OPTIMIZATION OF MILLING OPERATION USING COMBINED GREY TAGUCHI RELATIONAL METHOD AND ANOVA
Keywords:
Milling, Taguchi Method, ANOVA, Grey Relational Analysis, Normalization, Grey Relational Grade, Grey Relational Co-efficientAbstract
In the present study, optimization of process parameters on milling machine is carried out using a combination of Taguchi method and grey relational analysis method. Speed, feed and depth of cut are taken as input process parameters and cutting force, torque and power are selected as the target values. All the three input parameters are taken at four different levels and sixteen experimental runs are performed based on L16 orthogonal array of Taguchi method. An optimum parameter combination is obtained using Grey relational analysis method. By analyzing the grey relational grade matrix, the degree of influence for each controllable process parameter onto individual target value can be found. Based on the relatively new combined Taguchi and Grey relational approach, it is found that feed has maximum influence on the target characteristics. Analysis of Variance (ANOVA) is also applied to identify the most significant factor.
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