A U-Net Based Approach for Automating Tribological Experiments

Tribological experiments (i.e., characterizing the friction and wear behavior of materials) are crucial for determining their potential areas of application. Automating such tests could hence help speed up the development of novel materials and coatings. Here, we utilize convolutional neural network...

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Detalles Bibliográficos
Autores principales: Staar, Benjamin, Bayrak, Suleyman, Paulkowski, Dominik, Freitag, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700163/
https://www.ncbi.nlm.nih.gov/pubmed/33238554
http://dx.doi.org/10.3390/s20226703

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700163/
https://www.ncbi.nlm.nih.gov/pubmed/33238554
http://dx.doi.org/10.3390/s20226703

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