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Dynamic wave tunnel lining GPR images multi-disease detection method based on deep learning NDT E Int. (IF 4.2) Pub Date : 2024-03-01 Liang Zhao, Qiuhao Xu, Zhanping Song, Shuaiqi Meng, Shipeng Liu
Ground-penetrating radar (GPR) is widely used in tunnel lining non-destructive testing. However, diverse diseases need more data, leading to low accuracy in multi-disease detection. This paper proposes a dynamic wave tunnel lining GPR images multi-disease detection method based on deep learning to improve the detection accuracy of multi-diseases. Firstly, the tunnel lining generative adversarial networks
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A novel differential excitation capacitive sensing for hydrogen pipeline inspection NDT E Int. (IF 4.2) Pub Date : 2024-02-29 Lei Peng, Xuhui Huang, Guanyu Piao, Yiming Deng
Transportation and storage for hydrogen have garnered increasing attention in recent years because of the rapid development of low-carbon hydrogen energy. Pipeline is regarded as one of the most efficient ways for hydrogen transportation. However, many research found that the active hydrogen atoms can penetrate into the material and induce cracking on the pipe. As the initial hydrogen induced cracking
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Delamination detection in CFRP laminates using a chirp guided wave mixing technique NDT E Int. (IF 4.2) Pub Date : 2024-02-28 Zifeng Lan, Osamu Saito, Yoji Okabe
In this study, we propose a straightforward and easy-to-use method (chirp guided wave mixing, CGWM) for detecting delaminations in CFRP laminates. In this method, two long-duration chirp signals with reversely varying frequency bands are applied to two piezoelectric actuators to generate two broadband guided wave bursts. These waves interact within the specimen, producing sum-frequency harmonics around
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Enhancing resistance to low-velocity impact of electrospun-manufactured interlayer-strengthened CFRP by using infrared thermography NDT E Int. (IF 4.2) Pub Date : 2024-02-24 Pengfei Zhu, Hai Zhang, Stefano Sfarra, Fabrizio Sarasini, Rubén Usamentiaga, Vladimir Vavilov, Clemente Ibarra-Castanedo, Xavier Maldague
This study investigates the effect of electrospun nylon nanofibres modification on the low-velocity impact resistance of carbon fibre reinforced polymer (CFRP) laminates. Integration of multiple excitation infrared thermography using advanced image processing techniques is used to characterize the damage as a function of impact energy. The results show an enhanced damage resistance for the modified
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Yield strength evaluation of 3D-printed Ti–6Al–4V components based on non-contact eddy-current measurement NDT E Int. (IF 4.2) Pub Date : 2024-02-23 Jongsu Lee, Hoon Sohn, Hyung Jin Lim
The demand for metal additive manufacturing (AM), also known as three-dimensional (3D) printing, is increasing owing to its ability to produce components with complex shapes, heterogeneous material properties, low material waste, etc. However, for broader acceptance of metal AM, quality assurance of mechanical properties, such as elastic (Young's) modulus, Poisson's ratio, and ductility, is becoming
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Measurement and separation of forces and lift-offs employing an inductance-to-digital converters (LDC)-based orthogonal LC resonance sensor NDT E Int. (IF 4.2) Pub Date : 2024-02-23 Changrong Yang, Guiyun Tian, Qiuping Ma, Mark Robinson, Xiaolong Lu, Emmanuel Tashiwa Ibrahim, Wenjie Li
Inductor-capacitor () resonance sensors based on the sensing materials’ electromagnetic properties have potential to replace strain gauges for wheel-rail contact force measurement. However, as traditional eddy current testing acts, the lift-off effects also affect the results of the resonance sensing which can cause the misinterpretation between forces or lift-offs. This paper proposed an LDC-based
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RHiREM: Intelligent diagnostic framework for pipeline Eddy Current Internal Inspection based on reinforcement learning with hierarchical reward exploration mechanism NDT E Int. (IF 4.2) Pub Date : 2024-02-21 Lanqin Su, Bin Gao, Xiangyu Zhao, Yang Fu, Wai Lok Woo
Pipeline safety is of paramount importance for socio-economic development, necessitating regular inspection and maintenance. The complexity of the internal pipeline environment and the presence of irregular noise in detection data, however, pose significant challenges to pipeline inspection technologies. Additionally, the reliance on manual expertise for inspection and the absence of standardized assessment
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Towards an in-process ultrasonic phased array inspection method for narrow-gap welds NDT E Int. (IF 4.2) Pub Date : 2024-02-20 Ewan Nicolson, Ehsan Mohseni, David Lines, Katherine M.M. Tant, Gareth Pierce, Charles N. MacLeod
The marriage of welding and Non-Destructive Testing (NDT) processes at the point of manufacture has enabled the detection and correction of defects during the welding process. This has demonstrated clear financial and production benefits by reducing weld rework and ensuring schedule certainty, however this is yet to be demonstrated for use with narrow-groove welding practises. Narrow-groove welds are
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Design and experimental verification of phase-reversal Fresnel lens for contact stress characterization NDT E Int. (IF 4.2) Pub Date : 2024-02-17 Enxiao Liu, Yongmeng Liu, Jiubin Tan, Youfan Song, Jinde Zheng, Qingyun Liu
The accurate characterization of the contact stress on the mating surfaces of assembly components is a key means to ensure the assembly accuracy and operational safety of aero-engines. In this paper, a phase-reversal Fresnel lens for contact stress characterization is designed to solve the problem of low spatial resolution of contact stress characterization by the non water immersion ultrasonic method
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Metamaterial enhanced subwavelength imaging of inaccessible defects in guided ultrasonic wave inspection NDT E Int. (IF 4.2) Pub Date : 2024-02-12 John Kiprotich Birir, Michael James Gatari, Mohamed Subair Syed Akbar Ali, Prabhu Rajagopal
Detection of defects located close to design features such as welds and supports remains a challenge in guided ultrasonic wave inspection, primarily due to the diffraction limit. Although metamaterial based approaches hold promise, the best previous work in this regard required placing a sensor right above the defect location to achieve resolution. Here, a novel angled channel metamaterial concept
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Non-destructive quantitative evaluation of delamination depth and thickness in GFRP using microwave reflectometry NDT E Int. (IF 4.2) Pub Date : 2024-02-09 Yang Fang, Xihan Yang, Hong-en Chen, Zhenmao Chen, Ruonan Wang, Yong Li, Shejuan Xie
Glass fiber reinforced polymer (GFRP) laminates are extensively used across various engineering fields. However, the occurrence of internal delamination defects during its production and usage can severely jeopardize equipment safety. Consequently, there's a pressing need to quantitatively detect both the thickness and depth (i.e., the distance from the delamination defects to the GFRP laminates' surface)
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Novel thresholding method and convolutional neural network for fiber volume content determination from 3D μCT images NDT E Int. (IF 4.2) Pub Date : 2024-02-09 Juliane Blarr, Philipp Kunze, Noah Kresin, Wilfried V. Liebig, Kaan Inal, Kay A. Weidenmann
In order to determine fiber volume contents (FVC) of low contrast CT images of carbon fiber reinforced polyamide 6, a novel thresholding method and a convolutional neural network are implemented with absolute deviations from experimental values of 2.7% and, respectively, 1.46% on average. The first method is a sample thickness based adjustment of the Otsu threshold, the so-called “average or above
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Sequential niching particle swarm optimization algorithm for localization of multiple damage locations using fiber bragg grating sensors NDT E Int. (IF 4.2) Pub Date : 2024-02-08 Rohan Soman
Structural Health Monitoring (SHM) systems have a potential to reduce lifecycle costs of structures through maintenance planning and lifetime extension. Hence, there is a lot of active research in the area for SHM of civil and mechanical structures. The SHM system should be low cost, suitable for continuous monitoring, able to detect small levels of damage. Guided waves (GW) based SHM techniques allow
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Evidence for contributions of lack-of-fusion defects and dislocations to acoustic nonlinearity and loss in additively manufactured aluminum NDT E Int. (IF 4.2) Pub Date : 2024-02-07 Ward L. Johnson, Paul R. Heyliger, Jake T. Benzing, Orion L. Kafka, Newell H. Moser, Derek Harris, Jeremy Iten, Nik W. Hrabe
Resonant acoustic nonlinearity and loss have previously been found to be correlated with porosity in additively manufactured (AM) commercially pure aluminum and stainless steel, and this effect offers a potential basis for rapid nondestructive qualification of AM metal parts with complex geometries in industrial settings. This study explores possible physical mechanisms for this correlation and its
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Physical constraints-based terahertz thickness measurement method of thermal barrier coating NDT E Int. (IF 4.2) Pub Date : 2024-02-05 Binghua Cao, Tao Deng, Mengbao Fan, Fengshan Sun, Bo Ye
Due to the uneven microstructure of the thermal barrier coatings (TBCs) and dispersion effect, there is a discrepancy between the measured terahertz (THz) signals and the theory, which leads to the optimization process of the model inversion method is prone to local extremes. This results in a lack of reliability of THz thickness measurements based on model inversion. A THz inversion method based on
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A novel force-temperature model for evaluating internal forces in CFRP by means of infrared thermography NDT E Int. (IF 4.2) Pub Date : 2024-02-05 Pengfei Zhu, Rongbang Wang, Stefano Sfarra, Vladimir Vavilov, Xavier Maldague, Hai Zhang
Carbon fibre reinforced polymer (CFRP) composites are commonly used in the aerospace industry due to their excellent mechanical properties. The extreme mechanical environments make CFRP to exceed its yield limit, which is associated with composite defects, such as delaminations and cracks. Therefore, it is important to develop a stable, non-contact and highly accurate stress measurement technique.
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Multi modal data fusion of PAUT with thermography assisted by Automatic Defect Recognition System (M-ADR) for NDE Applications NDT E Int. (IF 4.2) Pub Date : 2024-02-02 Sudharsan P.L., Thulsiram Gantala, Krishnan Balasubramaniam
In this paper, we proposed a method for detecting and characterizing defects in metals by combining the techniques of phased-array ultrasonic testing (PAUT) with pulsed thermography (PT) using a data fusion coordinate transformation technique to combine the capabilities of the two modalities into a volumetric dataset. PAUT inspection is limited to internal defects, whereas PT inspection is limited
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Spatial and temporal deep learning for defect detection with lock-in thermography NDT E Int. (IF 4.2) Pub Date : 2024-02-02 Simon Schmid, Juliana Reinhardt, Christian U. Grosse
Lock-in thermography is a common non-destructive testing method for the investigation of subsurface defects in thermal conductive materials. The advantages of this method are that it is contact free and large areas can be investigated. However, in comparison to other NDT techniques (e.g., X-ray computed tomography), the resolution is lower. In order to achieve cost savings, automating the evaluation
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Zoom in on the target network for the prediction of defective images and welding defects' location NDT E Int. (IF 4.2) Pub Date : 2024-02-02 Xiaopeng Wang, Baoxin Zhang, Xinghua Yu
Automatic welding defects detection is crucial in intelligent welding manufacturing. However, the small size of defects hampers the advancement of automatic welding defects detection. This study proposes a Zoom in on the Target (ZIOT) network, which systematically performs tasks such as welded joint segmentation, defective image detection, and prediction of welding defect locations. The proposed model
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Research on 3D ground penetrating radar deep underground cavity identification algorithm in urban roads using multi-dimensional time-frequency features NDT E Int. (IF 4.2) Pub Date : 2024-02-02 Fanruo Li, Feng Yang, Yunli Xie, Xu Qiao, Cui Du, Ce Li, Qiyue Ru, Fu Zhang, Xinhao Gu, Zichun Yong
The 3D ground penetrating radar (GPR) is the main method for detecting underground cavities in urban roads. Due to the weak reflected signal energy of deep road cavities with depths exceeding 2.5m, there is a significant shortage of available training samples. Existing identification algorithms primarily focus on the detection of shallow road cavities. As a result, the accuracy of deep cavity identification
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Quasi-phase-matched nonlinear Lamb waves in composite laminates for material degradation monitoring NDT E Int. (IF 4.2) Pub Date : 2024-01-29 Shengbo Shan, Runpu Ke, Yatong Ma, Yang Song, Li Cheng
Monitoring material degradation and in-service damage in fibrous composites at an early stage is challenging, yet critical for many industrial applications. Second harmonic Lamb waves, which result from the interaction of fundamental waves with material microstructural defects, have great potential for Structural Health Monitoring (SHM) applications. However, understanding of the second harmonic generation
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Corrigendum to “Learning defects from aircraft NDT data” [NDT & E Int 138 (2023) 1–13 102885] NDT E Int. (IF 4.2) Pub Date : 2024-01-26 Navya Prakash, Dorothea Nieberl, Monika Mayer, Alfons Schuster
Abstract not available
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Fastener hole inspection using 2D phased array NDT E Int. (IF 4.2) Pub Date : 2024-01-24 Yanghao Wu, Paul D. Wilcox, Anthony J. Croxford
Fastener hole cracks, resulting from stress concentration around the hole, are potential sources of failure in mechanical structures. Traditionally, inspection involves manually moving a single ultrasonic probe around the hole or using an eddy current probe to move through the hole. However, single ultrasonic probe inspection is time-consuming and needs skilful operators. Eddy current inspection requires
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Experimental study on the nonlinear mixing of ultrasonic waves in concrete using an array technique NDT E Int. (IF 4.2) Pub Date : 2024-01-20 Fiona J. Weiss, Jin-Yeon Kim, Kimberly E. Kurtis, Don VanderLaan, Charles Nate Tenorio, Laurene J. Jacobs
This research develops a procedure that combines ultrasonic array technology with non-collinear ultrasonic wave mixing to detect and scan internal microscale damage in concrete. Exploiting the underlying mechanics of nonlinear wave mixing, two incident shear wave beams generated by two ultrasonic transducer arrays (and with frequencies low enough to propagate without being overly scattered by the aggregate)
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Lightweight detector based on knowledge distillation for magnetic particle inspection of forgings NDT E Int. (IF 4.2) Pub Date : 2024-01-15 Aixian Shi, Qiang Wu, Xunpeng Qin, Zhiwei Mao, Mengwu Wu
Magnetic particle inspection (MPI) is a widely-used technique within the realm of non-destructive testing (NDT), aimed at detecting defects located on or just beneath the surface of ferromagnetic parts. Deep learning-based object detection methods have demonstrated the ability to quickly and accurately identify targets within complex backgrounds, a quality well-aligned with the demands of crack detection
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Investigation of the applicability of infrared thermography detection of grouting voids in prestressed tendon ducts under hydration heat excitation NDT E Int. (IF 4.2) Pub Date : 2024-01-19 Shengli Li, Xing Gao, JiangFei Wang, Quan Yang, Nan Jiang, Pengfei Zheng, Can Cui, Shanling Han, Shiji Sun
Infrared thermography (IRT) has been successfully utilized to identify void defects in external prestressed tendon ducts (without concrete protective layers) under hydration heat excitation. Nonetheless, applying IRT technology for the inspection of internal prestressed tendon ducts presents challenges due to the presence of the thicker concrete protective layer, which can significantly influence the
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An enhancement algorithm based on multi-grayscale fusion and edge-weight for low contrast X-ray image NDT E Int. (IF 4.2) Pub Date : 2024-01-13 Yapeng Wu, Dalong Tan, Chao Hai, Min Yang, Hong Zhang, Jing Liu
X-ray images of various complicated components have the issue of poor contrast, which prevents the structural information from being completely portrayed. A straightforward and efficient enhancement method based on multi-grayscale fusion and edge-weight is proposed to improve the quality of X-ray images. This approach makes use of several established image processing techniques. First, multiple derived
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Measurement of bolt axial stress using a combination of trailing wave and shear wave ultrasound NDT E Int. (IF 4.2) Pub Date : 2024-01-18 Xi Li, Shujuan Wang, Zhanpeng Li, Runjie Yang, Zhichao Li
This paper proposes a new method to measure the axial stress of bolt based on the combination of first trailing (T1) wave and shear (S) wave ultrasound using an electromagnetic acoustic transducer (EMAT). T1 wave is generated by the mode conversion of S and longitudinal (L) waves. By analyzing the formation and propagation path of the T1 wave in bolt through the finite element (FE) model, the travelling
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X-ray detection of ceramic packaging chip solder defects based on improved YOLOv5 NDT E Int. (IF 4.2) Pub Date : 2024-01-10 Ke Li, Linhai Xu, Lei Su, Jiefei Gu, Yong Ji, Gang Wang, Xuefei Ming
It is of great significance to detect solder defects of ceramic packaging chips by X-ray detection to improve the quality of electronic products. However, the scale of the solder defects varies violently and there are a lot of tiny, dense, and long narrow defects, making it difficult to identify timely and accurately. To solve the issues mentioned above, an improved object detection model based on
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Image enhancement method for low-light pipeline weld X-ray radiographs based on weakly supervised deep learning NDT E Int. (IF 4.2) Pub Date : 2024-01-10 Weichao Qian, Shaohua Dong, Lin Chen, Qingying Ren
X-ray inspection is the most intuitive approach for the non-destructive testing (NDT) of pipeline weld defects to avoid pipeline safety accidents. However, identifying pipeline weld defects in dark X-ray images is difficult due to low greyscale values. This paper proposed a weakly supervised network for denoising and enhancing low-light pipeline weld X-ray images. First, a semi-supervised network based
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Pyramid cross attention network for pixel-wise surface defect detection NDT E Int. (IF 4.2) Pub Date : 2024-01-09 Zihan Cheng, Haotian Sun, Yuzhu Cao, Weiwei Cao, Jingkun Wang, Gang Yuan, Jian Zheng
Surface defect detection plays a crucial role in improving the overall quality of industrial production processes and ensuring that the resulting products meet the required quality standards. However, detecting these defects can be challenging due to various issues, including low image contrast, significant background noise, variable defect scales, and blurred boundaries. Although several segmentation
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Improved automatic defect detection from X-ray scans for aluminum conductor composite core wire based on modified Skip-GANomaly NDT E Int. (IF 4.2) Pub Date : 2024-01-09 Yining Hu, Ning He, Lizhe Xie, Dabing Chen, Chao Gao, Hui Ding
The Aluminium Conductor Composite Core (ACCC) is a critical component of power transmission that needs automated nondestructive defect detection to prevent wire breaking accidents and ensure regular city operations. Unfortunately, the current supervised target detection scheme is limited in its generalization ability due to the diversity of defect morphology and the high cost of acquiring samples.
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GPR detection localization of underground structures based on deep learning and reverse time migration NDT E Int. (IF 4.2) Pub Date : 2024-01-06 Jianwei Lei, Hongyuan Fang, Yining Zhu, Zhiqing Chen, Xiangyu Wang, Binghan Xue, Man Yang, Niannian Wang
Ground penetrating radar (GPR) is widely used in detection localization of underground structure anomalous bodies. However, it is impossible to achieve accurate imaging localization of underground structures targets only by the waveform of GPR detection profiles due to the interference of clutter signals in engineering application. In this paper, a RefineNet deep learning network based on hybrid loss
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Non-destructive investigation of thermophysical properties on the China's space station: In-orbit experiment measurements and analysis NDT E Int. (IF 4.2) Pub Date : 2024-01-07 Qiu Zhong, Liping Yang, Ye Tao, Huidong Li, Jianding Yu, Hongen Zhong, Yang Zhang
This paper discusses the current state of non-destructive research on the density, surface tension and viscosity of molten samples using the electrostatic levitation furnace (ELF) aboard the China Space Station (CSS). To address the challenges posed by the microgravity environment during the non-destructive testing process of containerless technology, we have developed several solutions. These include
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Rapid damage reconstruction imaging of composite plates using non-contact air-coupled Lamb waves NDT E Int. (IF 4.2) Pub Date : 2024-01-06 Kai Luo, Yujia Liu, Wei Liang, Liang Chen, Zhibo Yang
Air-coupled ultrasonic Lamb wave damage imaging is a method for rapid, non-contact damage detection of plate specimens. However, the current technique based on Lamb waves has limitations regarding accuracy and quality of imaging. To address this issue, an improved bilateral boundary-enhanced reconstruction algorithm for the probabilistic inspection of defects (BBERAPID) is proposed. This algorithm
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Feature detection in guided wave ultrasound measurements using simulated spectrograms and generative machine learning NDT E Int. (IF 4.2) Pub Date : 2024-01-06 Isaac I. Setshedi, Daniel N. Wilke, Philip W. Loveday
Guided wave ultrasound field measurements capture reflections from aluminothermic welds in the rail track at unknown distances from a transducer. The measured guided wave signals are complex and challenging to interpret due to multiple dispersive modes propagating in the rail, changing environmental conditions, and noise. Data-driven machine learning techniques have been applied to complex signal-processing
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Explaining impact echo geometry effects using modal analysis theory and numerical simulations NDT E Int. (IF 4.2) Pub Date : 2024-01-02 Fabian Dethof, Sylvia Keßler
Geometry effects can strongly influence the resonance frequency and defect detectability for impact echo testing when lateral dimensions are small compared to the thickness of the testing object. Since there is a lack of understanding of these effects, it is the aim of this study to review the impact echo testing method using modal analysis. The comparison between measurements on reference specimens
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Continuous laser-line scanning thermography with data-processing algorithm for rapid and accurate defect inspection NDT E Int. (IF 4.2) Pub Date : 2023-12-26 Chaoyi Li, Jianguo Zhu, Lijun Zhuo, Jian Li, Dongsheng Zhang
As an emerging nondestructive evaluation method, line-scanning thermography is efficient for defect detection and location. In this study, continuous laser-line scanning thermography combined with a corresponding data-processing algorithm is developed to realize highly accurate and highly efficient nondestructive evaluation of large structures. First, the configuration of continuous laser-line-scanning
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Enhancing weld defect detection and classification with MDCBNet: A Multi-Scale Dense Cross Block Network for Improved explainability NDT E Int. (IF 4.2) Pub Date : 2023-12-26 Satish Sonwane, Shital Chiddarwar
MDCBNet, a Multi-Scale Dense Cross Block Network designed explicitly for enhancing the detection and classification of weld defects, is presented in this paper. The primary emphasis of this work is attaining systematic weld defect detection and classification using 2-class and 5-class scenarios. The network's explainability is also analyzed to understand its classification decisions better. From extensive
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Multi-feature vision transformer for automatic defect detection and quantification in composites using thermography NDT E Int. (IF 4.2) Pub Date : 2023-12-30 Jinkang Liu, Xiangyun Long, Chao Jiang, Wangwang Liao
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Non-destructive estimation of mechanical properties in Usibor® 1500 via thermal diffusivity measurements: A thermographic procedure NDT E Int. (IF 4.2) Pub Date : 2023-12-30 G. Dell’Avvocato, P. Bison, M.E. Palmieri, G. Ferrarini, D. Palumbo, L. Tricarico, U. Galietti
The study investigated the anti-correlation between thermal diffusivity and Ultimate Tensile Strength (UTS) in Usibor® 1500 steel. The non-destructive pulsed laser spot thermography technique was used to analyze fifteen boron steel specimens with varying bainite/martensite phase percentages, while the UTS was measured through uniaxial tensile tests. A 23 % thermal diffusivity difference was found between
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Magnetic particle inspection: Status, advances, and challenges — Demands for automatic non-destructive testing NDT E Int. (IF 4.2) Pub Date : 2023-12-28 Qiang Wu, Kang Dong, Xunpeng Qin, Zeqi Hu, Xiaochen Xiong
Magnetic particle inspection (MPI) is a highly sensitive and user-friendly nondestructive technique that remains essential for detecting surface and near-surface defects in ferromagnetic materials. Extensive research and industry applications have been conducted to verify its effectiveness. However, it is crucial to discuss the status of magnetic particle inspection, especially in light of advancements
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A novel reference-free technique for processing one-sided thermal NDT results in the time domain NDT E Int. (IF 4.2) Pub Date : 2023-12-28 V. Vavilov, A. Chulkov, V. Shiryaev, D. Kladov
In this study, simple analytical and numerical solutions were used to introduce a novel technique of processing thermal nondestructive testing (TNDT) results using a one-sided test procedure to determine material apparent diffusivity and represent TNDT results in the time domain without identifying non-defect areas. The technique is based on establishing dimensionless levels in the temperature decay
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Post-tensioning tendon force estimation using eddy currents at various temperature conditions NDT E Int. (IF 4.2) Pub Date : 2023-12-27 Hyung Jin Lim, Ohjun Kwon, Hoon Sohn
This study proposes an eddy current-based tensile force estimation technique for a post-tensioning (PT) tendon under varying temperature conditions. The tensile force in the internal PT tendon is inferred by measuring the compressive stress on the external anchor head. A dual-coil probe consisting of two identical eddy current coils with orthogonal orientations measures the unidirectional loading level
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A review of the microstructural contributions to the acoustic nonlinearity parameter measured with longitudinal and Rayleigh wave second harmonic generation in metals NDT E Int. (IF 4.2) Pub Date : 2023-12-23 Colin L. Williams, Matthew Lear, Parisa Shokouhi
Due to their sensitivities to a specimen's microstructural evolution during processes including heat treatment and plastic deformation, ultrasonic measurements of the acoustic nonlinearity parameter (β) are useful for monitoring microstructural changes and detecting incipient damage in metals. Despite its diagnostic capabilities, the entanglement of different microstructural contributions to the cumulative
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Utilizing non-specular reflection of bounded ultrasonic beams for assessing damage in solid plates NDT E Int. (IF 4.2) Pub Date : 2023-12-23 Jiaxiang Wang, Mingxi Deng
This paper investigates the potential of utilizing non-specular reflection of a bounded ultrasonic beam in a liquid-solid-liquid structure as a method for assessing damage in solid plates. The study focuses on understanding the acoustic field formulation resulting from this type of reflection, as well as examining the impact of incident angles and material damage (indicated by reduced Young's modulus)
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In-situ stress measurement method for CFRP plates based on the Lyapunov exponent of air-coupled ultrasonic Lamb waves NDT E Int. (IF 4.2) Pub Date : 2023-12-22 Bingquan Wang, Weijia Shi, Bo Zhao, Jiubin Tan
The air-coupled ultrasonic technique is a reliable method for measuring the stress state of composite plates. This paper aims to address the requirement for efficient and accurate stress measurement of large component composite plates by proposing an air-coupled ultrasonic in-situ measurement method. Ultrasonic Lamb waves can propagate over long distances while maintaining sensitivity to slight changes
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Guided waves in long range nondestructive testing and structural health monitoring: Principles, history of applications and prospects NDT E Int. (IF 4.2) Pub Date : 2023-12-22 Peter Cawley
The early work on long range guided wave nondestructive testing (NDT) was largely done in industry, and multiple applications were developed before a surge in academic interest starting in the early 1990s. This paper reviews the history of the field, covering the topics that must be addressed in the design of a test procedure, as well as applications in both NDT and Structural Health Monitoring (SHM)
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In-situ NDT CT image restoration method for concrete based on deep learning by modeling non-ideal focal spot NDT E Int. (IF 4.2) Pub Date : 2023-12-16 Yongshun Xiao, Wenju Peng, Yingxin Wang
This paper presents a novel neural network-based framework designed to enhance the imaging quality of in-situ computed tomography (CT) for testing large and intricate specimens, especially concrete structures. The proposed framework is specifically engineered to restore degraded CT projection data that arises from non-ideal ray sources. It accomplishes this by employing a multi-Gaussian convolutional
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Nondestructive detection and quantification of localized corrosion rates by electrochemical tomography NDT E Int. (IF 4.2) Pub Date : 2023-12-13 M.C. van Ede, A. Fichtner, U. Angst
Localized corrosion is one of the most common causes of early degradation of engineering structures. To non-destructively determine the location, size and rate of localized corrosion in porous media, a new technique, electrochemical tomography (ECT), has been theoretically and numerically formulated. The current work shows the application of ECT to measure corrosion rates in a controlled laboratory
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Designed multifunctional sensor to monitor resin permeation and thickness variation in liquid composite molding process NDT E Int. (IF 4.2) Pub Date : 2023-12-16 Fengjia Zhang, Haochang Guo, Haokun Lin, Xiongqi Peng, Helezi Zhou, Cheng Chen, Zhigao Huang, Guangming Tao, Huamin Zhou
Process monitoring of resin permeation in fiber preform and fabric thickness variation in liquid composite molding (LCM) is important to ensure the quality of the composite parts. However, existing technologies cannot monitor both of them by a single sensor and may disrupt resin flow patterns or fiber deformation inside the part due to their large thickness or rigidity. To achieve accurate monitoring
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A simple conductivity measurement method using a peak-frequency feature of ferrite-cored eddy current sensor NDT E Int. (IF 4.2) Pub Date : 2023-12-16 Huidong Ma, Dong Wang, Zhijie Zhang, Wuliang Yin, Haoze Chen, Guangyu Zhou
Eddy current sensing (ECS) is advantageous in metallic measurements, but the existing ECS-based conductivity measurement methods are limited in terms of complexity, accuracy, or measurement range. Based on a peak-frequency feature of sweep-frequency eddy current sensor, a conductivity measurement method for non-magnetic plates is proposed. Deriving from the analytic solution of Dodd-Deeds, it is found
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Rigid layer depth setting method based on the uniformity of the backcalculated subgrade modulus NDT E Int. (IF 4.2) Pub Date : 2023-12-14 Yue Hu, Guoshuai Zang, Lijun Sun
Modulus backcalculation using falling weight deflectomer (FWD) non-destructive testing data is an important technique for evaluating the structural bearing capacity of pavements. During the backcalculation process, the rigid layer setting depth has a great influence on the results. Hence, the rigid layer depth should be accurately set. In this study, a new rigid layer depth setting model was established
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Defect detection in the presence of geometrical artefacts NDT E Int. (IF 4.2) Pub Date : 2023-12-09 Matthew G. Chandler, Anthony J. Croxford, Paul D. Wilcox
Defect detection in non-destructive testing relies on the ability to detect signals arising from defects and distinguish them from those arising from noise. Ultrasonic arrays are capable of producing multiple views of a component through combinations of mode conversions and reflections of waves from boundaries, which potentially contain additional information about defects. Noise in these views can
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Research on magnetic memory inspection signal characteristics of multi-parameter coupling pipeline welds NDT E Int. (IF 4.2) Pub Date : 2023-12-13 Bin Liu, Fu chuan Wang, Zi han Wu, Zheng Lian, Lu yao He, Li jian Yang, Ren feng Tian, Hao Geng, Ye Tian
Magnetic memory inspection technology is an effective method for detecting early damage in ferromagnetic materials. However, the commonly used force-magnetic coupling models are insufficient for analyzing the distribution characteristics of magnetic signals in ferromagnetic material welds. This study first analyzes the influence of metal phase transformation and residual stress on the magnetic hysteresis
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Ultrasonic inspection of sludge accumulated in plastic pipes using meta-slab mode-converting wedge transducers NDT E Int. (IF 4.2) Pub Date : 2023-12-12 Chunguang Piao, Jeseung Lee, Sung Hyun Kim, Yoon Young Kim
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Nondestructive dielectric measurement method for orientation distribution of liquid crystal polymers film NDT E Int. (IF 4.2) Pub Date : 2023-12-04 Guancheng Shen, Junyu Hu, Jiacheng He, Longhui Li, Mengyuan Zhou, Fengjia Zhang, Wen Zhang, Maoyuan Li, Bijin Xiong, Huamin Zhou, Yun Zhang
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Ultra-wideband microwave leakage monitoring for stringer debonding detection in carbon composite fuselage structures NDT E Int. (IF 4.2) Pub Date : 2023-12-09 Vittorio Memmolo, Jochen Moll, Maria Moix Bonet, Daniel Schmidt, Viktor Krozer
Ultra-wideband guided electromagnetic waves have been proposed recently for non-destructive testing and structural health monitoring applications. However, many possibilities are still unexplored given by the multitude of possible microwave waveguides. The present work introduces the concept of microwave leakage monitoring to detect stringer debondings in hollow carbon composite structures. The principle
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Determination of the softening point and temperature interval of asphalt mixture for the healing process based on the contactless nonlinear ultrasonic method NDT E Int. (IF 4.2) Pub Date : 2023-12-07 Long Li, Jun Chen
The softening point and gradient healing have significant engineering significance for the self-healing of asphalt mixtures. This study introduces a novel approach utilizing a contactless ultrasonic system in conjunction with the Second Harmonic Generation (SHG) technique to determine the softening point and monitor the gradient healing process of asphalt mixtures. Three distinct fracture patterns