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Christian Gobert
Christian Gobert
Sentient Science
Verified email at alumni.cmu.edu
Title
Cited by
Cited by
Year
Application of supervised machine learning for defect detection during metallic powder bed fusion additive manufacturing using high resolution imaging.
C Gobert, EW Reutzel, J Petrich, AR Nassar, S Phoha
Additive Manufacturing 21, 517-528, 2018
4402018
Porosity segmentation in X-ray computed tomography scans of metal additively manufactured specimens with machine learning
C Gobert, A Kudzal, J Sietins, C Mock, J Sun, B McWilliams
Additive Manufacturing 36, 101460, 2020
512020
Machine learning for defect detection for PBFAM using high resolution layerwise imaging coupled with post-build CT scans
J Petrich, C Gobert, S Phoha, AR Nassar, EW Reutzel
University of Texas at Austin, 2017
462017
Application of supervised machine learning for defect detection during metallic powder bed fusion additive manufacturing using high resolution imaging, Addit. Manuf. 21 (2018 …
C Gobert, EW Reutzel, J Petrich, AR Nassar, S Phoha
17
Process qualification of laser powder bed fusion based on processing-defect structure-fatigue properties in Ti-6Al-4V
SP Narra, AD Rollett, A Ngo, D Scannapieco, M Shahabi, T Reddy, ...
Journal of Materials Processing Technology 311, 117775, 2023
152023
Where is the machine looking? Locating discriminative light-scattering features by class-activation mapping
P Piedra, C Gobert, A Kalume, YL Pan, M Kocifaj, K Muinonen, A Penttilä, ...
Journal of Quantitative Spectroscopy and Radiative Transfer 247, 106936, 2020
122020
Conditional generative adversarial networks for in-situ layerwise additive manufacturing data
C Gobert, E Arrieta, A Belmontes, BR Wicker, F Medina, B McWilliams
Proceeding of the 29th international Solid Freeform Fabrication Symposium, 2019
112019
Online discontinuity detection in metallic powder bed fusion additive manufacturing processes using visual inspection sensors and supervised machine learning
CJ Gobert
32017
Inference of highly time-resolved melt pool visual characteristics and spatially-dependent lack-of-fusion defects in laser powder bed fusion using acoustic and thermal emission …
H Liu, C Gobert, K Ferguson, B Abranovic, H Chen, JL Beuth, AD Rollett, ...
Additive Manufacturing, 104057, 2024
12024
Inference of Highly Time-resolved Melt Pool Visual Characteristics in Laser Powder Bed Fusion from Acoustic and Thermal Emission Data
H Liu, C Gobert, K Ferguson, B Abranovic, H Chen, JL Beuth, AD Rollett, ...
arXiv preprint arXiv:2310.05289, 2023
12023
Process Development in Laser Powder Bed Fusion at the Melt Pool Scale
C Gobert
Carnegie Mellon University, 2023
2023
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