Fiber optic displacement sensor for imaging of tooth surface roughness

A simple and inexpensive method using fiber optic displacement sensor is proposed for measurements of tooth surface roughness based on the intensity modulation technique. A light beam was launched onto a tooth surface via a bundled fiber. The reflected light from the surface was collected and measur...

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Main Authors: Rahman, H.A., Rahim, H.R.A., Ahmad, Harith, Yasin, M., Apsari, R., Harun, Sulaiman Wadi
Format: Article
Published: Elsevier 2013
Subjects:
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author Rahman, H.A.
Rahim, H.R.A.
Ahmad, Harith
Yasin, M.
Apsari, R.
Harun, Sulaiman Wadi
author_facet Rahman, H.A.
Rahim, H.R.A.
Ahmad, Harith
Yasin, M.
Apsari, R.
Harun, Sulaiman Wadi
author_sort Rahman, H.A.
collection UM
description A simple and inexpensive method using fiber optic displacement sensor is proposed for measurements of tooth surface roughness based on the intensity modulation technique. A light beam was launched onto a tooth surface via a bundled fiber. The reflected light from the surface was collected and measured as a function of lateral distance to estimate the roughness of the surface. The system’s roughness measurement capability was successfully tested on teeth surfaces of varying surface texture. In the measurement, the average surface roughness, Ra for the canine, molar, hybrid composite resin and artificial teeth surfaces were estimated to be approximately 121, 62.6, 39 and 37.6 μm, respectively. The experimental results indicated the capability of implementation of the displacement sensor for the imaging of the tooth surface profile as well as a micron-size roughness estimator with a measurement error of less than 2.35%.
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spelling um.eprints-143992018-10-09T05:57:57Z http://eprints.um.edu.my/14399/ Fiber optic displacement sensor for imaging of tooth surface roughness Rahman, H.A. Rahim, H.R.A. Ahmad, Harith Yasin, M. Apsari, R. Harun, Sulaiman Wadi QC Physics TK Electrical engineering. Electronics Nuclear engineering A simple and inexpensive method using fiber optic displacement sensor is proposed for measurements of tooth surface roughness based on the intensity modulation technique. A light beam was launched onto a tooth surface via a bundled fiber. The reflected light from the surface was collected and measured as a function of lateral distance to estimate the roughness of the surface. The system’s roughness measurement capability was successfully tested on teeth surfaces of varying surface texture. In the measurement, the average surface roughness, Ra for the canine, molar, hybrid composite resin and artificial teeth surfaces were estimated to be approximately 121, 62.6, 39 and 37.6 μm, respectively. The experimental results indicated the capability of implementation of the displacement sensor for the imaging of the tooth surface profile as well as a micron-size roughness estimator with a measurement error of less than 2.35%. Elsevier 2013-01 Article PeerReviewed Rahman, H.A. and Rahim, H.R.A. and Ahmad, Harith and Yasin, M. and Apsari, R. and Harun, Sulaiman Wadi (2013) Fiber optic displacement sensor for imaging of tooth surface roughness. Measurement, 46 (1). pp. 546-551. ISSN 0263-2241, DOI https://doi.org/10.1016/j.measurement.2012.08.013 <https://doi.org/10.1016/j.measurement.2012.08.013>. http://www.sciencedirect.com/science/article/pii/S0263224112003089 doi:10.1016/j.measurement.2012.08.013
spellingShingle QC Physics
TK Electrical engineering. Electronics Nuclear engineering
Rahman, H.A.
Rahim, H.R.A.
Ahmad, Harith
Yasin, M.
Apsari, R.
Harun, Sulaiman Wadi
Fiber optic displacement sensor for imaging of tooth surface roughness
title Fiber optic displacement sensor for imaging of tooth surface roughness
title_full Fiber optic displacement sensor for imaging of tooth surface roughness
title_fullStr Fiber optic displacement sensor for imaging of tooth surface roughness
title_full_unstemmed Fiber optic displacement sensor for imaging of tooth surface roughness
title_short Fiber optic displacement sensor for imaging of tooth surface roughness
title_sort fiber optic displacement sensor for imaging of tooth surface roughness
topic QC Physics
TK Electrical engineering. Electronics Nuclear engineering
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