Entropy-optimized radiative Maxwell ternary nanofluid flow with magnetohydrodynamics and heat generation effects
The present study investigates the mechanism of solar energy utilization as non-renewable energy in a ternary nanofluid flow and heat transfer system, incorporating a Maxwell non-Newtonian fluid over a linearly inclined stretching sheet at an inclination angle of π/4, with the effects of heat generation. The influence of a perpendicular magnetic field, which induces Lorentz forces, in a porous medium is also considered. In addition, suction at the plate and entropy generation analysis are incorporated to evaluate thermodynamic irreversibility in the system. The governing partial differential equations are transformed into a system of ordinary differential equations using appropriate similarity transformations. The transformed model is then solved using the bvp4c solver to obtain the final solution, and the results are presented in graphical and tabular form. The results indicate that increasing solar thermal radiation and magnetic field strength significantly improve temperature distribution within the system. Similarly, an increase in the heat generation parameter further enhances the temperature distribution. The presence of solar radiation enhances the fluid’s thermal efficiency. The proposed approach presents a novel framework for improving thermal management in next-generation solar energy technologies. The magnetic force, while influencing fluid motion, also affects the system’s thermal behavior. The results are compared at the end to assess the validity of the current solutions. The study further demonstrates that an increase in the Brinkman number results in a decrease in the Bejan number. Since the Bejan number represents the heat transfer irreversibility within the fluid, the increasing resistance, driven by the Brinkman number, directly affects it, thereby reducing the system’s overall thermodynamic efficiency. The comparison with previously published results shows strong agreement, validating the accuracy and reliability of the present model. A sensitivity analysis is also performed to evaluate the relative influence and ranking of key governing parameters on the system response.

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