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STADISTICAL MODELING OF SURFACE ROUGHNESS IN MACHINING OF TI 6AL 4V ALLOY | |
Pedro Pérez Villanueva | |
Acceso Abierto | |
Atribución-NoComercial-SinDerivadas | |
SURFACE ROUGHNESS | |
The objective of this work is to present a methodology to predict the roughness during the machining process of the Ti 6Al 4V, with a linear regression model, when multicollinearity is present in a set of the regression variables, the least square estimate of the regression coefficient tends to be unstable and it may lead to erroneous inference, in this paper generalized ridge estimate β(K) of the regression coefficient β to solve it problem; the surface of titanium alloy is easily damaged during machining operations due to their poor machinability, considering the parameters of speed rate, feed and depth as an input and compare the results. The data used for this paper was taken from conduce work in Faculty laboratories and determine the best parameters for the machining of titanium alloy 6AL-4V and considering optimize the roughness at the time of the machining of this material, using milling process in a rectangular pieces of titanium (Ti 6Al4V), the tool was an endmill coated with Aluminum Titanium Nitride (AlTiN) with 4 cutting edge and 3/8" on a diameter of the tool. The milling was carried out over a length of 47 mm, using a design of experiment with 3 factors and 3 levels, giving a total of 27 experiments with 3 different tests. The roughness was measure with a ZEISS Perfilometers Surfcom 1500 SD2 with an automatic control. The model is useful to build a surface of the response of the machining process. This model can be used to predict the effect in roughness when the parameters are changed without risks and high costs; however, the model must be validated in order to be used as a predictor. The results indicate the ways to get a good model and established regression equation | |
2010 | |
Artículo | |
Inglés | |
Estudiantes Investigadores | |
STADISTICAL MODELING OF SURFACE ROUGHNESS IN MACHINING OF TI 6AL 4V ALLOY I. Escamilla, L. Torres, B. Gonzalez, P. Zambrano, P. Perez | |
INGENIERÍA Y TECNOLOGÍA | |
Versión publicada | |
publishedVersion - Versión publicada | |
Aparece en las colecciones: | ARTÍCULOS/ CAPÍTULOS DE LIBRO / MEMORIAS DE CONGRESO |
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2010-STADISTICAL MODELING-IJIE.pdf | STADISTICAL MODELING OF SURFACE ROUGHNESS IN MACHINING OF TI 6AL 4V ALLOY I. Escamilla, L. Torres, B. Gonzalez, P. Zambrano, P. Perez | 137.01 kB | Adobe PDF | Visualizar/Abrir |