Characterization of Laser Welding of Steel 30XГCH2A by Combining Artificial Neural Networks and Finite Element Method

Author:

Nikitjuk YuriORCID,Bayevich GeorgyORCID,Myshkovets VictorORCID,Maximenko AlexanderORCID,Aushev IgorORCID

Publisher

Springer Singapore

Reference14 articles.

1. Sizova, O.V., Kolubaev, E.A., Zaikina, A.A., Vorontsov, A.V., Denisova, Yu.A., Rubtsov, V.E.: Features of the weld seam structure during laser welding of 09G2S structural steel. Metal Process. (technology, equipment, tools) 20(3), 123–133 (2018)

2. Grigoryants, A.G., Shiganov, I.N., Misyurov, A.I.: Technological processes of laser processing (Moscow: Bauman Moscow State Technical University, p. 663 (2006)

3. Bayevich, G.A., Maximenko, A.V., Myshkovetz, V.N.: The dynamics of the thermal cycle formation in impulse laser welding and surfacing of high-strength structural steel. Bull. GSTU named PO Sukhoi Sci. Pract. J. 1(1), 38–44 (2016)

4. Bakhtiyari, A.N., Wang, Z., Wang, L., Zheng, H.: A review on applications of artificial intelligence in modeling and optimization of laser beam machining. Opt. Laser Technol. 135, 1–18 (2021)

5. Ismail, M.I.S., Okamoto, Y., Okada, A.: Neural network modeling for prediction of weld bead geometry in laser microwelding. Adv. Opt. Technol. 2013, 1–7 (2013)

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