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Dive into the research topics where David Corbin is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Mitigating voids in AM: re-melt and parameter adjustment strategies
Cummings, C. M., Corbin, D. J., Reutzel, E. W., Keist, J. S., Overdorff, R. & Nassar, A. R., Jan 2025, In: International Journal of Advanced Manufacturing Technology. 136, 3, p. 1545-1560 16 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Scopus citations -
Resonant Ultrasonic Testing can Quantitatively Assess the Microscopic Porosity of Complex-Shaped Additively Manufactured AlSi10Mg Components
Skiadopoulos, M., Prato, D. J., Bozek, E. P., Dickman, C. J., Reutzel, E. W., Corbin, D. J. & Shokouhi, P., Jun 2024, In: Journal of Nondestructive Evaluation. 43, 2, 41.Research output: Contribution to journal › Article › peer-review
5 Link opens in a new tab Scopus citations -
Flaw Detection in Multi-Laser Powder Bed Fusion Using in Situ Coaxial Multi-Spectral Sensing and Deep Learning
Surana, A., Lynch, M. E., Nassar, A. R., Ojard, G. C., Fisher, B. A., Corbin, D. & Overdorff, R., May 1 2023, In: Journal of Manufacturing Science and Engineering. 145, 5, 051003.Research output: Contribution to journal › Article › peer-review
12 Link opens in a new tab Scopus citations -
Resilience of laser powder bed fusion additive manufacturing to programmatically induced laser power anomalies
Cummings, C., Corbin, D. J., Reutzel, E. W. & Nassar, A. R., Aug 1 2023, In: Journal of Laser Applications. 35, 3, 032005.Research output: Contribution to journal › Article › peer-review
9 Link opens in a new tab Scopus citations -
Multi-modal sensor fusion with machine learning for data-driven process monitoring for additive manufacturing
Petrich, J., Snow, Z., Corbin, D. & Reutzel, E. W., Dec 2021, In: Additive Manufacturing. 48, 102364.Research output: Contribution to journal › Article › peer-review
136 Link opens in a new tab Scopus citations