Guest Editors
Prof. Sara I. Abdelsalam
Email: Sara.Abdelsalam@bue.edu.eg
Affiliation: Basic Science, Faculty of Engineering, The British University in Egypt, Egypt
Homepage:
Research Interests: nanofluids, applied mathematics, fluid mechanics, blood flows, porous media, heat and mass transfer
Prof. Abdelraheem Mahmoud Aly
Email: abdelreheam.abdallah@sci.svu.edu.eg
Affiliation: Department of Mathematics, King Khalid University, Saudi Arabia
Homepage:
Research Interests: mathematical modeling, particle-based simulations, computational fluid dynamics, smoothed particle hydrodynamics, heat transfer, and multiphase flow in porous media
Prof. Kambiz Vafai
Email: kambiz.vafai@ucr.edu
Affiliation: Department of Mechanical Engineering, University of California, USA
Homepage:
Research Interests: porous media, multiphase transport, aircraft brakes, micro cantilever-based biosensors, biofilms, macromolecule transport through arteries, cooling enhancement investigations, modeling of tissues and organs, natural convection in complex configurations, analysis of porous insulations, heat flux applications, free surface flows, flat-shaped heat pipes, thermal design and modeling
Summary
Nanofluids have transformed the landscape of heat and mass transfer research with their exceptional thermal properties and versatility in applications across industries. These fluids, enhanced with nanoparticles, offer unprecedented performance in energy systems, electronics cooling, biomedical devices, and environmental technologies.
Recent advancements in Computational Fluid Dynamics (CFD) tools, particularly OpenFOAM, have enabled the detailed simulation and modeling of nanofluid behavior, providing insights into complex transport phenomena. Integrating artificial intelligence (AI) with CFD has further revolutionized the field, offering powerful tools for predictive modeling, real-time optimization, and data-driven decision-making. Furthermore, particle-based methods such as Smoothed Particle Hydrodynamics (SPH) and meshfree methods have emerged as transformative techniques, providing flexible and efficient solutions for modeling complex fluid flows in diverse geometries. The integration of mesh methods with advanced computational tools has also facilitated enhanced precision in boundary layer flow analysis and multiphase interactions.
This special issue invites groundbreaking research and innovative applications of nanofluids, emphasizing computational approaches that leverage AI, CFD, OpenFOAM, meshfree methods, and mesh methods for advancing heat and mass transfer technologies. Additional focus includes studies on fluid flows through porous media, boundary layer flow, and nano-enhanced phase change materials. Topics extend to boundary layer theory advancements, multiscale modeling techniques, and hybrid computational frameworks integrating traditional methods with AI-driven insights. Applications in renewable energy, biomedical systems, and industrial processes are particularly encouraged.
Topics of Interest:
• CFD and OpenFOAM in Nanofluid Research
• Heat Transfer in Renewable Energy Systems
• Mesh/Meshfree Methods in Heat Transfer
• Electronics Cooling and Micro-Scale Applications
• Biomedical and Pharmaceutical Applications
• Industrial and Chemical Processes
• Boiling, Condensation, and Multiphase Flow Dynamics
• AI-Enhanced Nanofluid System Design
• Environmental and Sustainability Applications
• Numerical Modeling and Experimental Validation
• Economic Feasibility and Life-Cycle Assessment
• Fluid Flows through Porous Media
• Nano-Enhanced Phase Change Materials
• Boundary Layer Flow Dynamics
• Multiscale and Hybrid Computational Techniques
Keywords
nanofluids, heat transfer, mass transfer, CFD, AI-driven modeling, meshfree methods, mesh methods, porous media, nano-enhanced phase change materials, boundary layer flow, multiscale modeling, hybrid computational frameworks, renewable energy, electronics cooling, biomedical engineering, industrial processes, sustainability, multiphase flow, economic feasibility, life-cycle assessment
Login
Register
Submit a Paper
Propose a Special lssue
