Exploring methods like nanoparticle selection, flow optimization, and advanced modeling to improve thermal performance in nanofluid systems under turbulence.
You can use your recommended software to model your system and then choose the most influential parameters. In that software, you'll see the required tools and techniques that will help you complete your modelling analysis.
Enhancing heat transfer rates is ancient science and any good text will explain issues like pressure drop vs htc and the use of extended surfaces or other enhancement techniques. There is nothing unique about suspensions, apart from the increased concern over deposition and fouling.
Optimizing heat transfer in nanofluid-based systems under turbulent flow requires a multi-faceted approach combining advanced materials, flow optimization, and accurate modeling techniques. Below are key techniques:
1. Nanoparticle Selection
Material Properties: Choose nanoparticles with high thermal conductivity (e.g., Al₂O₃, Cu, TiO₂, graphene, or carbon nanotubes).