Implementation of Computational Fluid Dynamics and Response Surface Methodology to Study Nanofluid Heat Transfer

Abstract

Methods of computational fluid dynamics and design of experiments are implemented in modeling the heat transfer of an Al 2 O 3 /water-ethylene glycol (EG) nanofluid as a coolant in a car radiator system. The main purpose of the study is to propose a model to predict the Nusselt number using the design of computer experiment. The response surface methodology is applied to investigate the effects of the flow rate, the nanoparticle concentration, the water/EG ratio, and the inlet temperature on Nu. Analysis of variance is performed to obtain a suitable correlation that could predict Nu, leading to the elimination of insignificant terms in the initial proposed quadric model and the attainment of a reduced model. Moreover, the reduced model is converted to a simpler linear model using Box-Cox transformation, which predicts Nu with an accuracy of ±20 %.

Mixed convection hybrid nanofluid flow over a stationary permeable vertical cone with thermal radiation and convective boundary condition

“…Poongavanam et al [54] then successfully obtained the optimized condition for maximum heat transfer performance in nanofluid flow in solar thermal applications. Similarly, the suitable correlation and optimized heat and mass transfer rates for nanofluid flow were obtained by Rasekh et al [55] and Mackolil and Basavarajappa [56] through the RSM. Researchers have also utilized the RSM in studies of hybrid nanofluid flow.…”

“…Similarly, the suitable correlation and optimized heat and mass transfer rates for nanofluid flow were obtained by Rasekh et al. [55] and Mackolil and Basavarajappa [56] through the RSM. Researchers have also utilized the RSM in studies of hybrid nanofluid flow.…”