F. Scotti, Intelligent systems for quality monitoring in laser processing applications, Proc. of the IEEE Instrumentation and Measurement Technology Conf. (IMTC 2004), May 2004.
Industrial informatics
Laser Cut Inspection
Real-time quality monitoring in laser cutting applications is a key issue in high-tech steel manufacturing industries. We have studied an automated system for intelligent quality analyses that acquires frames related to the temporal evolution of sparks generated by the interaction of the laser with the metal as well as process-related parameters and, on the basis of extracted features, judges the quality of the current cut. It has been demonstrated the existence of a relationship between the shape assumed by the sparks and the quality of the final cut. Based on such relationship, a quality analysis system has been designed, which integrates traditional image processing methods and soft-computing paradigms in order to control the balance between the accuracy of the quality analysis and the computational complexity (related to real-time constraints).
The research have been performed in collaboration with TRUMPF.
The research have been performed in collaboration with TRUMPF.
Relevant publications
C. Alippi, V. Bono, V. Piuri, F. Scotti, Toward real-time quality analysis measurement of metal laser cutting, Proc. of the 2002 IEEE Int. Symp. on Virtual and Intelligent Measurement Systems (VIMS 2002), pp. 39-44, Girdwood, AK, USA, May 2002, ISSN 0-7803-7344-8.
G. Roggero, F. Scotti, F. Soncini Sessa, V. Piuri, Quality analysis measurement for laser cutting, Proc. of the 2001 IEEE Int. Workshop on Virtual and Intelligent Measurement Systems (VIMS 2001), pp. 41-44, Budapest, Hungary, May 2001, ISSN 0-7803-6568-2.