Shweta Koparde

Machine learning-based pre-print build adhesion prediction in FDM using STL geometric features

Build adhesion failure is one of the major causes of defects and print loss in fused deposition modelling (FDM). This study proposes an automated framework to extract layer-wise geometric features from STL models and predict build adhesion requirements before printing begins. A P...