Parametrización predictiva del acabado superficial en el fresado convexo mediante la aplicación de los métodos estadísticos Taguchi - ANOVA en el acero M201

Abstract

In the present investigation, the methods and techniques used in convex milling for the optimization of surface roughness in M201 steel are disclosed, based on the experimental results of the investigation [1]: Roughness analysis of a convex surface in function of machining parameters and strategies for AISI 420 steel. The factors that will be used respectively for the analysis were three: (A) the concentric zigzag, zigzag and radial zigzag machining strategies, (B) the cutting speeds 100, 85 and 70 m / min and (C) the feed per tooth of 0.005, 0.10 and 0.15 mm / tooth. Once the theoretical results have been obtained through the probabilistic distributions and have been validated by means of the Kolmogorov - Smirnov statistical test; The Taguchi statistical method was continued, with its respective L27 orthogonal arrangement. It should be mentioned that, in the aforementioned arrangement, the factors maintained an interaction (A · B), (A · C) and (B · C), allowing the analysis to increase its robustness. The modeled equations were obtained through the use of multilinear regressions. In addition, the variables that directly influenced the roughness of the M201 steel, according to the ANOVA analysis were: 1) the machining strategies with 92, 47%, 2) the cutting speeds with 0.8584% and 3) the advances per tooth with 1,241%. Being the machining strategies the most relevant and influential in convex machining. In the comparisons of the means from the data generated by means of statistical distributions, it could be seen that the optimal cutting parameters for M201 steel are: the radial zigzag machining strategy, a Vc of 70 m / min and a fz of 0.05 mm / tooth. A theoretical roughness result of 1,772 μm with a tolerance of ± 0.5238 μm was obtained.