Paper Contents
Abstract
Computational Fluid Dynamics (CFD) has revolutionized the analysis and optimization of heat exchangers by providing a detailed understanding of fluid flow behavior, heat transfer mechanisms, and turbulence effects. This paper explores the application of CFD in the study of shell and tube heat exchangers, specifically focusing on the enhancement of heat transfer using graphene oxide nanofluid. The Navier-Stokes equations govern fluid motion and momentum transfer, essential for predicting pressure distributions and velocity profiles within the exchanger. The energy equation accounts for thermal energy conservation, incorporating terms for conduction, convection, and thermal radiation, crucial for evaluating temperature distributions and thermal efficiency. Additionally, turbulence models such as the k-epsilon model capture turbulent flow characteristics, aiding in the accurate prediction of heat transfer rates and fluid mixing. Through comprehensive CFD simulations, this study aims to optimize the design of a shell and tube heat exchanger with a helical coil using graphene oxide nanofluid, exploring its potential to enhance heat transfer efficiency. The findings underscore the significance of CFD in advancing heat exchanger technology, offering insights into improving thermal performance and operational reliability across various industrial applications.
Copyright
Copyright © 2024 Pankaj Kumar Bangre. This is an open access article distributed under the Creative Commons Attribution License.
