[HTML][HTML] Structural optimization of photoacoustic transducer with PDMS/CSNPs nanocomposite for fatigue crack detection using laser-induced nonlinear surface …

Z Yao, Y Li, G Lv, D Chen, J Yang, S Guo - Materials & Design, 2024 - Elsevier
Laser ultrasonics is a promising non-contact inspection technique but faces challenges of
low signal-to-noise and low amplitude under non-destructive thermoelastic regime. In this …

A laser ultrasonic intelligent inspection method for metal surface defects based on digital twin model

Y Zhang, H Zhou, R Yao, M Wu - Measurement, 2024 - Elsevier
To enhance the efficiency and intelligence of laser ultrasonic detection of metal surface
defects, a detection method based on digital twins is proposed. Given the scarcity of defect …

A zero-shot quantitative evaluation model for subsurface defects size based on ultrasonic nondestructive testing

Z Li, S Song, X Liu, H Suo, W Liu, Y Song - Measurement, 2025 - Elsevier
Existing defect quantitative evaluation models requires collecting and labeling all types of
defect data for training. However, such models have a poor ability for new defect, and …

Remote measurement of material elastic property at elevated temperature with grating laser ultrasonic testing

C Qian, Y Chen, C Pei, Z Chen - Nondestructive Testing and …, 2023 - Taylor & Francis
As a pivotal elastic property, elastic modulus plays a crucial role in characterising the
mechanical performance of materials. To achieve the convenient and remote measurement …

Metal surface crack depth laser acoustic emission detection method based on multivariate feature adaptive extraction and cross-modal interaction fusion

H Wang, L Zhang, K Li, W Zhang, Z Ma, X Chen, L Ai… - Measurement, 2025 - Elsevier
Surface crack depth detection of metal structures is of great significance to ensure the safe of
equipment. However, the commonly used detection methods currently suffer from sensitivity …

Internal defect detection model based on laser ultrasonic signal decomposition and deep learning

S Wang, S Chen, H Wang, X Yang, P Tang, J Chu… - Measurement, 2025 - Elsevier
It is essential to accurately detect the internal defects of metal equipment. The accuracy of
traditional detection methods is affected by noise. This paper proposes an innovative …

A novel method based on deep learning algorithms for material deformation rate detection

S Özdem, İM Orak - Journal of Intelligent Manufacturing, 2024 - Springer
Given the significant influence of microstructural characteristics on a material's mechanical,
physical, and chemical properties, this study posits that the deformation rate of structural …

Research on spatial localization method of composite damage under strong noise

Z Jin, Q Zhou, Z Pei, G Chen - Ultrasonics, 2024 - Elsevier
In this paper, a damage spatial imaging approach based on novel signal extraction is
suggested to reconstruct the Lamb wave response signal under strong noise and realize the …

Noncontact hardness assessment of carbon steel with nonlinear Rayleigh waves induced by grating laser

C Qian, Y Chen, C Pei, F Mao, X Kou, Z Chen - Optics and Lasers in …, 2024 - Elsevier
Hardness is a crucial mechanical property to characterize the metal performance in service,
and its nondestructive assessment is undoubtedly a challenging work. The objective of this …

Quantification analysis of mural defects in digital holography with fundamental voice excitation based on local phase field separation

Z Chen, W Zhou, L Qu, G Li, Y Yu, V Tornari - Optics & Laser Technology, 2024 - Elsevier
Previous collaborative studies have shown that fringe patterns by optical interference way
are used as a direct diagnostic tool for qualitative analysis of defects in Culture Heritage …