The present study highlights a multi objective optimization problem by applying the Principal components analysis methodcoupled with the Taguchi method through a study of CNC endmilling of 6061-T4 Aluminium. The study is aimed at evaluatingthe best process parameters which could simultaneously provide multiple requirements of surface quality. In the present work individual response correlations have been eliminated first by means of Principal components Analysis (PCA). Principal components are found out which are independent quality indices.The principal component having the highest accountability proportion is considered as the objective function. Finally the taguchi method has been used to solve this objective function. In the current paper two surface roughness parameters have been taken into consideration
|Journal||International Journal of Research in Mechanical Engineering and Technology|
|Publication status||Published - 2013|
- Principal Component Analysis
Nair, A., & Puthumana, G. (2013). Multiple surface roughness characteristics optimization in CNC end milling of Aluminium using PCA. International Journal of Research in Mechanical Engineering and Technology, 3(2), 17-21.