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Monitoring of abrasive water jet (AWJ) cutting using sound detection

Jurisevic, Bostjan ; Brissaud, Daniel ; Junkar, Mihael

In: The International Journal of Advanced Manufacturing Technology, 2004, vol. 24, no. 9-10, p. 733-737

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    Titre
    • Monitoring of abrasive water jet (AWJ) cutting using sound detection
    Auteur
    • Jurisevic, Bostjan. Swiss Competence Centre of Water Jet Technology, University of Applied Sciences, Klosterzelgstrasse, 5210, Windisch, Aargau, Switzerland
    • Brissaud, Daniel. Laboratory "Sols Solides Structures”, University of Grenoble, Domain Universitaire, 53, 38041, Grenoble, Cedex 9, France
    • Junkar, Mihael. Laboratory for Alternative Technologies, University of Ljubljana, Askerceva 6, 1000, Ljubljana, Slovenia
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • The International Journal of Advanced Manufacturing Technology, 2004, vol. 24, no. 9-10, p. 733-737. Springer London; www.springer.de
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:321265
    Summary
    Our main objective in the present work is to develop a methodology and create a system for the abrasive water jet (AWJ) machining process control. In the case of AWJ cutting, besides the cutting head traverse rate, the distance between the mixing tube and the workpiece, designated as the stand-off distance, has a predominant influence on the workpiece quality. The control of the traverse rate is performed by the machine controller. The stand off-distance control during the machining represents a problem because no effective on-line in real-time stand-off distance detection system has been developed yet. The detection of the stand-off distance during cutting enables better AWJ machining process control. order to monitor the stand-off distance, we measure the emitted sound generated during the AWJ straight cut operation and analyse its characteristic attributes. In order to verify the proposed stand-off distance monitoring methods, a set of experiments was carried out. The signal analysis was performed in both time and frequency domain. The obtained results show an evident influence of the stand-off distance on sound emission. Thus, efficient control of the AWJ cutting process through sound detection appears to be viable