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Study of Thermal Conductivity Enhancement in Nanofluids Containing Metal Oxide Nanoparticles

Authors: Baby Theresa; Ambati Syamala;

Study of Thermal Conductivity Enhancement in Nanofluids Containing Metal Oxide Nanoparticles

Abstract

Nanofluids have emerged as advanced heat transfer media with significantly improved thermal performance compared to conventional fluids. This paper investigates the enhancement of thermal conductivity in nanofluids containing metal oxide nanoparticles, emphasizing the influence of particle type, size, shape, concentration, and interfacial interactions on overall heat transport behavior. A comprehensive literature synthesis demonstrates that the molecular structure and surface modification of nanoparticles directly govern thermal conductivity and stability. Recent molecular dynamics studies have shown that Cu-H₂O nanofluids exhibit higher thermal conductivity than CuO-H₂O counterparts, due to stronger phonon coupling at the solid–liquid interface and lower viscosity. Experimental works on hybrid and bio-based nanofluids further highlight the role of cellulose nanocomposite templates and surface functionalization in improving particle dispersion and dynamic stability. Additionally, investigations of rare-earth and Fe₃O₄@graphene oxide nanofluids reveal that synergistic interactions among nanoparticles can yield up to 270% heat transfer enhancement, surpassing that of single-component systems. Numerical and computational analyses of various metal oxide–based nanofluids (e.g., Al₂O₃, ZnO, TiO₂, MgO, and SiO₂) confirm that thermal conductivity improvement is strongly correlated with Reynolds number, nanoparticle surface area-to-volume ratio, and interfacial layer density. The study concludes that optimizing nanoparticle morphology, hybridization strategy, and surfactant-assisted stabilization offers a promising pathway for achieving high-efficiency, durable nanofluids suitable for solar thermal, photovoltaic cooling, and industrial heat exchanger applications.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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