About this Research Topic
Cooling with high thermal flux is essential for the good performance of modern devices such as high-power laser equipment, nuclear power systems, space vehicles, high-performance-microprocessors, and solar water heaters. One of the heat transfer enhancement methods is to improve the thermal properties of heat transfer fluids. By adding nanoparticles to conventional heat transfer fluids, a new class of heat transfer fluids is obtained, called nanofluids. The results of previous investigations show that the thermal properties of nanofluids are significantly better than the base fluid. In line with this, nanofluids have the potential to revolutionize heat transfer systems; studying their behavior, as well as recognizing certain aspects of their properties, is gaining attention among many researchers.
Accurate prediction of nanofluids behavior is essential for designing systems that use nanofluids. Results of published studies show that the existing correlations and models for conventional heat transfer fluids are not able to predict the behavior of nanofluids accurately. Therefore, new relationships and models should be proposed for accurate prediction of nanofluids behavior. In addition, despite numerous studies on the behavior of nanofluids, the mechanisms of improving the behavior of nanofluids are still unclear. Future research needs to focus on expanding the knowledge on the different aspects of the behavior of nanofluids as well as on characterizing their performance according to their different applications. Furthermore, highlighting the systems that have been optimized using nanofluids is equally important.
This Research Topic aims at gathering experimental, analytical, and numerical studies on the transport phenomena in nanofluids:
• Preparation and stability of nanofluids
• Thermophysical properties of nanofluids
• Forced convective heat transfer
• Natural convective heat transfer
• Boiling heat transfer of nanofluids
• Nanofluids in microchannel
• Hybrid nanofluid
• CFD in nanofluids
• Mass transfer in nanofluids
• Mechanisms of heat and mass transfer enhancement
• Applications and challenges of nanofluids
• Nanofluids hydrodynamics
• Modeling and optimization
• Artificial intelligence in nanofluids
• Entropy generation due to nanofluid flow and heat transfer
Keywords: Nanofluids, Convective Heat Transfer, Modeling and Optimization, Hybrid Nanofluid, Computational Fluid Dynamics
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