Experimental Investigation and Modeling of S,N-GQDs Nanofluid Density Using New Equation of State and Artificial Neural Network

Abstract

Density measurement was performed on S,N-GQDs nanoparticles dispersed in base fluids such as water, ethylene glycol and 60:40 water/ethylene glycol. Firstly, we synthesized S,N-GQDs nanoparticles by the chemical vapor deposition method. UV-Vis absorption spectrometry, XRD, FT-IR, EDX and SEM analysis were done to elucidate the structure and morphology of the as prepared samples. The measurements were performed with different weight percentages from 0.09 to 0.9%. The temperature range of the measurements ranged from 20° to 60° C. Also, artificial neural network method and improved Tao-Mason equation of state (TM EOS) were used to calculate the density of nanofluids. These models are in good agreement with experimental results.