Using spectral parameters of compressed arc plasma to develop basic approaches to smart welding
It is proposed to analyze the spectral composition of the arc plasma on-line by pre-selected lines using CCD detectors with a sensitivity range of 190˜1100 nm and a response time of 4 ms. The analysis performed will allow recording the overall temperature (energy) of the plasma and the stability of welding. The information obtained will be analyzed by self-learning neural networks to improve the quality of automated control of welding processes.
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