Generation and Analysis of AlSi10Mg L-PBF Single Track Data Set Enabling Deeper Process Insights

The stability of the melt pool in Laser Powder Bed Fusion (L-PBF), especially with process perturbations, is a key factor underpinning the success of additively manufactured components. In metal Additive Manufacturing (AM), single tracks are widely used to verify and validate simulation and process models. This work describes the creation of a holistic L-PBF single track data set incorporating a large domain of process conditions for AlSi10Mg. The 352 single tracks are characterized through a series of high throughput methods including white light interferometry, automated microstructure analysis, and in-situ high-frequency (up to 200 kHz) coaxial melt pool monitoring. This data constitutes a large database of process parameters, high- resolution measurements, and geometry information for data driven analysis, including machine learning. In one approach this data is used to correlate track shape and melt pool characteristics to in-situ measurements.Mechanical Engineerin