Automated Quality Characterization for Composites Using Hybrid Ultrasonic Imaging Techniques

Sun, Jiangtao; Chong, Alvin Yung Boon; Tavakoli, Siamak; Feng, Guojin; Kanfoud, Jamil; Selcuk, Cem; Gan, Tat Hean

doi:10.1080/09349847.2018.1459989

Cited by 5 publications

(4 citation statements)

References 20 publications

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“…Accuracies of less than 3 mm and 1.11 mm were obtained for defect size and depth. The results demonstrate the feasibility of the proposed technique for accurate defect localization and characterization of composite materials [15]. W. post et al In their study, they conducted a comparative study on the monitoring of delamination healing using non-destructive techniques and destructive compression testing in CFRP-ionomer sandwich composites.…”

Section: Introductionmentioning

confidence: 84%

“…The dimensions, shape and indentation depth of the damage were determined. As a result of the determination of the indentation depth, the threshold energy was calculated for the damage to occur [14,15]. An advanced technique using image processing has been developed for the automated ultrasonic inspection of composite materials, such as glass/carbon fiber reinforced polymers.…”

Section: Introductionmentioning

confidence: 99%

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Damage Detection of Carbon Face Sheet Nomex Sandwich Composites with Image Processing Technique

Demirci¹

2021

ijisae

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In this study, the low-velocity impact behavior of carbon face sheet Nomex honeycomb composites at repeated and increasing energy levels was investigated. Contrary to the usual method, a different method was used to analyze the damage that occurred after the low-velocity impact tests. Image-processing methods have been applied in many fields. It is thought that image processing methods will yield successful results in a detailed examination of the damage in composite materials. In addition, the detection and detailed examination of barely visible damage is also of vital importance in determining the life of composites. An ultrasonic underwater c-scan device was used to obtain damage images. Ultrasonic c-scan, which is a non-destructive testing method, is frequently used to determine damage locations and sizes in aviation areas. The use of ultrasonic systems is more advantageous in terms of speed and accuracy than other methods. An image processing method was developed to calculate the damaged areas by obtaining images. The main structure of image processing is the L*a*b* color feature space of pixels. When the C-scan images were examined, the image colors were red, blue, and green. In the L*a*b method, it was observed that the blue-colored areas, which are the damaged areas, were successful in separating them from the other undamaged areas. A Gaussian filter followed by a binary method was used to determine the last damage areas, and the damage areas were calculated.

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Section: Introductionmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Damage Detection of Carbon Face Sheet Nomex Sandwich Composites with Image Processing Technique

Demirci¹

2021

ijisae

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“…The detection rate is less than 28% to detect the delamination on larger depths (>1 mm) and higher than 84% for the very shallow defects of 0.2-1 mm. For some other studies on quantitative analysis of detection techniques using simulated defects in FRPCs, the reader is referred to (Yang et al, 2013;Junyan et al, 2015;Kalyanavalli et al, 2018;Sun et al, 2019).…”

Section: Simulated Defectsmentioning

confidence: 99%

Nondestructive testing and evaluation techniques of defects in fiber-reinforced polymer composites: A review

Chen

Jin²

2022

Front. Mater.

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Fiber-reinforced polymer composites have excellent mechanical properties and outstanding development potential and are cost-effective. They have increasingly been used in numerous advanced and engineering applications as materials for wind turbine blades, helicopter rotors, high-pressure pipelines, and medical equipment. Understanding and assessing structural failure promptly in the whole lifecycle of a composite is essential to mitigating safety concerns and reducing maintenance costs. Various nondestructive testing and evaluation (NDT&E) technologies based on different evaluation principles have been established to inspect defects under different conditions. This paper reviews the established types of NDT&E techniques: acoustic emission, ultrasonic testing, eddy current testing, infrared thermography, terahertz testing, digital image correlation, shearography, and X-ray computed tomography, which is divided into three categories based on the operation frequency and data processing means of the output signal that is directly under analysis. We listed four types of defects/damage that are currently of great interest, namely, voids and porosity, fiber waviness and wrinkling, delamination and debonding, as well as impact damage. To identify a suitable method for different defects/damage, we performed characterization and evaluation by using these NDT&E techniques for typical defects/damage. Then, the cost, inspection speed, benefits and limitations, etc. were compared and discussed. Finally, a brief overview of the development of the technologies and their applications in the field of composite fabrication was discussed.

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“…The pulse-echo C-scan immersion technique was applied in the thickness direction of a cross-ply [0°/90°] S glass—epoxy composite after different tensile stress load levels to monitor the damage induced perpendicularly to the loading direction based on density variation maps and image segmentation processing [ 49 ]. Most attempted inspections of thick materials were performed at lower frequencies (0.5–1 MHz) [ 50 , 51 , 52 , 53 ] and good results were obtained for CFRP composite laminates with a thickness of up to 15 mm [ 54 ]. However, thin composite materials were widely inspected using Lamb waves for damage detection [ 55 ] or material properties evaluation, such as the dynamic Young’s modulus [ 56 , 57 ].…”

Section: Volume Non-destructive Testing Techniquesmentioning

confidence: 99%

Non-Destructive Health Monitoring of Structural Polymer Composites: Trends and Perspectives in the Digital Era

Chaki

Krawczak

2022

Materials

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Non-destructive testing (NDT) techniques are usually used for the characterisation of defects arising in polymer composites during manufacturing or in-service use. However, each of these NDT techniques cannot always allow a full diagnosis of the material’s or component’s structural health. Thus, several techniques have to be combined in order to improve the diagnosis of the damaged state of composite structures and their evolution during the part’s life span. This opinion paper proposes a critical overview of the use and applicability of these NDT techniques for the detection and characterisation of damage to structural composite materials in view of in-service performance assessment and residual durability prognosis. It also addresses some current trends of structural health monitoring (SHM) of these materials, such as sensor–actuator embedding and NDT data fusion, and draws future perspectives on how composite SHM could evolve in the digital era, taking advantage of artificial intelligence, Internet of Things and big data to implement digital twins.

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Automated Quality Characterization for Composites Using Hybrid Ultrasonic Imaging Techniques

Cited by 5 publications

References 20 publications

Damage Detection of Carbon Face Sheet Nomex Sandwich Composites with Image Processing Technique

Damage Detection of Carbon Face Sheet Nomex Sandwich Composites with Image Processing Technique

Nondestructive testing and evaluation techniques of defects in fiber-reinforced polymer composites: A review

Non-Destructive Health Monitoring of Structural Polymer Composites: Trends and Perspectives in the Digital Era

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