Effect of time dependent morphological parameters of nanoclusters on perikinetic heat conduction and induced micro-convection mechanisms of oxide based nanofluids

ABSTRACT

The article represents an experimentally supported quantitative analysis to observe the effect of time, temperature, nanoclusters’ morphology, and instantaneous volume fractions on perikinetic heat conduction and Brownian motion-based induced convection mechanisms of oxide (Al₂O₃ and TiO₂, size 25–30 nm) based nanofluids. The appropriate models of thermal conductivity have been introduced to study the effect of various parameters such as; varying volume fractions, suspensions’ stabilities, nanoclusters’ growth, temperature, and the liquid layering. The developed model could predict the thermal conductivity enhancements of nanofluids within the accuracy of ± 0.5% to ± 4.5.0% in the temperature range from 20°C to 50°C.

Abbreviations: DI: De-ionized water; DLS: Dynamic light scattering; XRD: X-rays diffraction; TEM: Transmission electronic microscope; SDBS:Sodium dodecyl benzene sulphonate.

Figure Effect of temperature on the Brownian Reynold number for Al₂O₃-H₂O and TiO₂-H₂O nanofluids.

KEYWORDS:

• nano-fluid
• stability ratio
• perikinetic conduction
• Brownian motion
• thermal conductivity

Research Highlights

• Thermal conductivity, perikinetic conduction and Brownian motion-induced convection

• Theoretical analysis of time- and temperature-dependent volume concentration of the nano-particles

• Effect of clusters’ morphological parameters on thermal conductivity

• Time- and temperature-dependent morphological parameters of nanoclusters

Development of unified models for thermal conductivity enhancements of oxide-based nanofluids.