Characterization and optimization of illumination vector for contouring surface form and feature using DSPI

Surface defect or damage is one of the critical factors leading to the failure of engineering materials and structures. The methodologies for the measurement of surface shape and feature or defect have been extensively explored and developed over the past few decades, including both contact and non-...

Full description

Saved in:
Bibliographic Details
Main Authors: Song, Chaolong, Prasad, A. S. Guru, Chan, Kelvin H. K., Murukeshan, Vadakke Matham
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/89701
http://hdl.handle.net/10220/47126
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-89701
record_format dspace
spelling sg-ntu-dr.10356-897012023-03-04T17:14:24Z Characterization and optimization of illumination vector for contouring surface form and feature using DSPI Song, Chaolong Prasad, A. S. Guru Chan, Kelvin H. K. Murukeshan, Vadakke Matham School of Mechanical and Aerospace Engineering Rolls-Royce@NTU Corporate Lab DRNTU::Engineering::Mechanical engineering Linear Filters Acoustic Noise Surface defect or damage is one of the critical factors leading to the failure of engineering materials and structures. The methodologies for the measurement of surface shape and feature or defect have been extensively explored and developed over the past few decades, including both contact and non-contact methods. Speckle pattern interferometry, as a non-contact optical method, has been demonstrated to effectively contour the surface shape through adjusting the illumination vector. However, few studies have been made to investigate the effect of the initial position of the illumination source as well as the source translation direction. In this paper, we report to carry out a study of measuring the surface form and feature using digital speckle pattern interferometry system via a slight translation of illumination source. Through theoretically analyzing the sensitivity factor along with the experimental validation, it is shown that the contouring fringe is more sensitive to the surface height with an off-axis illumination than the paraxial illumination. It is also found that translating the source along axial and lateral direction can be both used for the surface shape re-construction. NRF (Natl Research Foundation, S’pore) Published version 2018-12-20T07:01:22Z 2019-12-06T17:31:31Z 2018-12-20T07:01:22Z 2019-12-06T17:31:31Z 2016 Journal Article Song, C., Prasad, A. S. G., Chan, K. H. K., & Murukeshan, V. M. (2016). Characterization and optimization of illumination vector for contouring surface form and feature using DSPI. Review of Scientific Instruments, 87(6), 063116-. doi:10.1063/1.4953884 0034-6748 https://hdl.handle.net/10356/89701 http://hdl.handle.net/10220/47126 10.1063/1.4953884 en Review of Scientific Instruments © 2016 The Author(s) (Published by AIP). This paper was published in Review of Scientific Instruments and is made available as an electronic reprint (preprint) with permission of The Author(s) (Published by AIP). The published version is available at: [http://dx.doi.org/10.1063/1.4953884]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 8 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 DRNTU::Engineering::Mechanical engineering
Linear Filters
Acoustic Noise
spellingShingle DRNTU::Engineering::Mechanical engineering
Linear Filters
Acoustic Noise
Song, Chaolong
Prasad, A. S. Guru
Chan, Kelvin H. K.
Murukeshan, Vadakke Matham
Characterization and optimization of illumination vector for contouring surface form and feature using DSPI
description Surface defect or damage is one of the critical factors leading to the failure of engineering materials and structures. The methodologies for the measurement of surface shape and feature or defect have been extensively explored and developed over the past few decades, including both contact and non-contact methods. Speckle pattern interferometry, as a non-contact optical method, has been demonstrated to effectively contour the surface shape through adjusting the illumination vector. However, few studies have been made to investigate the effect of the initial position of the illumination source as well as the source translation direction. In this paper, we report to carry out a study of measuring the surface form and feature using digital speckle pattern interferometry system via a slight translation of illumination source. Through theoretically analyzing the sensitivity factor along with the experimental validation, it is shown that the contouring fringe is more sensitive to the surface height with an off-axis illumination than the paraxial illumination. It is also found that translating the source along axial and lateral direction can be both used for the surface shape re-construction.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Song, Chaolong
Prasad, A. S. Guru
Chan, Kelvin H. K.
Murukeshan, Vadakke Matham
format Article
author Song, Chaolong
Prasad, A. S. Guru
Chan, Kelvin H. K.
Murukeshan, Vadakke Matham
author_sort Song, Chaolong
title Characterization and optimization of illumination vector for contouring surface form and feature using DSPI
title_short Characterization and optimization of illumination vector for contouring surface form and feature using DSPI
title_full Characterization and optimization of illumination vector for contouring surface form and feature using DSPI
title_fullStr Characterization and optimization of illumination vector for contouring surface form and feature using DSPI
title_full_unstemmed Characterization and optimization of illumination vector for contouring surface form and feature using DSPI
title_sort characterization and optimization of illumination vector for contouring surface form and feature using dspi
publishDate 2018
url https://hdl.handle.net/10356/89701
http://hdl.handle.net/10220/47126
_version_ 1759853533186752512