article · Numerical Heat Transfer Part B Fundamentals
This research provides a numerical investigation into the electrokinetic peristaltic movement of a Sutterby nanofluid passing through an asymmetric microchannel. The mathematical model incorporates a porous medium, Joule heating, a transverse magnetic field, and an axial electric field. Governing equations covering fluid momentum, continuity, heat transfer, and electric potential are simplified using Debye-Huckel linearisation alongside long-wavelength and low Reynolds number approximations. Numerical solutions evaluate entropy generation, Bejan numbers, flow velocity, temperature distributions, and fluid entrapment phenomena across different waveform streamlines. The results reveal that fluid velocity increases alongside increases in the porosity parameter, whereas higher values of the magnetic parameter produce the opposite outcome by dampening flow speed.
Understanding how nanofluids move through tiny channels under electrical and magnetic influences helps engineers design more efficient microscale systems. By demonstrating how porosity and magnetic fields control fluid speed, heat transfer, and entropy generation, this theoretical analysis clarifies how to manipulate microscopic liquid transport without relying on mechanical pumps.
The abstract does not indicate an application pathway, as it focuses entirely on early-stage theoretical and numerical modelling of microscale fluid dynamics.
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This article aims to investigate the electrokinetic peristaltic flow of the Sutterby nanofluid through an asymmetric microchannel with a porous medium and the Joule heating parameter. The magnetic field is applied in the transverse direction and the electric field on the flow direction. The flow model consists of the continuity, momentum, heat, and electric potential equations, with appropriate boundary conditions. The Debye-Hückel linearization approximation is considered. Under the long wavelength and small Reynolds number approximation, the lengthy equations were reduced. The resultant coupled equations are numerically solved by the renowned NDSolve coding using Mathematica software. Entropy and Bejan number are also incorporated in this study. The velocity, temperature, and the phenomenon of entrapment are analyzed in depth with the aid of graphical representations. Streamlines of various waveforms are also discussed. The analysis discovered that the velocity of the fluid enhanced for porosity parameter and reverse effects is observed on the quantity of the magnetic parameter.
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DOI: 10.1080/10407790.2024.2329773
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