Machine Learning-Enabled Quantitative Analysis of Optically Obscure Scratches on Nickel-Plated Additively Manufactured (AM) Samples

Additively manufactured metal components often have rough and uneven surfaces, necessitating post-processing and surface polishing. Hardness is a critical characteristic that affects overall component properties, including wear. This study employed K-means unsupervised machine learning to explore th...

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Detalles Bibliográficos
Autores principales: Mengesha, Betelhiem N., Grizzle, Andrew C., Demisse, Wondwosen, Klein, Kate L., Elliott, Amy, Tyagi, Pawan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532521/
https://www.ncbi.nlm.nih.gov/pubmed/37763580
http://dx.doi.org/10.3390/ma16186301

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532521/
https://www.ncbi.nlm.nih.gov/pubmed/37763580
http://dx.doi.org/10.3390/ma16186301

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