Thermal conductivity performance in propylene glycol-based Darcy-Forchheimer nanofluid flow with entropy analysis

Background and objective: Entropy generation is a novel prospective in many thermodynamic processes and presents dynamic applications in heat polymer processing optimization. The significance of entropy generation is observed in heat exchangers, combustion, thermal systems, nuclear reactions, turbine systems, porous media and many others. In view of such thermal applications, the main objective of recent analysis is to analyze the entropy optimized analysis for dissipative flow of Darcy-Forchheimer nanofluid over a permeable medium. Flow is generated by stretching of surface. Thermal radiation and viscous dissipation are incorporated in heat expression. Boehmite (AlOOH) and silica (SiO2) are considered as nanoparticles. Here propylene glycol (C3H8O2) is considered as continuous phase fluid. Entropy features is discussed through thermodynamics second law. Methodology: Nonlinear ordinary dimensionless form is obtained through suitable dimensionless variables. The obtained dimensionless expressions are numerically solved by implementation of ND-solve method. Results: Graphical feature of entropy rate, temperature, Bejan number and velocity profile against flow variables for both Boehmite (AlOOH) and silica (SiO2) nanoparticles are discussed. Computational results of thermal transport rate and drag force versus sundry variables for Boehmite and silica nanoparticles are studied. An increment in velocity profile is seen through volume fraction. Conclusions: A reverse trend hold for entropy rate and velocity with rising values of porosity variable. An amplification in radiation correspond to augments thermal field and Bejan number. A decrement occurs in Bejan number with increasing values of Brinkman number. An improvement in drag force is noticed through volume fraction. An improvement in radiation improves the thermal transport rate. Higher estimation of radiation boosts up entropy generation.

Automated summary

This article investigates the application of entropy optimized analysis in permeable media through thermodynamic analysis. Numerical solutions are used to discuss the effects of nanoparticles on entropy rate, temperature, Bejan number and velocity profile. The results show that porosity, radiation and Brinkman number have significant impacts on entropy and flow characteristics.