Table 5 Regression analysis and ANOVA for cycle time
From: Optimization and Simulation of Plastic Injection Process using Genetic Algorithm and Moldflow
Estimated regression coefficients for cycle time | |||||
|---|---|---|---|---|---|
Term | Coef. | SE Coef. | F | P | |
Constant | 0.647 5 | 0.512 9 | 1.26 | 0.233 | |
Melting temperature T M | 0.071 3 | 0.001 0 | 69.26 | 0.000 | |
Injection pressure P inj | 0.003 8 | 0.013 7 | 0.28 | 0.788 | |
Holding pressure P hold | 0.003 8 | 0.013 7 | 0.28 | 0.788 | |
Holding time t hold | 0.080 4 | 0.020 6 | 3.90 | 0.002 | |
S = 0.16472 | R-Sq = 99.8% | R-Sq(adj) = 99.7% | |||
Analysis of varians | |||||
|---|---|---|---|---|---|
Source | DF | SS | MS | F | P |
Regression | 4 | 130.579 | 32.645 | 1203.15 | 0.000 |
Residual error | 11 | 0.298 | 0.027 | ||
Total | 15 | 130.877 | |||