Abstract
For welding seam tracking of multi-layer single pass welding by narrow gap rotating arc gas metal arc welding (GTAW), an intelligent modeling method based on rough sets (RS) theory for welding deviation was put forward. First, work piece was designed and processed to mimic multi-layer single pass welding groove, and enough experimental data were acquired under different deviations. Second, the input of the model was selected and processed to build decision table. Then after discretization and reduction for decision table, the knowledge model in "IF...THEN" form was obtained. At last the model was validated and compared with BP net model. It showed that the both models had similar predictive capability, and RS model precise could meet actual needs. Further more, RS model had better comprehensibility, and was useful to find potential laws between seam deviations and welding electrical signals from experimental data. The research was helpful for further controller design.
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