Thermophoresis And Brownian Motion Effects On Nanofluids Flow In Conducting Fields With Ion And Slip Effects
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Abstract
The investigation of thermophoresis and Brownian motion in the flow of nanofluids
newlinewithin conducting fields has considerable implications for advanced cooling systems,
newlineparticularly in the electronics and aerospace industries, where efficient heat dissipation
newlineis critical. This research also contributes significantly to the enhancement of nanofluidbased heat exchangers and solar collectors.
newlineThe study explores the intricate behavior of multiphase and nanofluid flows
newlineunder diverse physical conditions, including electromagnetic effects, porous media, and
newlinecross-diffusion phenomena. It focuses on various fluid models, such as Casson hybrid
newlinenanofluids, ternary nanoliquids, and immiscible three-phase flows. The fundamental
newlinegoverning equations for the flow model are established based on the problem statement.
newlineThese equations are coupled non-linear partial differential equations that govern the
newlineflow, thermal, and concentration fields.
newlineMethods including the perturbation technique, Galerkin finite element method,
newlineand Differential Transform Technique (DTM) are utilized to solve the governing
newlineequations of momentum and energy conservation. The findings reveal that factors such
newlineas the shape factor of nanoparticles, thermal and solutal Grashof numbers, and magnetic
newlinefield strengths significantly affect heat transfer rates, velocity profiles, and skin friction.
newlineNotably, laminar-shaped particles demonstrate superior heat transfer compared to
newlinespherical particles, while vortex viscosity results in increased fluid velocity at
newlineinterfaces. Furthermore, the Soret and Dufour effects are shown to impact thermal and
newlinemass diffusion in nanofluid flows.
newlineThe incorporation of Response Surface Methodology (RSM) in some studies
newlineallows for a sensitivity analysis that identifies intricate relationships between flow
newlinedynamics, heat transfer, and material properties. Overall, the findings suggest that finetuning parameters such as nanoparticle shape, magnetic and electric fields, and porous
newlinemedia can significantly enhance the efficiency and performance of