Prediction of optimal mild steel weld parameters using the Adaptive Neuro-Fuzzy Inference System (ANFIS) technique-Reference-Cited by-同舟云学术

Prediction of optimal mild steel weld parameters using the Adaptive Neuro-Fuzzy Inference System (ANFIS) technique

Published:2024-02-05 Issue:3-4 Volume:131 Page:1203-1210
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Lofinmakin Oladotun Oluyomi,Sada Samuel Oro-oghene,Emovon Ikuobase,Samuel Olusegun David,Oke Sunday Ayoola

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00170-024-13079-9.pdf

Reference36 articles.

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3. Sada SO (2018) Parametric optimization of weld reinforcements using response surface methodology optimization process. J Appl Sci Environ Manage 22(8):1331–1335

4. Sada SO, Achebo JO (2018) Optimisation and prediction of the weld bead geometry of a mild steel metal inert gas weld. Adv Mater Process Technol. https://doi.org/10.1080/2374068X.2020.1860597

5. Kah P, Latifi H, Suoranta R, Martikainen J, Pirinen M (2014) Usability of are types in industrial welding. Int J Mech Mater Eng 2014(9):15

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