Additive manufacturing of fatigue resistant materials: Challenges and opportunities

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Qualification of AM parts: Extreme value statistics applied to tomographic measurements (2017, background): “Therefore, also the extreme estimates performed on these data result in larger values, and the difference in the HCF resistance between horizontal and vertical samples [2,10,11,47,52-54] is explained.”
High cycle fatigue behavior and life prediction for additively manufactured 17-4 PH stainless steel: Effect of sub-surface porosity and surface roughness (2020, neutral): “Typical sub-surface features in net-shape parts: (a) sub-surface porosity generated by the LB-PBF process in net-shape or machined specimens (adapted from [1]); (b) sub-surface porosity in the down-skin region of an inclined AlSi10Mg part produced without supports (adapted from [7]).”
Additive manufacturing of metallic components – Process, structure and properties (2018, background): “Yadollahi and Shamsaei identified additional challenges for determining fatigue properties of AMmaterials, including the variation in thermal histories from test coupons compared to complex in-service part geometries, which makes predicting full part performance based on the results of fatigue testi”
Review of Powder Bed Fusion Additive Manufacturing for Metals (2021, background): “[180] showed a lower HCF life for laser-processed Inconel 718 alloy compared to that of its wrought counterpart as a result of the defects such as un-melted powder and void formed during the AM process.”