Nanomeghyas

Nanomeghyas

Effect of water-graphene oxide nanofluid on the performance and heating properties of heat exchangers using experimental and mathematical data

Document Type : Original Article

Authors
Sahar Behzadi 1
Mahdi Hedayatian 2
Parya Hemati 3
1 Department of Mechanical Engineering, Arak Branch, Islamic Azad University, Arak, Iran
2 Department of Mechanical Engineering, Asadabad Branch, Islamic Azad University, Asadabad, Iran
3 Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Abstract
In this article, turbulent flow characteristic of GO-water nanofluids is thoroughly reviewed. Also presents the effects of some important parameters such as, GO nanoparticles concentration, and Reynolds number on heat transfer rate. The range of nanofluid concentration is considered as 0.0%-1.0% of volume concentration and in a double tube heat exchanger counter flow under turbulent flow conditions which Reynolds number of the turbulent flow is chosen between 80000 and 180000; the effect of graphene oxide nanocatalysts on heat transfer has been investigated. The viscosity of nanofluid has a maximum of 23% increase in comparison to the base fluid (water). There was a 25.4% growth in thermal conductivity in the present nanofluid compared to the minimum amount of that for water. Considering the data obtained from this study, the Nusselt number, the convective heat transfer coefficient, the friction factor, and the thermal performance coefficient are investigated. In order to validate the data, the results of this study are compared with preceding studies and experimental data. Maximally, the nanofluid has a 23% increment in the friction factor, 69.7% augmentation in the convective heat transfer coefficient, 37% growth in Nusselt number in comparison to the base fluid. However, the thermal performance coefficient maximally increments by 1.85. According to the achieved results, the present nanofluid can be used in heat exchangers.
Keywords
Heat Exchanger
Graphene Oxide
Nanofluid
Turbulent Flow
Numerical Modelling
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  • Receive Date 14 March 2022
  • Revise Date 06 July 2022
  • Accept Date 03 August 2022