Response surface methodology (RSM) was used to study a Propylene Glycol-water nanofluid. The nano powder content was varied to make three PG + W (75:25) samples. Graphene and MWCNT nano particles were blended in base fluids at 0.25% and 0.5% using four-ball milling. Temperature decreases viscosity, and the combination PG + W (75:25) + 0.5% G + MWCNT has the lowest viscosity at 0.32 m2/s. The laboratory parameters in this study include a 40–120 ◦C temperature range and a 0 to 0.5% weight percentage. Finding the best prediction model and solution is the goal. The statistical-mathematical investigation of modelers' performance, contrast, and motives and the inconsistency between laboratory behaviour and real-world applications prompted this study. Some tested models are 2FI, quadratic, cubic, and quartic. Analysis of these modelling functions' statistical properties is a novel contribution to the area. Statistical research shows that the cubic model depicts nanofluids twice as accurately as other models. The R2 coefficient, C.V%, and P-value are used to evaluate models. The cubic model indices are 0.9936, 3.54%, and 0.0001. At 109.661 C, nanofluids should have 0.401 m2/sec viscosity and 0.278 weight percentage.
No takes yet. Share an insight, caveat, or question.
Surakasi et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: