Broadband Laser Ultrasonic Excitation and Multi-band Sensing for Hierarchical Automatic Damage Visualization

  • Mai-Thanh Thai
  • Hasan Ahmed
  • Seung-Chan Hong
  • Jung-Ryul LeeEmail author
  • Jeong-Beom Ihn
Original Paper


It is well known that the selection of a frequency for signal generation and data acquisition significantly affects the quality of ultrasonic or laser ultrasonic nondestructive testing (NDT) results, and the analog filter is essential to prevent the aliasing effect. This paper presents a systematic approach using a hierarchical inspection scheme for automatic inspection processes. A frequency band divider (FBD) with a single-input–multiple-output (SIMO) system was newly created to examine quickly various frequency ranges at single scanning using laser-based broadband excitation. The FBD was implemented into a pulse-echo ultrasonic propagation imaging (PE UPI) system capable of fully noncontact laser ultrasonic inspection. Only two scans are required to determine the optimal frequency range for unknown specimens. This tremendously reduces the number of scanning trials for the investigation of complete frequency ranges.


Hierarchical approach Nondestructive testing Pulse-echo ultrasonic propagation imager Programmable band-pass filter 



The work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Ministry of Science and ICT (NRF-2017R1A5A1015311) and the Boeing Company.

Supplementary material

42405_2019_210_MOESM1_ESM.rar (35.5 mb)
Supplementary material 1 (RAR 36,324 kb)


  1. 1.
    Mallick PK (2007) Fiber-reinforced composites: materials, manufacturing and design. Taylor & Francis, Boca RatonCrossRefGoogle Scholar
  2. 2.
    Gibson RF (2012) Principles of composite material mechanics. CRC Press, Boca RatonGoogle Scholar
  3. 3.
    Gholizadeh S (2016) A review of non-destructive testing methods of composite materials. Proc Struct Integr 1:50–57CrossRefGoogle Scholar
  4. 4.
    Ni C, Shi Y, Shen Z, Lu J, Ni X (2010) An analysis of angled surface-breaking crack detection by dual-laser source generated ultrasound. NDT E Int 43(6):470–475CrossRefGoogle Scholar
  5. 5.
    Scruby CB, Drain LE (1990) Laser ultrasonics techniques and applications. Hilger, BristolGoogle Scholar
  6. 6.
    Chia CC, Jeong HM, Lee JR, Park G (2012) Composite aircraft debonding visualization by laser ultrasonic scanning excitation and integrated piezoelectric sensing. Struct Health Monit 19(7):605–620CrossRefGoogle Scholar
  7. 7.
    Lee JR, Jang JK, Kong CW (2014) Fully noncontact wave propagation imaging in an immersed metallic plate with a crack. Shock Vib 2014:1–8Google Scholar
  8. 8.
    Staszewski WJ, Lee BC, Mallet L, Scarpa F (2004) Structural health monitoring using scanning laser vibrometry: I. Lamb wave sensing. Smart Mater Struct 13(2):251–260CrossRefGoogle Scholar
  9. 9.
    Lee JR, Jeong H, Chia CC, Yoon DJ, Lee SS (2010) Application of ultrasonic wave propagation imaging method to automatic damage visualization of nuclear power plant pipeline. Nucl Eng Des 240(10):3513–3520CrossRefGoogle Scholar
  10. 10.
    Abetew AD, Hong SC, Lee JR, Baek S, Ihn JB (2017) Remote defect visualization of standard composite coupons using a mobile pulse-echo ultrasonic propagation imager. Adv Compos Mater 26(1):15–27CrossRefGoogle Scholar
  11. 11.
    Hong SC, Abetew AD, Lee JR, Ihn JB (2017) Three dimensional evaluation of aluminum plates with wall-thinning by pulse-echo laser ultrasound. Opt Lasers Eng 99:58–65CrossRefGoogle Scholar
  12. 12.
    Ihn JB, Chang FK (2004) Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. Diagnostics. Smart Mater Struct 13(3):609–620CrossRefGoogle Scholar
  13. 13.
    Green RE (2004) Non-contact ultrasonic techniques. Ultrasonics 42(1–9):9–16CrossRefGoogle Scholar
  14. 14.
    Shenoi BA (2005) Introduction to digital signal processing and filter design. Wiley, New JerseyCrossRefGoogle Scholar
  15. 15.
    Her SC, Lin ST (2014) Non-destructive evaluation of depth of surface cracks using ultrasonic frequency analysis. Sensors 14(9):17146–17158CrossRefGoogle Scholar
  16. 16.
    Smith SW (1997) The scientist and engineer’s guide to digital signal processing. California Technical Pub, San DiegoGoogle Scholar
  17. 17.
    Mancini R (2003) Op amps for everyone: design reference. Newnes, AmsterdamGoogle Scholar
  18. 18.
    Lee JR, Chong SY, Sunuwar N, Park CY (2013) Repeat scanning technology for laser ultrasonic propagation imaging. Meas Sci Technol 24(8):085201CrossRefGoogle Scholar

Copyright information

© The Korean Society for Aeronautical & Space Sciences 2019

Authors and Affiliations

  • Mai-Thanh Thai
    • 1
  • Hasan Ahmed
    • 1
  • Seung-Chan Hong
    • 1
  • Jung-Ryul Lee
    • 1
    Email author
  • Jeong-Beom Ihn
    • 2
  1. 1.Department of Aerospace EngineeringKorea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea
  2. 2.Structures Technology, Boeing Research and TechnologySeattleUSA

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