Research Article
Study of Residual Wall Thickness and Multiobjective Optimization for Process Parameters of Water-Assisted Injection Molding
Table 3
The actual value, predicted value, RE, and RP of wall thickness difference of the three models.
| Sample | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Mean |
| Actual value (%) | 25.7 | 23.4 | 24.6 | 25.0 | 25.8 | 27.1 | 26.7 | 20.3 | 23.1 | 20.3 | 24.2 | RSM predicted value (%) | 24.0 | 24.1 | 24.1 | 22.6 | 27.5 | 23.8 | 25.2 | 22.6 | 22.5 | 22.6 | 24.1 | RBF predicted value (%) | 23.0 | 22.8 | 23.3 | 20.9 | 26.2 | 23.4 | 23.4 | 20.9 | 21.3 | 20.9 | 22.6 | Kriging predicted value (%) | 20.8 | 20.5 | 25.5 | 23.8 | 28.5 | 25.5 | 26.3 | 23.8 | 23.8 | 23.8 | 24.2 | RSM | | | | | | | | | | | | RE (%) | 6.6 | 3.0 | 2.0 | 9.6 | 6.9 | 12.2 | 5.6 | 11.3 | 2.6 | 11.3 | 7.1 | RP (%) | 93.4 | 97.0 | 98.0 | 90.4 | 93.1 | 87.8 | 94.4 | 88.7 | 97.4 | 88.7 | 92.9 | RBF | | | | | | | | | | | | RE (%) | 10.5 | 2.6 | 5.3 | 16.4 | 1.6 | 13.7 | 12.4 | 3.0 | 7.8 | 3.0 | 7.6 | RP (%) | 89.5 | 97.4 | 94.7 | 83.6 | 98.4 | 86.3 | 87.6 | 97.0 | 92.2 | 97.0 | 92.4 | Kriging | | | | | | | | | | | | RE (%) | 19.0 | 12.4 | 3.6 | 4.8 | 10.5 | 5.9 | 1.5 | 17.2 | 3.0 | 17.2 | 9.5 | RP (%) | 81.0 | 87.6 | 96.4 | 95.2 | 89.5 | 94.1 | 98.5 | 82.8 | 97.0 | 82.8 | 90.5 |
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