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- W2089644330 abstract "The surface quality is one of the most careful elements in the manufacture of parts in various industrial fields such as aeronautics and automotive. Often the surface quality is estimated according to the surface roughness (Ra) and depends largely on the combination of factors in machining. Works that incorporate techniques to the study of Ra Soft computing in-process or post-processing are relatively common in the literature, however, are almost non existent in this study devoted to pre-process, although this can help reduce costs associated the estimate of surface quality, etc.. This paper presents a technique to generate a model Soft computing pre-Ra predictive process based on experimentation with different characteristics of the milling process at high speed. The prediction model is a Bayesian classifier, validated the method with k-fold cross-validation." @default.
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- W2089644330 date "2011-01-01" @default.
- W2089644330 modified "2023-09-25" @default.
- W2089644330 title "Modelo Pre-Proceso de predicción de la Calidad Superficial en Fresado a Alta Velocidad basado en Softcomputing" @default.
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- W2089644330 doi "https://doi.org/10.1016/s1697-7912(11)70006-1" @default.
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