A neuro-fuzzy approach for increasing productivity in gas metal arc welding processes-Reference-Cited by-同舟云学术

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A neuro-fuzzy approach for increasing productivity in gas metal arc welding processes

Published:2006-03-16 Issue:5-6 Volume:32 Page:459-467
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Carrino L.,Natale U.,Nele L.,Sabatini M. L.,Sorrentino L.

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00170-005-0360-y.pdf

Reference12 articles.

1. Ferjutz K, Davis JR, Wheaton ND (1987) ASM handbook: welding, brazing, and soldering, vol 6. American Society for Metals, Metals Park, Ohio

2. Cammarata S (1997) Sistemi a logica fuzzy. Etas Libri, Italia

3. Khanna T (1990) Foundations of neural networks. Addison-Wesley, New York

4. Quintino L, Ribeiro R, Faria J (1999) Classification of GMAW transfer modes using neural networks. Int J Join Mater 11(1):6–8

5. Li X, Simpson SW, Rados M (2000) Neural networks for online prediction of quality in gas metal arc welding. Sci Technol Weld Join 5(2):71–79

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1. A case study on the applications of productivity indices with resources frugality;IOP Conference Series: Materials Science and Engineering;2021-04-01

2. References;Advancements in Intelligent Gas Metal Arc Welding Systems;2021

3. Application of Artificial Neural Networks to Estimate Tensile Strength of Austenitic Stainless Steel During Metal Inert Gas Welding Process;Artificial Neural Network Applications in Business and Engineering;2021

4. The feasibility of intelligent welding procedure qualification system for Q345R SMAW;The International Journal of Advanced Manufacturing Technology;2015-07-30

5. Fuzzy Logic Optimization of Weld Properties for SAW Using Silica Based Agglomerated Flux;Procedia Computer Science;2015

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