Submission Deadline: 30 June 2026 View: 382 Submit to Special Issue
Assoc. Prof. Dharmendra Tripathi
Email: dtripathi@nituk.ac.in
Affiliation: Department of Mathematics, National Institute of Technology Uttarakhand, Srinagar, 246174, India
Research Interests: biofluid mechanics, mathematical modelling
Dr. Rajashekhar V. Choudhari
Email: rv.choudhari@manipal.edu
Affiliation: Department of Mathematics, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, 576104, India
Research Interests: fluid mechanics, biomechanics, mathematical modelling, MHD, convection flows, thermal analysis, energy efficiency, numerical analysis, fluid flow and transport phenomenon, nanofluids, microfluidics, computation fluid dynamics, targeting drug delivery
Nanofluids are engineered colloidal suspensions of nanoparticles in base fluids, exhibiting enhanced thermal, optical, and rheological properties. They find applications in heat transfer, energy systems, biomedical fields, and nanotechnology.
The special issue aims to advance understanding and showcase recent developments in computational modelling and simulation of nanofluids, focusing on their thermal performance, applications, and innovative techniques. This special issue will bridge computational sciences, nanofluid physics, and engineering applications, and showcase numerical methods, CFD techniques, and machine learning approaches for nanofluid simulations.
The scope encompasses computational aspects, nanofluid characteristics, and diverse applications, focusing on advancing modelling and utilization of nanofluids. The special issue will cover key areas including:
Computational Modelling & Simulations
CFD techniques: Finite volume, finite element methods for nanofluid flow.
Multiscale modelling: Coupling macroscopic fluid dynamics with nanoparticle interactions.
Machine learning: AI/ML for predicting nanofluid properties, optimizing systems.
Nanofluid Properties & Behaviour
· Thermal conductivity: Enhancement mechanisms, models.
· Viscosity & rheology: Non-Newtonian behaviour, shear effects.
· Stability & dispersion: Challenges of nanoparticle agglomeration.
Applications
· Energy systems: Solar collectors, heat exchangers, thermal storage.
· Biomedical: Drug delivery, hyperthermia therapy, imaging.
· Industrial processes: Cooling, lubrication, machining.
Flow & Heat Transfer Phenomena
· Convection: Forced, natural, mixed convection studies.
· MHD (Magnetohydrodynamics): Nanofluids in magnetic fields.
· Phase change: Boiling, condensation aspects.
Hybrid & Advanced Nanofluids
· Hybrid nanofluids: Combinations of nanoparticles for synergistic effects.
· Ternary nanofluids: Multiple nanoparticle systems.
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