Research Article
Optimization of Residual Wall Thickness Uniformity in Short-Fiber-Reinforced Composites Water-Assisted Injection Molding Using Response Surface Methodology and Artificial Neural Network-Genetic Algorithm
Table 3
ANOVA for Response Surface Quadratic Model.
| | Source | Sum of Squares | df | Mean Square | Value | -value Prob > F | |
| | Model | 0.03 | 20 | 1.51E−03 | 4.61 | 0.0001 | Significant | | X 1 | 4.97E−03 | 1 | 4.97E−03 | 15.2 | 0.0005 | Significant | | X 2 | 2.13E−04 | 1 | 2.13E−04 | 0.65 | 0.4266 | | | X 3 | 7.35E−03 | 1 | 7.35E−03 | 22.5 | <0.0001 | Significant | | X 4 | 1.88E−04 | 1 | 1.88E−04 | 0.58 | 0.454 | | | X 5 | 4.43E−03 | 1 | 4.43E−03 | 13.55 | 0.0009 | Significant | | X 1 X 2 | 5.25E−05 | 1 | 5.25E−05 | 0.16 | 0.6914 | | | X 1 X 3 | 9.03E−06 | 1 | 9.03E−06 | 0.028 | 0.8691 | | | X 1 X 4 | 3.71E−04 | 1 | 3.71E−04 | 1.14 | 0.2952 | | | X 1 X 5 | 2.30E−03 | 1 | 2.30E−03 | 7.02 | 0.0129 | Significant | | X 2 X 3 | 8.78E−05 | 1 | 8.78E−05 | 0.27 | 0.6082 | | | X 2 X 4 | 5.53E−04 | 1 | 5.53E−04 | 1.69 | 0.2036 | | | X 2 X 5 | 5.70E−04 | 1 | 5.70E−04 | 1.74 | 0.1971 | | | X 3 X 4 | 2.13E−03 | 1 | 2.13E−03 | 6.51 | 0.0162 | Significant | | X 3 X 5 | 9.57E−04 | 1 | 9.57E−04 | 2.93 | 0.0977 | | | X 4 X 5 | 8.30E−04 | 1 | 8.30E−04 | 2.54 | 0.1218 | | | X 12 | 2.18E−07 | 1 | 2.18E−07 | 6.66E−04 | 0.9796 | | | X 22 | 3.16E−04 | 1 | 3.16E−04 | 0.97 | 0.3338 | | | X 32 | 1.50E−04 | 1 | 1.50E−04 | 0.46 | 0.503 | | | X 42 | 3.57E−05 | 1 | 3.57E−05 | 0.11 | 0.7435 | | | X 52 | 1.02E−07 | 1 | 1.02E−07 | 3.13E−04 | 0.986 | | | Residual | 9.48E−03 | 29 | 3.27E−04 | | | | | Lack of fit | 9.48E−03 | 22 | 4.31E−04 | | | | | Pure error | 0 | 7 | 0 | | | | | Cor total | 0.04 | 49 | | | | |
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