Entropy generation in nonlinear mixed convective flow of nanofluid in porous space influenced by Arrhenius activation energy and thermal radiation

Here, nonlinear mixed convective flow of nanomaterials over a porous stretching sheet is discussed. The Buongiorno model is used in the mathematical modeling. Important aspects of Buongiorno model, i.e., Brownian movement and thermophoresis are addressed. Further impact of activation energy, viscous dissipation, Joule heating and nonlinear thermal radiation retained in energy and concentration expressions. Optimization of entropy generation rate is discussed. The governing systems are modeled through dimensionless variables. The series solutions are constructed via OHAM algorithm. Features of various sundry variables are interpreted and deliberated. Our analysis reveals that entropy enhances via higher estimation of Reynolds number, radiation and magnetic variables. Our analysis reveals that Bejan number shows decaying feature via Brinkman number and magnetic parameter.