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Procedia CIRP v.72, 2018년, pp.1542 - 1547  

A cognitive approach for quality assessment in laser welding

Stavridis, John (Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, Patras 26504, Greece ) ; Papacharalampopoulos, Alexios (Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, Patras 26504, Greece ) ; Stavropoulos, Panagiotis (Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, Patras 26504, Greece ) ;
  • 초록  

    Abstract Quality assessment in laser welding is of outmost importance. A plethora of in-line inspection techniques have been developed identifying melt pool geometry and weld defects for quality evaluation. This paper aims to introduce a cognitive assessment method for the prediction of weld quality and classification into different quality categories. The study corresponds to camera-based monitoring approaches utilizing thermal images obtained from process simulation models where artificial defects were inserted. A dimensionality reduction technique is deployed, and an image processing technique is afterwards implemented to identify weld defects based on specific melt pool features. A classification algorithm has also been developed and validated.


  • 주제어

    Quality assessment .   Cognitive control .   Defects recognition .   Laser processing.  

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