Parameter Identification of Cutting Forces in Crankshaft Grinding Using Artificial Neural Networks

The intensifying of the manufacturing process and increasing the efficiency of production planning of precise and non-rigid parts, mainly crankshafts, are the first-priority task in modern manufacturing. The use of various methods for controlling the cutting force under cylindrical infeed grinding a...

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Detalles Bibliográficos
Autores principales: Pavlenko, Ivan, Saga, Milan, Kuric, Ivan, Kotliar, Alexey, Basova, Yevheniia, Trojanowska, Justyna, Ivanov, Vitalii
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728348/
https://www.ncbi.nlm.nih.gov/pubmed/33255880
http://dx.doi.org/10.3390/ma13235357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728348/
https://www.ncbi.nlm.nih.gov/pubmed/33255880
http://dx.doi.org/10.3390/ma13235357

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