Computational study of dissipative ternary hybrid nanofluid flow across a partially slipped‐exponentially stretchy surface using numerical and regression analysis

Abstract This research seeks a computational study of dissipative ternary hybrid nanofluid flow across a partially slipped exponentially stretchy sheet. A ternary hybrid nanofluid is prepared by suspending Cu, TiO 2 , and Al 2 O 3 nanoparticles in water (H 2 O). The mathematical model is established based on the underlying assumptions of energy, mass, and momentum conservation laws. The assumed models are represented by interconnected nonlinear partial differential equations that employ a suitable and comparable adjustment. The numerical solution to these equations is evaluated for approximate convergence implementing the Lobatto‐IIIa‐bvp4c‐algorithm‐based solver integrated into the MATLAB software. This solver is constructed using a finite difference scheme. The implications of relevant evolving parameters on the velocity field (VF), nanoliquid temperature (NT), surface skin friction (SSF), and heat transport rate (HTR) are investigated through graphical and tabular representations under slip and no‐slip conditions. Furthermore, we have devised regression models to forecast the correlation between surface skin friction, thermal heat transmission rate, and dynamic flow parameters. Our results reveal that the increase in magnetic field intensity diminishes the ternary hybrid nanofluid velocity. However, this results in a reversal effect on the ambient temperature of the hybridized fluid. The surface shear stress is more responsive to changes in velocity slippage compared to changes in suction. Similarly, the heat transmission rate is significantly more susceptible to the influence of viscous dissipation than solar radiation.