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Comparison of two methods for pbkp_redicting surface roughness in turning stainless steel AISI 316L
ArticleAbstract: The present study aimed to explore various models to pbkp_redict the surface roughness in dry turninPalabras claves:AISI 316L stainless steel, Analysis of regression, Artificial Neural Network, Dry turning, surface roughnessAutores:Héctor C. Terán, Kimberly Magaly López Cedeño, López Bustamante R.J., Morales Tamayo Y., Roberto Félix Beltrán Reyna, Yusimit Zamora, Zamora Hernández Y.Fuentes:googlescopusDesgaste de la herramienta de corte en el torneado en seco del acero AISI 316L
OtherAbstract: El presente estudio experimental se centra en determinar modelos estadísticos para predecir el desgaPalabras claves:Autores:Kimberly Magaly López Cedeño, Ringo John López Bustamante, Roberto Félix Beltrán Reyna, Yoandrys Morales Tamayo, Yusimit Zamora, Yusimit Zamora HernándezFuentes:googlerraaeTurning performance analysis using coefficient of tool life in relation to the volume of removed material
ArticleAbstract: The austenitic stainless steels are difficult material to machine due to their high strength, high dPalabras claves:Flank wear, High speed turning, Stainless steel AISI 316L, Variance and regressions analysis, Volume of the cut metalAutores:Morales Tamayo Y., Roberto Félix Beltrán Reyna, Zambrano Robledo P.D.C., Zamora Hernández Y.Fuentes:scopus