Entropy generation analysis of nanoliquid flow through microchannel considering heat source and different shapes of nanoparticle

Abstract

Purpose

This paper aims to focus on the steady state flow of nanoliquid through microchannel with the aid of internal heat source and different shapes of nanoparticle. The influence of MoS₂ and TiO₂ particles of nano size on flow and thermal fields is examined. The governing equations are modelled and then solved numerically. The obtained physical model is nondimensionalized using dimensionless quantities. The nondimensional equations are treated with numerical scheme. The outcome of the current work is presented graphically. Diverse substantial quantities such as entropy generation, Bejan number and Nusselt number for distinct parameters are depicted through graphs. The result established that nanoparticle of blade shape acquires larger thermal conductivity. Entropy analysis is carried out to explore the impact of various parameters such as nanoparticle volume fraction, magnetic parameter, radiation parameter and heat source parameter.

Design/methodology/approach

The resultant boundary value problem is converted into initial value problem using shooting scheme. Then the flow model is resolved using Runge-Kutta-Fehlberg-Fourth-Fifth order technique.

Findings

It is emphasized that entropy generation for the fluid satisfies N(ζ)_{(TiO2−water)} > N(ζ)_{(MoS2−water)}. In addition to this, it is emphasized that N(ζ)_sphere > N(ζ)_brick > N(ζ)_cylinder > N(ζ)_platelet > N(ζ)_blade. Also, it is obtained that blade-shaped nanoparticle has higher thermal conductivity for both MoS₂ and TiO₂.

Originality/value

Shape effects on Molybdenum disulphide and TiO₂ nanoparticle in a microchannel with heat source is examined. The analysis of entropy shows that N(ζ)_{(TiO2−water)} > N(ζ)_{(MoS2−water)}.

Citation

Gireesha, B.J. and Sindhu, S. (2020), "Entropy generation analysis of nanoliquid flow through microchannel considering heat source and different shapes of nanoparticle", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 30 No. 3, pp. 1457-1477. https://doi.org/10.1108/HFF-06-2019-0472