TY - GEN
T1 - Surface acoustic wave propagation in the variable-thickness complex shape components
AU - Li, Xipeng
AU - Xu, Chunguang
AU - Yang, Chao
N1 - Publisher Copyright:
© 2016 IEEE.
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
UR - http://www.scopus.com/inward/record.url?scp=85034244699&partnerID=8YFLogxK
U2 - 10.1109/FENDT.2016.7992012
DO - 10.1109/FENDT.2016.7992012
M3 - Conference contribution
AN - SCOPUS:85034244699
T3 - Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016
SP - 136
EP - 140
BT - Proceedings of 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016
A2 - Xu, Chunguang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Far East NDT New Technology and Application Forum, FENDT 2016
Y2 - 22 June 2016 through 24 June 2016
ER -