Unsupervised learning of part similarity for goal-guided accelerated experiment design in metal additive manufacturing
Metal additive manufacturing (AM) is gaining broad interest and increasing use in the industrial and academic fields. However, the quantification and commercialization of standard parts usually require extensive experiments and expensive post-characterization, which impedes the rapid development and...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
ELSPublishing
2024-05-01
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| Series: | Advanced Manufacturing |
| Subjects: | |
| Online Access: | https://elsp-homepage.oss-cn-hongkong.aliyuncs.compaper/journal/open/AM/2024/am20240006-publish-1.pdf |
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