Modeling and numerical simulation for flow of hybrid nanofluid (SiO₂/C₃H₈O₂) and (MoS₂/C₃H₈O₂) with entropy optimization and variable viscosity

Abstract

Purpose

The purpose of this paper is to investigate the entropy optimization in magnetohydrodynamic hybrid nanomaterials flows toward a stretchable surface. The energy expression is modeled subject to dissipation, heat generation/absorption and Joule heating. Here silicon dioxide (SiO₂) and molybdenum disulfide (MoS₂) as nanoparticles and propylene glycol (C₃H₈O₂) as base fluid, respectively. Furthermore, the authors discussed the comparative study of molybdenum disulfide and silicon dioxide diluted in propylene glycol. The total entropy optimization rate is computed through implementation of the second law of thermodynamics.

Design/methodology/approach

The nonlinear partial differential system is reduced to an ordinary one through implementation of transformation. Newton built-in shooting method is used for computational results for the given system. Influences of various flow variables on the temperature, Bejan number, velocity, concentration and entropy generation rate are examined graphically for both nanoparticles (SiO₂ and MoS₂). Gradients of velocity and temperature are computed numerically for various physical parameters. Also, take the comparison between the present and previously published results in tabulated form.

Findings

For higher estimation of ϕ both temperature and velocity are enhanced. Entropy optimization and Bejan number have the opposite outcome for viscosity parameter. Temperature and velocity have opposite behaviors for larger values of magnetic parameter. Molybdenum disulfide (MoS₂) is more efficient than silicon dioxide (SiO₂).

Originality/value

No such work is yet published in the literature.

Citation

Khan, M.I., Ahmad Khan, S., Hayat, T., Waqas, M. and Alsaedi, A. (2020), "Modeling and numerical simulation for flow of hybrid nanofluid (SiO₂/C₃H₈O₂) and (MoS₂/C₃H₈O₂) with entropy optimization and variable viscosity", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 30 No. 8, pp. 3939-3955. https://doi.org/10.1108/HFF-10-2019-0756