Computational analysis of entropy generation for cross-nanofluid flow

This research work is made to demonstrate diverse characteristics of entropy generation minimization for cross nanomaterial towards a stretched surface in the presence of Lorentz's forces. Transportation of heat is analyzed through Joule heating and radiation. Nanoliquid model consists of activation energy and Brownian movement aspects. Concentration of cross material is scrutinized by implementing zero mass flux condition. Bejan number and entropy generation (EG) rate are formulated. The employment of transformation variables reduces the PDEs into nonlinear ODEs. Bvp4c scheme is implemented to compute the computational results of nonlinear system. Velocity, temperature, and concentration are conducted for cross nanomaterial. Consequences of current physical model are presented through graphical data and in tabular form. The outcomes for Bejan number and EG rates are presented through graphical data. It is noted that EG rates and Bejan number significantly affect rate of heat-mass transport mechanisms. In addition, graphical analysis reveals that E.G. rate has diminishing trend for diffusive variable. Moreover, achieved data reveal that profiles of Bejan number boost for augmented values of radiation parameter.