Optimized framework for slip flow of viscous fluid towards a curved surface with viscous dissipation and Joule heating features

Following to the thermal applications of optimized nanoparticles, the inspired attention is devoted by scientists on this topic as it attribute dynamic role in the engineering and different industrial processes. The phenomenon of entropy generation is quite significant for the ensuring the enhanced thermal features and stability of nanoparticles. This thermal contribution addressed the optimized aspects of viscous nanoparticles confined by curved surface with Joule heating and viscous dissipation thermal reflections. Moreover, the radiative pattern is also observed to execute the energy enhancement. The slip enrollment is considered instead of traditional no-slip flow mechanism. After re-attaining dimensionless form of governing equations, the shooting algorithm via MATLAB software is developed. The confirmations of obtained numerical data are verified after comparative analysis. The physical sense of parameters is observed with graphical framework. The change in entropy generation and Bejan number is also visualized in view of parameters. Based on reported outcomes, it is concluded that curvature parameter improves the change in velocity while velocity profile reduces with implementation of slip factors. The radiation parameter and curvature constant enhanced the temperature. Moreover, the enhancement in slip parameters increases the Bejan number. (C) 2021 Elsevier Inc. All rights reserved.

Automated summary

This study focuses on the optimization of nanoparticles in thermal applications, with an emphasis on the impact of curvature and slip parameters on velocity changes and Bejan number increases.