CFRP delamination defect detection by dynamic scanning thermography based on infrared feature reconstruction
Haoze Chen, Jie Gao, Zhijie Zhang, Wuliang Yin, Ningchen Dong, Guangyu Zhou, Zong Meng
Abstract
Shape information detection and evaluation of internal delamination defects in carbon fiber reinforced polymers (CFRP) is of great importance in industrial production and applications. In this paper, a new method for imaging and edge detection of internal delamination defects in CFRP using continuous line laser scanning excitation thermography is proposed. Firstly, a Following Laser Scanning Thermography (FLST) system is set up in the form of a heat source and camera that are stationary and the test piece is moving. It can perform fast and high-precision nondestructive testing of large workpieces. Subsequently, the advantages of FLST are utilized to reconstruct the infrared images of defects by simple feature lines, and the effects of different parameters on the reconstructed images are analyzed. Finally, the morphological information characterization of internal delamination defects in CFRP is realized by motion blur removal method combined with edge detection algorithm. The results demonstrate that the use of FLST system, combined with image reconstruction and motion blur removal method has high accuracy and efficiency in the non-destructive testing and evaluation of delamination defects.