DATASET from "Spatially weighted PCA for monitoring video image data with application to additive manufacturing" by B.M.Colosimo and M. Grasso, JQT 2018

The dataset includes three ".avi" videos acquired during the Laser Powder Bed Fusion (LPBF), a.k.a. Selective Laser Melting (SLM), of an AISI 316 part on a Renishaw AM250 system.

The videos were acquired by means of an OlympusTM I-speed 3 camera (CMOS sensor) placed outside the build chamber viewport (sampling frequency of 300 fps).

The three videos are representative of out-of-control conditions, where hot-spot events occurred during the process in correspondence of acute corners belonging to overhang areas of the part.

A hot-spot phenomenon consists of a local over-heating of the layer caused by out-of-control heat exchanges, which may produce internal and geometrical defects in the final product.

The goal of an in-situ monitoring methodology based on high-speed video imaging consists of signalling the hot-spot onset as soon as possble during the process.

All the details about the dataset can be found in:

Colosimo, B.M., Grasso, M. (2018). Spatially weighted PCA for monitoring video image data with application to additive manufacturing. Journal of Quality Technology, 50(4), 391-417.

Grasso M., Laguzza V., Semeraro Q., Colosimo B.M., (2017), In-process Monitoring of Selective Laser Melting: Spatial Detection of Defects via Image Data Analysis, Journal of Manufacturing Science and Engineering, 139(5), 051001-1 - 051001-16.