Application of Artificial Intelligence for Surface Roughness Prediction of Additively Manufactured Components

Additive manufacturing has gained significant popularity from a manufacturing perspective due to its potential for improving production efficiency. However, ensuring consistent product quality within predetermined equipment, cost, and time constraints remains a persistent challenge. Surface roughnes...

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Detalles Bibliográficos
Autores principales: Batu, Temesgen, Lemu, Hirpa G., Shimels, Hailu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532807/
https://www.ncbi.nlm.nih.gov/pubmed/37763543
http://dx.doi.org/10.3390/ma16186266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532807/
https://www.ncbi.nlm.nih.gov/pubmed/37763543
http://dx.doi.org/10.3390/ma16186266

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