Efficient Near-Field Radiofrequency Imaging of Impact Damage on CFRP Materials with Learning-Based Compressed Sensing

Efficient Near-Field Radiofrequency Imaging of Impact Damage on CFRP Materials with Learning-Based Compressed Sensing

Carbon fiber-reinforced polymer (CFRP) is a widely-used composite material that is vulnerable to impact damage. Light impact damages destroy the inner structure but barely show obvious change on the surface. As a non-contact and high-resolution method to detect subsurface and inner defect, near-fiel...

Full description

Bibliographic Details
Main Authors: Huadong Song, Zijun Wang, Yanli Zeng, Xiaoting Guo, Chaoqing Tang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Materials
Subjects:
non-destructive testing
near-field radiofrequency imaging
compressed sensing
deep learning
Online Access:https://www.mdpi.com/1996-1944/15/17/5874

Internet

https://www.mdpi.com/1996-1944/15/17/5874

Similar Items