Abstract
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.
Highlights
In real-world applications, the magnetic field is crucial in altering the field of flow
De Tommasi [4] proposed several control algorithms based on the dynamic model of the plasma magnetic control in tokamak devices
The resulting ordinary differential equations expressed in Equations (7)–(9) is clarified by employing the bvp4c tool in the MATLAB software
Summary
In real-world applications, the magnetic field is crucial in altering the field of flow. Due to the complexity of construction in tokamak plasma properties, the plasma magnetic control approaches are still underexplored [2] Because of these circumstances, complex mathematical models and the use of high-performance computing technologies are required. Mitrishkin et al [2] conducted an experimental and numerical study on a plasma magnetic cascade multiloop control system Their findings revealed that a quantitative computation of the plasma shape scenario is required to obtain the most advantageous magnetic control system operating modes. De Tommasi [4] proposed several control algorithms based on the dynamic model of the plasma magnetic control in tokamak devices. The availability of reliable plant models is a critical aspect in the design and deployment of plasma magnetic controllers
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