Prediction of bead geometry in cold metal transfer welding using back propagation neural network-Reference-Cited by-同舟云学术

Prediction of bead geometry in cold metal transfer welding using back propagation neural network

Published:2016-10-15 Issue:1-4 Volume:93 Page:385-392
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Pavan Kumar N,Devarajan Praveen K,Arungalai Vendan S,Shanmugam N.

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/article/10.1007/s00170-016-9562-8/fulltext.html

Reference19 articles.

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2. Pickin CG, Williams SW, Lunt M (2011) Characterisation of the cold metal transfer (CMT) process and its application for low dilution cladding. J Materials Processing Techno 211:496–502

3. Senthil Kumar R, Parmer, R.S (1986) Weld bead geometry prediction for pulse MIG welding. In: Proceedings of an International Conference on Trends in Welding Technology, USA, May 18–22: 647–652

4. Srinivasa Rao P (2004) Development of arc rotation mechanism and experimental studies on pulsed GMA welding with and without arc rotation. I.I.T, Kharagpur

5. Srinivasa Rao P, Gupta O.P, Murty, S.S.N (2005) Influence of process parameters on bead geometry in pulsed gas metal arc welding. In: IIW International Congress on Frontiers of Welding Science and Technology, Mumbai

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