Computational analysis of engine-oil based magnetite nanofludic problem inspired with entropy generation

Abstract

Abstract This article is a numerical investigation of ferrous-ferric oxide nanoparticles suspended nanofluid in existence of induced magnetic field over an elongating stretching surface. In order to examine efficiency in the sense of improved thermal conductivity two mostly encountered fluids i.e., Ethylene glycol and engine oil are taken into account. Highly nonlinear coupled system of partial differential equations is transformed into nonlinear coupled ordinary differential equations. Keller box technique based on finite differencing is used for computations. Results for influence of physical parameters on velocity, temperature and induced magnetic fields are displayed and discussed. Entropy generation analysis is carried out for comparative analysis. It is concluded that Ethylene glycol based magnetite nanofluid have better results than engine oil based magnetite nanofluid.