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Entropy Generation Optimization in a Ree-Eyring Ternary Hybrid Nanofluid Flow Over an Elastic Surface with Non-Fourier Heat Flux

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The significance of Ree-Eyring ternary hybrid nanofluid flow lies in its potential applications in various fields. By incorporating three different types of nanoparticles into a base fluid using the Ree-Eyring model, this innovative fluid offers enhanced thermal conductivity, heat transfer efficiency, and rheological properties. These characteristics are particularly valuable in industries such as electronics cooling, solar energy systems, and heat exchangers, where efficient heat management is crucial. Additionally, the unique rheological behavior of Ree-Eyring nanofluids can provide advantages in processes like drilling, lubrication, and drug delivery. Under Thompson-Troian boundary conditions, this study aims to theoretically analyse 2D radiative flow of the Ree-Eyring ternary hybrid nanofluid over an angled sheet with Cattaneo-Christov heat flux and higher order chemical reaction parameters. In order to express them as ordinary differential equations (ODEs), flow-driven equations undergo suitable similarity transformations. The ensuing system is resolved by employing a bvp4c approach. The main takeaway from this study is that the thermal relaxation parameter reduces the width of the temperature profile and the fluid velocity is minimized by adjusting the slip parameter. The concentration profile is minimized by the chemical reaction parameter and the Ree-Eyring fluid parameter increases with the same (fluid velocity). In addition, we found that the skin friction coefficient is strongly correlated negatively with the Ree-Eyring fluid parameter, positively with the (thermal) relaxation parameter, and significantly correlated positively with the chemical reaction through the Nusselt number. When Brinkman number increases, Bejan number drops. Furthermore, a rise in thermal radiation parameter leads to the escalation in both entropy generation and Bejan number. We observed a worthy agreement when we checked the outcomes of this investigation with prior effects.
Title: Entropy Generation Optimization in a Ree-Eyring Ternary Hybrid Nanofluid Flow Over an Elastic Surface with Non-Fourier Heat Flux
Description:
The significance of Ree-Eyring ternary hybrid nanofluid flow lies in its potential applications in various fields.
By incorporating three different types of nanoparticles into a base fluid using the Ree-Eyring model, this innovative fluid offers enhanced thermal conductivity, heat transfer efficiency, and rheological properties.
These characteristics are particularly valuable in industries such as electronics cooling, solar energy systems, and heat exchangers, where efficient heat management is crucial.
Additionally, the unique rheological behavior of Ree-Eyring nanofluids can provide advantages in processes like drilling, lubrication, and drug delivery.
Under Thompson-Troian boundary conditions, this study aims to theoretically analyse 2D radiative flow of the Ree-Eyring ternary hybrid nanofluid over an angled sheet with Cattaneo-Christov heat flux and higher order chemical reaction parameters.
In order to express them as ordinary differential equations (ODEs), flow-driven equations undergo suitable similarity transformations.
The ensuing system is resolved by employing a bvp4c approach.
The main takeaway from this study is that the thermal relaxation parameter reduces the width of the temperature profile and the fluid velocity is minimized by adjusting the slip parameter.
The concentration profile is minimized by the chemical reaction parameter and the Ree-Eyring fluid parameter increases with the same (fluid velocity).
In addition, we found that the skin friction coefficient is strongly correlated negatively with the Ree-Eyring fluid parameter, positively with the (thermal) relaxation parameter, and significantly correlated positively with the chemical reaction through the Nusselt number.
When Brinkman number increases, Bejan number drops.
Furthermore, a rise in thermal radiation parameter leads to the escalation in both entropy generation and Bejan number.
We observed a worthy agreement when we checked the outcomes of this investigation with prior effects.

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