Combining synchrotron X-ray diffraction, mechanistic modeling and machine learning for in situ subsurface temperature quantification during laser melting

Combining synchrotron X-ray diffraction, mechanistic modeling and machine learning for in situ subsurface temperature quantification during laser melting

© Rachel E. Lim et al. 2023.

Bibliographische Detailangaben
Veröffentlicht in:Journal of applied crystallography. - 1998. - 56(2023), Pt 4 vom: 01. Aug., Seite 1131-1143
1. Verfasser: Lim, Rachel E (VerfasserIn)
Weitere Verfasser: Mukherjee, Tuhin, Chuang, Chihpin, Phan, Thien Q, DebRoy, Tarasankar, Pagan, Darren C
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:Journal of applied crystallography
Schlagworte:Journal Article Gaussian process regression additive manufacturing elastic strains heat-transfer and fluid-flow modeling laser melting machine learning superalloys synchrotron X-ray diffraction temperature-distribution metrics thermomechanical stress
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