Carbon fiber reinforced polymers (CFRPs) are widely used in fields such as aviation and aerospace. However, subtle defects can significantly impact the material's service life, making defect detection a critical priority. In this paper, delamination defects in CFRP are detected using line laser infrared thermography, and a defect characterization algorithm that combines differential thermography with a frequency-domain filter is proposed. This approach effectively eliminates the trailing phenomenon caused by line laser scanning and produces defect feature images with a higher signal-to-noise ratio. The size of the processed defects is then measured using pixel deviation values combined with K-means edge detection. The results show that the measured dimensions of defects are larger than the actual dimensions at the initial stage of cooling after excitation and smaller than the actual dimensions at the end of the cooling phase. The maximum measurement error for defect size was 2.74 mm2 throughout the measurement interval. In addition, defect depth evaluation was achieved by fitting the curve of defect depth against the peak value in the frequency domain, with the resultant R-square value were all higher than 0.9877. This confirms the validity and accuracy of the methodology used in this study.

Download full-text PDF

Source
http://dx.doi.org/10.1063/5.0238062DOI Listing

Publication Analysis

Top Keywords

delamination defects
8
defects cfrp
8
frequency domain
8
actual dimensions
8
defect depth
8
defect
6
defects
5
measurement characterization
4
characterization internal
4
internal delamination
4

Similar Publications

Carbon fiber reinforced polymers (CFRPs) are widely used in fields such as aviation and aerospace. However, subtle defects can significantly impact the material's service life, making defect detection a critical priority. In this paper, delamination defects in CFRP are detected using line laser infrared thermography, and a defect characterization algorithm that combines differential thermography with a frequency-domain filter is proposed.

View Article and Find Full Text PDF

The milling force plays a pivotal role in CFRP milling. Modeling of the milling force is helpful to explore the changing law, optimize the processing parameters, and then reduce the appearance of defects. However, most of the existing models ignore the effect of the bottom edge.

View Article and Find Full Text PDF

This paper aimed to understand the AE signal characteristics and damage mechanism of wind turbine blade main spar materials with different defects during the damage evolution process. According to the typical delamination and wrinkle defects in wind turbine blades, the GFRP composite with defects is artificially prefabricated. Through acoustic emission experiments, the mechanical properties and acoustic emission characteristic trends of wind turbine blade main spar composites with different defects under tensile loading conditions were analyzed, and the damage evolution mechanism of different defects was explained according to the microscopic results.

View Article and Find Full Text PDF

Acetabular cartilage delamination (ACD) can result in focal chondral defects, increasing contact stresses and contributing to osteoarthritis. This is commonly associated with femoroacetabular impingement, particularly with cam deformities due to shearing of the cam on the acetabulum. Additionally, ACD associated with labral tears or chondrolabral separation, when untreated, can compromise labral repair outcomes.

View Article and Find Full Text PDF

Development of signal processing algorithms for delamination detection in composite laminates using non-contact excited Lamb waves.

Ultrasonics

March 2025

Aviation Technology Directorate, Japan Aerospace Exploration Agency, 6-13-1 Osawa, Mitaka-shi, Tokyo 181-0015, Japan.

A novel Signal Processing algorithm based on the combination of a Wavelet Transform Analysis and Image Processing techniques is designed for assessing the delamination detectability of Lamb Waves generated with an innovative fully non-contact system in CFRP plates. Several Damage Indexes are extracted from the wavefields in spatial-time-frequency domain and plotted as surface cartographies to visualise their ability to size and localise artificial delaminations. Results show that the algorithm is efficient for characterising the waves propagation and that sophisticated Image comparison indexes show better ability to detect the artificial defects and to recognise healthy zones despite signal measurement and calculation uncertainties.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!