Authors: Marjan Golob, Arpad Koves
Addresses: University of Maribor, Faculty of Electrical Engineering and Computer Science, Institute of Automation, Process Automation Laboratory, Smetanova 17, 2000 Maribor, Slovenia. ' Welding Institute, Ptujska 19, 1000 Ljubljana, Slovenia
Abstract: Conventional methods, e.g. destructive and non-destructive testing methods, are expensive and time-consuming; therefore, possibilities of online and automated quality control of a welding process during welding as such are investigated. The paper deals with the possibilities of application of fuzzy logic to the analysis of weld quality, particularly assessment of the weld surface condition by means of measurable electric signals emitted during welding. A simple fuzzy inference system was realised which could relatively efficiently assess the weld quality on the basis of time variations of the welding voltage and short-circuit time in a certain time window.
Keywords: fuzzy systems; fuzzy logic; gas metal arc welding; GMAW; quality monitoring; statistical analysis; quality control; weld quality.
International Journal of Materials and Product Technology, 2007 Vol.29 No.1/2/3/4, pp.228 - 243
Published online: 09 Apr 2007 *Full-text access for editors Access for subscribers Purchase this article Comment on this article