TY - JOUR
T1 - Development of a welding condition optimization program for narrow Gap SAW
AU - Abe, Yohei
AU - Fujimoto, Takahiro
AU - Nakatani, Mitsuyoshi
AU - Shigeta, Masaya
AU - Tanaka, Manabu
N1 - Publisher Copyright:
© 2020 Japan Welding Society. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Submerged arc welding (SAW) is widely used for butt welding of thick plates in large steel structures because of its high deposition rate and high weld quality. 1-pass per layer narrow gap welding with a narrow root width is an effective process that reduces welding time and deformation. However, compared with conventional grooves, it is at risk to occur lack of fusion due to narrow gap. And, the degradation of mechanical properties is a concern because the reheated region becomes thinner. In this study, a welding condition optimization program to control the weld shape for narrow gap SAW was developed. First, welds were conducted on plate under different welding conditions, and a weld shape model was established. Next, an optimization algorithm for deciding welding conditions that can achieve the target weld shape using the weld shape model was established. Then, welding conditions for achieving different layer thicknesses were calculated using the optimization method. The performance of the program was verified by multi-layer welding under the decided conditions.
AB - Submerged arc welding (SAW) is widely used for butt welding of thick plates in large steel structures because of its high deposition rate and high weld quality. 1-pass per layer narrow gap welding with a narrow root width is an effective process that reduces welding time and deformation. However, compared with conventional grooves, it is at risk to occur lack of fusion due to narrow gap. And, the degradation of mechanical properties is a concern because the reheated region becomes thinner. In this study, a welding condition optimization program to control the weld shape for narrow gap SAW was developed. First, welds were conducted on plate under different welding conditions, and a weld shape model was established. Next, an optimization algorithm for deciding welding conditions that can achieve the target weld shape using the weld shape model was established. Then, welding conditions for achieving different layer thicknesses were calculated using the optimization method. The performance of the program was verified by multi-layer welding under the decided conditions.
KW - Multiple regression analysis
KW - Narrow gap
KW - Nelder-mead method
KW - Submerged arc welding
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U2 - 10.2207/QJJWS.38.98S
DO - 10.2207/QJJWS.38.98S
M3 - Article
AN - SCOPUS:85099618775
SN - 0288-4771
VL - 38
SP - 98S-102S
JO - Yosetsu Gakkai Ronbunshu/Quarterly Journal of the Japan Welding Society
JF - Yosetsu Gakkai Ronbunshu/Quarterly Journal of the Japan Welding Society
IS - 2
ER -