Machine learning-aided real-time detection of keyhole pore generation in laser powder bed fusion
Porosity defects are currently a major factor that hinders the widespread adoption of laser-based metal additive manufacturing technologies. One common porosity occurs when an unstable vapor depression zone (keyhole) forms because of excess laser energy input. With simultaneous high-speed synchrotro...
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| Published in: | Science (American Association for the Advancement of Science) Vol. 379; no. 6627; p. 89 |
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| Main Authors: | , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
06.01.2023
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| ISSN: | 1095-9203, 1095-9203 |
| Online Access: | Get more information |
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