TY - GEN
T1 - Layer-Wise Melt Pool Temperature Evolution in Laser Powder Bed Fusion
T2 - ASME 2022 17th International Manufacturing Science and Engineering Conference, MSEC 2022
AU - Vallabh, Chaitanya Krishna Prasad
AU - Hinnebusch, Shawn
AU - To, Albert C.
AU - Zhao, Xiayun
N1 - Publisher Copyright:
© Proceedings of ASME 2022 17th International Manufacturing Science and Engineering Conference, MSEC 2022.
PY - 2022
Y1 - 2022
N2 - In metal additive manufacturing (AM) the layer-wise thermal history is crucial for its effect on the print part properties, such as, microstructure, porosity, and mechanical strength. Literature studies for evaluating the part thermal history are typically based on in-situ infrared thermography and thermal modeling. However, the effect of melt pool temperature on the part thermal history has not been widely studied. In this preliminary work, for the first time we present a large and comprehensive in-situ monitored, layer-wise melt pool temperature evolution data for laser powder bed fusion (LPBF) AM. The melt pool temperature is evaluated using an in-house Single Camera Two-Wavelength Imaging Pyrometry (STWIP) system. The melt pool temperature evolution was evaluated for three different prints with different inter-layer-Times and print heights. The melt pool temperature history trends presented in this work are in agreement with literature studies on partthermal histories. The LPBF process signatures from our STWIP system can help develop more accurate thermal models with the melt pool temperature as the input and the unique capability of the STWIP system to acquire and analyze large amounts data facilitates the development of machine learning models for estimating part properties based on the process signatures.
AB - In metal additive manufacturing (AM) the layer-wise thermal history is crucial for its effect on the print part properties, such as, microstructure, porosity, and mechanical strength. Literature studies for evaluating the part thermal history are typically based on in-situ infrared thermography and thermal modeling. However, the effect of melt pool temperature on the part thermal history has not been widely studied. In this preliminary work, for the first time we present a large and comprehensive in-situ monitored, layer-wise melt pool temperature evolution data for laser powder bed fusion (LPBF) AM. The melt pool temperature is evaluated using an in-house Single Camera Two-Wavelength Imaging Pyrometry (STWIP) system. The melt pool temperature evolution was evaluated for three different prints with different inter-layer-Times and print heights. The melt pool temperature history trends presented in this work are in agreement with literature studies on partthermal histories. The LPBF process signatures from our STWIP system can help develop more accurate thermal models with the melt pool temperature as the input and the unique capability of the STWIP system to acquire and analyze large amounts data facilitates the development of machine learning models for estimating part properties based on the process signatures.
KW - In-situ coaxial monitoring
KW - Laser Powder Bed Fusion
KW - Melt pool temperature
KW - Two-wavelength imaging pyrometry
UR - http://www.scopus.com/inward/record.url?scp=85140960590&partnerID=8YFLogxK
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U2 - 10.1115/MSEC2022-85387
DO - 10.1115/MSEC2022-85387
M3 - Conference contribution
AN - SCOPUS:85140960590
T3 - Proceedings of ASME 2022 17th International Manufacturing Science and Engineering Conference, MSEC 2022
BT - Manufacturing Processes; Manufacturing Systems
Y2 - 27 June 2022 through 1 July 2022
ER -