Enhanced analysis of MHD radiative hybrid nanofluid flow over a spinning disc with hall currents via advanced computational techniques

• DOI: 10.1016/j.rineng.2024.103733
• Publication Date: 2024-12-14T03:51:30Z
• Authors: Muhammad Jebran Khan; Mohsin Ali; Maher Ali Rusho; Juan Carlos Cayán...; Eduardo Francisco...; Diego Ramiro Ñaca...; Angel Geovanny Gu...; Noormal Samandari
• Keywords: Technology; Heat Transmission; Thermal radiation; T; Rotating disc; Hybrid nanofluid; Heat flux; Hall Current

This study examines the Hall current characteristics in hybrid nanofluid flow over a rotating disc, incorporating the effects of magnetic fields and nonlinear thermal radiation. The hybrid nanofluid is a novel blend of copper (Cu) and titanium dioxide (TiO2) nanoparticles in water, with the flow behavior further enhanced by adding single-wall carbon nanotubes (SWCNT) and multi-wall carbon nanotubes (MWCNT) with CoFe2O4. The study uniquely addresses the impact of nanoparticle shapes on flow dynamics, crucial in the evolving field of nanotechnology, where carbon nanotubes (CNTs) find applications in energy storage, fracture toughness, and electromagnetic interactions. Advanced machine learning techniques, such as physics-informed neural networks and hybrid models, are employed to improve predictions, using synthetic data based on governing partial differential equations. Solutions are derived via the new iterative method (NIM) and the bvp4c function in Mathematica. The modified New Iterative Method (NIM) integrated with Physics-Informed Neural Networks (PINNs) to address challenges in modeling nonlinear hybrid nanofluid dynamics. This novel approach marks a significant advancement in predictive fluid dynamics. The findings reveal intricate interactions within the nanofluid flow, with graphical analyses illustrating the influence of varied parameters on component behavior and heat transmission. This integration of computational and machine learning methods enhances the understanding of complex flow dynamics, marking a significant advancement in fluid dynamics research.