Physical mechanisms and predictive performance of thermal conductivity models for nanofluids

Abstract

Nanofluids present a promising group of fluids comprising base fluids like water, ethylene glycol, or oil, mixed with solid particles at the nanoscale. These nanofluids exhibit exceptional physical properties that hold significant potential for revolutionizing heat transfer processes. The objective of this study is to extensively investigate the phenomenon of improved thermal conductivity in nanofluids, focusing on critical factors such as particle volume concentration, size, temperature, and base fluid characteristics. Through a meticulous comparison of experimental data and analytical thermal conductivity models, the primary aim of this research is to uncover the underlying mechanisms responsible for this transformative effect. A comprehensive analysis of existing literature reveals a lack of agreement and conflicting findings regarding the influence of particle size, shape, and surfactants on thermal conductivity in nanofluids. Building upon this knowledge gap, our investigation aims to address and reconcile the observed discrepancies through a comprehensive parametric study. This comprehensive approach not only enhances our current understanding but also holds significant potential for optimizing nanofluids in various heat exchange applications. The importance of this study extends beyond the domain of nanofluid properties. By shedding light on the intricate physical mechanisms driving the enhancement of thermal conductivity, it has the potential to redefine the limits of heat transfer capabilities. The findings of this research hold great promise for engineers, researchers, and industries looking to fully exploit the potential of nanofluids. Through its rigorous methodology and unwavering dedication to unraveling the mysteries surrounding nanofluids, this study paves the way for groundbreaking advancements in the field of heat exchange.