| The phenomenon of convective heat transfer in thermodynamic systems is always associated with entropy generation,which destroys the available work.In its numerous forms,the fluid has to pass through flat and curved surfaces.Due to increasing fluid velocity and fluid frictional effects,kinetic energy quickly rises in highly viscous fluids.As a consequence,there is an escalation in entropy and a decrease in energy.A heat transfer mechanism from higher to lower temperatures and vice versa results in further heat losses and entropy generation.Decreased entropy generation or heat losses can increase the efficiency of a thermal engineering system.As a result,it is critical to emphasize entropy generation in heat transfer mechanisms and strive to reduce thermal energy losses in a variety of physical problems in many applied sciences.Furthermore,every contribution to such a research study has an impact on the diversified analysis of multiple thermodynamical systems in fluid mechanics.Current research focuses on quantifying entropy generation within thermodynamic systems associated with convective heat transfer and aims to optimize system design to minimize irreversibility effects.This analysis is crucial for enhancing heat transfer efficiency and reducing fluid flow imperfections.The research study includes a full thermodynamic analysis of both Newtonian and non-Newtonian fluids with boundary layers.This analysis takes into account things like the effects of porosity,magnetic fields,radiation,heat source/sink effects,and joule heating.By accounting for these factors,expressions for entropy generation are computed,accounting for the different sources of irreversibility.There are three equations that govern these physical phenomena:the Navier-Stokes momentum equation,the continuity equation,and the energy equation.These equations can be rewritten as coupled multidimensional nonlinear PDEs.Similarity transformations allow the fundamental equations to undergo transformation,resulting in simplified and dimensionless forms.Afterward,the numerical technique bvp4c in MATLAB was employed to obtain the solutions to these resulting nonlinear equations.The Law of Increased Entropy,or thermodynamics’second law,is used to measure entropy generation in thermal processes.A significant entropy generation effect may be observed close to stretching surfaces as a result of this study.Several factors contribute to the generation of entropy,such as the magnetic field.It is also more prominent for surfaces that are curved and stretching to produce entropy.Our findings align with the existing published literature,which consistently emphasizes the significant role of Brownian motion in enhancing the heat capacity and thermal performance of nanofluids.One of the key findings of this study is the significant heat transfer control achieved by applying suction at the surface.We present several graphs that help explain the obtained results and how several key parameters affect entropy production. |
