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Prediction of Tool Wear Using Artificial Neural Networks during Turning of Hardened Steel
The ability to effectively predict tool wear during machining is an extremely important part of diagnostics that results in changing the tool at the relevant time. Effective assessment of the rate of tool wear increases the efficiency of the process and makes it possible to replace the tool before c...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6804216/ https://www.ncbi.nlm.nih.gov/pubmed/31546732 http://dx.doi.org/10.3390/ma12193091 |