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Prediction of weld quality in pulsed current GMAW process using artificial neural network

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Title Prediction of weld quality in pulsed current GMAW process using artificial neural network
 
Creator DE, A
JANTRE, J
GHOSH, PK
 
Subject zn-mg alloy
mechanical-properties
materials science
bead geometry
part 2
penetration
parameters
strength
shape
pool
gas metal arc welding
pulsed current
neural network
weld quality
 
Description Weld joint dimensions and weld metal mechanical properties are important quality characteristics of any welded joint. The success of building these characteristics in any welding situation depends on proper selection-cum-optimisation of welding process parameters. Such optimisation is critical in the pulsed current gas metal arc welding process (GMAW-P), as the heat input here is closely dictated by a host of additional pulse parameters in comparison to the conventional gas metal are welding process. Neural network based models are excellent alternatives in such situations where a large number of input conditions govern certain outputs in a manner that is often difficult to adjudge a priori. Six individual prediction models dei;eloped using neural network methodology are presented here to estimate ultimate tensile strength, elongation, impact toughness, weld bead width, weld reinforcement height and penetration of the final weld joint as a function of four pulse parameters, e.g. peak current, base current, pulse on time and pulse frequency. The experimental data employed here are for GMA W-P welding of extruded sections of high strength Al-Zn-Mg alloy (7005). In each case, a committee of different possible network architectures is used, including the final optimum network, to assess the uncertainty in estimation. The neural network models developed here could estimate all the outputs except penetration fairly accurately.
 
Publisher MANEY PUBLISHING
 
Date 2011-08-18T05:51:34Z
2011-12-26T12:55:36Z
2011-12-27T05:41:25Z
2011-08-18T05:51:34Z
2011-12-26T12:55:36Z
2011-12-27T05:41:25Z
2004
 
Type Article
 
Identifier SCIENCE AND TECHNOLOGY OF WELDING AND JOINING, 9(3), 253-259
1362-1718
http://dx.doi.org/10.1179/136217104225012328
http://dspace.library.iitb.ac.in/xmlui/handle/10054/9907
http://hdl.handle.net/10054/9907
 
Language en