Abstract
Pulsed laser spot welding is used in the manufacture of many goods. Because weak joints can lead to product defects, it is important to monitor and control the joint strength precisely. This paper introduces a method to estimate the joint strength of spot welds during the welding process. A point infrared sensor is used to measure temporal radiation on the top face of the spot weld. Because variable measuring conditions affect the radiation power, a scale-free radiation feature is extracted from the measured radiation and used as a monitoring criterion. An artificial neural network (ANN) uses this feature to estimate joint strength. In experiments, significant welding parameters are varied within a controllable range, and 640 weld parts are used for ANN learning. The correlation coefficient between the estimated and measured strength is more than 0.98 for learned parts. Another 180 weld parts are used to appraise the efficiency of the learned ANN, and the mean square error of estimation is 0.78 kgf.
Published Version
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