Simulation and controlling for weld shape process in P-GMAW based on fuzzy logic

A sensing and controlling system is established for pulsed gas metal arc welding (P-GMAW). The topside weld pool characterizing parameters can be captured in real-time and the back side weld pool width can be predicted from these parameters by a neural network model. A fuzzy controller is established and then the close loop controlling for weld penetration is realized. Based on some topside weld pool neural networks and the back side weld pool width neural network, a simulation system is constructed and the results suggest the fuzzy controller can meet the requirements of weld shape process controlling. The variable gap experiments also validate the performance of the fuzzy controller; the maxim controlling error is 0.47mm.

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