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In arc welding processes, real time control algorithms have to be developed in order to achieve desired weld quality. However, there could exist big uncertainties and noise in the process, which nullifies the conventional online control method. Besides, due to the modelling difficulty and low experimental efficiency, this task is usually performed offline. In this paper, a real time parameter optimization...
predicting characteristic performance of the arc welding process is an underlying task for online weld quality control. As a continuous yet complex high-thermal welding process, conventional modelling method can be ineffective in the presence of big uncertainties and noise. Besides, experiments and evaluations could be costly and very inefficient because of resource utilization, energy consumption,...
Skills possessed by human welders typically require a long time to develop. Especially, maintaining the torch to travel in desired speed is challenging. In this paper, a feedback control system is designed and implemented to assist the welder to adjust the torch movement for the desired speed in manual gas tungsten arc welding (GTAW) process. To this end, an innovative helmet based manual welding...
Modeling of skilled human welder's response to 3D weld pool surface can help develop next generation intelligent robotic welding systems and train welders faster. In this paper, neuro-fuzzy based data driven modeling of human welder intelligence is conducted. An innovative vision system is utilized to real-time measure the specular 3D weld pool surface under strong arc interference. Experiments are...
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