Journal of Nanomaterials / 2022 / Article / Tab 6 / Research Article
Optimization and Prediction of Tribological Behaviour of Al-Fe-Si Alloy-Based Nanograin-Refined Composites Using Taguchi with Response Surface Methodology Source Adj SS Dof Adj MS - value valueModel 34.84 14 2.49 21.27 <0.0001 A-% of ZrO2 10.60 1 10.60 90.62 <0.0001 B-load 17.78 1 17.78 151.97 <0.0001 C-disc velocity 0.1784 1 0.1784 1.52 0.2405 D-sliding distance 0.6495 1 0.6495 5.55 0.0363 AB 2.68 1 2.68 22.94 0.0004 AC 0.2506 1 0.2506 2.14 0.1690 AD 0.0227 1 0.0227 0.1937 0.6677 BC 0.1555 1 0.1555 1.33 0.2714 BD 0.2591 1 0.2591 2.21 0.1625 CD 0.0012 1 0.0012 0.0099 0.9223 A2 0.0200 1 0.0200 0.1709 0.6866 B2 2.35 1 2.35 20.06 0.0008 C2 0.0409 1 0.0409 0.3496 0.5653 D2 0.0924 1 0.0924 0.7900 0.3916 Residual 1.40 12 0.1170 Cor total 36.25 26 0.9613 Std. Dev. 0.3420 Adjusted 0.9161 Mean 2.78 Predicted 0.7769 C.V. % 12.30 Adeq precision 17.6566