PHYSICS-INFORMED NEURAL NETWORK FOR PREDICTING EXTRUSION FORCE IN BASKET GRANULATION

These files are videos related to our article "PHYSICS-INFORMED NEURAL NETWORK FOR PREDICTING EXTRUSION FORCE IN BASKET GRANULATION" authored by A.H. Syed et al. 2026. These videos show 1) the effect of hole diamaeter for basket extrusion with a single hole (N=1): N1D5L2.mp4 N1D3L2.mp4 N1D3L2.mp4 2) the effect of hole diamaeter for basket extrusion with 15 holes (N=15): N15D5L2.mp4 N15D3L2.mp4 N15D3L2.mp4 3) the effect of liquid-solid ratio: LS010.mp4 LS015.mp4 4) Effect of roller size: R40.mp4 R50.mp4 5) Experiments carried to evaluate material constant as presented in Figure 6 of the associated article. Material COnstant Evaluation.mp4 6) and other cumplementary video to help readers understand the basket granulation processes: 20240903_160428.mp4 20240903_160930.mp4 20240823_162430.mp4 20240823_165513.mp4 20240805_144023.mp4 20240805_145102.mp4 20240805_150012.mp4