Machine learning augmented X-ray computed tomography features for volumetric defect classification in laser beam powder bed fusion

Influence of Mean Stress and Building Orientation on the Fatigue Properties of Sub-Unital Thin-Strut Miniaturized Ti6al4v Specimens Additively Manufactured Via Laser-Powder Bed Fusion

“…Particularly, the role of surface micro-notches, through their consideration as defects projected on the axial plane, via the ̅̅̅̅̅̅̅̅̅̅̅̅̅ area xy √ parameter, should be assessed and integrated into the reported analysis. The employment of statistic of extremes approaches and machine learning methodologies towards strategies for the strut fatigue life prediction should be considered, as already reported in [60,61].…”