Laser powder bed fusion (LBPF) is the additive manufacturing (3D printing) process for metals. RAISE-LPBF is a large dataset on the effect of laser power and laser dot speed in 316L stainless steel bulk material. Both process parameters are independently sampled for each scan line from a continuous distribution, so interactions of different parameter choices can be investigated. Process monitoring comprises on-axis high-speed (20k FPS) video. The data can be used to derive statistical properties of LPBF, as well as to build anomaly detectors.
RAISE-LPBF-Laser is the machine learning benchmark to reconstruct the laser parameters of the RAISE-LBPF dataset.
Paper: https://doi.org/10.1016/j.addlet.2023.100161
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