A comparison of optical sensing methods for the high precision 3D surface profile measurement of grooved surfaces
McBride, J.W, Zhao, Z. and Boltryk, P. (2008) A comparison of optical sensing methods for the high precision 3D surface profile measurement of grooved surfaces. In, Proceedings ASPE 2008 Annual Meeting and the Twelfth ICPE. ASPE 2008 Annual Meeting and the Twelfth ICPE Raleigh, USA, American Society for Precision Engineering.
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A non-contact method has been shown to be the preferred solution for the scanning of valuable early sound recordings, such as wax cylinders and flat discs for the purpose of cultural preservation . This paper describes the operating principles and compares the performances of four different sensing techniques, including scanning white light interferometer (SWLI), con-focal laser (CL), con-focal white light sensor (WL), and atomic force microscope (AFM), in a range of measurement tasks. The con-focal systems described in this paper are used in a 3 dimensional (3D) cylinder scanning system for the measurement of wax cylinder recordings, where the 3D data is used to create a map of the measured surface. The generation of the map allows the sound recorded on the surface to be decoded without physical contact to the surface. The main advantage of the con-focal system is the scanning speed. Reference samples with sinusoidal and rectangular profiles are used to investigate the effects of surface inclination angle and the interaction between the sensor head and the measured surface. The effects of precision mode, grid spacing and spot size on surface height measurements are investigated.
|Item Type:||Book Section|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TA Engineering (General). Civil engineering (General)
|Divisions :||University Structure - Pre August 2011 > School of Engineering Sciences > Electro-Mechanical Engineering
|Accepted Date and Publication Date:||
|Date Deposited:||06 Nov 2008|
|Last Modified:||31 Mar 2016 12:48|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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