caa a22 4500 475798201 CHVBK 20180406123730.0 cr unu---uuuuu 170329e20000701xx s 000 0 eng 10.1007/s001700070035 doi (NATIONALLICENCE)springer-10.1007/s001700070035 Fuzzy Rule Based Prediction System of Surface Damage in the Laser Cleaning Process [Elektronische Daten] [J. M. Lee, K. G. Watkins, W. M. Steen] During laser cleaning, surface damage on the substrate could easily occur by overexposure to a laser pulse of high fluence. Successful cleaning without surface damage can be achieved by skilled operators with long experience and good technique. This paper presents a fuzzy rule based expert system to predict surface damage during laser cleaning in the same way as a human expert. In this work, a fuzzy rule base was used to embed the acoustic information, which gives an indication of both progress in cleaning and the result. This is achieved by a wide-band microphone. An inference process was conducted to predict whether and how much surface damage would be induced on the substrate. Tests of the performance of the fuzzy system showed that the prediction of surface damage is well correlated with the actual results, independent of initial surface conditions. Based on the prediction of surface damage, the process control algorithm of laser cleaning has been developed.: Springer-Verlag London Limited, 2000 Keywords: Acoustic wave nationallicence Fuzzy rule based expert system nationallicence Laser cleaning nationallicence Prediction of surface damage nationallicence Process control algorithm nationallicence Lee J. M. Laser Group, Department of Engineering, University of Liverpool, Brownlow Street, Liverpool L69 3GH, UK, GB aut Watkins K. G. Laser Group, Department of Engineering, University of Liverpool, Brownlow Street, Liverpool L69 3GH, UK, GB aut Steen W. M. Laser Group, Department of Engineering, University of Liverpool, Brownlow Street, Liverpool L69 3GH, UK, GB aut https://doi.org/10.1007/s001700070035 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s001700070035 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lee J. M. Laser Group, Department of Engineering, University of Liverpool, Brownlow Street, Liverpool L69 3GH, UK, GB aut NATIONALLICENCE 700 1- Watkins K. G. Laser Group, Department of Engineering, University of Liverpool, Brownlow Street, Liverpool L69 3GH, UK, GB aut NATIONALLICENCE 700 1- Steen W. M. Laser Group, Department of Engineering, University of Liverpool, Brownlow Street, Liverpool L69 3GH, UK, GB aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer