Surface acoustic wave propagation in the variable-thickness complex shape components

Xipeng Li; Chunguang Xu; Chao Yang

doi:10.1109/FENDT.2016.7992012

Surface acoustic wave propagation in the variable-thickness complex shape components

Xipeng Li, Chunguang Xu^*, Chao Yang

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Variable-thickness curved components, that have been widely used in many fields, are always caused serious accidents by the surface and subsurface defects, Therefore, how to detect and identify the variable-thickness complex shape components defects is of great significance. For the variable-thickness shape components' surface and sub-surface defects' detecting, it has been testified that surface wave detecting theory is correct by analyzing the effects of curvature radius to the surface wave's velocity and wave number theoretically. Based on the theoretical analysis conclusions and the wavelet signal processing method, a synthetically defect location identification method has been presented. Finally, the defect orientation identification has been researched more accurately with the principle of ellipse imaging algorithm. The experimental results show that the surface wave detecting method could detect the location, depth and orientation of defect in the variable-thickness complex shape components accurately.

Original language	English
Title of host publication	Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016
Editors	Chunguang Xu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	136-140
Number of pages	5
ISBN (Electronic)	9781509026630
DOIs	https://doi.org/10.1109/FENDT.2016.7992012
Publication status	Published - 25 Jul 2017
Event	2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016 - Nanchang, China Duration: 22 Jun 2016 → 24 Jun 2016

Publication series

Name	Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016

Conference

Conference	2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016
Country/Territory	China
City	Nanchang
Period	22/06/16 → 24/06/16

Keywords

Acoustic nondestructive
Curved surface
Variable-thickness
Wavelet transform

Access to Document

10.1109/FENDT.2016.7992012

Cite this

Li, X., Xu, C., & Yang, C. (2017). Surface acoustic wave propagation in the variable-thickness complex shape components. In C. Xu (Ed.), Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016 (pp. 136-140). Article 7992012 (Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FENDT.2016.7992012

Li, Xipeng ; Xu, Chunguang ; Yang, Chao. / Surface acoustic wave propagation in the variable-thickness complex shape components. Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016. editor / Chunguang Xu. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 136-140 (Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016).

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title = "Surface acoustic wave propagation in the variable-thickness complex shape components",

abstract = "Variable-thickness curved components, that have been widely used in many fields, are always caused serious accidents by the surface and subsurface defects, Therefore, how to detect and identify the variable-thickness complex shape components defects is of great significance. For the variable-thickness shape components' surface and sub-surface defects' detecting, it has been testified that surface wave detecting theory is correct by analyzing the effects of curvature radius to the surface wave's velocity and wave number theoretically. Based on the theoretical analysis conclusions and the wavelet signal processing method, a synthetically defect location identification method has been presented. Finally, the defect orientation identification has been researched more accurately with the principle of ellipse imaging algorithm. The experimental results show that the surface wave detecting method could detect the location, depth and orientation of defect in the variable-thickness complex shape components accurately.",

keywords = "Acoustic nondestructive, Curved surface, Variable-thickness, Wavelet transform",

author = "Xipeng Li and Chunguang Xu and Chao Yang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016 ; Conference date: 22-06-2016 Through 24-06-2016",

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doi = "10.1109/FENDT.2016.7992012",

language = "English",

series = "Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016",

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Li, X, Xu, C & Yang, C 2017, Surface acoustic wave propagation in the variable-thickness complex shape components. in C Xu (ed.), Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016., 7992012, Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016, Institute of Electrical and Electronics Engineers Inc., pp. 136-140, 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016, Nanchang, China, 22/06/16. https://doi.org/10.1109/FENDT.2016.7992012

Surface acoustic wave propagation in the variable-thickness complex shape components. / Li, Xipeng; Xu, Chunguang; Yang, Chao.
Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016. ed. / Chunguang Xu. Institute of Electrical and Electronics Engineers Inc., 2017. p. 136-140 7992012 (Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Surface acoustic wave propagation in the variable-thickness complex shape components

AU - Li, Xipeng

AU - Xu, Chunguang

AU - Yang, Chao

PY - 2017/7/25

Y1 - 2017/7/25

N2 - Variable-thickness curved components, that have been widely used in many fields, are always caused serious accidents by the surface and subsurface defects, Therefore, how to detect and identify the variable-thickness complex shape components defects is of great significance. For the variable-thickness shape components' surface and sub-surface defects' detecting, it has been testified that surface wave detecting theory is correct by analyzing the effects of curvature radius to the surface wave's velocity and wave number theoretically. Based on the theoretical analysis conclusions and the wavelet signal processing method, a synthetically defect location identification method has been presented. Finally, the defect orientation identification has been researched more accurately with the principle of ellipse imaging algorithm. The experimental results show that the surface wave detecting method could detect the location, depth and orientation of defect in the variable-thickness complex shape components accurately.

AB - Variable-thickness curved components, that have been widely used in many fields, are always caused serious accidents by the surface and subsurface defects, Therefore, how to detect and identify the variable-thickness complex shape components defects is of great significance. For the variable-thickness shape components' surface and sub-surface defects' detecting, it has been testified that surface wave detecting theory is correct by analyzing the effects of curvature radius to the surface wave's velocity and wave number theoretically. Based on the theoretical analysis conclusions and the wavelet signal processing method, a synthetically defect location identification method has been presented. Finally, the defect orientation identification has been researched more accurately with the principle of ellipse imaging algorithm. The experimental results show that the surface wave detecting method could detect the location, depth and orientation of defect in the variable-thickness complex shape components accurately.

KW - Acoustic nondestructive

KW - Curved surface

KW - Variable-thickness

KW - Wavelet transform

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Li X, Xu C, Yang C. Surface acoustic wave propagation in the variable-thickness complex shape components. In Xu C, editor, Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 136-140. 7992012. (Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016). doi: 10.1109/FENDT.2016.7992012

Surface acoustic wave propagation in the variable-thickness complex shape components

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