TY - JOUR
T1 - Laser ultrasonic imaging of submillimeter defect in a thick waveguide using entropy-polarized bilateral filtering and minimum variance beamforming
AU - He, Yi
AU - Wang, Kai
AU - Xu, Lei
AU - Sohn, Hoon
AU - Su, Zhongqing
N1 - Funding Information:
The work was supported by a General Project (No. 51875492) received from the National Natural Science Foundation of China. Z Su acknowledges the support from the Hong Kong Research Grants Council via General Research Funds (Nos. 15202820 and 15204419), and from Hong Kong Innovation and Technology Commission via project “Smart Railway Technology and Applications” (No. K-BBY1).This work was also partially supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (grant number: 2019R1A3B3067987).
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/3/1
Y1 - 2023/3/1
N2 - Recent quantum leap in far-field laser techniques has advanced noncontact implementation of nondestructive ultrasonic imaging, in pursuit of enhanced accessibility, detectability and practicability. Nevertheless, when laser-generated thermoelastic waves are extended to thick waveguides, they manifest fairly low signal-to-noise ratios (SNRs), along with severe wave diffusion, consequently lowering image resolution and contrast. With these motivations, a laser-ultrasonics imaging approach is developed, in conjunction with i) entropy-polarized bilateral filtering (Entropy-P-BF) for signal denoising, and ii) minimum variance (MV) beamforming for defect imaging, targeting at precise characterization of a submillimeter defect (with its characteristic dimension being smaller than the wave diffraction limit) in a thick waveguide. The entropy-polarized bilateral filtering denoises laser-induced ultrasonic wave signals via a two-dimensional convolution, the weight matrices of which are continuously updated according to local noise and uncertainty. With an elevated SNR, MV beamforming subsequently conducts an apodized beamforming to image the defect. Experimental validation is conducted by imaging a void-type defect, 0.7 mm only in its diameter, in a jet aero-engine turbine disk. Results prove that the developed approach is capable of characterizing a submillimeter defect accurately in a thick waveguide with thickness ∼25 times the wavelength of laser-induced shear wave, regardless of a fairly low SNR (<1dB).
AB - Recent quantum leap in far-field laser techniques has advanced noncontact implementation of nondestructive ultrasonic imaging, in pursuit of enhanced accessibility, detectability and practicability. Nevertheless, when laser-generated thermoelastic waves are extended to thick waveguides, they manifest fairly low signal-to-noise ratios (SNRs), along with severe wave diffusion, consequently lowering image resolution and contrast. With these motivations, a laser-ultrasonics imaging approach is developed, in conjunction with i) entropy-polarized bilateral filtering (Entropy-P-BF) for signal denoising, and ii) minimum variance (MV) beamforming for defect imaging, targeting at precise characterization of a submillimeter defect (with its characteristic dimension being smaller than the wave diffraction limit) in a thick waveguide. The entropy-polarized bilateral filtering denoises laser-induced ultrasonic wave signals via a two-dimensional convolution, the weight matrices of which are continuously updated according to local noise and uncertainty. With an elevated SNR, MV beamforming subsequently conducts an apodized beamforming to image the defect. Experimental validation is conducted by imaging a void-type defect, 0.7 mm only in its diameter, in a jet aero-engine turbine disk. Results prove that the developed approach is capable of characterizing a submillimeter defect accurately in a thick waveguide with thickness ∼25 times the wavelength of laser-induced shear wave, regardless of a fairly low SNR (<1dB).
KW - Bilateral filtering
KW - Defect imaging
KW - Laser ultrasonics
KW - Minimum variance beamforming
KW - Signal denoising
KW - Subwavelength defect
UR - http://www.scopus.com/inward/record.url?scp=85140298382&partnerID=8YFLogxK
U2 - 10.1016/j.ymssp.2022.109863
DO - 10.1016/j.ymssp.2022.109863
M3 - Journal article
AN - SCOPUS:85140298382
SN - 0888-3270
VL - 186
JO - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
M1 - 109863
ER -