Return
Sensitivity Analysis and Modeling of Casson Non-Newtonian Ternary Hybrid Nanofluid Flow and Heat Transfer in a Rotating Annulus Using a Hybrid Physics-Informed Neural Network
M
S
DOI:10.1016/j.tca.2026.180377.png)
Abstract
En 中文
• Non-Newtonian Casson ternary hybrid nanofluid flow is studied inside an annulus. • MHD, thermal radiation, and irregular heat source/sink effects are considered. • Physics informed neural network is used to solve governing equations. • Sensitivity analysis is performed to check influence of parameters on Nusselt number.
Journal
IF:
3.5
Papers:
9.5K
Citations:
1.9W
