Mean Square Error and Robust Parameter Design optimization of surface roughness Al7075 helical milling process

Aline Cunha Alvim¹; Robson Bruno Dutra Pereira¹; João Roberto Ferreira²; Anderson Paulo de Paiva²; Frederico Ozanan Neves¹

¹ Universidade Federal de São João del Rei; ² Universidade Federal de Itajubá

doi:10.20906/CPS/COB-2015-0466

Resumo

This paper aims to optimize the mean square error of surface roughness Al7075 helical milling process. Experiments of helical milling were conducted considering process and noise parameters, in order to obtain a robust parameter design of surface roughness Ra. The process parameter considered were the axial feed per tooth, tangential feed per tooth and cutting velocity. The noise parameter was the tool lenght, once in molds and dies's machining the dimensional and surface quality are the most affected outcomes due the necessity of using excessive tool overhang lenght. Through of the response model , considering process and noise parameters, the models for mean and variance of roughness surface were obtained. Using these models, the mean square error optimization, considering experimental region, were realized to obtain the optimal levels of process parameters with robustness in relation to noise.

Palavras-chave: helical milling; machining force component Fz; robust parameter design; dual response surface; normal boundary intersection approach