From: Optimization of underwater wet welding process parameters using neural network
Serial number | Process parameters | Water depth | Bead geometry | Error = Output (W,P,R) − Target | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Target = 0 | |||||||||||
I(A) | U(V) | v(m/s) | D(m) | H(m) | W(m) | P(m) | R(m) | ΔW(m) | ΔP(m) | ΔR(m) | |
1 | 280 | 28 | 10 | 20 | 40 | 10.4 | 2.5 | 4.3 | 0.0061 | 0.0091 | 0.0016 |
2 | 320 | 32 | 6 | 20 | 20 | 12.5 | 3.8 | 8 | 0.0022 | −0.0394 | 0.0998 |
3 | 300 | 32 | 10 | 22 | 60 | 10.4 | 3 | 4 | −0.3280 | −1.1397 | −0.5471 |
4 | 340 | 28 | 6 | 22 | 0.1 | 13.9 | 3.5 | 3 | 1.6136 | −0.1071 | −0.7470 |
5 | 280 | 30 | 6 | 24 | 60 | 12.9 | 3.7 | 6.1 | 0.0223 | −0.0104 | 0.0083 |
6 | 320 | 26 | 10 | 24 | 0.1 | 11.6 | 1.8 | 2 | 0.0093 | 0.0650 | 0.0269 |
7 | 300 | 26 | 6 | 18 | 40 | 12 | 2.9 | 5 | −0.0177 | −0.0126 | 0.0080 |
8 | 340 | 30 | 10 | 18 | 20 | 9.4 | 4.2 | 4.3 | −0.0193 | 0.1365 | 0.0038 |
9 | 280 | 26 | 12 | 22 | 20 | 8.9 | 1.7 | 4.5 | −0.3662 | −1.0633 | −0.2616 |
10 | 320 | 30 | 8 | 22 | 40 | 11.8 | 3.3 | 4.8 | −0.0323 | 0.0312 | 0.0007 |
11 | 300 | 30 | 12 | 20 | 0.1 | 12.8 | 1.7 | 1.9 | −0.0363 | −0.1342 | −0.0876 |
12 | 340 | 26 | 8 | 20 | 60 | 9.5 | 3.4 | 4.8 | 0.0169 | −0.0132 | 0.0008 |
13 | 280 | 32 | 8 | 18 | 0.1 | 12.5 | 2 | 2 | 0.0089 | 0.0151 | 0.0553 |
14 | 320 | 28 | 12 | 18 | 60 | 7.9 | 2.7 | 4.9 | −0.8149 | −0.9025 | 1.8429 |
15 | 300 | 28 | 8 | 24 | 20 | 10.1 | 3.1 | 4.9 | −0.0211 | 0.0055 | −0.0067 |
16 | 340 | 32 | 12 | 24 | 40 | 10 | 3 | 4 | 0.0011 | −0.0140 | 0.0213 |