To address the defect detection problem of composite laminate, this study proposes a defect defection detection method based on ultrasonic Lamb waves and deep learning algorithms. Taking an anisotropic healthy composite laminate as the base model, simulation models with different defects were generated through batch mo...
Shu-Xia Tian, Zhi-Yong Li, Zhen-Mao Chen et al.· International Journal of App...· 0 citations
This study proposes a multiscale electromagnetic method that combines far-field angular-domain analysis with local near-field imaging to detect damage in radar-absorbing coatings on aircraft surfaces. Using an intact state as a reference, continuous anomalous angular intervals and their principal anomalous azimuths are...
Yang Fang, Wen-Bin Ren, Yi-Jun Liu et al.· Italian National Conference...· 0 citations
Microwave imaging is promising for non-contact inspection of radar-absorbing materials (RAMs); however, strong structured non-damage responses in reconstructed microwave images can resemble surface defects and trigger false detections, while hard masking may remove weak damage responses near ambiguous boundaries. To ad...
Yang Fang, Jia-Qi Wang, Wei Cui et al.· Italian National Conference...· 0 citations
With the development of modern industry, the inspection techniques for fields such as power, petrochemicals and railways have become increasingly complex. From weld inspection on high-pressure pipelines to internal defect detection in composite materials, the demands on the precision, efficiency, and compatibility of n...
Jun-Ming Lin, Chao Kong, Zhen-Mao Chen et al.· International Journal of App...· 0 citations
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