Features of Quadratic Thermal Radiation on the Chemically Reactive Flow of Casson-Micropolar Fluid with Homogeneous-Heterogeneous Chemical Reactions: A Levenberg-Marquardt Artificial Neural Network Approach

The present article explores the consequence of quadratic thermal radiation on the steady stream of Casson-micropolar fluid past a stretching surface with magnetic field impact. Additionally, the governing flow issue is modelled using the Casson fluid model in combination with microrotation and heterogeneous-homogeneous chemical reactions. A deeper understanding of intricate heat and mass transmission mechanisms, which are rarely examined together, is made possible by this model. Furthermore, the study uses sophisticated computational methods to solve nonlinear fluid flow issues more accurately and effectively. With the aid of similarity transformations, the governing equations are transformed into ordinary differential equations (ODEs) and numerically solved using Runge-Kutta Fehlberg’s fourth-fifth order (RKF-45) technique. To assess the flow, mass, and heat transport behaviour, the Levenberg-Marquardt artificial neural network (LMANN) approach is used. Additionally, a comparison of RKF-45 values and LMANN outcomes is provided. The rate of heat transmission is assessed by employing the Taguchi statistical technique. According to the Taguchi technique, the Biot number is the primary factor influencing heat transfer performance, accounting for around 97.73% of variations in the Nusselt number. The upsurge in the micropolar parameter raises the velocity profile. The thermal profile rises as the Biot number and radiation parameter values increase.