Statistical analysis of viscous hybridized nanofluid flowing via Galerkin finite element technique

• Published in: International communications in heat and mass transfer Vol. 137; p. 106244
• Main Authors: Pasha, Amjad Ali, Islam, Nazrul, Jamshed, Wasim, Alam, Mohammad Irfan, Jameel, Abdul Gani Abdul, Juhany, Khalid A., Alsulami, Radi
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.10.2022
• Subjects: Entropy optimized; Galerkin finite element technique; Powell-Eyring hybridized nanofluid; Statistical analysis; Variant thermal conductance; Powell-Eyring hybridized nanofluid; Variant thermal conductance; Statistical analysis; Galerkin finite element technique; Entropy optimized
• ISSN: 0735-1933; 1879-0178
• DOI: 10.1016/j.icheatmasstransfer.2022.106244

Because of its industrial applications, heat transmission is critical. A novel nanofluid class known as “hybrid nanofluid” is being employed to improve the heat transfer capacities of regular fluids and has a greater heat exponent than nanofluids. Two-element nanoparticles submerged in a base fluid are involved with the hybrid nanofluids. In this study, the hybrid nanofluid flowing and heat transport properties of a slippery surface are explored. The goal of this study is to investigate the steady stream and energy transfer of hybridizing nanoparticles across a surface with radiative impacts. To turn the leading equations into a place of comparable equations, a corresponding conversion is utilized. The thermal and flow characteristics of Powell-Eyring hybridizing nanofluids (PEHNF) were examined in this study under the influence of unsteadiness, porous material, variable thermal conductivity, thermal radiation, and convective boundary conditions. To evaluate the effectiveness of CNF, two different nanoparticles (Copper (Cu) and Titanium oxide (TiO2) are used, together with engine oil (EO) as a base fluid. The mathematical flow modeling of the nanofluid might be finished using a single-phase model and entropy evaluation. To solve the issue analytically, the COMSOL computing tool employs the Galerkin finite element technique (G-FEM). Tables and graphs demonstrate the results of several identifying, including the local Nusselt number, friction factor coefficients, rapidity, temperature, and entropy. The results demonstrate that increasing the Casson parameter decreases the temperature profile, while varying the Biot number, thermal radiative, and variable thermal conductivity parameter has no effect. The flow rapidity is lowered when the highly permeable material factor and volume fractions of nanoparticle are estimated to be bigger. The entropy of the system increases as the volume proportion of nanoparticles, thermal radiation, Powell-Eyring parameter, Biot number, and Reynolds number increase. Lamina form nanoparticles have a greater influence on temperature and entropy functions than sphere, hexahedron, tetrahedron, or column shape nanoparticles. The heat transfer ratio of PEHNF (Cu-TiO2/EO) was much larger than that of standard nanofluids (Cu-EO). The recent research examined the effect of using hybridizing nanofluid in diverse thermal management applications using experimental and simulation analysis. The acquired findings proved the efficacy of nanofluid treatment.