Optimization of hybrid nanoparticles with mixture fluid flow in an octagonal porous medium by effect of radiation and magnetic field

• Published in: Journal of thermal analysis and calorimetry Vol. 143; no. 2; pp. 1413 - 1424
• Main Authors: Hosseinzadeh, Kh, Roghani, So, Mogharrebi, A. R., Asadi, A., Ganji, D. D.
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 2021; Springer Nature B.V
• Subjects: Analytical Chemistry; Chemistry; Chemistry and Materials Science; Ethylene glycol; Field investigations; Finite element method; Fluid dynamics; Fluid flow; Fluid mechanics; Inorganic Chemistry; Magnetic properties; Measurement Science and Instrumentation; Nanofluids; Nanoparticles; Optimization; Parameters; Physical Chemistry; Polymer Sciences; Porosity; Porous media; Porous media flow; Radiation effects; Rayleigh number; Response surface methodology; Taguchi methods; Temperature distribution; Titanium dioxide; Natural convection; Octagonal porous enclosure; Magnetic field; RSM; Hybrid nanoparticle
• ISSN: 1388-6150; 1588-2926
• DOI: 10.1007/s10973-020-10376-9

Investigation of fluid behavior in a cavity enclosure has been a significant issue from the past in the field of fluid mechanics. In the present study, hydrothermal evaluation of hybrid nanofluid with a water–ethylene glycol (50–50%) as the base fluid which contains MoS
2
–TiO
2
hybrid nanoparticles, in an octagon with an elliptical cavity in the middle of it, has been performed. In this problem, the effects of the radiation parameter, porosity, and the magnetic parameter have been analyzed on temperature distribution and fluid flow streamlines and also, on the local and average Nusselt numbers. The governing equations have been solved by the finite element method (FEM). As a novelty, the Taguchi method has been utilized for test design. Further, the response surface method (RSM) has been applied to achieving the optimum value of the involved parameters. The obtained results illustrate that with an augment in the Rayleigh number from 10 to 100, the average Nusselt number will improve by about 61.82%. Additionally, regarding the correlation, it is indeed transparent that the Rayleigh number has the most colossal contribution comparing other factors on the achieved equation, by about 61.88%.