P.K. Pattnaik , Subhajit Panda , Rupa Baithalu , S.R. Mishra
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引用次数: 0
Abstract
The proposed study aims at the impact of inertial drag due to the Darcy-Forchheimer flow of a conducting micropolar hybrid nanofluid comprising Copper and silver in water through parallel plates embedding within a permeable medium. The particular model finds significant applications in energy storage devices advanced cooling systems, and biomedical equipment due to their developed thermal features. The superior properties of multiple nanoparticles' heat transfer characteristics, make them suitable for high-performance applications. Including additional nanoparticles in water enhances the thermal conductivity is useful to improve heat transfer phenomena allows for effective temperature control in micro-engineering systems. The designed model in dimensional form is converted into the non-dimensional system with the help of appropriate similarity functions which accounted for several characterizing factors. The transformed model utilizes the Akbari-Ganji Method (AGM) to solve the nonlinear differential equations with the specified surface conditions. The physical behavior of the factors involved in the flow phenomena are obtained graphically for the proper choice of the range of each factor and elaborated in the discussion section. However, the important outcomes of the study are; the resistivity of the magnetization and porosity retards the velocity distribution at the lower as well as the upper plates. Further, enhanced thermal conductivity of the hybrid nanofluid boost up the fluid temperature distribution.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.