-based analysis and predictive modeling of nanofluid performance


By fostering collaboration across disciplines—fluid mechanics, thermophysics, materials science, and computational modeling—this special issue aims to serve as a comprehensive resource for researchers and engineers developing innovative thermal technologies driven by nanofluid applications. We warmly invite contributions that push the boundaries of current understanding and pave the way for smart fluid systems in both industrial and emerging applications.


Keywords

Nanofluids; Heat transfer; Computational Fluid Dynamics (CFD); Energy storage; Experimental and numerical studies; Natural, forced, and mixed convection; Single and multiphase flows; Expended surface modifications, Magnetic field, Artificial intelligence methods.

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