Numerical investigation of heat transport in Alumina–Silica hybrid nanofluid flow with modeling and simulation

Preeti, and Odelu Ojjela

Mathematics and Computers in Simulation (MATCOM), 2022, vol. 193, issue C, 100-122

Abstract: The current numerical study investigates the thermal performance of four mono-component (i.e., blade-shaped Al2O3, brick-shaped Al2O3, cylinder-shaped Al2O3 or platelet-shaped Al2O3 nanoparticles in 50:50 water–ethylene glycol (EG) base fluid) and four bi-component nanofluids (i.e., blade-shaped Al2O3+SiO2/EG–water, cylinder-shaped Al2O3+SiO2/EG–water, brick-shaped Al2O3+SiO2/EG–water, and platelet-shaped Al2O3+SiO2/EG–water hybrid nanofluids) with the help of mathematical modeling. The non-Newtonian nature of these nanofluids is modeled using second grade viscoelastic fluid model accompanied by the energy equation. The highly non-linear coupled differential equations are solved by shooting method accompanied by 4th order Runge–Kutta method in MATLAB software. The numerical simulations are performed by procuring the data for thermophysical properties from the experimental studies. The effective thermal conductivity and viscosity of the four distinct alumina nanofluids are calculated by the models obtained from the experimental studies. The numerical results reveal that the nanofluid with platelet-shaped Al2O3 nanoparticles is the best heat transporter among the four alumina nanofluids The addition of SiO 2 nanoparticles further accelerates the rate of heat transfer in all four alumina nanofluids. The numerical results that illustrate the influence of nanoparticle volume fraction and thermofluidic parameters on the heat transport phenomenon are also discussed. The MATLAB code developed for the numerical solution is validated against the substantial published literature.

Keywords: Hybrid nanofluid; Shape effect; Heat transport; Non-Newtonian; Alumina and Silica nanoparticles (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:193:y:2022:i:c:p:100-122

DOI: 10.1016/j.matcom.2021.09.022

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