A generalized differential quadrature algorithm for the Sutterby nanofluid flow capturing irreversibility analysis and activation energy aspects

Abstract

It is well known that the dissipation of energy in each mechanism can be assessed by scrutinizing entropy generation. It is a dominant tool permitting energy wastage minimization or optimal utilization for strengthening system functioning. In this study, we considered Sutterby nanofluid in the presence of activation energy subjected to a convectively heated surface. The Sutterby nanofluid model contains Brownian and thermophoresis movement features. Moreover, the role of magnetic field and mixed convection on Sutterby nanofluid heat transfer is observed. The relation between Entropy generation and the Bejan number is also expressed. Furthermore, the set of nonlinear PDEs is changed into non-linear ODEs by using some appropriate similarity transformations. Then these coupled ODEs are solved numerically by applying GDQM (generalized differential quadrature method). The results of the existing model for the velocity field, temperature profile, concentration distribution, entropy generation, and the Bejan number are exhibited pictorially and tabularly. The graphical analysis shows that nanofluid temperature intensifies for larger Eckert numbers, whereas it deteriorates for greater. Moreover, it discloses that entropy generation represents deteriorations for diffusive variables. Furthermore, graphical exploration of the Bejan number boosts for enlarged values of radiation parameters.