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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Detalles Bibliográficos
Autores principales: Chen, Yingyan, Wang, Hongze, Wu, Yi, Wang, Haowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698234/
https://www.ncbi.nlm.nih.gov/pubmed/33182718
http://dx.doi.org/10.3390/ma13225063

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698234/
https://www.ncbi.nlm.nih.gov/pubmed/33182718
http://dx.doi.org/10.3390/ma13225063

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