Identification of grain boundary crossing in pulsed laser ultrasound signals by use of machine learning

Anthony J. Manzo; Celeste A. Manughian-Peter; Paul M. Adams; Andrew Brethorst; Henry Helvajian

doi:10.1117/12.2614947

1 April 2022 Identification of grain boundary crossing in pulsed laser ultrasound signals by use of machine learning

Anthony J. Manzo, Celeste A. Manughian-Peter, Paul M. Adams, Andrew Brethorst, Henry Helvajian

Proceedings Volume PC11992, Laser 3D Manufacturing IX; PC119920I (2022) https://doi.org/10.1117/12.2614947
Event: SPIE LASE, 2022, San Francisco, California, United States

Abstract

Identification of grain boundary crossing in aluminum samples by use of machine learning algorithms on pulsed laser ultrasound signals

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Anthony J. Manzo, Celeste A. Manughian-Peter, Paul M. Adams, Andrew Brethorst, and Henry Helvajian "Identification of grain boundary crossing in pulsed laser ultrasound signals by use of machine learning", Proc. SPIE PC11992, Laser 3D Manufacturing IX, PC119920I (1 April 2022); https://doi.org/10.1117/12.2614947

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KEYWORDS

Additive manufacturing

Machine learning

Pulsed laser operation

Ultrasonography

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