scholarly journals Impact Damages Detection on CFRP Using Eddy Current Pulsed Thermography

2020 ◽  
Author(s):  
Abdoulaye Ba ◽  
Qiuji Yi ◽  
Junzhen Zhu ◽  
Huu-Kien Bui ◽  
Gui Yun Tian ◽  
...  
Keyword(s):  
Eddy Current ◽  
Pulse Compression ◽  
Impact Damage ◽  
Flaw Detection ◽  
Principal Component ◽  
Destructive Testing ◽  
Test Configuration ◽  
Damage Area ◽  
Technique Optimization ◽  
Impact Damages

Carbon Fiber Reinforced Polymer (CFRP) materials are widely used in aerospace due to their low weigh to strength ratio. Non-destructive Testing (NDT) Techniques becomes a necessity with increasing use of CFRP materials. Induction Thermography is a new NDT technique that can be exploited as a promising fast and global control. However, the detection of typical flaws in carbon composites such as delamination, fibers rupture and impact damages need to be further investigated in order to optimize the technique. Optimization can be done in the test configuration level and by the use an appropriate image technique. In this paper Eddy Current Pulse Compression Thermography (ECPuCT) is used to detect impact damages on CFRP materials. The Principal Component Analysis (PCA) based image processing technique is used to detect and visualize impact damage area from transient thermal images. Flaw detection results using experimental measures will be shown and discussed.

scholarly journals Fast Localization of Impact Damage on Woven CFRP Based on Sparse Microwave Imaging

2020 ◽  
Author(s):  
Ruslee Sutthaweekul ◽  
Gui Yun Tian
Keyword(s):  
Feature Extraction ◽  
Impact Damage ◽  
Principal Component ◽  
Large Area ◽  
Localization Accuracy ◽  
Damage Area ◽  
Reinforced Plastic ◽  
The Impact ◽  
Sampling Sequences ◽  
Impact Damages

Microwave open-ended waveguide scanning has been proved to be a promising NDT technique for imaging of woven carbon fiber reinforced plastic (CFRP) with impact damages. However, it uses a conventional C-scan technique, which is excessively time-consuming and therefore it is not practical for defect detection in a large area. Moreover, without proper feature extraction, the appearance of woven texture within the impact damage area opposes to the localization of the impact. This work proposes a novel framework for fast impact damage localization by means of discrete sparse measurement. Also, the localization accuracy of sparse measurement is improved by mitigating effect of woven texture using principal component analysis (PCA) for feature extraction. The performance of the proposed methods is evaluated by sets of incremental measurements. The performance of the proposed system is and evaluated by localizing the impact damage of 100 non-uniform sparse sampling sequences. Results show that our proposed technique can accurately localize the impact damage with number of samples less than 10% of full measurements, giving approximately 10 times faster than that of the conventional C-scan.

Review on Non-Destructive Testing Technique of Eddy Current Pulsed Thermography

2015 ◽  
Vol 742 ◽  
pp. 128-131 ◽  
Author(s):  
Jian Min Zhou ◽  
Jun Yang ◽  
Qi Wan
Keyword(s):  
Eddy Current ◽  
Signal Reconstruction ◽  
Infrared Image ◽  
Principal Component ◽  
Research Progress ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Pulsed Thermography ◽  
Pulsed Phase Thermography ◽  
Non Destructive

This paper introduces the theory of eddy current pulsed thermography and expounds the research status of eddy current pulsed thermography in application and information extraction. Thermographic signal reconstruction, pulsed phase thermography, principal component analysis were introuduced in this paper and listed some fusion multiple methods to acquire information from infrared image. At last, it summarizes research progress, existing problem and deelopment of eddy current pulsed thermography.

scholarly journals Looking Through Paintings by Combining Hyper-Spectral Imaging and Pulse-Compression Thermography

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4335 ◽  
Author(s):  
Stefano Laureti ◽  
Hamed Malekmohammadi ◽  
Muhammad Khalid Rizwan ◽  
Pietro Burrascano ◽  
Stefano Sfarra ◽  
...  
Keyword(s):  
Pulse Compression ◽  
Light Emitting Diode ◽  
Spectral Imaging ◽  
Principal Component ◽  
Sample Surface ◽  
Destructive Testing ◽  
Spectral Bands ◽  
Hyper Spectral ◽  
Hyper Spectral Imaging ◽  
Pseudo Noise

The use of different spectral bands in the inspection of artworks is highly recommended to identify the maximum number of defects/anomalies (i.e., the targets), whose presence ought to be known before any possible restoration action. Although an artwork cannot be considered as a composite material in which the zero-defect theory is usually followed by scientists, it is possible to state that the preservation of a multi-layered structure fabricated by the artist’s hands is based on a methodological analysis, where the use of non-destructive testing methods is highly desirable. In this paper, the infrared thermography and hyperspectral imaging methods were applied to identify both fabricated and non-fabricated targets in a canvas painting mocking up the famous character “Venus” by Botticelli. The pulse-compression thermography technique was used to retrieve info about the inner structure of the sample and low power light-emitting diode (LED) chips, whose emission was modulated via a pseudo-noise sequence, were exploited as the heat source for minimizing the heat radiated on the sample surface. Hyper-spectral imaging was employed to detect surface and subsurface features such as pentimenti and facial contours. The results demonstrate how the application of statistical algorithms (i.e., principal component and independent component analyses) maximized the number of targets retrieved during the post-acquisition steps for both the employed techniques. Finally, the best results obtained by both techniques and post-processing methods were fused together, resulting in a clear targets map, in which both the surface, subsurface and deeper information are all shown at a glance.

Reduced False Calls in Eddy Current Images Using Signal Processing

2021 ◽  
Author(s):  
S. B. Mahalakshmi ◽  
Ganesh Seshadri ◽  
Aparna Sheila-Vadde ◽  
Manoj Kumar KM
Keyword(s):  
Eddy Current ◽  
Flaw Detection ◽  
Non Destructive Testing ◽  
Testing Methods ◽  
Destructive Testing ◽  
Noise Measurements ◽  
Component Manufacturing ◽  
Lift Off ◽  
The Time Domain ◽  
Non Destructive

Abstract Non-destructive testing methods are used largely in component manufacturing industries like Aerospace, Renewables and Power to evaluate the properties of a material or the quality of a component by inspecting for cracks and discontinuities without causing damage to the part. Among the many non-destructive testing methods, Eddy current imaging enables efficient flaw detection for surface and sub-surface cracks. However, in typical eddy current inspection, there can be significant number of false calls arising from variation in lift-off and surface anomalies. Discriminating defect signals from false calls can be very challenging. This paper describes a method to reduce false calls by using a wavelet based denoising algorithm and combining it with statistical-based features extracted inside a sliding window in the time domain to efficiently identify the cracks. The results are verified on specimens with cracks of different sizes that are oriented randomly along with locations available for baseline noise measurements.

Non-Destructive Testing of Aluminum Alloys by Using Miniature Eddy-Current Flaw Transducers

2014 ◽  
Vol 880 ◽  
pp. 105-108 ◽  
Author(s):  
Viktor V. Polyakov ◽  
Sergey F. Dmitriev ◽  
Alexey V. Ishkov ◽  
Evgeny A. Kolubaev ◽  
Vladimir N. Malikov
Keyword(s):  
Eddy Current ◽  
Flaw Detection ◽  
Material Surface ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Model Composite ◽  
Measuring Device ◽  
Testing Method ◽  
Measurement Results ◽  
Non Destructive

The paper puts forward a modified eddy current testing method based on the use of miniature eddy current transducers within a localized controlled area of the material surface of up to 50 μm2. Measurement results are provided for a model composite material made up of alternating conducting and dielectric layers of system Al-HDPE-Al. Structural flaws are specified as changes in the number and position of layers in the sequence. Prospects of the proposed method and a measuring device operating on its basis for flaw detection in composite aluminum alloy materials are shown.

An Economical Implementation of an Ultrasonic Pulse Compression System for Non-Destructive Testing

1979 ◽  
Vol 16 (1) ◽  
pp. 59-67
Author(s):  
F. K. Lam
Keyword(s):  
Pulse Compression ◽  
Delay Line ◽  
Flaw Detection ◽  
Ultrasonic Pulse ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Compression System ◽  
Time Bandwidth Product ◽  
Non Destructive ◽  
Ultrasonic Delay Line

A linear F.M. ultrasonic pulse compression system suitable for flaw detection has been economically implemented by using an ultrasonic delay line. The operating system has a time bandwidth product of 84 and sidelobe levels below — 25 dB. Results relating to the system detection and resolution capabilities are presented.

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