The main theme of this research is to explore the mechanism of Jeffrey hybrid nanofluid flow induced by a nonlinear elastic stretched cylinder influenced by couple stress, thermal radiation and exothermic chemical reaction.
The equations of physical problem are transmuted as nonlinear ordinary differential equations by the implementation of suitable similarity transformations. Bvp4c solver is utilized for the computations of problem solutions. The results are validated by the Bayesian Neural Network approach which predicted the superior accuracy with small mean squared error to assure the resistance in deformation.
Critical findings indicated that an increase in the magnetic parameter reduced the velocity of the fluid. The incorporation of nanoparticles and thermal radiation remarkably improved the temperature of the fluid. Entropy generation increases with a rise in magnetic field and Brinkman number. It is observed that the friction factor increased by 2.25% when the couple stress parameter increases from 0.5 to 3. Heat transmission rate is augmented by 44.5% by enhancing the thermal radiation parameter from 0 to 1.
This model will be beneficial in the applications of solar thermal collectors, cooling systems and cooling of nuclear reactors where the solutal and thermal transportation with minimized entropy formation is required for system performance and energy efficiency.
This study is original and no similar research has been conducted to date.
