Advances in Materials Science and Engineering / 2018 / Article / Tab 5

Research Article

Taguchi Robust Design for Optimizing Surface Roughness of Turned AISI 1045 Steel Considering the Tool Nose Radius and Coolant as Noise Factors

Table 5

ANOVA results for control and noise factors.

SourceDFAdj. SSAdj. MS value value

Model3128.70590.92623.670
Linear824.69653.0870678.920
S28.23924.11961105.320
 DOC21.41960.7097918.150
 FR27.64663.8232897.740
 NR10.00150.001510.040.845
 Coolant17.38967.38962188.910
2-way interactions173.17210.186594.770
S ∗ DOC40.95370.238436.10
S ∗ NR20.49670.248346.350.003
S ∗ coolant20.52870.264366.760.002
 DOC ∗ FR40.40590.101472.590.043
 DOC ∗ NR20.22020.110112.810.066
 FR ∗ NR20.13850.069251.770.177
 NR ∗ coolant10.42840.4283610.950.001
3-way interactions60.83730.139553.570.004
S ∗ NR ∗ coolant20.39990.199935.110.008
 DOC ∗ FR ∗ NR40.43740.109362.80.032
Error762.97280.03912
Total10731.6787
R-sqR-sq (adj.)R-sq (pred.)
90.62%86.79%81.05%

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.