Journal of Nondestructive Evaluation最新文献_第10页

Nondestructive Evaluation of the Ductile to Brittle Transition Temperature Based on Magnetic Domain Wall Dynamics and Dislocation Dynamics 基于磁畴壁动力学和位错动力学的韧脆转变温度无损评价

IF 2.4 3区材料科学

Journal of Nondestructive Evaluation Pub Date : 2025-06-02 DOI: 10.1007/s10921-025-01198-6

Ji-Pei Chen, Tao Zhang, Tie-Long Shen, Xiang-Bing Liu

{"title":"Nondestructive Evaluation of the Ductile to Brittle Transition Temperature Based on Magnetic Domain Wall Dynamics and Dislocation Dynamics","authors":"Ji-Pei Chen, Tao Zhang, Tie-Long Shen, Xiang-Bing Liu","doi":"10.1007/s10921-025-01198-6","DOIUrl":"10.1007/s10921-025-01198-6","url":null,"abstract":"<div><p>There has been an increasing interest in development of nondestructive evaluation (NDE) methods to detect the irradiation embrittlement of key components in nuclear reactor. In this paper, a NDE method was developed by testing the temperature (<i>T</i>) dependence of magnetization (<i>M</i>) and damping factor (tan δ) in three different alloys steels. The experimental results show a characteristic temperature in <i>M</i>-<i>T</i> curve and tan δ<i>-T</i> curve, respectively, which coincides well with the ductile–brittle transition temperature (DBTT) measured by Charpy impact test. In <i>M</i>-<i>T</i> curve, the phenomenon is closely related to magnetic domain wall (DW) motion state in the ductile and brittle regions, which is reflected by the motion of dislocations. To explain these observations, a simple model of magnetic DW state in the nanowire with a single defect was built and studied by employing micromagnetic simulation. Simulated results revealed the thermally activated DW depinning and displacement, which can be well characterized by <i>T</i>-dependent magnetization. Furthermore, an analytical model of stochastic dynamical DW was proposed to interpret the <i>T</i>-dependent displacements and magnetization of DW, with some formulae derived for these dependences in an analytical approach. The analytical results show consistence with the simulated data, suggesting that thermally activated DW depinning and motion is responsible for the temperature dependence of magnetization in martensitic steels. The present work is instructive to understand the underlying correlation between embrittlement and thermal dynamics of DW in martensitic steels, and also provides a promising NDE technique to estimate DBTT by tracking the temperature dependence of DW motion and magnetization.</p></div>","PeriodicalId":655,"journal":{"name":"Journal of Nondestructive Evaluation","volume":"44 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating the Reliability of Carbon-Fiber Composite Through Applying a Tree-Based-Ensemble Method to Analyze Acoustic-Emission Signals 用基于树的集成方法分析声发射信号评估碳纤维复合材料可靠性

IF 2.4 3区材料科学

Journal of Nondestructive Evaluation Pub Date : 2025-06-02 DOI: 10.1007/s10921-025-01209-6

Selma Tchoketch-Kebir, Redouane Drai, Nawal Cheggaga, Nihed-Souhila Alloui, Chems-Eddine-Haithem Taia, Walid Bouali, Ahmed Kechida

{"title":"Evaluating the Reliability of Carbon-Fiber Composite Through Applying a Tree-Based-Ensemble Method to Analyze Acoustic-Emission Signals","authors":"Selma Tchoketch-Kebir, Redouane Drai, Nawal Cheggaga, Nihed-Souhila Alloui, Chems-Eddine-Haithem Taia, Walid Bouali, Ahmed Kechida","doi":"10.1007/s10921-025-01209-6","DOIUrl":"10.1007/s10921-025-01209-6","url":null,"abstract":"<div><p>This paper outlines the creation of a non-destructive testing (NDT) technique that incorporates advanced machine learning (ML) methodologies to enhance damage detection and diagnosis capabilities in various industrial sectors. The selected NDT approach for identifying damage in composite structures is based on acoustic emission (AE) principles. The diagnosis process involves the analysis of acoustic signals obtained through a rigorous experimental procedure. A tree-based-ensemble technique, rooted in ML methods, was employed to process the acquired acoustic dataset. The application of this tree-based-ensemble technique in the diagnosis of composite structures consists of two critical steps. The first step entails the collection of an experimental dataset that provides a comprehensive AE-based dataset for a specific composite structure sample, particularly one composed of carbon fiber (CF) composite. The second step includes the signal processing of the collected dataset utilizing the tree-based-ensemble technique. The results generated from this ensemble-based approach demonstrated significant performance when compared to the diagnosis outcomes produced by the Vallen-AE suite software for data acquisition. Besides, it outperforms other ML-based methods in terms of many metrics evaluated. This developed methodology offers innovative and effective solutions for quality inspection across various industrial applications, achieving an accuracy rate exceeding 96%.</p></div>","PeriodicalId":655,"journal":{"name":"Journal of Nondestructive Evaluation","volume":"44 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Surface Defect Detection of Ultrathin Fiberboard Based on Improved YOLOv8x 基于改进YOLOv8x的超薄纤维板表面缺陷检测

IF 2.4 3区材料科学

Journal of Nondestructive Evaluation Pub Date : 2025-05-29 DOI: 10.1007/s10921-025-01196-8

Yang Long, Wenshu Lin

{"title":"Surface Defect Detection of Ultrathin Fiberboard Based on Improved YOLOv8x","authors":"Yang Long, Wenshu Lin","doi":"10.1007/s10921-025-01196-8","DOIUrl":"10.1007/s10921-025-01196-8","url":null,"abstract":"<div><p>Due to significant variations in scale and the predominance of which are small-scale surface defects in Ultrathin Fiberboard (UTFB), manual visual detection remains the primary detection method. However, the efficiency and accuracy of manual visual detection are insufficient to meet the demands of modern UTFB production. Therefore, an improved YOLOv8x algorithm for efficient and high-precision detection of surface defects in UTFB was proposed in this study. Firstly, surface defect images of UTFB were collected from an actual production line and augmented to construct a comprehensive dataset. Then, using YOLOv8x as the baseline model, EfficientNet-ViT (EfficientNet-Vision Transformer) was introduced as the backbone network to achieve efficient feature extraction and improve the accuracy of object detection through improved self-attention mechanism and efficient Transformer architecture. Furthermore, the CIB (Compact Inverted Block) structure was utilized to optimize the C2f module, improving computational efficiency through efficient convolutional operations. Lastly, the WIoU loss function was introduced, with its dynamic focusing mechanism and improved gradient allocation strategy contributing to the detection of small-scale and multi-scale defects. Experimental results show that compared to the baseline YOLOv8x model, the improved YOLOv8x-ECW (YOLOv8x-EfficientNet-ViT-C2fCIB-WIoU) model achieved a 4.4% increase inmAP@0.5. The number of model parameters and floating-point operations (GFLOPS) were reduced by 61.1% and 62.7%, respectively, with a detection frame rate of 48.3 frames per second. The proposed YOLOv8x-ECW model can achieve efficient and accurate detection of surface defects in UTFB, providing technical support for online quality inspection of related wood products.</p></div>","PeriodicalId":655,"journal":{"name":"Journal of Nondestructive Evaluation","volume":"44 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145170527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Feasibility Study of Radiographic Rail Inspections Using a Compact X-ray Tube 使用小型x射线管进行铁路射线照相检查的可行性研究

IF 2.6 3区材料科学

Journal of Nondestructive Evaluation Pub Date : 2025-05-25 DOI: 10.1007/s10921-025-01193-x

Z. Chmieliński, J. Klimaszewski, T. Kosiński, D. Kowalczyk, M. Matusiak, J. Rzadkiewicz, S. Wronka, T. Zakrzewski

引用次数: 0

Practical Pose Estimation Method for Industrial X-ray Radiography Based on Deep Neural Network and Local Template Matching 基于深度神经网络和局部模板匹配的工业x射线成像实用位姿估计方法

IF 2.6 3区材料科学

Journal of Nondestructive Evaluation Pub Date : 2025-05-15 DOI: 10.1007/s10921-025-01191-z

Dongsheng Ou, Yongshun Xiao

{"title":"Practical Pose Estimation Method for Industrial X-ray Radiography Based on Deep Neural Network and Local Template Matching","authors":"Dongsheng Ou, Yongshun Xiao","doi":"10.1007/s10921-025-01191-z","DOIUrl":"10.1007/s10921-025-01191-z","url":null,"abstract":"<div><p>With the increasing integration of industrial products, critical components are increasingly being encapsulated within sealed enclosures, making it difficult to measure their actual positions during assembly using contact measurement techniques, often leading to substandard product quality. X-ray imaging provides a non-destructive solution for inspecting internal structures and accurately positioning internal components. However, traditional pose estimation methods based on X-ray imaging rely on projection optimization, which is time-consuming and cannot meet the timely feedback requirements of assembly processes. In this study, we propose a hybrid pose estimation method for industrial X-ray radiography that combines neural networks for initial pose estimation with local template matching for pose refinement. This approach achieves both high accuracy and efficiency in positioning internal targets. We conducted real X-ray imaging experiments on several objects, including a terahertz anode tube model. The mean alignment error was approximately 0.2 mm, lower than the spatial resolution (about 0.25 mm) of the CT images constructed from the same X-ray projections. The computation time for pose estimation of a single object was about 10 s, significantly faster than conventional methods that typically requiring several minutes, making it suitable for timely feedback in industrial assembly processes.</p></div>","PeriodicalId":655,"journal":{"name":"Journal of Nondestructive Evaluation","volume":"44 2","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Continuation Approach Combined with Semi-Analytical Finite-Element Method for Solving Guided-Wave Dispersion Equation 结合半解析有限元法求解导波色散方程的延拓法

IF 2.6 3区材料科学

Journal of Nondestructive Evaluation Pub Date : 2025-05-10 DOI: 10.1007/s10921-025-01194-w

Taizo Maruyama, Kazuyuki Nakahata

引用次数: 0

Unsupervised Stitching Method for Blisk DR Images with Dual-Energy X-Ray Radiography 双能x射线Blisk DR图像的无监督拼接方法

IF 2.6 3区材料科学

Journal of Nondestructive Evaluation Pub Date : 2025-05-09 DOI: 10.1007/s10921-025-01177-x

Chao Hai, Mianlong Li, Hong Zhang, Zhaoguang Ma, Min Yang

{"title":"Unsupervised Stitching Method for Blisk DR Images with Dual-Energy X-Ray Radiography","authors":"Chao Hai, Mianlong Li, Hong Zhang, Zhaoguang Ma, Min Yang","doi":"10.1007/s10921-025-01177-x","DOIUrl":"10.1007/s10921-025-01177-x","url":null,"abstract":"<div><p>Traditional image stitching methods rely heavily on the quality of feature matching. However, the blisk Digital Radiography (DR) images tend to exhibit low contrast and repetitive textures, which can frequently cause incorrect alignment during the stitching process. Consequently, this often leads to the appearance of artifacts and distortions in the stitched image. In this paper, we propose an unsupervised image stitching method specifically designed for blisk using dual-energy radiography. Firstly, we adopt a multi-scale enhancement process to enhance image contrast and improve detail clarity in the original images. Secondly, we introduce an unsupervised image stitching method consisting of a coarse alignment module, an image reconstruction module, and a multi-energy image fusion module. The unsupervised coarse registration module automatically learns image features and achieves initial coarse alignment through homography transformation. The unsupervised image reconstruction module learns spatial transformations and deformation patterns of the images, resulting in the reconstruction of pixel-level features in the stitched image and minimizing stitching artifacts. Finally, a dual-energy image fusion module based on Nonsubsampled Contourlet Transform (NSCT) is employed to fuse the stitched images, resulting in globally, high-resolution blisk DR images. Through subjective visual evaluations and quantitative metric analysis, our method demonstrates optimal stitching results on both simulated and real datasets. Our approach effectively preserves image details and structures while minimizing stitching seams, thereby achieving a high-resolution, artifact-free stitching result.</p></div>","PeriodicalId":655,"journal":{"name":"Journal of Nondestructive Evaluation","volume":"44 2","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SWRD: A Dataset of Radiographic Image of Seam Weld for Defect Detection 用于焊缝缺陷检测的射线图像数据集

IF 2.6 3区材料科学

Journal of Nondestructive Evaluation Pub Date : 2025-05-07 DOI: 10.1007/s10921-025-01186-w

Xuefeng Zhao, Juntao Wu, Baoxin Zhang, Haoyu Wen, Xiaopeng Wang, Yan Li, Xinghua Yu

引用次数: 0

A Review of Ultrasonic Testing and Evaluation Methods with Applications in Civil NDT/E 超声检测与评价方法及其在民用无损检测中的应用综述

IF 2.6 3区材料科学

Journal of Nondestructive Evaluation Pub Date : 2025-05-07 DOI: 10.1007/s10921-025-01190-0

Inad Alqurashi, Ninel Alver, Ulas Bagci, Fikret Necati Catbas

{"title":"A Review of Ultrasonic Testing and Evaluation Methods with Applications in Civil NDT/E","authors":"Inad Alqurashi, Ninel Alver, Ulas Bagci, Fikret Necati Catbas","doi":"10.1007/s10921-025-01190-0","DOIUrl":"10.1007/s10921-025-01190-0","url":null,"abstract":"<div><p>New construction or existing structures are tested for material quality as well as damage and defects during their life cycle. Advancements in data science and sensor technologies have significantly improved Non-Destructive Testing (NDT) for monitoring the health of civil structures. This review covers 82 recent studies on ultrasonic testing (UT) methods used in civil NDT/E. It explains basic ultrasound principles, new developments in signal and image processing, and evaluates key imaging techniques like Synthetic Aperture Focusing Technique (SAFT), Total Focusing Method (TFM), and Computed Tomography (CT) for identifying defects and assessing materials. The review also discusses the use of advanced signal processing methods to better characterize defects and enhance image quality. Emerging trends include the use of machine learning for automatically identifying defects, new sensor technologies for real-time monitoring, and integrated monitoring systems using Internet of Things (IoT) and edge computing. Applications in material evaluation and testing structural components such as bridges and buildings are also examined. The review highlights challenges like handling large amounts of data, ensuring efficient computations, and creating standardized testing protocols. Future research directions aim to make UT methods more accurate, reliable, and scalable, contributing to the safety and durability of civil infrastructure. This review provides valuable information for researchers, engineers, and industry professionals on the latest developments, current challenges, and future opportunities in ultrasonic-based civil infrastructure NDT/E.</p></div>","PeriodicalId":655,"journal":{"name":"Journal of Nondestructive Evaluation","volume":"44 2","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental Evaluation on Acoustic Emission Wave Propagation of Laminated Composites with Cutouts Using Auto Sensor Testing 基于自动传感器测试的带切口层合复合材料声发射波传播实验评价

IF 2.6 3区材料科学

Journal of Nondestructive Evaluation Pub Date : 2025-05-07 DOI: 10.1007/s10921-025-01192-y

Binayak Bhandari, Gangadhara B. Prusty

{"title":"Experimental Evaluation on Acoustic Emission Wave Propagation of Laminated Composites with Cutouts Using Auto Sensor Testing","authors":"Binayak Bhandari, Gangadhara B. Prusty","doi":"10.1007/s10921-025-01192-y","DOIUrl":"10.1007/s10921-025-01192-y","url":null,"abstract":"<div><p>This study investigates Acoustic Emission (AE) wave propagation in large cantilever composite panels using experimental and numerical analysis. Five distinct case studies, considering two distinct scenarios—panels with and without cutouts—were investigated under various boundary conditions and excitations. The boundary conditions and support deviate from prevailing AE studies on flat panels supported by simply supported structures to focus on cantilever support that resembles aeroplane wings. A comparative study on the effectiveness of the Hanning Window Function, Sine, and square wave functions in characterizing wave propagation within laminated composite structures was investigated. Variations of the Hanning window function at frequencies of 100 kHz, 400 kHz, and 55 kHz are examined to assess their impact on stress wave time-of-arrival. Through experimental endeavours and three-dimensional (3D) numerical models, meticulous analyses on stress wave propagation time-of-arrival, frequencies, and excitation waveform were performed. Experiments were conducted using the Auto Sensor Testing (AST) feature for its superior repeatability and data acquisition over conventional methods such as pencil-break and impulse hammer tests. Results from Case I (without cutout) and Case III (with cutout) show that the wave propagation time from trigger sensor 1 to sensor 3 was 78.5 µs for the panel without a cutout and 125.5 µs for the panel with a cutout. This significant time discrepancy underscores the impact of boundary conditions and excitation waveforms on wave propagation in panels with and without cutouts. Comparative analysis affirms specific excitation waveform and frequency suitability, aligning numerical results with experimental observations, thereby substantiating the reliability and accuracy of the proposed numerical methodology.</p></div>","PeriodicalId":655,"journal":{"name":"Journal of Nondestructive Evaluation","volume":"44 2","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10921-025-01192-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0