Wear Mechanism Classification Using Artificial Intelligence

Understanding the acting wear mechanisms in many cases is key to predicting lifetime, developing models describing component behavior, or for the improvement of the performance of components under tribological loading. Conventionally scanning electron microscopy (SEM) and sometimes additional analyt...

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Detalles Bibliográficos
Autores principales: Sieberg, Philipp Maximilian, Kurtulan, Dzhem, Hanke, Stefanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8999781/
https://www.ncbi.nlm.nih.gov/pubmed/35407692
http://dx.doi.org/10.3390/ma15072358

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8999781/
https://www.ncbi.nlm.nih.gov/pubmed/35407692
http://dx.doi.org/10.3390/ma15072358

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