Real-time In-situ Pyrometry and Emission Analytics in Laser Powder Bed Fusion

Abstract

Real-time process monitoring is the enabling tool for process stability for laser powder bed fusion. Massive noisy data are often ingested due to laser resetting, skywriting, and process dynamics in emerging monitoring techniques such as pyrometry. However, data curation of the big raw data imposes a daunting task for process analytics and data-driven models. This work develops a systematic and physics-guided curation workflow. Then, pyrometry analytics has been established to correlate process conditions (e.g., scanning vectors, energy density, and part orientation) and radiation intensity.