Study of the effect of magnetic field characteristics on Rayleigh-Taylor instability with density gradient layers

Peng, Cheng; Chu, Mengran; Song, Youya; Deng, Jian; Wu, Jihuai

doi:10.1016/j.compfluid.2022.105726

Cited by 3 publications

(1 citation statement)

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“…Therefore, the effect of magnetic field at different inclination angles will impact the heat transfer characteristics of nanofluid inside any enclosure. This interaction between the fluid flow and electrically conducting fluid on heat transfer application is also known as magnetohydrodynamics (MHD) [18][19][20]. In general, a strong magnetic field works against the heat transfer mechanism and therefore, the possible impact of magnetic fields inside a heat transfer system needs to be understood.…”

Section: Introductionmentioning

confidence: 99%

Lattice Boltzmann simulation of natural convection of ethylene glycol-alumina nanofluid in a C-shaped enclosure with MFD viscosity through a parallel computing platform and quantitative parametric assessment

et al. 2023

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The multiple-relaxation-time (MRT) lattice Boltzmann method (LBM) was considered in this study to numerically analyse the effects of magnetic field dependent (MFD) viscosity on the natural convection of ethylene glycol (C$_2$H$_6$O$_2$)-alumina (Al$_2$O$_3$) nanofluid in a side heated two-dimensional C-shaped enclosure using graphics processing unit (GPU) by a computing unified device architecture (CUDA) C parallel computing platform. Numerical simulations were performed at multifarious Rayleigh numbers, Hartmann numbers, and the different magnetic field inclination angles to study the heat transfer and various flow patterns under magnetic field-dependent (MFD) viscosity. The numerical solutions were presented by varying volume fraction of nanoparticles, Rayleigh numbers, viscous parameters, magnetic inclination angles, and Hartman numbers on streamlines, isotherm, local and average Nusselt number and temperature. Further correlation developments were conducted through Levenberg-Marquardt data-driven algorithm to investigate the influence of all the parameters on average Nusselt numbers, entropy generation, and fluid irreversibility parameter. The findings demonstrated that as the Rayleigh numbers augmented, the average Nusselt number increased significantly due to the influence of buoyancy, whereas under the influence of Hartmann numbers, average Nusselt numbers decreased due to the dominance of magnetic field strength and Lorentz force. However, the heat transfer continued to improve if the concentration of the nanoparticles increased, thus showcasing the importance of hybrid nanofluid. In addition, the entropy generation impact across the cavity for the ethylene glycol-alumina nanofluid was greatly enhanced by a stronger buoyancy influence. The findings from this study provide major evidence that the inclusion of nanofluid can be a great alternative fluid to improve the heat transfer efficiency under the influence of magnetic field strength, which can be implemented and further investigated in electronic cooling system and chip designing industry which extensively work with C-shaped equipment.

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Section: Introductionmentioning

confidence: 99%