Research Article
Artificial Neural Network on Tool Condition Monitoring in Hard Turning of AISI4140 Steel Using Carbide Tool
Table 3
ANOVA table for tool wear.
| Source | Sum of squares | DF | Mean square | F values | values | PCR | Significant |
| Model | 0.296 | 8 | 0.037 | 60.72 | <0.0001 | 87.06 | Significant | A–V | 0.054 | 2 | 0.027 | 45.78 | <0.0001 | 15.88 | Significant | B–f | 0.015 | 2 | 0.0074 | 12.29 | <0.0001 | 4.35 | Significant | C–d | 0.038 | 2 | 0.019 | 30.85 | <0.0001 | 11.18 | Significant | D–L | 0.19 | 2 | 0.095 | 153.96 | <0.0001 | 55.88 | Significant | Residual | 0.0432 | 72 | 0.0006 | — | — | 12.71 | — | Cor total | 0.34 | 80 | — | — | — | | — |
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