Paper Key : IRJ************290
Author: Rajan Kumar
Date Published: 01 Nov 2022
In this investigation, a 3-dimensional numerical (3-D) simulation was used to examine the forced convection heat transfer of a copper (CuO)-based nanofluid in a helical tube. We investigate the effects on heat transfer and Nusselt number using internal helical tubes with changing Reynolds numbers (Re) at a constant wall heat flux. The spiral flow increases pressure drop and considerably improves heat transfer efficiency.This research uses computational fluid dynamics (CFD) to investigate the flow properties and heat transfer applications of a helical coil with a lobed cross section. The wall of the helical coil has a constant temperature of 373 K in all simulations, the flow is laminar, and the Reynolds number varies from 1200 to 2400.According to the findings, a coil with n6 exhibits the highest Nusselt number (Nu) and the lowest friction factor coefficient (f).The impact of incorporating CuO nanoparticles into water is considered last but not least. It can be seen that the Nusselt number increased about 33% when CuO-Water nanofluid was used instead of water as the working fluid. However, it is clear that there is little change in the friction factor coefficient. Furthermore, it is clear that the larger volume concentrations lead to faster rates of heat transmission. The correlation for forecasting Nusselt number is then illustrated using the numerical data.
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