Surface texture measurement on complex geometry using dual-scan positioning strategy

In this paper, a surface measurement method based on dual-scan positioning strategy is presented to address the challenges of irregular surface patterns and complex geometries. A confocal sensor with an internal scanning mechanism was used in this study. By synchronizing the local scan, enabled by t...

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Main Authors: Cheng, Fang, Fu, Shaowei, Chen, Ziran
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/146184
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1461842023-03-04T17:12:39Z Surface texture measurement on complex geometry using dual-scan positioning strategy Cheng, Fang Fu, Shaowei Chen, Ziran School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Surface Texture Measurement Confocal Sensing In this paper, a surface measurement method based on dual-scan positioning strategy is presented to address the challenges of irregular surface patterns and complex geometries. A confocal sensor with an internal scanning mechanism was used in this study. By synchronizing the local scan, enabled by the internal actuator in the confocal sensor, and the global scans, enabled by external positioners, the developed system was able to perform noncontact line scan and area scan. Thus, this system was able to measure both surface roughness and surface uniformity. Unlike laboratory surface measurement equipment, the proposed system is reconfigurable for in situ measurement and able to scan free-form surfaces with a proper stand-off distance and approaching angle. For long-travel line scan, which is needed for rough surfaces, a surface form tracing algorithm was developed to ensure that the data were always captured within the sensing range of the confocal sensor. It was experimentally verified that in a scanning length of 100 mm, where the surface fluctuation in vertical direction is around 10 mm, the system was able to perform accurate surface measurement. For area scan, XY coordinates provided by the lateral positioning system and the Z coordinate captured by the confocal sensor were plotted into one coordinate system for 3D reconstruction. A coherence scanning interferometer and a confocal microscope were employed as the reference measurement systems to verify the performance of the proposed system in a scanning area of 1 mm by 1 mm. Experimental data showed that the proposed system was able to achieve comparable accuracy with laboratory systems. The measurement deviation was within 0.1 µm. Because line scan mechanisms are widely used in sensor design, the presented work can be generalized to expand the applications of line scan sensors. Published version 2021-01-29T05:50:19Z 2021-01-29T05:50:19Z 2020 Journal Article Cheng, F., Fu, S., & Chen, Z. (2020). Surface texture measurement on complex geometry using dual-scan positioning strategy. Applied Sciences, 10(23), 8418-. doi:10.3390/app10238418 2076-3417 https://hdl.handle.net/10356/146184 10.3390/app10238418 2-s2.0-85096683232 23 10 en Applied Sciences © 2020 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/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Surface Texture Measurement
Confocal Sensing
spellingShingle Engineering::Mechanical engineering
Surface Texture Measurement
Confocal Sensing
Cheng, Fang
Fu, Shaowei
Chen, Ziran
Surface texture measurement on complex geometry using dual-scan positioning strategy
description In this paper, a surface measurement method based on dual-scan positioning strategy is presented to address the challenges of irregular surface patterns and complex geometries. A confocal sensor with an internal scanning mechanism was used in this study. By synchronizing the local scan, enabled by the internal actuator in the confocal sensor, and the global scans, enabled by external positioners, the developed system was able to perform noncontact line scan and area scan. Thus, this system was able to measure both surface roughness and surface uniformity. Unlike laboratory surface measurement equipment, the proposed system is reconfigurable for in situ measurement and able to scan free-form surfaces with a proper stand-off distance and approaching angle. For long-travel line scan, which is needed for rough surfaces, a surface form tracing algorithm was developed to ensure that the data were always captured within the sensing range of the confocal sensor. It was experimentally verified that in a scanning length of 100 mm, where the surface fluctuation in vertical direction is around 10 mm, the system was able to perform accurate surface measurement. For area scan, XY coordinates provided by the lateral positioning system and the Z coordinate captured by the confocal sensor were plotted into one coordinate system for 3D reconstruction. A coherence scanning interferometer and a confocal microscope were employed as the reference measurement systems to verify the performance of the proposed system in a scanning area of 1 mm by 1 mm. Experimental data showed that the proposed system was able to achieve comparable accuracy with laboratory systems. The measurement deviation was within 0.1 µm. Because line scan mechanisms are widely used in sensor design, the presented work can be generalized to expand the applications of line scan sensors.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Cheng, Fang
Fu, Shaowei
Chen, Ziran
format Article
author Cheng, Fang
Fu, Shaowei
Chen, Ziran
author_sort Cheng, Fang
title Surface texture measurement on complex geometry using dual-scan positioning strategy
title_short Surface texture measurement on complex geometry using dual-scan positioning strategy
title_full Surface texture measurement on complex geometry using dual-scan positioning strategy
title_fullStr Surface texture measurement on complex geometry using dual-scan positioning strategy
title_full_unstemmed Surface texture measurement on complex geometry using dual-scan positioning strategy
title_sort surface texture measurement on complex geometry using dual-scan positioning strategy
publishDate 2021
url https://hdl.handle.net/10356/146184
_version_ 1759857038106558464