Machine learning to determine the main factors affecting creep rates in laser powder bed fusion

There is an increasing need for the use of additive manufacturing (AM) to produce improved critical application engineering components. However, the materials manufactured using AM perform well below their traditionally manufactured counterparts, particularly for creep and fatigue. Research has show...

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Detalles Bibliográficos
Autores principales: Sanchez, Salomé, Rengasamy, Divish, Hyde, Christopher J., Figueredo, Grazziela P., Rothwell, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550259/
https://www.ncbi.nlm.nih.gov/pubmed/34720456
http://dx.doi.org/10.1007/s10845-021-01785-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550259/
https://www.ncbi.nlm.nih.gov/pubmed/34720456
http://dx.doi.org/10.1007/s10845-021-01785-0

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