Artificial neural network-based analysis of Cattaneo-Christov heat flux and Stratified Casson fluid flow over a stretching sheet with variable thermal conductivity

Researchers have employed artificial neural networks to analyze the behavior of stratified Casson fluid flowing over a stretching sheet. This study specifically investigates the Cattaneo-Christov heat flux model, which accounts for thermal relaxation time. The analysis also incorporates the effect of variable thermal conductivity, meaning the material's ability to conduct heat changes with temperature.

This research contributes to understanding complex fluid dynamics and heat transfer phenomena relevant to advanced manufacturing processes and material science.