Faculty of Science

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Browsing Faculty of Science by Author "Al‑Naghi, Ahmed"

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    Two‑phase simulation of entropy optimized mixed convection flow of two different shear‑thinning nanomaterials in thermal and mass diffusion systems with Lorentz forces
    (Springer Nature, 2024-01-04) Suresha, S.; Khan, Umair; Soumya, D. O.; Venkatesh, P.; Gasmi, Hatem; Sunitha, M.; Zaib, Aurang; Al‑Naghi, Ahmed; Karoui, Hatem; Ishak, Anuar; Ojok, Walter
    This research compares the momentum, thermal energy, mass diffusion and entropy generation of two shear thinning nanofluids in an angled micro-channel with mixed convection, nonlinear thermal radiation, temperature jump boundary condition and variable thermal conductivity effects. The approach was used to solve the Buongiorno nonlinear governing model. The effect of different parameters on the flow, energy, concentration, and entropy generating fields have been graphically illustrated and explained. The hyperbolic tangent nanoliquid has a better velocity than the Williamson nanofluid. The Williamson nanofluid has higher thermal energy and concentration than the hyperbolic tangent nanoliquid in the microchannel. The Grashof number, both thermal and solutal, increases the fluid flow rate throughout the flow system. The energy of the nanoliquid is reduced by the temperature jump condition, while the energy field of the nanoliquid is enhanced by the improving thermal conductivity value. The nanoliquids concentration rises as the Schmitt number rises. The irreversibility rate of the channel system is maximized by the variable thermal conductivity parameter.