Parameters Optimization of CNC Machining using Taguchi Methodology

Abstract

Metal cutting operations still represent the largest class of manufacturing operations where turning is the most commonly employed material removal process and there are lots of studies to investigate this complex process in both academic and industrial world. Predicting the better cutting condition during turning is of great importance as it helps in getting the Surfaces quality before machining starts. The major indication of surfaces quality on machined parts is surface roughness. Again, optimization of cutting parameters is one of the most important elements in any process planning of metal parts as economy of machining operation plays a key role in gaining competitive advantage. Control parameters being consider in this thesis are spindle speed, feed rate and depth of cut. After experimentally turning sample work pieces using the selected orthogonal array and parameters, this study expected to produce an optimum combination of controlled parameter for the surface roughness. In this work, Taguchi Design is used to identify the optimal combination of turning parameters to minimize the surface roughness. Turning experiments are carried out according to Taguchi orthogonal array L9 for various combinationsof three parameters: cutting speed, feed rate, and depth of cut. For each experiment run, the surface roughness Ra and time is measured, recorded and analysed using Taguchi method.

Al-7075 Malzemenin CNC Frezelenmesinde İşlem Parametrelerinin Yüzey Pürüzlülüğüne ve Kesme Enerjisine Etkisinin Optimizasyonu

“…For the optimization process, they have adopted the combined approach of the L27 vertical sequence based simulated angling algorithm. Bhosale et al [25] conducted experiments using the L9 Taguchi orthogonal array, selecting three different parameters to achieve optimal surface roughness in the turning process. Kumar et al [26] Traditional experimental design is difficult to use, especially when dealing with a large number of experiments and when the number of processing parameters increases.…”