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- W105592565 abstract "Currently the roughness is a variable of great importance on the quality of the products and on the manufacturing programming process. The aim of this work is to present a methodology for predicting the roughness (Ra) obtained from the machining of the Ti-6Al-4V, with a given confi dence interval, and compare this results with an Artifi cial Neural Network (ANN), considering the cutting speed, feed and depth as input variables. Machining tests were carried out using and carbide insert covered with PVD (TiAlN)." @default.
- W105592565 created "2016-06-24" @default.
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- W105592565 date "2009-01-01" @default.
- W105592565 modified "2023-09-24" @default.
- W105592565 title "Predicción de rugosidad en maquinado de aleación de Ti-6Al-4V usando redes neuronales" @default.
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