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Study on Practical Application for In-process Detection Method of Blowholes

Kazuki KASANO, Yosuke OGINO, Tomokazu Sano, Satoru Asai

Year
2021
Citations
2

Abstract

For the development of in-process Blow Hole(BH) detection and prediction technology, welding system with infrared camera and welding robot was integrated and the authors verified the detection of welding phenomena directly associated with the occurrence of BH. In addition, an image analysis index for welding defect detection and prediction was considered. It was clarified that it is possible to observe the bubbling phenomena just under the arc due to the blow hole generation by the welding system. In addition, it was considered possible to detect and predict the occurrence of BH with high accuracy by analyzing the observation frequency of the bubble generation phenomenon directly under the arc with an appropriate index.

Keywords

Process (computing)Materials scienceComputer scienceOperating system

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