Infrared Thermography Non-Destructive Testing of Composite Materials

Wu, Cui Qin; Wang, Wei Ping; Yuan, Qi Gang; Li, Yan Jun; Zhang, Wei; Zhang, Xiang Dong

doi:10.4028/www.scientific.net/amr.291-294.1307

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…As a result of the dissipation of energy, the peak of the temperature-time graph indicated the formation of macrocracks and matrix cracking [38]. However, if temperatures fall within a small spectrum, infrared imaging may misinterpret camera data, making objects unrecognizable [20,24,32,42,46,64]. [38] to test the tensile sample of randomly-oriented short-natural-fiberreinforced phenolic composite material…”

Section: Thermographic Testingmentioning

confidence: 99%

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Non-Destructive Testing (NDT) Method for Defect Detection in Glass Fibre Reinforced Plastic/Polymer (GFRP/GRP) Composite Materials Structures: A Review

Jeffry Jamil,

Eliza M. Yusup,

Shahrul Azmir Osman

2024

ARMNE

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Various industries are considering metal product in lieu composite materials. Structural engineers appreciate glass fibre reinforced plastic/polymer (GFRP/GRP) because to its high modulus of elasticity, ratio of strength to weight, and corrosion resistance features. It has been discovered that structural engineering defects to be leading cause for the catastrophic consequences. This paper provides an overview of available NDT methods that can be employed to assess the quality of GFRP/GRP composite materials. The most common NDT method used by researchers and practitioners is also discussed, along with the advantages, disadvantages, characteristics, and potential applications of these materials. The review will lead the research using ultrasonic testing as a potential method employing low-frequency transducers with multielement architecture. This study will lead industry players, GFRP/GRP manufacturers, researchers, and NDT practitioners towards the development of technical standards for ultrasonic testing on GFRP/GRP in Malaysia.

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Section: Thermographic Testingmentioning

confidence: 99%

“…2. (a)An example of a continuous filament winding equipment production process for GFRP/GRP pipes and (b) A cross-section of GFRP/GRP pipe, highlighting the different layers[64]…”

mentioning

confidence: 99%

Non-Destructive Testing (NDT) Method for Defect Detection in Glass Fibre Reinforced Plastic/Polymer (GFRP/GRP) Composite Materials Structures: A Review

Jeffry Jamil,

Eliza M. Yusup,

Shahrul Azmir Osman

2024

ARMNE

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“…Such approach is common in the automotive industry. Other common applications of the active PVT scheme are in quantitative subsurface defect assessment (cracks, delaminations, impact damages, disbondings, moisture), thermophysical property evaluation; in all kind of industries (Myriounis et al, 2011;Lahiria et al, 2012;Naderi et al, 2012;Wu et al, 2011;Cheng and Tian, 2012;Kutin et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Damage Detection in Composite Body Structures Using Time Compensated Hyperspectral Image Analysis Technique

Iskandarani

2013

American Journal of Applied Sciences

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A novel approach to damage detection in composite car body structures using hyperspectral image index analysis algorithm is presented and discussed. The adapted technique allows the monitoring and analysis of a components structure based on correlation between time spaced thermal images. The technique produces several organized tables resulting from image fusion and frame deviation pixel redistribution calculations, which results in computable matrices. The obtained results proved the technique to be capable of classifying damage with ability to model various types of damage under various conditions. There is a need to accurately identify damaged composite components. This will enable the used algorithm to determine if the level of damage or defect in the component is critical according to established database that takes into account mechanical and physical factors. Testing different composite structures using Hyperspectral technique and Pulse Video Thermography (PVT), as hyperspectral uses different bands with different wavelengths to analyze the image results, which enables better recognition and classification. Successful recognition and component classification obtained with characterization of tested composite

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Towards vibration-based damage detection of civil engineering structures: overview, challenges, and future prospects

Zar,

Hussain,

Akbar

et al. 2024

Int J Mech Mater Des

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In this paper, we delve into the evolving landscape of vibration-based structural damage detection (SDD) methodologies, emphasizing the pivotal role civil structures play in society's wellbeing and progress. While the significance of monitoring the resilience, durability, and overall health of these structures remains paramount, the methodology employed is continually evolving. Our focus encompasses not just the transformation brought by the advent of artificial intelligence but also the nuanced challenges and future directions that emerge from this integration. We shed light on the inherent nonlinearities civil engineering structures face, the limitations of current validation metrics, and the conundrums introduced by inverse analysis. Highlighting machine learning's (ML) transformative role, we discuss how techniques such as artificial neural networks and support vector machine's have expanded the SDD's scope. Deep learning's (DL) contributions, especially the innovative capabilities of convolutional neural network in raw data feature extraction, are elaborated upon, juxtaposed with the potential pitfalls, like data overfitting. We propose future avenues for the field, such as blending undamaged real-world data with simulated damage scenarios and a tilt towards unsupervised algorithms. By synthesizing these insights, our review offers an updated perspective on the amalgamation of traditional SDD techniques with ML and DL, underlining their potential in fostering more robust civil infrastructures.

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Infrared Thermography Non-Destructive Testing of Composite Materials

Cited by 5 publications

References 3 publications

Non-Destructive Testing (NDT) Method for Defect Detection in Glass Fibre Reinforced Plastic/Polymer (GFRP/GRP) Composite Materials Structures: A Review

Non-Destructive Testing (NDT) Method for Defect Detection in Glass Fibre Reinforced Plastic/Polymer (GFRP/GRP) Composite Materials Structures: A Review

A New Approach to Damage Detection in Composite Body Structures Using Time Compensated Hyperspectral Image Analysis Technique

Towards vibration-based damage detection of civil engineering structures: overview, challenges, and future prospects

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