The work focuses on an experimental evaluation of the changes of thermal conductivity (TC) of ethylene glycol-based
nanofluid containing SiO2
nanoadditives against volume concentration of nanoadditives (φ) and temperature. The experiments
are carried out in the φ range of 0–2.5% and temperature range of 30–55 °C. The dynamic light scattering method
is used to obtain the particle size distribution, while the transmission electron microscopy technique is utilized to visualize
agglomerated particles in the prepared nanofluid samples. The outcomes revealed that the TC of the nanofluid grows by
boosting both the φ and temperature. The percentage enhancement varied in the range of 0.72–26.66%. Furthermore, the
curve-fitting method was utilized to model the TC of the nanofluid using experimental data. It was found that the developed
model is able to properly forecast the TC of nanofluid with the maximum percentage error of 1.75%.