A non-contact measuring system for in-situ surface characterization based on laser confocal microscopy

The characterization of surface topographic features on a component is typically quantified using two-dimensional roughness descriptors which are captured by off-line desktop instruments. Ideally any measurement system should be integrated into the manufacturing process to provide in-situ measuremen...

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Main Authors: Fu, Shaowei, Cheng, Fang, Tjahjowidodo, Tegoeh, Zhou, Yu, Butler, David
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/88968
http://hdl.handle.net/10220/46015
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-889682023-03-04T17:15:10Z A non-contact measuring system for in-situ surface characterization based on laser confocal microscopy Fu, Shaowei Cheng, Fang Tjahjowidodo, Tegoeh Zhou, Yu Butler, David School of Mechanical and Aerospace Engineering Non-contact Surface Roughness DRNTU::Engineering::Mechanical engineering The characterization of surface topographic features on a component is typically quantified using two-dimensional roughness descriptors which are captured by off-line desktop instruments. Ideally any measurement system should be integrated into the manufacturing process to provide in-situ measurement and real-time feedback. A non-contact in-situ surface topography measuring system is proposed in this paper. The proposed system utilizes a laser confocal sensor in both lateral and vertical scanning modes to measure the height of the target features. The roughness parameters are calculated in the developed data processing software according to ISO 4287. To reduce the inherent disadvantage of confocal microscopy, e.g., scattering noise at steep angles and background noise from specular reflection from the optical elements, the developed system has been calibrated and a linear correction factor has been applied in this study. A particular challenge identified for this work is the in-situ measurement of features generated by a robotized surface finishing system. The proposed system was integrated onto a robotic arm with the measuring distance and angle adjusted during measurement based on a CAD model of the component in question. Experimental data confirms the capability of this system to measure the surface roughness within the Ra range of 0.2–7 μm (bandwidth λc/λs of 300), with a relative accuracy of 5%. ASTAR (Agency for Sci., Tech. and Research, S’pore) Published version 2018-09-18T01:43:01Z 2019-12-06T17:14:50Z 2018-09-18T01:43:01Z 2019-12-06T17:14:50Z 2018 Journal Article Fu, S., Cheng, F., Tjahjowidodo, T., Zhou, Y., & Butler, D. (2018). A non-contact measuring system for in-situ surface characterization based on laser confocal microscopy. Sensors, 18(8), 2657-. doi:10.3390/s18082657 1424-8220 https://hdl.handle.net/10356/88968 http://hdl.handle.net/10220/46015 10.3390/s18082657 en Sensors © 2018 by The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 15 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Non-contact
Surface Roughness
DRNTU::Engineering::Mechanical engineering
spellingShingle Non-contact
Surface Roughness
DRNTU::Engineering::Mechanical engineering
Fu, Shaowei
Cheng, Fang
Tjahjowidodo, Tegoeh
Zhou, Yu
Butler, David
A non-contact measuring system for in-situ surface characterization based on laser confocal microscopy
description The characterization of surface topographic features on a component is typically quantified using two-dimensional roughness descriptors which are captured by off-line desktop instruments. Ideally any measurement system should be integrated into the manufacturing process to provide in-situ measurement and real-time feedback. A non-contact in-situ surface topography measuring system is proposed in this paper. The proposed system utilizes a laser confocal sensor in both lateral and vertical scanning modes to measure the height of the target features. The roughness parameters are calculated in the developed data processing software according to ISO 4287. To reduce the inherent disadvantage of confocal microscopy, e.g., scattering noise at steep angles and background noise from specular reflection from the optical elements, the developed system has been calibrated and a linear correction factor has been applied in this study. A particular challenge identified for this work is the in-situ measurement of features generated by a robotized surface finishing system. The proposed system was integrated onto a robotic arm with the measuring distance and angle adjusted during measurement based on a CAD model of the component in question. Experimental data confirms the capability of this system to measure the surface roughness within the Ra range of 0.2–7 μm (bandwidth λc/λs of 300), with a relative accuracy of 5%.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Fu, Shaowei
Cheng, Fang
Tjahjowidodo, Tegoeh
Zhou, Yu
Butler, David
format Article
author Fu, Shaowei
Cheng, Fang
Tjahjowidodo, Tegoeh
Zhou, Yu
Butler, David
author_sort Fu, Shaowei
title A non-contact measuring system for in-situ surface characterization based on laser confocal microscopy
title_short A non-contact measuring system for in-situ surface characterization based on laser confocal microscopy
title_full A non-contact measuring system for in-situ surface characterization based on laser confocal microscopy
title_fullStr A non-contact measuring system for in-situ surface characterization based on laser confocal microscopy
title_full_unstemmed A non-contact measuring system for in-situ surface characterization based on laser confocal microscopy
title_sort non-contact measuring system for in-situ surface characterization based on laser confocal microscopy
publishDate 2018
url https://hdl.handle.net/10356/88968
http://hdl.handle.net/10220/46015
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