Article
Chemistry, Multidisciplinary
Baoping Ji, Qingdong Zhang, Jianshu Cao, Boyang Zhang, Liyuan Zhang
Summary: This paper presents a testing method based on laser ultrasonic bulk waves for the detection of interface delamination defects in a Cu/Al bimetallic plate produced by sandwich rolling. Numerical simulation and experimental analysis were conducted to determine suitable parameters and features, with a detection point-to-excitation point distance of 2 mm for resolution and efficiency. Experimental results were in good agreement with simulation results, showing the effectiveness of the method for detecting delamination in Cu/Al bimetallic composites.
APPLIED SCIENCES-BASEL
(2021)
Article
Optics
Hong Zhou, Feng Gao, Peng Gu
Summary: In this study, the delamination detection of composite materials was investigated using laser ultrasonic micro defect detection combined with phased array technology to address the problems of low signal-to-noise ratio (SNR) and low detection accuracy. The propagation characteristics of laser ultrasound during delamination evolution were obtained through finite element simulation, and a time-modulated phased array laser ultrasound test platform was designed to improve the SNR and detection efficiency. A laser ultrasonic feature extraction method based on the improved Hilbert-Huang transform was proposed, and the maximum amplitude imaging of delamination defects was performed using the extracted feature parameters. Experimental results demonstrated that the proposed method accurately characterizes delamination characteristics, effectively solves the interference of resin layer, and visualizes delamination in composites.
Article
Mechanics
Mohammad Bahonar, Mir Saeed Safizadeh
Summary: This research utilized air-coupled ultrasonic testing to detect composite defects, improving delamination detection accuracy through proper test setup and the use of a support vector machine classifier.
COMPOSITE STRUCTURES
(2022)
Article
Chemistry, Physical
Tianfang Gao, Yishou Wang, Xinlin Qing
Summary: This study addresses the challenges of using laser techniques to detect delamination in CFRP composites, by pasting aluminum foil onto the surface and proposing algorithms for localized wave energy detection. It was found that selecting appropriate time windows is crucial for identifying each delamination defect in the composites.
Article
Optics
Baoping Ji, Qingdong Zhang, Jianshu Cao, Hao Li, Boyang Zhang
Summary: This study proposed a non-contact detection method based on laser ultrasonic waves for internal delamination defects in stainless steel/carbon steel laminated strip. The experimental signals were in good agreement with simulation waveforms, indicating the effectiveness of laser ultrasonic method in detecting delamination based on waveform amplitude.
Article
Materials Science, Characterization & Testing
Umut Caliskan, Fikret Yildiz, Samet Teke, Ahmet Turan Ozdemir
Summary: This study investigates the impact delamination behavior of composite laminates repaired by external patches using 3D finite element analysis and ultrasonic testing. The proposed numerical model accurately predicts delamination areas, and the ultrasonic methods are successful in detecting different types of damage. The material and thickness of the composite patch have an effect on the delamination damage.
JOURNAL OF NONDESTRUCTIVE EVALUATION
(2022)
Article
Engineering, Multidisciplinary
Lan-Ling Fu, Jin-Shui Yang, Shuang Li, Hao Luo, Jian-Hao Wu
Summary: This study proposes a damage detection method based on an artificial neural network, which achieves high-precision, non-contact online non-destructive testing of composite materials through laser ultrasonic technology. Experimental results show that this method has faster scanning, less calculation, and greater accuracy, achieving a detection accuracy of 99.6% for cracks and accurately measuring the location and size of the damage.
Article
Polymer Science
James A. Quinn, James R. Davidson, Ankur Bajpai, Conchur M. O. Bradaigh, Edward D. McCarthy
Summary: This investigation focuses on the inspection capabilities of in-field advanced ultrasound detection for ultra-thick glass fibre-reinforced polyester composites. Delamination flaws were created at calibrated depths using custom moulding techniques. The study utilized the full matrix capture technique with an on-board total focusing method and a 0.5 MHz linear array probe to detect flaws. The results demonstrate an inverse relationship between the ability to find delaminations and plate thicknesses, with successful inspections up to 74 mm.
Article
Engineering, Multidisciplinary
Yuan Liu, Xiaobin Hong, Bin Zhang
Summary: In this paper, a non-elliptical probability imaging (NEPI) method based on nonlinear ultrasonic guided waves is proposed for the delamination damage detection in anisotropic composites. The method is able to accurately display the damage location and has high damage sensitivity.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Automation & Control Systems
Chunhao Wang, Pengnan Li, Shujian Li, Xinyi Qiu, Qiulin Niu, Changping Li, Tae Jo Ko
Summary: This study found that longitudinal-torsional ultrasonic vibration assisted drilling can effectively reduce the mean thrust force and defects in CFRP machining, resulting in better hole wall morphology and lower comprehensive damage factor.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Mechanics
Feng Guo, Jiu Hui Wu
Summary: The problem of interface delamination of composite laminates excited by ultrasonic shear horizontal waves is investigated, with a focus on the coupling resonance mechanism of interface shear delamination. It is found that as the layer thickness increases, the frequency bands and resonance frequencies of interface shear delamination shift to the low frequency region. The analytical results are verified by a designed stratification experiment, providing a theoretical and experimental basis for the promotion and application of ultrasonic interface shear delamination technology.
COMPOSITE STRUCTURES
(2021)
Article
Engineering, Multidisciplinary
Bingquan Wang, Weijia Shi, Bo Zhao, Jiubin Tan
Summary: This paper proposed a MDI algorithm for detecting delamination defects in carbon fiber composite plates using air-coupled Lamb waves. The MDI algorithm contained modal decomposition process and rotating scanning defect probability imaging method, which was more suitable for analyzing the nonlinear and non-stationary leakage Lamb waves signal. The effectiveness of MDI algorithm for realizing the delamination defects of carbon fiber composite plates was verified by qualitative imaging and quantitative characterization comparing with the defect probability imaging (DPI) algorithm.
Article
Engineering, Multidisciplinary
Bingquan Wang, Weijia Shi, Bo Zhao, Jiubin Tan
Summary: This paper proposes a modal decomposition imaging (MDI) algorithm for detecting delamination defects in carbon fiber composite plates. The algorithm utilizes modal decomposition and rotating scanning defect probability imaging to analyze the nonlinear and non-stationary signals. The effectiveness of the algorithm is verified through qualitative and quantitative comparison.
Article
Optics
Baoping Ji, Jianshu Cao, Mingyang Yu, Zhijun Chen, Qingdong Zhang
Summary: A laser ultrasonic method based on guided waves was proposed to characterize delamination defects in Cu/Al composites. The results showed that the amplitudes of guided waves can effectively characterize the delamination defects, and the C-scan imaging can accurately show the location and size of the defects.
Article
Mechanics
Dao Kun Lim, K. B. Mustapha, C. P. Pagwiwoko
Summary: This paper presents an alternative strategy for simultaneous predictions of severity and location parameters of delamination in composite plates using a combination of random forests (RF) and natural frequency-shift damage assessment methods. The study includes the establishment of a robust finite element (FE) procedure, validation of the FE procedure, and development of four RF models with different architectures. Results show that the proposed RF-based method is capable of accurately predicting five parameters quantifying the location and severity of delamination in composite plates, with a coefficient of correlation as high as 0.996 and up to 90% accuracy for classifying the delaminated interface.
COMPOSITE STRUCTURES
(2021)
