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Dynamic weighted phase shift migration for the ultrasonic phased array imaging of wrinkles in thick composites.

Authors :
Zhang, Haiyan
Liu, Yajie
Zhang, Hui
Chen, Yiting
Zhu, Qi
Source :
Mechanical Systems & Signal Processing. Apr2024, Vol. 212, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

• A dynamic weighted phase shift migration (DW-PSM) phased array imaging method is proposed for hybrid fiber reinforced composites. • A modified K-K relation is established by introducing weighting factors for the attenuation and dispersion respectively. • A signal pre-processing procedure is applied to provide an instantaneous equal phase difference for imaging. • Wrinkles in depth can be quickly and accurately characterized by adjusting the weighting factor at only 1.6 s per frame. A dynamic weighted phase shift migration (DW-PSM) is proposed to detect wrinkles of high depth, i.e., larger than 10 mm, in thick fiber reinforced composites with ultrasonic phased arrays. The weighting factors are first introduced for the attenuation and dispersion respectively into modified K-K relations. A pre-processing procedure is then applied to correct the instantaneous phase difference into equal between adjacent layers. After evaluating the effective attenuation coefficients by averaging through all the phased array elements, an optimal weighting factor ratio is determined for each sample. Different to the depth information loss with classical PSM, wrinkles located at 11 mm, 15 mm, and 16 mm can be identified eventually in 18 mm hybrid carbon/glass fiber composite samples based on DW-PSM. A great resolution can be obtained by adopting appropriate frequency, weighting factors and migration steps. The detection errors of wrinkle angles are only 1.97 %, 2.38 %, and 2.42 %, respectively. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08883270
Volume :
212
Database :
Academic Search Index
Journal :
Mechanical Systems & Signal Processing
Publication Type :
Academic Journal
Accession number :
176151717
Full Text :
https://doi.org/10.1016/j.ymssp.2024.111271