Machine-Learning-Based Analysis of Printing-Parameter Effects on Surface Roughness in FDM-Printed ULTEM 1010 Parts
This study combines replicated experimentation and machine learning to characterize how user-controllable fused deposition modeling (FDM) parameters relate to local surface quality in complex ULTEM 1010 components. A surgical guide geometry was evaluated across 18 printing conditions incorporating the infill pattern, i...