4.7 Article

Stability Analysis of Unsteady MHD Rear Stagnation Point Flow of Hybrid Nanofluid

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MATHEMATICS
卷 9, 期 19, 页码 -

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MDPI
DOI: 10.3390/math9192428

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magnetohydrodynamics; heat generation; absorption; stretching; shrinking surface; stability analysis; hybrid nanofluid

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This study aims to analyze the heat transfer performance of unsteady magnetohydrodynamics (MHD) in hybrid nanofluid and the impact of heat generation/absorption, converting multivariable differential equations with partial derivatives into a specific type of ordinary differential equations through similarity transformations. The results show that increasing nanoparticle concentration and magnetic field increases the coefficient of skin friction, while the inclusion of the heat generation parameter leads to an upward trend in temperature distribution profile, degrading heat transfer performance. Multiple solutions were confirmed, leading to stability analysis to confirm the feasibility of the first solution.
Previous studies have reported that investigating the stagnation point flow is relevant in a variety of industrial and technological processes, including extrusion and the polymer industries. Hence, the present work aims to analyse the heat transfer performance of unsteady magnetohydrodynamics (MHD) in hybrid nanofluid and heat generation/absorption impact. The multivariable differential equations with partial derivatives are converted into a specific type of ordinary differential equations by using valid similarity transformations. The resulting mathematical model is clarified utilising the bvp4c function. The results of various control parameters were analysed, and it was discovered that increasing the nanoparticle concentration and magnetic field increases the coefficient of skin friction along the stretching/shrinking surface. The inclusion of the heat generation parameter displays an upward trend in the temperature distribution profile, consequently degrading the heat transfer performance. The findings are confirmed to have more than one solution, and this invariably leads to a stability analysis, which confirms the first solution's feasibility.

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