Research Article
Analytical and Neural Network Analysis on Flux-Coated Aluminium Alloy by Activated TIG Welding with Synthesized Nanocomposites
Table 6
ANOVA for hardness with their activated coated TIG parameters.
| Source | df | Adj. SS | Adj. MS | F-value | P-value |
| Model | 9 | 154.983 | 17.2204 | 0.96 | 0.549 | Linear | 3 | 117.250 | 39.0833 | 2.19 | 0.208 | Welding speed | 1 | 78.125 | 78.1250 | 4.37 | 0.091 | Voltage | 1 | 21.125 | 21.1250 | 1.18 | 0.327 | Current | 1 | 18.000 | 18.0000 | 1.01 | 0.362 | Square | 3 | 29.233 | 9.7444 | 0.54 | 0.673 | Welding speed × welding speed | 1 | 9.256 | 9.2564 | 0.52 | 0.504 | Voltage × voltage | 1 | 0.641 | 0.6410 | 0.04 | 0.857 | Current × current | 1 | 20.103 | 20.1026 | 1.12 | 0.338 | 2-way interaction | 3 | 8.500 | 2.8333 | 0.16 | 0.920 | Welding speed × voltage | 1 | 0.000 | 0.0000 | 0.00 | 1.000 | Welding speed × current | 1 | 6.250 | 6.2500 | 0.35 | 0.580 | Voltage × current | 1 | 2.250 | 2.2500 | 0.13 | 0.737 | Error | 5 | 89.417 | 17.8833 | | | Lack-of-fit | 3 | 22.750 | 7.5833 | 0.23 | 0.872 | Pure error | 2 | 66.667 | 33.3333 | | | Total | 14 | 244.400 | | | |
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