Author:
Naderian Pooria,Karami Alimohammad,Aghakhani Masood,Ghasemi Hadis,Sohrabi Neaman
Publisher
Springer Science and Business Media LLC
Reference47 articles.
1. Adak DK, Senapati D, Dutta P (2022) Parameters optimisation for submerged arc welding of mild steel weld bead geometry using response surface methodology. J Mech Contin Math Sci 17(8):34–47
2. Akkas N, Karayel D, Ozkan SS, Oğur A, Topal B (2013) Modeling and analysis of the weld bead geometry in submerged arc welding by using adaptive neurofuzzy inference system. Math Probl Eng 2013:1–10
3. Anand K, Barik BK, Tamilmannan K, Sathiya P (2015) Artificial neural network modeling studies to predict the friction welding process parameters of Incoloy 800H joints. Eng Sci Technol Int J 18(3):394–407. https://doi.org/10.1016/j.jestch.2015.02.001
4. Avazkonandeh-Gharavol MH, Haddad-Sabzevar M, Haerian A (2009) Effect of chromium content on the microstructure and mechanical properties of multipass MMA, low alloy steel weld metal. J Mater Sci 44:186–197
5. Chandel RS, Seow HP, Cheong FL (1997) Effect of increasing deposition rate on the bead geometry of submerged arc welds. J Mater Proc Technol 72(1):124–128