The onset of the Darcy-ferroconvection flow model in a couple stress fluid subjected to a time-periodic magnetic field

Balaji C., Maruthamanikandan S., Rudresha C., Vidyashree V.
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This study investigates the influence of a time-periodic (modulation) magnetic field upon the development of ferroconvection in a densely packed medium saturated with couple stress ferromagnetic fluid. The Darcy model is used to describe the flow in porous medium. The research is important from practical and theoretical point of view. A time-periodic magnetic field is essential in circumscribing channels where the effect of gravity is less or nonexistent to generate circulation. There are numerous engineering uses for this in the manufacturing of magnetic field sensors, charged particle electrode materials, modulators, magnetic resonators, and optical devices. The resulting physical eigenvalue problem is dealt with by using isothermal boundary conditions and the regular perturbation technique with a small time-periodic amplitude. The onset criteria were defined on the supposition that the exchange of stability principle holds. The shift in the thermal Rayleigh number is dependent on the associated parameters: magnetic parameter, Vadasz number, couple stress parameter, porosity, and frequency of the time-periodic function. The results in this case indicate that the onset of ferroconvection can be enhanced or reduced by appropriate changes in the governing parameters.

Keywords: ferromagnetic fluid, Darcy-model, couple stresses, perturbation method, modulation
Citation in English: Balaji C., Maruthamanikandan S., Rudresha C., Vidyashree V. The onset of the Darcy-ferroconvection flow model in a couple stress fluid subjected to a time-periodic magnetic field // Computer Research and Modeling, 2025, vol. 17, no. 2, pp. 213-223
Citation in English: Balaji C., Maruthamanikandan S., Rudresha C., Vidyashree V. The onset of the Darcy-ferroconvection flow model in a couple stress fluid subjected to a time-periodic magnetic field // Computer Research and Modeling, 2025, vol. 17, no. 2, pp. 213-223
DOI: 10.20537/2076-7633-2025-17-2-213-223
URL: http://crm-en.ics.org.ru/journal/article/3595/
Creative Commons License This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.

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