Research Article
Analytical and Neural Network Analysis on Flux-Coated Aluminium Alloy by Activated TIG Welding with Synthesized Nanocomposites
Table 4
ANOVA for tensile output with their activated coated TIG parameters.
| Basis | df | Adj. SS | Adj. MS | F-value | P-value |
| Model | 9 | 904.33 | 100.481 | 0.52 | 0.815 | Linear | 3 | 367.00 | 122.333 | 0.63 | 0.625 | Welding speed | 1 | 312.50 | 312.500 | 1.61 | 0.260 | Voltage | 1 | 50.00 | 50.000 | 0.26 | 0.633 | Current | 1 | 4.50 | 4.500 | 0.02 | 0.885 | Square | 3 | 207.33 | 69.111 | 0.36 | 0.787 | Welding speed × welding speed | 1 | 0.10 | 0.103 | 0.00 | 0.983 | Voltage × voltage | 1 | 189.64 | 189.641 | 0.98 | 0.368 | Current × current | 1 | 26.26 | 26.256 | 0.14 | 0.728 | Two-way interaction | 3 | 330.00 | 110.000 | 0.57 | 0.660 | Welding speed × voltage | 1 | 49.00 | 49.000 | 0.25 | 0.636 | Welding speed × current | 1 | 256.00 | 256.000 | 1.32 | 0.302 | Voltage × current | 1 | 25.00 | 25.000 | 0.13 | 0.734 | Error | 5 | 967.67 | 193.533 | | | Lack-of-fit | 3 | 351.00 | 117.000 | 0.38 | 0.782 | Pure error | 2 | 616.67 | 308.333 | | | Total | 14 | 1,872.00 | | | |
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