Intelligent computing for MHD radiative Von Karman Casson nanofluid along Darcy-Fochheimer medium with activation energy.

ABSTRACT: The impact of activation energy in chemical processes, heat radiations, and temperature gradients on non-Darcian steady MHD convective Casson nanofluid flows (NMHD-CCNF) over a radial elongated circular cylinder is investigated in this study. The network of partial differential equations (PDEs) for NMHD-CCNF is developed using the modified Buongiorno framework, and the network of controlling PDEs is then transformed into ordinary differential equations (ODEs) utilizing the Von Karman method. Finally, the resulting non-linear ODEs are computed using the ND-solve approach to produce sets of data to assess the proposed model's skills, which can then be handled using the Bayesian Regularization technique of artificial neural networks (BRT-ANN). A novel stochastic computing-based application is

SUBMITTER: Raja MAZ 

PROVIDER: S-EPMC10622628 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature