H.L. Li, C.Y. Hu, J.J. Hu, K. Han, Z.Y. Wang, R. Yang, and D. Liu, Underwater Wet Welding of High-Strength Low-Alloy Steel using Self-Shielded Flux-Cored Wire with Highly Exothermic Al/CuO Mixture, J. Mater. Process. Technol., 2024, 328, p 118404. https://doi.org/10.1016/j.jmatprotec.2024.118404

Article  CAS  Google Scholar 

H.W. Yang, J. Chen, X.Y. Zhao, N. Huda, A.R.H. Midawi, and A.P. Gerlich, Effect of Laser Beam Wobbling and Welding Speed in X80 Steel Wire-Fed Laser Root Welds, J. Mater. Process. Technol., 2024, 327, p 118383. https://doi.org/10.1016/j.jmatprotec.2024.118383

Article  CAS  Google Scholar 

B. Chen, Z. Meng, S.H. Yan, X.X. Wang, J. Wang, C.W. Tan, X.G. Song, and Y.X. Chen, Effects of Oscillating Molten Pool Flow on the Weld Formation and Mechanical Performance of Titanium Alloy Joints, Opt. Laser Technol., 2024, 177, p 111156. https://doi.org/10.1016/j.optlastec.2024.111156

Article  CAS  Google Scholar 

X.Y. Huang, H.J. Zhang, Z.J. Wang, J.M. Li, Y.F. Geng, X.S. Zhou, X.T. Li, and Z.H. Bai, Comparative Study on the Weldability and Mechanical Performance of IN718, ATI 718Plus Alloy in Laser Beam Welding, Mater. Sci. Eng. A, 2025, 929, p 148133. https://doi.org/10.1016/j.msea.2025.148133

Article  CAS  Google Scholar 

M. Tümer, C. Schneider-Bröskamp, and N. Enzinger, Fusion Welding of Ultra-High Strength Structural Steels-A Review, J. Manuf. Process., 2022, 82, p 203–229. https://doi.org/10.1016/j.jmapro.2022.07.049

Article  Google Scholar 

International Organization for Standardization, ISO 15614-1:2017 Specification and Qualification of Welding Procedures for Metallic Materials-Welding Procedure Test, ISO Central Secretariat, Geneva, Switzerland, 2017.

Google Scholar 

R.S.E. Taylor, Process pipe and tube welding, Chapter 10 - Qualification of Welding Procedures for the Chemical Process Industry. W. Lucas Ed., Woodhead Publishing, Cambridge, 1991, p 132–142. https://doi.org/10.1533/9781845698881.132

Chapter  Google Scholar 

G.M. Gray and A.B.L. Croker, Reduced Ductility of in-Service 9Cr1Mo Piping Revealed During Welding Procedure Qualification, Int. J. Press. Vessels Pip., 2004, 81, p 543–555. https://doi.org/10.1016/j.ijpvp.2003.12.026

Article  CAS  Google Scholar 

W. Piekarska and D. Goszczyńska-Króliszewska, Prediction of Structure and Mechanical Properties of Welded Joints Using Analytical Methods, Procedia Eng., 2016, 136, p 82–87. https://doi.org/10.1016/j.proeng.2016.01.178

Article  CAS  Google Scholar 

S. Park, J. Won, S. Yoo, B. Moon, C. Kim, and N. Kang, Influence of Welding Position and Dilution on Mechanical Properties and Strengthening Design of Flux Cored arc Weld Metal for High Manganese Steels, Int. J. Adv. Manuf. Technol., 2024, 130, p 3509–3523. https://doi.org/10.1007/s00170-023-12765-4

Article  Google Scholar 

C.B. Tan, R. Ardanese, E. Huemiller, W. Cai, H. Yang, J. Bracey, and G. Pozzato, Data-driven Battery Electrode Production Process Modeling Enabled by Machine Learning, J. Mater. Process. Technol., 2023, 316, p 117967. https://doi.org/10.1016/j.jmatprotec.2023.117967

Article  Google Scholar 

H.N. Wen, J.S. Jin, X.F. Tang, X.Y. Wang, H.Y. Yang, Y.D. Zhang, M. Zhang, L. Deng, Q.S. Wei, J.Z. Chen, X.D. Ma, and J.Z. Guo, Machine Learning-Assisted Constitutive Modeling of a Novel Powder Metallurgy Superalloy, Int. J. Mech. Sci., 2023, 260, p 108654. https://doi.org/10.1016/j.ijmecsci.2023.108654

Article  Google Scholar 

M.S. Choobi, M. Haghpanahi, and M. Sedighi, Prediction of Welding-Induced Angular Distortions in thin Butt-Welded Plates using Artificial Neural Networks, Comput. Mater. Sci., 2012, 62, p 152–159. https://doi.org/10.1016/j.commatsci.2012.05.032

Article  CAS  Google Scholar 

Z.F. Zhang, Y.M. Huang, R. Qin, W.J. Ren, and G.R. Wen, XGBoost-based On-Line Prediction of Seam Tensile Strength for Al-Li Alloy in Laser Welding: Experiment Study and Modelling, J. Mater. Process. Technol., 2021, 64, p 30–44. https://doi.org/10.1016/j.jmapro.2020.12.004

Article  Google Scholar 

S.S. Gao, X. Tang, S. Ji, and Z. Yang, Prediction of Mechanical Properties of Welded Joints based on Support Vector Regression, Procedia Eng., 2012, 29, p 1471–1475. https://doi.org/10.1016/j.proeng.2012.01.157

Article  CAS  Google Scholar 

M. Ahmadzadeh, A. Hoseini Fard, B. Saranjam, and H.R. Salimi, Prediction of Residual Stresses in Gas arc Welding by Back Propagation Neural Network, NDT E Int., 2012, 52, p 136–143. https://doi.org/10.1016/j.ndteint.2012.07.009

Article  Google Scholar 

H.Y. Wang, Z.X. Zhang, and L.M. Liu, Prediction and Fitting of Weld Morphology of Al alloy-CFRP Welding-Rivet Hybrid Bonding Joint based on GA-BP Neural Network, J. Manuf. Process., 2021, 63, p 109–120. https://doi.org/10.1016/j.jmapro.2020.04.010

Article  Google Scholar 

Senthilkumaran B, Sushama C, Bhaggiaraj S, Kaushal A, Kamalarajan P, Babu MD (2024) Welded Joint Performance Analysis through Mechanical and Thermal Property Prediction with Random Forest. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) Proceedings, Kamand, India, pp 1-6. https://doi.org/10.1109/ICCCNT61001.2024.10725531.

P.H. Geng, Y.J. Xia, Z.Q. Dong, B.X. Men, B. Pan, C.H. Shao, Y.B. Li, and J.J. Li, Machine Learning Applications in Welding processes: Progresses and Opportunities, Int. J. Mach. Tools Manuf, 2025, 213, p 104344. https://doi.org/10.1016/j.ijmachtools.2025.104344

Article  Google Scholar 

S. Sinha and Y.M. Lee, Challenges with Developing and Deploying AI Models and Applications in Industrial Systems, Discov. Artif. Intell., 2024, 4, p 55. https://doi.org/10.1007/s44163-024-00151-2

Article  Google Scholar 

F. Souza Neto, D. Neves, O.M.M. Silva, M.S.F. Lima, and A.J. Abdalla, An Analysis of the Mechanical Behavior of AISI 4130 Steel after TIG and Laser Welding Process, Procedia Eng., 2015, 114, p 181–188. https://doi.org/10.1016/j.proeng.2015.08.057

Article  CAS  Google Scholar 

P.R. Sakai, M.S.F. Lima, L. Fanton, C.V. Gomes, S. Lombardo, D.F. Silva, and A.J. Abdalla, Comparison of Mechanical and Microstructural Characteristics in Maraging 300 Steel Welded by Three Different Processes: LASER, PLASMA and TIG, Procedia Eng., 2015, 114, p 181–188. https://doi.org/10.1016/j.proeng.2015.08.071

Article  CAS  Google Scholar 

M. Arivarasu, M. Manikandan, M.J. Jualeash, P. Deepak, R. Padnamaban, and M. Arivazhagan, Investigations on Mechanical and Metallurgical Properties of Pulsed GTA Welded Maraging Steel C300, Mater. Today Proc., 2018, 5, p 13612–13619. https://doi.org/10.1016/j.matpr.2018.02.358

Article  CAS  Google Scholar 

Z. Wu, G.R. Wang, S.F. Huang, and Z.S. Wu, Research on Welding Technology of Medium and Thick Plates of 30CrMnSiA Steel, MW Metal Forming, 2023, 10, p 45–49. https://doi.org/10.3969/j.issn.1674-165X.2023.10.009

Article  Google Scholar 

J.F. Wang, Investigation of Weld Metal Microstructure and Properties of DP600 MPa High Strength Steel by GMAW, Electric Welding Machine, 2014, 44, p 171–174.

Google Scholar 

Z.D. Jiang, Research on Welding Technology of HG70D High-Strength Steel, Foundry Technol., 2018, 39, p 2847–2849.

Google Scholar 

L. Li and Y.Q. Yang, Experimental Study on Welding Process of HG70D Low-Alloy High-Strength Steel, MW Metal Forming, 2017, 68, p 74–77. https://doi.org/10.3969/j.issn.1674-165X.2017.10.027

Article  Google Scholar 

X.K. Zhao, H.Y. Zhang, H.D. Qu, G.F. Liao, and H.Q. Li, Comparative Study on Mechanical Properties of Q355B Steel and Q345B Steel MAG Welded Joints, MW Metal Forming, 2024, 12, p 30–33. https://doi.org/10.3969/j.issn.1674-165X.2024.12.004

Article  Google Scholar 

R.P. Wu, J.W. Wu, T.X. Wang, X. Zhang, and B.T. Tang, Study on the Welding Tests of Q390R Steel Plate, Press. Vessel Technol., 2023, 40, p 12–21. https://doi.org/10.3969/j.issn.1001-4837.2023.08.002

Article  Google Scholar 

K. Xing and B.W. Li, Investigation on the Microstructure and Proper-Ties of Flux Core Gas Shielded Welding Joint of Q620 Steel, Electric Weld. Mach., 2020, 50, p 84–88. https://doi.org/10.7512/j.issn.1001-2303.2020.05.17

Article  Google Scholar 

J. Jia, Y.Q. Yang, H.S. Li, X.J. Wu, and G.B. Li, GMAW Welding Technology of Q890 Ultra-High Strength Steel, Electric Weld. Mach., 2015, 45, p 55–58.

Google Scholar 

Y. Yuan, J.F. Wang, X.Y. Cai, W.C. Su, and Y. Guo, Microstructure and Properties of Welded Joints of Q960E Ultra-High Strength Steel, J. Netshape Form. Eng., 2023, 15, p 97–104. https://doi.org/10.3969/j.issn.1674-6457.2023.05.012

Article  CAS  Google Scholar 

F.M. Zhang, N. Xu, and X.Y. Fu, Study on Welding Technology for Low Alloy High Strength Steel Q890D, Sci. Technol. Baotou Steel, 2018, 44, p 46–50. https://doi.org/10.3969/j.issn.1009-5438.2018.06.013

Article  Google Scholar 

P. Che, J.P. Li, H.Q. Huang, Q.F. Wang, D. Sun, and W.W. Li, Welding Tests of High Performance Q420q ENH Weathering Bridge Steel, Weld. Join., 2021, 65, p 42–50. https://doi.org/10.12073/j.hj.20200930001.

Article  Google Scholar 

Z.P. Zhang and M. Chang, Effect of Welding Heat Input on Mechanical Properties of 30CrMo Steel Welded Joint, Hot Work. Technol., 2017, 46, p 34–37.

CAS  Google Scholar 

Y.P. Wang, C.J. Lv, S.W. Li, S. Li, F. Zhao, and Z.B. Yang, Effect of Heat Input on Microstructure and Mechanical Properties of MAG Welded Joint of 25 mm Thick A710 Steel, Weld. Technol., 2025, 54, p 18–23.

CAS  Google Scholar 

K.F. Ma, S.D. Zheng, J.L. Yi, D.F. Yi, C.F. Guo, and K. Wang, Effect of Heat Input on the Microstructure and Mechanical Properties of Weld Joints of 921A Steel, Electric Weld. Mach., 2014, 44, p 50–54.

Google Scholar 

Z.X. Han, Z.Y. Lan, Y.F. Sun, and D.Y. Wang, Influence of Heat Input on Weldability of Q890D Low Alloy High Strength Steel, Weld. Join., 2019, 63, p 56–59. https://doi.org/10.12073/j.hj.20181030002.