GREY RELATIONAL MULTI-PARAMETRIC TAGUCHI BASED OPTIMIZATION OF THE PROCESS PARAMETERS IN ALUMINIUM FACE MILLING
For investigation of a process parameter effect for a given set of factor values in this paper grey relational analysis is used. In order to find multi-parametric optimization of arithmetical mean deviation of the assessed profile as the surface roughness characteristic and for the material removal rate, the grey relational analysis is implemented. The analysis combined with Taguchi methods and based on the L9 orthogonal array experimental design was used. Obtaining the insight into the characteristics of the process, even with a smaller number of experimental runs by utilization of these methods is allowed. In terms of the machining process and material, the face milling for pure aluminium is performed. The machining of the workpiece through the different combination of settings for the spindle speed, feed and depth of cutting, as the main parameters, was performed