Title :
Quality analysis measurement for laser cutting
Author :
Roggero, Giulio ; Scotti, Fabio ; Sessa, F.S. ; Piuri, Vincenzo
Author_Institution :
Dipartimento di Elettronica e Inf., Politecnico di Milano, Italy
Abstract :
A new approach to automated quality measurement of laser cut in industrial metal cutting processes is presented. The paper demonstrates how it is possible to exploit the link between the shape of the erupted sparks from the metallic piece and the final quality of the edges of the laser cut, and proposes a solution to automate the quality measurement. The analysis of the shape of the sparks is performed by using images from a camera during real-time functioning. The trade-off between accuracy and robustness versus complexity was considered in order to achieve a prototype solution working in real time
Keywords :
cutting; image processing; metallurgical industries; neural nets; quality control; real-time systems; camera; feature extraction; image processing; industrial metal cutting processes; laser cutting; neural networks; quality measurement; real-time system; sparks; Cameras; Cutting tools; Image analysis; Inspection; Laser beam cutting; Manufacturing industries; Metals industry; Shape measurement; Sparks; Temperature sensors;
Conference_Titel :
Virtual and Intelligent Measurement Systems, 2001, IEEE International Workshop on. VIMS 2001
Conference_Location :
Budapest
Print_ISBN :
0-7803-6568-2
DOI :
10.1109/VIMS.2001.924898