CMT penetration status prediction based on temperature field distribution of weld pool

The penetration status of welding seam is an important index for evaluating the welding forming quality, most of the traditional methods for predicting the penetration status are based on the vision sensing method, by extracting the two-dimensional or three-dimensional geometric features of weld pool, establishing the relationship between geometric features of weld pool and the penetration status. In this paper, a prediction method of Cold Metal Transfer(CMT) penetration status based on the temperature distribution in the local area of weld pool is proposed, this method does not need to obtain the full field visual information of weld pool, and can realize the prediction of CMT penetration status by detecting the temperature distribution in the local area of weld pool. Based on color CCD, the temperature field detection system of weld pool is designed, and the relatively simple temperature measurement equation is fitted through the calibration experiment. Taking the temperature in the local area of weld pool as the input and the penetration status as the output, by using Support Vector Machine(SVM) for classification, establishing the penetration status prediction model, the experimental results show that the model can effectively predict the CMT penetration status.