Levenberg–Marquardt artificial neural network approach to analyze the effect of surface roughness, horizontal magnetic field, and nanoparticle shape factor on ternary hybrid nanofluid flow

Investigating ternary nanofluid flow and heat transport across a rough revolving disk has important applications in modern engineering systems requiring efficient thermal management. The roughness of the rotating disk mimics real-world surfaces, enhancing turbulence and thus heat transport efficacy. In view of this, the current study focuses on heat transmission and ternary hybrid nanoliquid flow over a rough rotating disk in the presence of a porous medium and a horizontal magnetic field. Additionally, the influence of nanoparticle shape factor, variable thermal conductivity, and quadratic thermal radiation on the fluid motion is scrutinized in the study. The governing partial differential equations (PDEs)…