Impact of multiple slips on thermally radiative peristaltic transport of Sisko nanofluid with double diffusion convection, viscous dissipation, and induced magnetic field

Author:

Yasmin Humaira12,Akram Safia3,Athar Maria4,Saeed Khalid5,Razia Alia3,Al-Juaid J. G.6

Affiliation:

1. Department of Basic Sciences, General Administration of the Preparatory Year, King Faisal University , P.O. Box 400 , Al-Ahsa 31982 , Saudi-Arabia

2. Department of Mathematics and Statistics, College of science, King Faisal University , P.O. Box 400 , Al Ahsa 31982 , Saudi-Arabia

3. Department of Humanities and Basic Sciences, MCS, National University of Sciences and Technology , Islamabad , Pakistan

4. Department of Humanities and Sciences, SEECS, National University of Sciences and Technology , Islamabad , Pakistan

5. School of Humanities and Sciences, College of Aeronautical Engineering, National University of Sciences and Technology , Islamabad , Pakistan

6. Department of Mathematics and Statistics, College of Science, Taif University , P.O. Box 11099 , Taif 21944 , Saudi Arabia

Abstract

Abstract The analysis focuses on investigating the phenomenon of double-diffusive convection using the Sisko nanofluid model. It particularly highlights the impact of induced magnetic flux, viscous dissipation, and heat radiation within an asymmetric geometry having multiple slip conditions. To ascertain the salient of the Brownian diffusion coefficient and thermophoresis, we have incorporated viscous dissipation, heat radiation, and the Buongiorno model. The Soret and Dufour parameters describe the convective double diffusion phenomenon. The mathematical formulation is constructed through equations governing magnetic force function, concentration, temperature, momentum, and continuity. These formulations yield nonlinear partial differential equations to explain the designated flow. To simplify the nonlinear partial differential equations, the lubrication paradigm of mathematical simulations is employed. The subsequent system of coupled nonlinear differential equations is calculated numerically through the NDSolve function, which is a built-in program of Mathematica. Numerical results and graphs give evidence that supports the significance of different flow quantities in physiological contexts. The findings from this investigation are anticipated to contribute to the development of intelligent magneto-peristaltic pumps, particularly in thermal and drug administration applications. The current investigation suggests that the distribution of temperature reduces as the coefficient of radiation increases due to a system’s high heat emission and consequent effects of cooling. Furthermore, the increased influence of heat radiation raises the concentration profile. It is also highlighted that heat radiation has the potential to raise a fluid’s temperature, which raises the volume fraction of nanoparticles.

Publisher

Walter de Gruyter GmbH

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