Numerical Study on Heat Transfer Characteristics of Jet Impingement by using MgO Nanofluid

Zhi Xian Tan; Tsz Loong Tang; Hamidon  Salleh; Hasan Abdualatif  Muhalhal; Nur Syahirah  Mohd Hanafi; Intan Fadhlina  Mohamed; Mohd Anas  Mohd Sabri; Wan Aizon  W. Ghopa

doi:10.37934/arfmts.122.2.202218

Authors

Zhi Xian Tan Department of Energy and Thermofluid Engineering, Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn, Parit Raja, 86400 Batu Pahat, Johor, Malaysia
Tsz Loong Tang Department of Energy and Thermofluid Engineering, Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn, Parit Raja, 86400 Batu Pahat, Johor, Malaysia
Hamidon Salleh Department of Energy and Thermofluid Engineering, Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn, Parit Raja, 86400 Batu Pahat, Johor, Malaysia
Hasan Abdualatif Muhalhal Department of Marine Mechanical Engineering, Al Asmarya Islamic University, Zliten, Libya
Nur Syahirah Mohd Hanafi Department of Mechanical and Manufacturing Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
Intan Fadhlina Mohamed Department of Mechanical and Manufacturing Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
Mohd Anas Mohd Sabri Department of Mechanical and Manufacturing Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
Wan Aizon W. Ghopa Department of Mechanical and Manufacturing Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia

DOI:

https://doi.org/10.37934/arfmts.122.2.202218

Keywords:

ANSYS workbench 18.2, ANSYS fluent, heat transfer characteristics, multiple jet impingement, magnesium oxied nanofluid, numerical simulation, Reynolds number, volume concentration

Abstract

Liquid impingement jet can provide high local heat transfer coefficients between the impinged liquid and the targeted surface. Jet impingement is utilized in the applications which is related to rapid cooling and better control of high temperature in many applications. The studies are carried out numerically by using ANSYS Workbench 18.2. Hexagonal meshing and Shear-Stress Transport (SST) turbulence model is used in the numerical simulation. By using SST turbulence model, the effect of jet Reynolds number, nanofluid volume concentration on the average heat transfer coefficient of the target plate is analysed and discussed. For the effect of varying the Reynolds number, it is observed that the surface average heat transfer coefficient increases at least 76.18% as the Reynolds number increases from 5000 to 10000. Moreover, the heat transfer coefficient increases as the volume concentration increases from 0% to 5%. It is also observed that when the nanofluid with higher thermal conductivity will results in higher heat transfer coefficient where the MgO nanofluid showed the highest heat transfer coefficient. As a conclusion, by increasing Reynolds number, volume concentration and thermal conductivity of nanofluid, the heat transfer coefficient can be enhanced.