Research Article
Forward and Reverse Process Models for the Squeeze Casting Process Using Neural Network Based Approaches
Table 5
Summary results of input-output results of the test cases.
| Exp. no. | Squeeze casting process parameters | Responses | | | | | | SDAS, m | Density, g/cm3 |
| 1 | 11 | 30 | 101 | 671 | 263 | 48.43 | 2.602 | 2 | 7 | 14 | 110 | 635 | 192 | 49.74 | 2.622 | 3 | 6 | 37 | 63 | 674 | 236 | 47.64 | 2.628 | 4 | 5 | 40 | 142 | 731 | 254 | 33.78 | 2.664 | 5 | 5 | 10 | 71 | 723 | 142 | 46.86 | 2.626 | 6 | 9 | 33 | 110 | 738 | 261 | 48.33 | 2.614 | 7 | 9 | 48 | 96 | 637 | 174 | 50.63 | 2.595 | 8 | 11 | 32 | 172 | 712 | 189 | 44.86 | 2.618 | 9 | 4 | 21 | 196 | 646 | 213 | 35.66 | 2.676 | 10 | 4 | 23 | 89 | 742 | 284 | 41.34 | 2.663 |
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