Mostrando 3 resultados de: 3
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:googlescopusMathematical modeling of the load correction coefficient of the lateritic of hydromixtures pumping<sup>1</sup>
ArticleAbstract: The purpose of the present research was to determine the correction coefficient behavior of the charPalabras claves:Centrifugal Pump, Mathematical models correction coefficient, Non-newtonian fluidsAutores:Hernández-Ramírez G., León-Segovia M.Á., Roberto Félix Beltrán Reyna, Salazar E.P., Tarragó J.C.P.Fuentes:scopusTurning 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