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Melt pool (MP) temperature is one of the determining factors and keysignatures for the properties of printed components during metal additivemanufacturing (AM). The state-of-the art measurement systems are hindered byboth the equipment cost and the large-scale data acquisition and processingdemands. In this work, we introduce a novel coaxial high-speed single-cameratwo-wavelength imaging pyrometer (STWIP) system as opposed to the typicalutilization of multiple cameras for measuring MP temperature profiles through alaser powder bed fusion (LPBF) process. Developed on a commercial LPBF machine(EOS M290), the STWIP system is demonstrated to be able to quantitativelymonitor MP temperature and variation for 50 layers at high framerates (> 30,000fps) during a print of five standard fatigue specimens. High performancecomputing is employed to analyze the acquired big data of MP images fordetermining each MPs average temperature and 2D temperature profile. The MPtemperature evolution in the gage section of a fatigue specimen is alsoexamined at a temporal resolution of 1ms by evaluating the derived MPtemperatures of the printed samples first, middle and last layers. This paperis first of its kind on monitoring MP temperature distribution and evolution atsuch a large, detailed scale for longer durations in practical applications.Future work includes MP registration and machine learning of MP-Part Propertyrelations.

journal of manufacturing processes

Single-camera Two-Wavelength Imaging Pyrometry for Melt Pool Temperature  Measurement and Monitoring in Laser Powder Bed Fusion based Additive  Manufacturing