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Predicting the Printability in Selective Laser Melting with a Supervised Machine Learning Method
Though selective laser melting (SLM) has a rapidly increasing market these years, the quality of the SLM-fabricated part is extremely dependent on the process parameters. However, the current metallographic examination method to find the parameter window is time-consuming and involves subjective ass...
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| Udgivet i: | Materials (Basel) |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7698234/ https://ncbi.nlm.nih.gov/pubmed/33182718 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ma13225063 |
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