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OCTOBER 19-20, 2012 - YMCA University of Science & Technology

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6.2 Effect <strong>of</strong> input factors on Surface Roughness<br />

Proceedings <strong>of</strong> the National Conference on<br />

Trends and Advances in Mechanical Engineering,<br />

<strong>YMCA</strong> <strong>University</strong> <strong>of</strong> <strong>Science</strong> & <strong>Technology</strong>, Faridabad, Haryana, Oct <strong>19</strong>-<strong>20</strong>, <strong>20</strong>12<br />

Table 4: Response Table for Signal to Noise Ratio for Surface Roughness (Smaller is better)<br />

Level A B C D<br />

1 -6.480 -6.800 -8.988 -8.944<br />

2 -8.161 -9.906 -6.706 -9.143<br />

3 -12.709 -10.644 -11.656 -9.263<br />

Delta 6.228 3.844 4.950 0.3<strong>19</strong><br />

Rank 1 3 2 4<br />

Figure 4: Main effects plot for S/N ratio <strong>of</strong> Surface Roughness<br />

Table 5: Response Table for Means for Surface Roughness<br />

Level A B C D<br />

1 2.247 2.505 3.105 3.022<br />

2 2.735 3.392 2.363 3.072<br />

3 4.377 3.422 3.850 3.225<br />

Delta 2.090 0.917 1.487 0.<strong>20</strong>3<br />

Rank 1 3 2 4<br />

Figure 5: Main effects plot for means <strong>of</strong> Surface Roughness<br />

Table (6) ANNOVA Table for Mean Data <strong>of</strong> Surface Roughness<br />

Source DOF SS MS Percentage<br />

Contribution<br />

A 2 9.374 4.687 26.2772<br />

B 2 8.7634 4.3817 24.5656<br />

C 2 8.948 4.474 25.0831<br />

D 2 8.588 4.294 24.0739<br />

Total 8 35.6734<br />

It is clear from S/N plots that the max S/N ratio occurs corresponding to A 1 B 1 C 2 D 1 . Y optimal<br />

performance + Contribution <strong>of</strong> significant factors at optimum levels<br />

= Average<br />

Y<br />

optimal T + ( A1 − T ) + ( B1<br />

− T ) + ( C 2 − T ) + ( D1<br />

− T )<br />

= Optimal Value <strong>of</strong> Surface Roughness = 2.343667 µm<br />

421

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