Optimization of milling parameters using Taguchi and ANOVA methods
DOI:
https://doi.org/10.14488/1676-1901.v22i4.4858Keywords:
Milling, Roughness, DOE, Taguchi methodAbstract
The milling process consists of removing excess metal from the surface of a part. Improving the performance of the milling process intrinsically depends on the reduction of variability in the critical quality characteristics defined for the products. The method is based on the design of experiments, using orthogonal matrices and statistical data analysis. According to the characteristics and purpose of the experiment, the equation used to determine the S/N was the lowest best. The objective of the experiment was to find a combination of milling parameters to achieve low roughness on the workpiece. Analyzed the interference of cutting parameters ap, fz, ae and vc in obtaining roughness and cutting force. For the results of roughness and resultant strength, no interaction was significant. As roughness is one of the customer's requirements, the best combination for roughness was analyzed. The best combination had a tooth feed (fz) at 0.05 (mm/tooth) and the depth of cut (ap) at 1.125 (mm).
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