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Tool Wear Prediction Based on Artificial Neural Network during Aluminum Matrix Composite Milling (†)
This article deals with the phenomenon of tool wear prediction in face milling of aluminum matrix composite materials (AMC), class as hard-to-cut materials. Artificial neural networks (ANN) are one of the tools used to predict tool wear or surface roughness in machining. Model development is applica...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602040/ https://www.ncbi.nlm.nih.gov/pubmed/33066308 http://dx.doi.org/10.3390/s20205798 |