Measurement最新文献_第4页

Defect prediction of localized regions in laser powder bed fusion based on multi-layer photodiode image fusion

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-26 DOI: 10.1016/j.measurement.2025.117413

Zhiyong Zou , Kai Zhang , Rong Chen , Tingting Liu , Jiansen Li , Wenhe Liao

{"title":"Defect prediction of localized regions in laser powder bed fusion based on multi-layer photodiode image fusion","authors":"Zhiyong Zou , Kai Zhang , Rong Chen , Tingting Liu , Jiansen Li , Wenhe Liao","doi":"10.1016/j.measurement.2025.117413","DOIUrl":"10.1016/j.measurement.2025.117413","url":null,"abstract":"<div><div>Prediction and control of porosity in laser powder bed fusion has been a longstanding objective among researchers. This study proposes a novel framework for classifying the localized porosity in the current layer by fusing the multi-layer sensing information based on the cross-layer characteristics and law of porosity defects in the LPBF process. The framework involves the data pre-processing workflow and the Resnet-34 classifier architecture. The pre-processing workflow consists of converting the 1D photodiode signals into 2D images using a signal-to-image strategy, followed by the segmentation of these images into a series of clusters. These clusters are registered according to the porosity level measured by the CT images. Finally, the fused data features containing image information from multiple layers are invoked as input for the Resnet-34 classifier. The results showed that some of porosity defects exist within only one deposited layer, whereas most of porosity defects span multiple layers along the building direction. The multi-layer data fusion method achieves an accuracy of 91.3 % and an f1-Score of 91.5 % for predicting localized porosity with a cluster dimension of 800 μm <span><math><mrow><mo>×</mo></mrow></math></span> 800 μm. Moreover, this paper demonstrates the effect of pre-processing parameters (e.g. cluster dimensions) on model performance and reveals that the performance scores are susceptible to the cluster dimensions. The method for predicting localized porosity in the current layer based on multi-layer data fusion effectively reduces the false positive rate compared with the single layer-based method.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"252 ","pages":"Article 117413"},"PeriodicalIF":5.2,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characterization of metal grain size using broadband laser ultrasonic technology

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-26 DOI: 10.1016/j.measurement.2025.117371

Kangning Jia , Liyue Xu , Gaorui Chen , Li Fan , Xiaodong Xu , Shuyi Zhang , Anmin Yin , Peilong Yuan , Xiaochun Gu , Rui Zuo , Hao Yang , XueJun Yan

{"title":"Characterization of metal grain size using broadband laser ultrasonic technology","authors":"Kangning Jia , Liyue Xu , Gaorui Chen , Li Fan , Xiaodong Xu , Shuyi Zhang , Anmin Yin , Peilong Yuan , Xiaochun Gu , Rui Zuo , Hao Yang , XueJun Yan","doi":"10.1016/j.measurement.2025.117371","DOIUrl":"10.1016/j.measurement.2025.117371","url":null,"abstract":"<div><div>The effect of grain microstructure on the macroscopic mechanical properties of metallic materials highlights the importance of microstructural characterization, especially the grain size and the grain size distribution. The traditional methods for grain size measurement include scanning electron microscope (SEM) and electron backscattered diffraction (EBSD) tests, etc., which can provide high measurement accuracy. However, these methods require destructive sample preparation and time-consuming offline detection. In this research, an inspection method for the characterization of metallic material grain properties using laser ultrasonic (LU) technology is proposed to solve such problems. Firstly, an analytical model combining the iteration algorithm and the log-normal grain size distribution in the broadband frequency domain is built. Secondly, based on the LU detection system, the ultrasonic propagation characteristics are analyzed with slope characterization method, and the grain size distribution is calculated inversely by fitting the experimental results with the theoretical model. Finally, the average grain size and distribution deviation of 316L stainless steel obtained by the LU method are compared with the EBSD results. The measurement error of the average grain size with the LU method is within 6 %, which indicates the reliability of this research and shows that the LU detection method has the potential for non-destructive and efficient in-situ detection of metallic grain size.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"252 ","pages":"Article 117371"},"PeriodicalIF":5.2,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A high-sensitivity four-layer capacitively coupled electrical impedance tomography sensor for brain stroke monitoring

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-26 DOI: 10.1016/j.measurement.2025.117385

Weiming Li , Maomao Zhang , Yanyan Shi , Yandan Jiang , Manuchehr Soleimani , Haifeng Ji , Baoliang Wang

{"title":"A high-sensitivity four-layer capacitively coupled electrical impedance tomography sensor for brain stroke monitoring","authors":"Weiming Li , Maomao Zhang , Yanyan Shi , Yandan Jiang , Manuchehr Soleimani , Haifeng Ji , Baoliang Wang","doi":"10.1016/j.measurement.2025.117385","DOIUrl":"10.1016/j.measurement.2025.117385","url":null,"abstract":"<div><div>This paper aims at the development of a novel capacitively coupled electrical impedance tomography (CCEIT) sensor for brain stroke monitoring. The proposed CCEIT sensor employs the capacitive coupling principle for contactless measurement and a focusing sensing approach to reduce the adverse effects of the scalp and skull on impedance measurement. The proposed CCEIT sensor is characterized by a distinctive four-layer configuration, including a focusing electrode layer (4 large electrodes) to direct the signal deeper into the region of interest and a detection electrode layer (24 small electrodes) to capture the directive intracranial impedance signal. Compared with the traditional EIT sensor, the proposed CCEIT sensor does not rely on electrode–skin contact. And compared with the traditional CCEIT sensor, the proposed CCEIT sensor is more sensitive to the in-depth stroke, and has significantly better imaging quality, reducing the maximum relative image error and the maximum location error by 45.7% and 31.2%, respectively. The results indicate the potential of the proposed CCEIT sensor in stroke imaging, offering a totally contactless, portable, and feasibly high-quality imaging device for early diagnosis and monitoring of cerebrovascular events.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"252 ","pages":"Article 117385"},"PeriodicalIF":5.2,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A practical tactile exploration with enhanced sampling for fast shape estimation

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-26 DOI: 10.1016/j.measurement.2025.117350

Feng Luan , Chengjin Wang , Zhipeng Wang , Jiguang Yue , Yanmin Zhou , Bin He

{"title":"A practical tactile exploration with enhanced sampling for fast shape estimation","authors":"Feng Luan , Chengjin Wang , Zhipeng Wang , Jiguang Yue , Yanmin Zhou , Bin He","doi":"10.1016/j.measurement.2025.117350","DOIUrl":"10.1016/j.measurement.2025.117350","url":null,"abstract":"<div><div>Automated measurement and three-dimensional reconstruction help robots to understand complex environments. In situations of darkness or smoke, tactile perception is pivotal. Here, we propose a tactile exploration method to estimate the shape of objects with Gaussian process implicit surfaces (GPIS), especially considering the sparsity and unevenness nature of tactile data. A data enhancement method is employed to improve the data integrity of tactile exploration for the implicit surface construction, which combines the external and internal position information of the object. In addition, a practical sampling strategy is constructed to improve the reconstruction efficiency limited by the nonuniform distribution of tactile data. This strategy considers the local data sparsity, shape uncertainty, local shape curvature, and exploration path cost for systematic and comprehensive data collection. Simulation and experiment results show that our method improves the model accuracy by 35.03% in the Hausdorff distance with the same sampling steps compared to other methods.</div><div>© 2017 Published by Elsevier.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"252 ","pages":"Article 117350"},"PeriodicalIF":5.2,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing gas turbine thrust estimation performance under varied uncertainties using a simplified comprehensive dataset

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-26 DOI: 10.1016/j.measurement.2025.117409

Haonan Wang , Hang Zhao , Wei Liu , Keyi Zhan , Ming Li , Zhiping Song

{"title":"Enhancing gas turbine thrust estimation performance under varied uncertainties using a simplified comprehensive dataset","authors":"Haonan Wang , Hang Zhao , Wei Liu , Keyi Zhan , Ming Li , Zhiping Song","doi":"10.1016/j.measurement.2025.117409","DOIUrl":"10.1016/j.measurement.2025.117409","url":null,"abstract":"<div><div>As the in-flight thrust of gas turbine engines (GTE) cannot be measured, research has focused on developing estimators that function as data-driven thrust sensors. Current studies do not adequately consider the impacts of uncertainty factors. Addressing this issue, this study proposes to develop thrust estimators using a simplified comprehensive dataset. The dataset is generated based on the categorization and quantification of uncertainty factors. The innovations include: 1) The mechanism of dataset construction is analyzed, and the physically comprehensive thrust dataset (PCTD) with fewer samples is generated; 2) The sample capture learning strategy (SCLS) is designed, which generates a streamlined training set for thrust estimation. Both approaches avoid excessive sample numbers, which lead to increased time and computational costs. Results show that thrust estimators developed by the PCTD outperforms those built using general datasets. The average and maximum relative error under simulated real conditions are only 0.0519% and 0.6494%. Moreover, using the SCLS improves accuracy across the full envelope, especially the maximum error, which is reduced by 47.6% on average.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"253 ","pages":"Article 117409"},"PeriodicalIF":5.2,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mechanistic investigation of weak magnetic internal detection for hydrogen-induced stress damage in pipelines at the atomic scale 原子尺度管道氢应力损伤弱磁内部检测机理研究

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-26 DOI: 10.1016/j.measurement.2025.117417

Bin Liu, Zi han Wu, Hui Yu, Zheng Lian, Lu yao He, Lijian Yang

{"title":"Mechanistic investigation of weak magnetic internal detection for hydrogen-induced stress damage in pipelines at the atomic scale","authors":"Bin Liu, Zi han Wu, Hui Yu, Zheng Lian, Lu yao He, Lijian Yang","doi":"10.1016/j.measurement.2025.117417","DOIUrl":"10.1016/j.measurement.2025.117417","url":null,"abstract":"<div><div>Localized hydrogen enrichment within pipeline materials under stress can readily induce the initiation and propagation of internal cracks, which constitutes a major cause of abrupt pipeline failure. Weak magnetic internal detection technology, recognized as an effective method for evaluating early damage in ferromagnetic materials, demonstrates considerable potential for identifying hydrogen-induced damage. This study aimed to explore the formation of hydrogen-induced damage by investigating its underlying mechanism. The critical stress required for atomic slip in the α-Fe-H system was analyzed utilizing the first-principle, and the correlation between stress and magnetization intensity at hydrogen-damaged sites was assessed using magnetoelastic effect. Based on magnetic charge theory, an analysis model for hydrogen adsorption-induced dislocation (AID) magnetic signal was developed. The model facilitated a multi-dimensional analysis of the mechanisms through which hydrogen intensified local stress concentration within the pipeline, leading to abnormal variations in magnetic signals. Relevant evaluation metrics were proposed to effectively characterize hydrogen-induced damage in the pipeline, and conducted systematic experimental verification. The results indicate that the energy barrier required to overcome hydrogen-induced damage varies under different influencing factors. The weak magnetic signal calculated using the AID magnetic signal model can effectively characterize hydrogen-induced damage. Compared to other vacancies, hydrogen located on the slip plane at FractionalXYZ (1.000, 0.500, 0.417) had the most significant impact on the weak magnetic signal, with the signal mean variation (<em>C<sub>average</sub></em>) of 74 %. Among different hydrogen concentrations, high hydrogen concentration exhibited to have a relatively higher impact on the magnetic signal, with an average (<em>D<sub>average</sub></em>) change rate of 65 %.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"252 ","pages":"Article 117417"},"PeriodicalIF":5.2,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143735167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DEPP: Automated detection of pavement patching and nonslip coatings

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-26 DOI: 10.1016/j.measurement.2025.117315

Son Dong Nguyen , Jeong Hoon Song , Van Phuc Tran , Thai Son Tran , Hyun Jong Lee

{"title":"DEPP: Automated detection of pavement patching and nonslip coatings","authors":"Son Dong Nguyen , Jeong Hoon Song , Van Phuc Tran , Thai Son Tran , Hyun Jong Lee","doi":"10.1016/j.measurement.2025.117315","DOIUrl":"10.1016/j.measurement.2025.117315","url":null,"abstract":"<div><div>Accurate detection of pavement patches and nonslip coatings is critical for effective maintenance but challenging due to varied road conditions and complex urban environments. This study introduces a novel Deep Learning (DL)-based Pavement Patching and Nonslip Detection Pipeline (DEPP) that integrates state-of-the-art models and a Rule-Based post-processing approach to enhance detection accuracy. Our proposed two-stage model, using ResNet-50 with Switchable Atrous Convolution and Cascade R-CNN, achieves <span><math><mrow><mi>A</mi><msub><mrow><mi>P</mi></mrow><mrow><mn>0</mn><mo>.</mo><mn>5</mn></mrow></msub></mrow></math></span> of 0.853 and <span><math><mrow><mi>A</mi><msub><mrow><mi>P</mi></mrow><mrow><mn>0</mn><mo>.</mo><mn>75</mn></mrow></msub></mrow></math></span> of 0.785. Validation of data from Seoul City and Busan shows promising results, with an average error rate of 3.1 percent for nonslip detection and 23.1 percent for patching detection. This demonstrates DEPP’s practical applicability for urban road maintenance. Our code is available at <span><span>https://github.com/sondong88/pavement-patch-and-nonslip-detection.git</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"252 ","pages":"Article 117315"},"PeriodicalIF":5.2,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel method for pothole detection based on incomplete point clouds

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-26 DOI: 10.1016/j.measurement.2025.117344

Junkui Zhong , Deyi Kong , Yuliang Wei , Yang Yang , Zhengguo Su

引用次数: 0

Dynamic embedded spatial–temporal graph construction via virtual nodes for helicopter transmission system fault diagnosis

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-26 DOI: 10.1016/j.measurement.2025.117401

Guowang Chen, Qian Tang, Jian Lan, Liu He, Kuangchi Sun

{"title":"Dynamic embedded spatial–temporal graph construction via virtual nodes for helicopter transmission system fault diagnosis","authors":"Guowang Chen, Qian Tang, Jian Lan, Liu He, Kuangchi Sun","doi":"10.1016/j.measurement.2025.117401","DOIUrl":"10.1016/j.measurement.2025.117401","url":null,"abstract":"<div><div>Fault diagnosis in helicopter transmission systems is crucial for ensuring the safety of machinery and personnel. However, the difficulties in obtaining high-quality fault samples in industrial settings and effectively extracting features from small samples result in failures in intelligent diagnostic models. To address these issues, we propose a novel dynamics-embedded spatial–temporal graph construction with virtual nodes for helicopter transmission system fault diagnosis. Hereinto, the high-precision dynamics model of helicopter transmission systems with shaft and housing flexibility in different health states is established. Specifically, a spatial–temporal graph construction method with virtual node representation is proposed, with nodes in the dynamics model as graph nodes. Furthermore, the connection strengths of nodes and time slices are captured adaptively using the temporal and spatial attention mechanism to extract high-dimensional features from small sample data efficiently. The effectiveness of the proposed data generation method is validated using a simulated test bench of helicopter transmission systems. Our proposed diagnostic method significantly outperforms other fault diagnosis methods with small samples by considering the data generated based on dynamics and feature extraction based on spatial–temporal graphs.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"252 ","pages":"Article 117401"},"PeriodicalIF":5.2,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143726036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of different methods for calculating elemental concentrations in tissue sections based on μ-XRF measurements

IF 5.2 2区工程技术

Measurement Pub Date : 2025-03-25 DOI: 10.1016/j.measurement.2025.117320

Patryk Stec , Paweł M. Wróbel , Agata Ziomber-Lisiak , Wiktoria Tokarczyk , Magdalena Szczerbowska-Boruchowska

引用次数: 0