Ndt & E International最新文献

{"title":"Analysis of the detective quantum efficiency of a dual-energy photon-counting X-ray detector","authors":"Junho Lee ,&nbsp;Seungjun Yoo ,&nbsp;Seokwon Oh ,&nbsp;Seongbon Park ,&nbsp;Chang Hwy Lim ,&nbsp;Jong Won Park ,&nbsp;Jesse Tanguay ,&nbsp;Ho Kyung Kim","doi":"10.1016/j.ndteint.2025.103397","DOIUrl":"10.1016/j.ndteint.2025.103397","url":null,"abstract":"<div><div>Photon-counting detectors (PCDs) are an emerging technology that provide energy-selective images for a single X-ray exposure. For studies considering PCDs for industrial non-destructive inspection, presenting a metric describing the imaging efficiency or performance of PCDs is important. In this study, we describe the imaging performance in terms of the detective quantum efficiency (DQE) and report the results of the DQE analysis for a sample PCD using a representative X-ray spectrum (70 kV and 21-mm Al filtration). The PCD, a mosaic of eight small detector modules, employs two adjustable energy thresholds and possesses a function called an anti-coincidence (AC) operation, which sums charges spread over four pixels into a pixel exhibiting the highest charge signal. The DQE measurements confirmed that, without correction for the signal and noise correlation between the energy bins, the DQE could be incorrectly overestimated. The AC or charge-summing operation effectively suppressed the signal and noise correlations between the energy bins, enhanced the modulation-transfer functions and removed the cross-noise-power spectra (cross-NPSs) but increased the normalized NPSs in each energy-bin image, degrading the resulting DQE performance. The performance gap between the measured DQE and theoretical models is discussed. The DQE forms and analysis methodologies presented in this paper will be helpful for researchers seeking to understand PCD-based imaging systems.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"155 ","pages":"Article 103397"},"PeriodicalIF":4.1,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On-line evaluation of yield strength in thin-walled specimens using laser ultrasonic technology","authors":"Junrong Li,&nbsp;Jiajian Meng,&nbsp;Jianhai Zhang,&nbsp;Yong Hu","doi":"10.1016/j.ndteint.2025.103405","DOIUrl":"10.1016/j.ndteint.2025.103405","url":null,"abstract":"<div><div>To prevent yield failure of thin-walled parts, an accurate on-line detection method is crucial. In this study, a laser ultrasonic technology (LUT) was proposed to inspect the acoustic behaviour of AISI type 304 stainless steel under tensile stress across time and frequency domain analysis. The specific acoustic parameters of LUT, including trough arrival time, trough amplitude difference, singular value decomposition entropy (SVDE), peak frequency, bandwidth, and energy distribution, exhibited distinctive characteristics at certain stress levels. Compared with traditional tensile tests, the yield strength determined by laser ultrasonic technology closely matched that obtained using the 0.5 % extension-under-load (EUL) method, with a slight difference of only 3.42 %. Additionally, through box plot analysis, the trough arrival time was confirmed as the optimal index for evaluating yield strength. These changes were further corroborated as corresponding to the yield stage through infrared thermal imaging technology. This research confirms that laser ultrasonic technology is an effective non-contact method for assessing yield strength, providing critical experimental and technical support for material analysis under operational conditions.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"155 ","pages":"Article 103405"},"PeriodicalIF":4.1,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ILF diagnosis for steel wire ropes based on physical information under uniform circular array","authors":"Leilei Yang ,&nbsp;Zhiliang Liu ,&nbsp;Siyu You ,&nbsp;Mingjian Zuo","doi":"10.1016/j.ndteint.2025.103403","DOIUrl":"10.1016/j.ndteint.2025.103403","url":null,"abstract":"<div><div>Internal local flaws (ILFs) are a principal cause of failure in steel wire ropes (SWRs), and accurately assessing their condition remains a significant challenge. In this article, a novel localization and quantification method based on physical information under a uniform circular array (UCA) is proposed. First, simulations and theoretical analyses are employed to investigate the diffusion pattern of the leakage magnetic field induced by ILFs and the corresponding signal distribution within the UCA. Additionally, a relationship between the spatial position of the ILFs and the physical model is established, enabling precise determination of its location in the SWR cross-section. Quantification of the ILFs is further achieved by applying the physical information obtained to a radial basis function (RBF) neural network. Results from simulations and experiments verify that the proposed method can effectively determine the location of ILFs, maintaining a localization error of less than 1 mm. Moreover, by integrating localization, it enhances quantification accuracy, achieving precision finer than 1 broken wire. The proposed method provides a novel perspective for ILF analysis, contributing to the enhanced safety and reliability of SWRs.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"155 ","pages":"Article 103403"},"PeriodicalIF":4.1,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143806846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative evaluation of fatigue cracks on compressor blades using laser ultrasonic technology under high-temperature conditions","authors":"Jiajian Meng ,&nbsp;Enpei Zhao ,&nbsp;Xianke Li ,&nbsp;Kunyi Liao ,&nbsp;Junrong Li ,&nbsp;Haomiao Fang ,&nbsp;Qiang Han ,&nbsp;Shuangwei Ma ,&nbsp;Hongwei Zhao ,&nbsp;Jianhai Zhang","doi":"10.1016/j.ndteint.2025.103402","DOIUrl":"10.1016/j.ndteint.2025.103402","url":null,"abstract":"<div><div>Turbine blades in aero-engine compressors are frequently exposed to high temperatures and harsh conditions, making them highly susceptible to surface fatigue cracks and even the risk of induced fracture. In this paper, an online monitoring and quantitative assessment method for fatigue cracks in turbine blades under high-temperature environments are developed, utilizing laser ultrasonic technology. It is crucial to recognize that the propagation characteristics of ultrasonic waves in turbine blades with variable curvature remain unclear. To investigate this, two-dimensional curved surface simulation models are constructed using finite element analysis to simulate the propagation of ultrasonic waves in turbine blades with surface cracks. Numerical simulations demonstrate that surface waves excited by pulsed laser sources propagate without significant hindrance in curved structures, showing notable sensitivity to both longitudinal and transverse crack expansions. Thus, the surface wave transmission method is proposed to evaluate crack characteristics. By leveraging the established laser ultrasonic detection system, transmitted surface waves through cracks of varying sizes are captured with high precision. The excellent consistency with finite element simulation results validates the accuracy of experimental measurements. Fitting functions are derived by integrating simulation computations and experimental results to quantitatively evaluate crack depths and widths at 25 °C. In particular, the quantitative assessment of crack sizes at 300 °C is addressed by incorporating high-temperature attenuation coefficient. In addition, laser ultrasonic technology is employed for online monitoring of fatigue evolution damage at 25 °C and 600 °C, validating the effectiveness of the surface wave transmission method. The proposed technology is essential for in-situ monitoring of surface fatigue damage in operational blades under high-temperature conditions.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"154 ","pages":"Article 103402"},"PeriodicalIF":4.1,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advanced detection and reconstruction of welding defects in irregular geometries using eddy current pulsed thermography","authors":"Dong Wang ,&nbsp;Qiuji Yi ,&nbsp;Yi Liu ,&nbsp;Rongsheng Lu ,&nbsp;Guiyun Tian","doi":"10.1016/j.ndteint.2025.103398","DOIUrl":"10.1016/j.ndteint.2025.103398","url":null,"abstract":"<div><div>The global pursuit of net-zero goals has accelerated the growth of solar energy, positioning photovoltaic (P.V.) systems at the forefront of renewable energy due to their efficient and sustainable electricity conversion. Detecting and classifying welding defects in P.V. systems—especially those with intricate surfaces and varying defect scales—is critical yet complex, as irregular geometries challenge traditional nondestructive testing (NDT) methods. To address this, we present an advanced framework integrating Graph Signal Processing (GSP) into Eddy Current Pulsed Thermography (ECPT). In this method, temporal thermographic sequences are mapped onto a graph topology, where nodes correspond to discrete time points and edges encode temporal dependencies through an adjacency matrix. The graph Laplacian operator, constructed based on the temporal adjacency relationships, is eigen-decomposed to project thermal response dynamics into the graph spectral domain. This transformation enables frequency-resolved analysis of time-evolving thermal waves, inherently isolating defect-induced transient signatures from steady-state thermal backgrounds. In our experimental study, Helmholtz coils generate a uniform current density combined with the novel framework, facilitating effective inspection of intricate surfaces by integrating 3D surface measurements with 3D thermography. Furthermore, we compare this method with other state-of-art algorithms. This multidimensional feature analysis framework robustly separates defect profiles from their backgrounds, addressing the unique challenges posed by the irregular geometries in P.V. systems.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"154 ","pages":"Article 103398"},"PeriodicalIF":4.1,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In situ nonlinear ultrasonic characterization of slip irreversibility and material hardening in stainless steel 316L","authors":"Changgong Kim,&nbsp;Hyelim Do,&nbsp;Kathryn H. Matlack","doi":"10.1016/j.ndteint.2025.103401","DOIUrl":"10.1016/j.ndteint.2025.103401","url":null,"abstract":"<div><div>This work uses in situ nonlinear ultrasound measurements to study the relationship between the acoustic nonlinearity parameter <em>β</em> and the low cycle fatigue behavior of stainless steel 316L. The measured <em>β</em> shows a rapid decrease during hardening followed by a transition to a slower decrease in <em>β</em> as a function of fatigue cycles. Measurements show this trend is consistent at two different strain amplitudes. By comparing our results with prior work on dislocation characterizations in the same material, we hypothesize that the transition in slopes of <em>β</em> coincides with the planar-to-wavy transition that occurs at the end of hardening. Further, measurement results show that the parameter <em>Δβ</em>_<em>t-c</em>, the difference between <em>β</em> measured after the tension and compression portions of the fatigue cycle, depends on strain amplitude. The dependence of <em>Δβ</em>_<em>t-c</em> on strain amplitude is related to fatigue life through a power law relationship, similar to slip irreversibility. Overall, the results provided in this work suggest that <em>β</em> correlates with characteristics of low cycle fatigue, and thus supports the idea that in situ NLU measurements can eventually be used as a quantitative measure to predict fatigue life.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"154 ","pages":"Article 103401"},"PeriodicalIF":4.1,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143737842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibilty of hyperspectral sensing for detection of early stages of corrosion in sturcutral steel","authors":"Amrita Das,&nbsp;Sattar Dorafshan","doi":"10.1016/j.ndteint.2025.103399","DOIUrl":"10.1016/j.ndteint.2025.103399","url":null,"abstract":"<div><div>The estimated global cost of steel atmospheric corrosion is 3–4 % of the Gross Domestic Product, despite decades of corrosion mitigation practice. Steel, widely used for infrastructure construction, is composed primarily of iron and therefore is extremely vulnerable to atmospheric corrosion. The free iron atoms are highly reactive with water and oxygen molecules abundantly found in the atmosphere. Noncontact sensing for corrosion detectiojn is limited to corrosion with visual manifestation. In this study, diffuse spectroscopy is investigated for the feasibility of corrosion detection before visual manifestation. A36 steel samples were exposed to a corrosive alkaline medium with increasing exposure time. The sample's reflectance spectra were collected in the visual near-infrared (VNIR) and near-infrared (NIR) ranges. The existence of early corrosion products in visual sound samples was verified using X-ray diffraction. Results indicated the presence of corrosion at 600–710 nm in VNIR with a maximum of 97 % change with respect to the uncorroded samples. Hyperspectral images at around 700 nm were analyzed, confirming the presence of corrosion at an incremental rate (2.71–12 %) as exposure increased.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"154 ","pages":"Article 103399"},"PeriodicalIF":4.1,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An EMPECT-based defect localization method for multilayered structures using high-order statistical analysis and high-frequency component separation strategy","authors":"Shuyan Yang ,&nbsp;Jizhou Zhang ,&nbsp;Siwei Fan ,&nbsp;Guohang Lu ,&nbsp;Shunping Yan ,&nbsp;Zhigeng Fan ,&nbsp;Qiang Wan ,&nbsp;Shuxin Zhang ,&nbsp;Lifeng Li ,&nbsp;Zhenmao Chen ,&nbsp;Shejuan Xie","doi":"10.1016/j.ndteint.2025.103394","DOIUrl":"10.1016/j.ndteint.2025.103394","url":null,"abstract":"<div><div>The multilayered metallic structures are widely used in industrial fields. For these structures, the internal corrosion defects happening in the process of manufacture and service may seriously affect the availability and safety of the structure and even the whole equipment. In this study, to achieve the effective detection and localization of the internal corrosion defects distributed in different layers, based on energy-management pulsed eddy current testing method, a novel high-order signal feature and a new defect localization method on the basis of high-frequency component separation are proposed. The superiority of the novel high-order signal feature is verified through numerical simulation and experiments. Compared with traditional signal feature, the novel high-order signal feature is able to detect smaller-sized defects and has higher signal-to-noise ratio. The validation of the new defect localization method is proved by experiments. The macro accuracy of the proposed localization method is 91.67 % and this method is still effective for the defect with stepped depth.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"154 ","pages":"Article 103394"},"PeriodicalIF":4.1,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrosion detection from IR thermal images in signed cumulative distribution transform domain","authors":"Jesse S. Morgan ,&nbsp;Abu Hasnat Mohammad Rubaiyat ,&nbsp;K. Peter Judd ,&nbsp;Duy H. Thai ,&nbsp;James Tagert ,&nbsp;Gustavo K. Rohde","doi":"10.1016/j.ndteint.2025.103390","DOIUrl":"10.1016/j.ndteint.2025.103390","url":null,"abstract":"<div><div>This study introduces a novel approach to detect corrosive defects on metal substrates using infrared (IR) thermal images. Among numerous non-destructive techniques, infrared thermography (IRT) is notable for its effectiveness in identifying invisible surface and subsurface corrosion in materials. Existing methods for corrosion detection from IRT images lack the connection to the physical processes governing the emission of heat by defective areas. This paper proposes a transport-based mathematical model to describe the difference in heat-flow characteristics between the non-corroded and corroded material regions. A novel detection technique is then devised, utilizing the signed cumulative distribution transform (SCDT) and a subspace classifier to classify 1D thermal signals derived from IRT image sequences. Experiments demonstrate that the proposed approach is capable of detecting corrosive regions on metal substrates with high accuracy while being data efficient with respect to a number of machine learning-based detection methods.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"154 ","pages":"Article 103390"},"PeriodicalIF":4.1,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of planar NDE methods for damage in open hole carbon fibre laminates","authors":"Ollie Helps ,&nbsp;Paul Fromme ,&nbsp;Adam Doherty ,&nbsp;Christopher Thornton ,&nbsp;Alan L. Clarke ,&nbsp;Philip J. Withers ,&nbsp;Neha Chandarana","doi":"10.1016/j.ndteint.2025.103393","DOIUrl":"10.1016/j.ndteint.2025.103393","url":null,"abstract":"<div><div>This study evaluates the sensitivity of non-destructive imaging methods to characterise in-plane (delaminations) and out-of-plane (matrix cracking/splitting) damage in open-hole carbon fibre reinforced polymer (CFRP) angle-ply specimens as a function of tensile loading to 86% and 97% of the ultimate tensile stress (UTS). Ultrasound, X-ray radiography (with and without contrast agent), and X-ray phase contrast imaging (XPCi) are compared against X-ray computed tomography (XCT). XPCi shows good sensitivity to out-of-plane (transverse) matrix cracks without the need for a contrast agent but has limited ability to assess in-plane delaminations. Conversely, ultrasonic C-scan demonstrated good accuracy for the quantification and depth estimation of in-plane delaminations, being comparable to segmented XCT data. A combination of ultrasound and XPCi could potentially allow planar NDE of delamination and matrix cracking without the access, throughput, and size limitations inherent in computed tomography or the need for invasive and expensive contrast agents required for radiographic imaging.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"154 ","pages":"Article 103393"},"PeriodicalIF":4.1,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}