Journal of Nanomaterials / 2021 / Article / Tab 3 / Research Article
Influence of Nanographite on Dry Sliding Wear Behaviour of Novel Encapsulated Squeeze Cast Al-Cu-Mg Metal Matrix Composite Using Artificial Neural Network Table 3 Experimental design using L27 (33 ) orthogonal array.
Sample Id Load (N) Velocity (m/s) Nanographite wt% Wear rate ×10-3 (mm3 /m) COF S/N ratio for wear rate S/N ratio for COF ANN wear rate ANN COF S1 10 0.75 1 0.323 0.4146 9.8159 7.6474 0.3230 0.4254 S2 10 0.75 3 0.3186 0.3162 9.9351 10.001 0.3200 0.3148 S3 10 0.75 5 0.3611 0.3651 8.8475 8.7518 0.3579 0.3598 S4 10 1.5 1 0.331 0.5477 9.6034 5.2291 0.3310 0.5582 S5 10 1.5 3 0.4166 0.3126 7.6056 10.1 0.4168 0.2980 S6 10 1.5 5 0.438 0.4955 7.1705 6.0991 0.4380 0.5019 S7 10 2.25 1 0.3568 0.5539 8.9515 5.1314 0.3568 0.5599 S8 10 2.25 3 0.3959 0.5168 8.0483 5.7335 0.3959 0.5347 S9 10 2.25 5 0.451 0.6258 6.9165 4.0713 0.4510 0.6460 S10 20 0.75 1 0.321 0.3256 9.8699 9.746 0.3214 0.3441 S11 20 0.75 3 0.2766 0.3569 11.163 8.9503 0.2766 0.3584 S12 20 0.75 5 0.4116 0.4038 7.7105 7.8767 0.4116 0.4218 S13 20 1.5 1 0.333 0.3904 9.5511 8.1698 0.3330 0.3966 S14 20 1.5 3 0.3016 0.3654 10.411 8.7446 0.3016 0.3598 S15 20 1.5 5 0.3766 0.4214 8.4824 7.5071 0.3754 0.4241 S16 20 2.25 1 0.358 0.4624 8.9223 6.6996 0.3571 0.4506 S17 20 2.25 3 0.3794 0.4915 8.4181 6.1695 0.3794 0.4972 S18 20 2.25 5 0.487 0.5125 6.2494 5.8061 0.5958 0.5306 S19 30 0.75 1 0.4023 0.4558 7.909 6.8245 0.4023 0.4329 S20 30 0.75 3 0.392 0.4262 8.1343 7.4077 0.3920 0.4222 S21 30 0.75 5 0.4327 0.5588 7.2763 5.0549 0.4327 0.5577 S22 30 1.5 1 0.4073 0.4351 7.8017 7.2282 0.4073 0.4191 S23 30 1.5 3 0.391 0.4195 8.1565 7.5454 0.3910 0.4247 S24 30 1.5 5 0.438 0.53 7.1705 5.5145 0.4380 0.5422 S25 30 2.25 1 0.4137 0.632 7.6663 3.9857 0.4137 0.6619 S26 30 2.25 3 0.396 0.6141 8.0461 4.2352 0.3960 0.5539 S27 30 2.25 5 0.4502 0.6545 6.9319 3.6818 0.4502 0.6542