The selection of process parameters in additive manufacturing for aerospace alloys

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A Review of Metal Additive Manufacturing Technologies (2018, background): “few studies illustrated the selection of the process parameters for fabricating dense parts from Invar 36 (UNS K93600) [21, 105].”
High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach (2019, background): “The laser powder bed fusion (L-PBF) process, for example, is associated with a large number of adjustable parameters such as the laser power, scan speed, layer thickness and hatch strategies [5-7].”
Corrosion performance of additively manufactured stainless steel parts: A review (2020, background): “The high energy associated with the AM process causes the vaporization of some powder particles or coverts them into soot, and also cause microsegregation in the elemental distribution of the printed part [274,275].”