An experimental approach for predicting vat photopolymerization debinding cracks using machine learning
Vat photopolymerization debinding exhibits complex behavior depending on layer-by-layer deposition, scraping, lasing conditions, anisotropy of shrinkage, polymer decomposition, and shape thickness environments, making debinding cracks difficult to predict through conventional modeling approaches. On...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2026-09-01
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| Col·lecció: | Open Ceramics |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2666539526001069 |
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