Radiographic Inspection of Carbon Fiber-Reinforced Polymer Composites (Laminates) with Epoxy and PEEK Binders After Impact and Subsequent Compression Loading

被引:0
|
作者
Kosmachev, Pavel V. [1 ]
Stepanov, Dmitry Yu. [1 ]
Tyazhev, Anton V. [1 ]
Vinnik, Alexander E. [1 ]
Eremin, Alexander V. [2 ]
Tolbanov, Oleg P. [1 ]
Panin, Sergey V. [2 ]
机构
[1] Natl Res Tomsk State Univ, Microelect Multispectral Quantum Introscopy Lab, R&D Ctr Adv Elect Technol, Tomsk 634050, Russia
[2] Russian Acad Sci, Lab Mech Polymer Composite Mat, Inst Strength Phys & Mat Sci, Siberian Branch, Tomsk 634055, Russia
关键词
fiber-reinforced polymer composite; laminate; radiographic inspection; impact damage; image processing; flaw detection; image quality; signal-to-noise ratio; X-RAY; DAMAGE; DETECTORS; DEFECTS; PERFORMANCE; DEPTH; WAVES; SIZE;
D O I
10.3390/polym16233262
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
An approach to detecting discontinuities in carbon fiber-reinforced polymers, caused by impact loading followed by compression testing, was developed. An X-ray sensor-based installation was used, while some algorithms were developed to improve the quality of the obtained low-contrast radiographic images with negligible signal-to-noise ratios. For epoxy/AF (#1) composite subjected to a "high-velocity" steel-ball impact with subsequent compression loading, it was not possible to detect discontinuities since the orientation of the extended zone of interlayer delamination was perpendicular to the irradiation axis. After drop-weight impacts with subsequent compression loading of epoxy/CF (#2) and PEEK/CF (#3) composites, the main cracks were formed in their central parts. This area was reliably detected through the improved radiographic images being more contrasted compared to that for composite #3, for which the damaged area was similar in shape but smaller. The phase variation and congruency methods were employed to highlight low-contrast objects in the radiographic images. The phase variation procedure showed higher efficiency in detecting small objects, while phase congruency is preferable for highlighting large objects. To assess the degree of image improvement, several metrics were implemented. In the analysis of the model images, the most indicative was the PSNR parameter (with a S-N ratio greater than the unit), confirming an increase in image contrast and a decrease in noise level. The NIQE and PIQE parameters enabled the correct assessment of image quality even with the S-N ratio being less than a unit.
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页数:33
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