Literature DB >> 32504984

Hidden corrosion detection using laser ultrasonic guided waves with multi-frequency local wavenumber estimation.

Tianfang Gao1, Hu Sun1, Yongqiang Hong1, Xinlin Qing2.   

Abstract

Hidden corrosion damage of aircraft structures is a potential threat to the flight safety and a major maintenance factor for aircraft. In previous researches on corrosion detection, the local wavenumber estimation is obtained from a sliding wavenumber window that maximizes the wave energy at each grid point for one mode and frequency. This paper presents the methodology based on multi-frequency local wavenumber estimation for quantitative assessment of hidden corrosion in plates, which is obtained from a short-windowed Fourier transform in space domain of the wavefield at single mode and multiple frequencies. The methodology is applied to simulated wavefield to demonstrate the effect of frequency on corrosion depth image. The simulation results show that the calculated shape of the corrosion is closest to the actual value when the window size is comparable or less than half the length of the corrosion that the guided wave passes through. A fully noncontact experimental platform is developed and used to detect hidden corrosion with the methodology in aluminum plates. The methodology was verified on the aluminum plates of 1 mm thickness with the corrosion (30 mm × 30 mm × 0.5 mm and Φ30mm × 0.2 mm), and the relative errors between the estimated and actual value of the corrosion depth are not more than 6%.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Guided wave; Hidden corrosion; Laser ultrasonic; Multi-frequency; Wavenumber

Year:  2020        PMID: 32504984     DOI: 10.1016/j.ultras.2020.106182

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  1 in total

1.  A New Laser Ultrasonic Inspection Method for the Detection of Multiple Delamination Defects.

Authors:  Tianfang Gao; Yishou Wang; Xinlin Qing
Journal:  Materials (Basel)       Date:  2021-05-06       Impact factor: 3.623

  1 in total

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