Robot-assisted track-scan imaging approach with multiple incident angles for complexly structured parts

The ever-increasing use of complexly structured parts in modern manufacturing introduces new challenges to the inspection. However, high detection coverage and the contrast of ultrasonic images cannot be obtained by conventional B-scan imaging. To improve the quality of ultrasonic imaging of nonplan...

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Main Authors: Mei, Yujian, Jin, Haoran, Yu, Bei, Wu, Eryong, Li, Liqiang, Yang, Keji
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/161334
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1613342022-08-25T08:46:14Z Robot-assisted track-scan imaging approach with multiple incident angles for complexly structured parts Mei, Yujian Jin, Haoran Yu, Bei Wu, Eryong Li, Liqiang Yang, Keji School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Ultrasonic Image Reconstruction Robotics The ever-increasing use of complexly structured parts in modern manufacturing introduces new challenges to the inspection. However, high detection coverage and the contrast of ultrasonic images cannot be obtained by conventional B-scan imaging. To improve the quality of ultrasonic imaging of nonplanar components, we propose a robot-assisted track-scan imaging approach with multiple incident angles, and we have developed an ultrasonic data acquisition platform to implement it. The main idea of this method is to use multiple incident angles to improve the transfer of wave energy into the sample. Using rich information gathered from different incident angles, a nonplanar surface is correctly imaged by the proposed method. As seen from the experimental results, the proposed method can increase the detection coverage and contrast of images. Comparing different scanning trajectories and imaging methods, the detection coverage is improved by up to 57.3% and 88.7% for curved and inclined surfaces, respectively, by the proposed method. Similarly, the contrast-to-noise ratio increases up to 8.04 dB and 8.58 dB, respectively. Thus, our method has great potential for application in nondestructive ultrasonic imaging of complex-structure parts. 2022-08-25T08:46:14Z 2022-08-25T08:46:14Z 2021 Journal Article Mei, Y., Jin, H., Yu, B., Wu, E., Li, L. & Yang, K. (2021). Robot-assisted track-scan imaging approach with multiple incident angles for complexly structured parts. Journal of Testing and Evaluation, 49(1), 675-689. https://dx.doi.org/10.1520/JTE20190908 0090-3973 https://hdl.handle.net/10356/161334 10.1520/JTE20190908 2-s2.0-85094979766 1 49 675 689 en Journal of Testing and Evaluation © 2021 ASTM International. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Ultrasonic Image Reconstruction
Robotics
spellingShingle Engineering::Electrical and electronic engineering
Ultrasonic Image Reconstruction
Robotics
Mei, Yujian
Jin, Haoran
Yu, Bei
Wu, Eryong
Li, Liqiang
Yang, Keji
Robot-assisted track-scan imaging approach with multiple incident angles for complexly structured parts
description The ever-increasing use of complexly structured parts in modern manufacturing introduces new challenges to the inspection. However, high detection coverage and the contrast of ultrasonic images cannot be obtained by conventional B-scan imaging. To improve the quality of ultrasonic imaging of nonplanar components, we propose a robot-assisted track-scan imaging approach with multiple incident angles, and we have developed an ultrasonic data acquisition platform to implement it. The main idea of this method is to use multiple incident angles to improve the transfer of wave energy into the sample. Using rich information gathered from different incident angles, a nonplanar surface is correctly imaged by the proposed method. As seen from the experimental results, the proposed method can increase the detection coverage and contrast of images. Comparing different scanning trajectories and imaging methods, the detection coverage is improved by up to 57.3% and 88.7% for curved and inclined surfaces, respectively, by the proposed method. Similarly, the contrast-to-noise ratio increases up to 8.04 dB and 8.58 dB, respectively. Thus, our method has great potential for application in nondestructive ultrasonic imaging of complex-structure parts.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Mei, Yujian
Jin, Haoran
Yu, Bei
Wu, Eryong
Li, Liqiang
Yang, Keji
format Article
author Mei, Yujian
Jin, Haoran
Yu, Bei
Wu, Eryong
Li, Liqiang
Yang, Keji
author_sort Mei, Yujian
title Robot-assisted track-scan imaging approach with multiple incident angles for complexly structured parts
title_short Robot-assisted track-scan imaging approach with multiple incident angles for complexly structured parts
title_full Robot-assisted track-scan imaging approach with multiple incident angles for complexly structured parts
title_fullStr Robot-assisted track-scan imaging approach with multiple incident angles for complexly structured parts
title_full_unstemmed Robot-assisted track-scan imaging approach with multiple incident angles for complexly structured parts
title_sort robot-assisted track-scan imaging approach with multiple incident angles for complexly structured parts
publishDate 2022
url https://hdl.handle.net/10356/161334
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