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Multi-beam fibre-optic laser scanning system for surface defect recognition

Abuazza, Abdulbaset, Brabazon, Dermot orcid logoORCID: 0000-0003-3214-6381 and El Baradie, M.A. (2004) Multi-beam fibre-optic laser scanning system for surface defect recognition. Journal of materials processing technology, 155-15 . pp. 2065-2070. ISSN 0924-0136

Abstract
Multi-beam scanning systems are being used in automated industrial manufacturing environments to determine surface defects. Recent methods of surface defect detection involve the use of fibre-optic light emitting and detection assemblies. This paper deals with the design and development of a new high-speed photo-electronic system. A line of five emitting diodes and five receiving photodiodes were used as light sources and detectors respectively. These arrays of emitting diodes and photo-detectors were positioned opposite each other. Data capture was controlled and analysed by PC using LabView software. A newly developed technique of using an angled array of fibres allows an adjustable resolution to be obtained with the system, with a maximum system resolution of approximately 100 m (the diameter of the collecting fibre core). This system was successfully used to measure various materials surface profile, surface roughness, thickness, and reflectivity. The advantages of this new system may be seen as lower cost, less bulky, greater resolution and flexibility.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Laser scanning; Resolution; Surface defects; Fibre arrays
Subjects:Engineering > Materials
Engineering > Mechanical engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Mechanical and Manufacturing Engineering
Publisher:Elsevier
Official URL:http://dx.doi.org/10.1016/j.jmatprotec.2004.04.339
Copyright Information:© 2004 Elsevier
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:20058
Deposited On:29 Jul 2014 10:30 by Shadi Karazi . Last Modified 27 Aug 2018 12:21
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