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M

M.S. Malashetty

Researcher at Gulbarga University

Publications -  11
Citations -  328

M.S. Malashetty is an academic researcher from Gulbarga University. The author has contributed to research in topics: Rayleigh number & Double diffusive convection. The author has an hindex of 10, co-authored 11 publications receiving 288 citations.

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Anisotropic thermoconvective effects on the onset of double diffusive convection in a porous medium

TL;DR: In this paper, the linear stability of the thermodiffusive equilibrium of a binary mixture of two miscible fluids in a horizontal plane porous layer is investigated and the linear theory is based on the normal mode analysis under the small amplitude assumption.
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The onset of convection in a couple stress fluid saturated porous layer using a thermal non-equilibrium model

TL;DR: In this paper, the stability of a couple stress fluid saturated horizontal porous layer heated from below and cooled from above when the fluid and solid phases are not in local thermal equilibrium is investigated.
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Double diffusive convection in a porous layer using a thermal non-equilibrium model

TL;DR: In this article, the Darcy model with time derivative term is employed as momentum equation for double diffusive convection in a fluid-saturated porous layer heated from below and cooled from above, using both linear and nonlinear stability analyses.
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The Effect of Rotation on the Onset of Double Diffusive Convection in a Horizontal Anisotropic Porous Layer

TL;DR: In this paper, the effect of rotation and anisotropy on the onset of double diffusive convection in a horizontal porous layer is investigated using a linear theory and a weak nonlinear theory.
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Linear and Non-linear Double Diffusive Convection in a Fluid-Saturated Anisotropic Porous Layer with Cross-Diffusion Effects

TL;DR: In this paper, a double diffusive convection in a horizontal anisotropic porous layer saturated with a Boussinesq binary fluid, which is heated and salted from below in the presence of Soret and DuFour effects is studied analytically using both linear and nonlinear stability analyses.