Resumen

VARGAS HENRIQUEZ, Lisandro; PEDRAZA YAPES, Cristian; DEVIA ACOSTA, Carolina  y  MARTINEZ MARRUGO, Cindy. Development of Predictive Model for Surface Quality in Turning Process for High Strength Steels. Prospect. [online]. 2014, vol.12, n.1, pp.55-63. ISSN 1692-8261.  https://doi.org/10.15665/rp.v12i1.151.

The surface quality is a performance indicator which has an effect on the acceptance or rejection of a finished product. If a finished product does not fulfill the final surface conditions established by the costumer it is consider as a guarantee for the costs in the cutting process of metals. Those costs are the results from big amounts of waste material, rework, and extra time, among others. This article shows a study about the influence of cutting parameters in the surface quality regarding the steel cylindrical turning process. The experimental job has been developed due to the control in the machining process and establishing constants values for the speed, advance and depth of cut parameters. Statistics techniques like analysis of variance (ANOVA) and the response surface methodology are used in order to establish the dependence degree between final state and the cutting parameters. That relationship between those parameters is used for the construction of a model in order to predict the surface roughness and calculating the optimal combination of the factors under study, achieving in that way that the dimensional specifications during the pieces design can be fulfilled.

Palabras clave : Surface quality; Cutting Parameters; Turning Process; Analysis of Variance (ANOVA); Response Surface Methodology RSM.

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