Current and future needs and research for composite materials NDE

Cramer, K. Elliott

doi:10.1117/12.2291921

Cited by 10 publications

(6 citation statements)

References 21 publications

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“…This is crucial for successful damage progression models, which are responsible for remaining life predictions of the structure. For example, it has been reported that the depth of delamination is directly related to the damage progression mechanisms (Canturri et al 2013;Elliott Cramer 2018), so it has to be fully defined by the monitoring system. Different manufacturing processes and novel materials will require different characterization data and assessment of all defects that are present in the structure.…”

Section: Discussionmentioning

confidence: 99%

Ultrasonic Methods

Samaitis

Jasiūnienė

Paćko

et al. 2021

Structural Health Monitoring Damage Detection Systems for Aerospace

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Ultrasonic inspection is a well recognized technique for non-destructive testing of aircraft components. It provides both local highly sensitive inspection in the vicinity of the sensor and long-range structural assessment by means of guided waves. In general, the properties of ultrasonic waves like velocity, attenuation and propagation characteristics such as reflection, transmission and scattering depend on composition and structural integrity of the material. Hence, ultrasonic inspection is commonly used as a primary tool for active inspection of aircraft components such as engine covers, wing skins and fuselages with the aim to detect, localise and describe delaminations, voids, fibre breakage and ply waviness. This chapter mainly focuses on long range guided wave structural health monitoring, as aircraft components require rapid evaluation of large components preferably in real time without the necessity for grouding of an aircraft. In few upcoming chapters advantages and shortcommings of bulk wave and guided wave ultrasonic inspection is presented, fundamentals of guided wave propagation and damage detection are reviewed, the reliability of guided wave SHM is discussed and some recent examples of guided wave applications to SHM of aerospace components are given.

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Section: Discussionmentioning

confidence: 99%

Ultrasonic Methods

Samaitis

Jasiūnienė

Paćko

et al. 2021

Structural Health Monitoring Damage Detection Systems for Aerospace

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“…Another significant challenge is the automated fiber placement technique, which involves the robotic layering of pre-impregnated fibers on a composite panel. This method can introduce defects such as gaps, laps, and twists [5].…”

Section: Introductionmentioning

confidence: 99%

Review of Nondestructive Testing Methods for Aerospace Composite Materials

Shetu

2024

J. Comput. Mech. Manag

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Composite structures and materials have seen significant advancements in cost-effectiveness, product eﬀiciency, and specific properties, leading to their extensive use in the aerospace industry. Reliable nondestructive testing (NDT) of composites is crucial for reducing maintenance costs and addressing safety concerns. This review provides a comprehensive analysis of various NDT methods, including Ultrasonic Testing, Acoustic Emission, Eddy Current Testing, Shearographic Testing, Infra-Red Thermography, and X-Ray Radiography. Each method’s principles, instruments, and applications for defect detection and damage evaluation in composite materials are thoroughly examined. The paper highlights the strengths and limitations of these NDT techniques, emphasizing their roles in ensuring the structural integrity of aerospace composites. Ultrasonic Testing and Infra-Red Thermography are identified as flexible and cost-effective solutions, widely applied in both academic research and industrial sectors. Despite the challenges in providing a complete diagnostic of structural integrity, each NDT method offers unique advantages. Future research in NDT for composites will focus on integrating advanced data processing techniques, such as machine learning and deep learning, and developing smart inspection systems with high precision and rapid data processing capabilities.

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“…However, the longevity of modern aerospace structures depends on variable environmental conditions, making it difficult to accurately predict the end-of-life of a component based on flight hours alone. To prevent catastrophic failures and unnecessary and costly component replacements, critical components are inspected regularly using non-destructive evaluation (NDE) methods [3,4].…”

Section: Introductionmentioning

confidence: 99%

Generative adversarial networks for real-time realistic physics simulations

Harlow

Martinez

Han

et al. 2023

Thermosense: Thermal Infrared Applications XLV

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Lynntech is seeking to develop real-time realistic nondestructive evaluation (NDE) and structural health monitoring (SHM) physics-based simulations, and automated data reduction/analysis methods, for large datasets. Recently, computational efficient Neural Network based simulations have demonstrated the possibility to synthesize data with an orders-of-magnitude increase in speed compared to standard computational techniques [1,2]. In this contribution, we report our initial experimental results for our Generative Adversarial Network for Realistic Physics Simulations, or GAN4RPS.

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Current and future needs and research for composite materials NDE

Cited by 10 publications

References 21 publications

Ultrasonic Methods

Ultrasonic Methods

Review of Nondestructive Testing Methods for Aerospace Composite Materials

Generative adversarial networks for real-time realistic physics simulations

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