Influence of Process Parameters and Convective Heat Transfer on Thermophysical Properties of SiO2 Nanofluids by Multiobjective Function Analysis (DFA)

From the requirements, high-performance cooling systems in applications of solar, heat exchangers, and chemical industries are needed to improve efficiency. The metal-oxides-based nanofluids composed better thermal properties with exchange heat-transfer mechanisms. Therefore, this study mainly focused on nanosilicon dioxide materials produce blending water-base medium by two-step techniques. scanning electron microscope was used analyze presence silicon nanoparticles from procured material. During method input aspects like weight fraction (1.5–4.5 wt%), particle sizes (10–30 µm), pH range water (5–9), sonication process time (2–4 hr) were considered. outcomes conductivity, specific capacity, viscosity selected as physical properties. desirability techniques implemented identify best optimal parameters nanofluid processing. outcomes, processed fluids respective 0.9623 W/mK for 688 J/kg K forspecific 0.00162 viscosity, respectively. coefficient successfully identified fluids, Nusselt number Reynolds attained coefficients.