Research Article

Statistical Modelling to Study the Implications of Coated Tools for Machining AA 2014 Using Grey Taguchi-Based Response Surface Methodology

Table 18

ANOVA to investigate the input factor contribution for milling AA 2014.

SourceDFAdj. SSAdj. MSF-valueP-value% contributionRemarks

Model70.2222950.03175647.400.111
 Linear30.2157350.071912107.340.07197.05Significant
  Speed10.1786410.178641266.660.03980.36Significant
  DOC10.0060040.0060048.960.2052.70Less significant
  Tool10.0310900.03109046.410.09313.99Significant
 Square30.0056570.0018862.810.4072.54Insignificant
  Speed  Speed10.0002620.0002620.390.6440.118Insignificant
  DOC  DOC10.0048020.0048027.170.2282.16Insignificant
  Tool  Tool10.0005930.0005930.890.5190.267Insignificant
2-Way Interaction10.0014800.0014802.210.3770.6658Insignificant
  Speed  DOC10.0014800.0014802.210.3770.6658Insignificant
Error10.0006700.0006700.3Insignificant
Total80.222965

DOC–depth of cut.