• Posinaseeti, Praveen
• Yarlagadda, Prasad Kdv
• Madasu, Vamsi

Abstract

Avoiding short circuit is an essential condition for achieving good quality welds in Pulse GasMetal Arc Welding (GMAW-P). Estimating short circuit in any welding process is dependent onproper selection and optimization of welding process parameters. Such optimization is critical inthe GMAW-P wherein wire melting is closely dictated by numerous pulsing parameters incomparison to the conventional GMAW process. Fuzzy Logic based models are an excellentalternative in such situations where a complex relationship between the large number ofpredictor variables (independents, inputs) and predicted variables (dependents, outputs) existand are not easy to articulate in the usual terms of correlations or differences between groups. Inthis paper, we have proposed an input output fuzzy model for estimating the short circuitseverity in terms of number of shorts per pulse for GMAW-P process. Eighteen factorsrepresenting the characteristics of the pulse waveforms are employed as predictor variables andthe short circuit severity (or number of shorts per pulse) is predicted on the basis of a modifiedexponential membership function fitted to the fuzzy sets derived from predictor variables. Theexponential membership function is modified by two structural parameters that are estimatedby optimizing the criterion function associated with the fuzzy modeling. The experimental dataconsists of GMAW-P welding of 6XXX group of aluminum alloys. The results demonstrate thatproposed fuzzy model could estimate the short circuit severity with high accuracy.

Topics

• impedance spectroscopy
• aluminium
• wire