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Studies in Applied Electromagnetics and Mechanics最新文献

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Characterization and Imaging of Localized Thickness Loss in GFRP with Ka-Band Microwave Open-Ended Waveguides ka波段微波开放式波导对玻璃钢局部厚度损失的表征和成像
Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200036
Jinhua Hu, Yong Li, Jia-cai Tan, Wenjia Li, Zhenmao Chen
{"title":"Characterization and Imaging of Localized Thickness Loss in GFRP with Ka-Band Microwave Open-Ended Waveguides","authors":"Jinhua Hu, Yong Li, Jia-cai Tan, Wenjia Li, Zhenmao Chen","doi":"10.3233/saem200036","DOIUrl":"https://doi.org/10.3233/saem200036","url":null,"abstract":"Glass Fibre Reinforcement Plastic (GFRP) is widely used in engineering fields including aerospace, marine and construction, etc. During practical service, it is prone to the impact damage leading to the Localized Thickness Loss (LTL) which severely influences the integrity and safety of GFRP. To detect and evaluate LTL in GFRP, common Non-Destructive Testing (NDT) techniques such as ultrasonic testing and thermography are usually applied. Complementary to these methods, microwave NDT has been found to be one of the promising techniques in quantitative evaluation of GFRP. In this paper, the characterization and imaging of LTL in GFRP by microwave NDT are intensively investigated. A 2D Finite Element Model (FEM) with the Ka-band open-ended waveguide and GFRP sample subject to LTL has been set up and adopted for analysis of field characteristics and testing signals. Following that, an experimental investigation is conducted to further study the feasibility of LTL imaging by microwave NDT with the Ka-band open-ended waveguide. The results from simulations and experiments indicate the applicability of Ka-band microwave open-ended waveguide for detection and evaluation of LTL in GFRP.","PeriodicalId":296740,"journal":{"name":"Studies in Applied Electromagnetics and Mechanics","volume":"193 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134063704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
An Eddy Current Method to Evaluate Local Wall Thinning of Carbon Steel Pipe 涡流法评价碳钢管壁局部减薄
Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200005
Shanshan Sun, Deqiang Zhou, N. Yusa, Haicheng Song
{"title":"An Eddy Current Method to Evaluate Local Wall Thinning of Carbon Steel Pipe","authors":"Shanshan Sun, Deqiang Zhou, N. Yusa, Haicheng Song","doi":"10.3233/saem200005","DOIUrl":"https://doi.org/10.3233/saem200005","url":null,"abstract":"This paper proposes to evaluate the local wall thinning of carbon steel pipe using an eddy current method. Firstly, the feature signals are determined by correlation analysis of the signals and the wall thinning sizes. Subsequently, the models for estimating the residual wall thickness rt is constructed using Gaussian process regression (GPR). Finally, the applicability of the models to the evaluation of local wall thinning is verified by simulation and experiment.","PeriodicalId":296740,"journal":{"name":"Studies in Applied Electromagnetics and Mechanics","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116470226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Signal Processing Method for Steel Plate Thickness Measurement Using EMATs 基于EMATs的钢板厚度测量信号处理方法
Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200034
Chao Jiang, Wencai Liu, Youwei Liu, Xinjun Wu
{"title":"A Signal Processing Method for Steel Plate Thickness Measurement Using EMATs","authors":"Chao Jiang, Wencai Liu, Youwei Liu, Xinjun Wu","doi":"10.3233/saem200034","DOIUrl":"https://doi.org/10.3233/saem200034","url":null,"abstract":"The time-of-flight (TOF) of the electromagnetic acoustic transducer (EMAT) echo signal can be used to measure the steel plate thickness. There are two ways to obtain the TOF, which are measure the peak to peak time in the time domain and calculate the echo frequency in the frequency domain. In this paper, a simplified signal model is proposed based on the analysis of received signals. Further, the relationship between the echo signal and excitation signal is considered. The echo signal is separated when the asynchronous demodulation method is applied to the received signal, and the thickness of steel plate can be calculated according to the peak spectral frequency in the low frequency band. The simplified model and signal processing method are verified by the experiment, and the results show that the model is reasonable and the accuracy of the signal processing method is high.","PeriodicalId":296740,"journal":{"name":"Studies in Applied Electromagnetics and Mechanics","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132159016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data Analysis of Magnetic Flux Leakage Detection Based on Multi-Source Information Fusion 基于多源信息融合的漏磁检测数据分析
Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200033
Shao Weilin, Ming Sun, Ma Yilai, Chen Jinzhong, Kang Xiaowei, Tao Meng, R. He
{"title":"Data Analysis of Magnetic Flux Leakage Detection Based on Multi-Source Information Fusion","authors":"Shao Weilin, Ming Sun, Ma Yilai, Chen Jinzhong, Kang Xiaowei, Tao Meng, R. He","doi":"10.3233/saem200033","DOIUrl":"https://doi.org/10.3233/saem200033","url":null,"abstract":"For the analysis of the magnetic flux leakage detection data in pipelines, a single information source data analysis method is used to determine the pipeline characteristics with uncertainty. A multi-source information fusion data analysis technology is proposed. This paper makes full use of the information collected by the multi-source sensors of the magnetic leakage internal detector, and adopts distributed and centralized multi-source information fusion analysis technology. First, pre-analyze and judge the information data of the auxiliary sensors (speed, pressure, temperature) of the internal magnetic flux leakage detector. Then, the data of the main sensor, ID / OD sensor, axial mileage sensor, and circumferential clock sensor of the magnetic flux leakage detector are analyzed separately. Finally, the RBF neural network + least squares support vector machine (LSSVM)fusion analysis technology is adopted to realize the fusion analysis of multi-source information. The results show that this method can effectively improve the quality and reliability of data analysis compared with traditional single information source data analysis.","PeriodicalId":296740,"journal":{"name":"Studies in Applied Electromagnetics and Mechanics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123137765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Design and Application of a Magnetoelectric Composite Sensor for Pipeline Defect Detection 管道缺陷检测磁电复合传感器的设计与应用
Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200013
Zhu Haibo, Song Huadong, Guo Xiaoting, Z. Wenqiang, Song Yunpeng, Xu Chunfeng, Yu-hang Yu
{"title":"Design and Application of a Magnetoelectric Composite Sensor for Pipeline Defect Detection","authors":"Zhu Haibo, Song Huadong, Guo Xiaoting, Z. Wenqiang, Song Yunpeng, Xu Chunfeng, Yu-hang Yu","doi":"10.3233/saem200013","DOIUrl":"https://doi.org/10.3233/saem200013","url":null,"abstract":"Nowadays, there are 160000 kilometers of pipelines in China. How to get more pipeline information in pipeline integrity management is a vitally important research topic. This paper designs a magnetoelectric composite sensor which is suitable for the non-destructive detection of the buried pipeline. according to the defect characteristics. this paper introduces the working principle, structure and characteristics of the composite sensor. Combined with the advantages of the magnetic sensor which is sensitive to the volume defects of the tube wall and the high frequency eddy current sensor which is sensitive to the near-surface defects of the tube wall on the principle of magnetic flux leakage, it realizes the identification and evaluation of the inner and outer wall defects of the tube wall. In this paper, the pipeline in the traction test field is taken as the test object. The test results show that there are 37 defects picked up by the magnetic sensor and 19 defects judged by the eddy current sensor.","PeriodicalId":296740,"journal":{"name":"Studies in Applied Electromagnetics and Mechanics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123583709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Numerical Investigation on Faults Diagnosis for AC Induction Machine by Magnetic Flux Distribution 基于磁通分布的交流感应电机故障诊断数值研究
Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200016
Linfeng Li, Yating Yu, Qin Hong, Zhenwei Wang
{"title":"Numerical Investigation on Faults Diagnosis for AC Induction Machine by Magnetic Flux Distribution","authors":"Linfeng Li, Yating Yu, Qin Hong, Zhenwei Wang","doi":"10.3233/saem200016","DOIUrl":"https://doi.org/10.3233/saem200016","url":null,"abstract":"AC induction machines are widely used in electric servo drive, information processing, transportation and other fields. However, the unexpected faults cause the serious threat for the normal operation and operator’s safety. Therefore, timely faults diagnosis is an effective way to ensure the AC induction machines to work in health condition. In AC induction machines, magnetic field is the basis of energy conversion of motor, and the faults have the directly influence on the electromagnetic field distribution. In this paper, 2D numerical model of the AC squirrel-cage asynchronous induction machine is built by using COMSOL Multiphysics according to finite element method; Then, the magnetic flux distribution of AC induction motor with three different faults which commonly occurs in engineering are simulated. Base on the numerical simulation, the influence of the different faults on the magnetic distribution is discussed in detail. The investigation is beneficial to find a nondestructive fault diagnosis approach to the induction machine.","PeriodicalId":296740,"journal":{"name":"Studies in Applied Electromagnetics and Mechanics","volume":"68 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121001392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Data Augmentation and Artificial Neural Networks for Eddy Currents Testing 涡流测试的数据增强和人工神经网络
Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200040
R. Cormerais, R. Longo, A. Duclos, G. Wasselynck, G. Berthiau
{"title":"Data Augmentation and Artificial Neural Networks for Eddy Currents Testing","authors":"R. Cormerais, R. Longo, A. Duclos, G. Wasselynck, G. Berthiau","doi":"10.3233/saem200040","DOIUrl":"https://doi.org/10.3233/saem200040","url":null,"abstract":"Eddy Currents (ECs) Non Destructive Testing (NDT) is widely used to determine the position and size of flaws in metal materials. Due to difficulties in estimating these parameters via inverse algorithms based on physical models, approaches focused on Artificial Neural Network (ANN) are nowadays of great interest. The main drawbacks of these techniques still reside in the complexity of the numerical models and the large number of simulated data needed to train and test the ANN, leading to a considerable amount of calculation time and resources. To overcome these limitations, this article proposes a new approach based on a data augmentation procedure via Principal Component Analysis (PCA) applied to numerical simulations.","PeriodicalId":296740,"journal":{"name":"Studies in Applied Electromagnetics and Mechanics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125023271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sensitivity Analysis for the Inverse Problems of Electromagnetic Nondestructive Evaluation 电磁无损评价反问题的灵敏度分析
Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200032
S. Bilicz
{"title":"Sensitivity Analysis for the Inverse Problems of Electromagnetic Nondestructive Evaluation","authors":"S. Bilicz","doi":"10.3233/saem200032","DOIUrl":"https://doi.org/10.3233/saem200032","url":null,"abstract":"Sensitivity analysis of the model-based inverse problem associated to electromagnetic nondestructive evaluation is dealt with. Some uncertainty of the arrangement is inevitable present (imprecise host material parameters, sensor mispositioning, etc.), and this induces uncertainty on the reconstructed defect parameters. The aim of this work is to present a methodology for the ranking of the different sources of random error according to their contribution to the reconstruction uncertainty. To this end, state-of-art mathematical tools of sensitivity analysis are applied, including Sobol’ indices, and a polynomial chaos expansion surrogate model to reduce the computational burden of the method. A numerical example drawn from magnetic flux leakage nondestructive evaluation is presented to illustrate the proposed methodology.","PeriodicalId":296740,"journal":{"name":"Studies in Applied Electromagnetics and Mechanics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133649227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Analysis of Eddy Current Response to Lay Length of Wire Ropes 钢丝绳布放长度对涡流响应的分析研究
Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200006
Shaoni Jiao, Xiaojuan Jia, Tengyu Li, S. Jin, Z. Kou, Juan Wu, Yanfei Kou
{"title":"Research on Analysis of Eddy Current Response to Lay Length of Wire Ropes","authors":"Shaoni Jiao, Xiaojuan Jia, Tengyu Li, S. Jin, Z. Kou, Juan Wu, Yanfei Kou","doi":"10.3233/saem200006","DOIUrl":"https://doi.org/10.3233/saem200006","url":null,"abstract":"The lay length is one of the important parameters for the wire rope and its detection can indirectly characterize its stress and surface damage state. The eddy current testing (ECT) method is advantageous because of its easy operation, single-side detection, low requirement of surface preparation, applicability in harsh environment, and other properties. Hence the lay length of the wire ropes is measured by ECT in this paper. The eddy current (EC) response to the wire rope is simulated. The EC on the surface of the strand below the pancake coil forms a vortex, and the distribution of the EC on the curved surfaces on both sides of the strand is symmetrical. The spacing between the adjacent peaks or troughs of the scanning signal is the distance between the adjacent strands, and the number of peaks or troughs of the scanning signal in a range of the lay length is related to the number of strands of the wire rope. Finally, the experimental validation is performed. The relative error of the lay length of the wire rope assessed by the EC method is less than 0.28%.","PeriodicalId":296740,"journal":{"name":"Studies in Applied Electromagnetics and Mechanics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127773095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dependence of Coercivity and Barkhausen Noise Signal on Martensitic Stainless Steel with and without Quench 马氏体不锈钢淬火前后矫顽力和巴克豪森噪声信号的关系
Studies in Applied Electromagnetics and Mechanics Pub Date : 2020-09-29 DOI: 10.3233/saem200027
H. Kikuchi, Kohei Sugai, T. Murakami, Keiichi Matsumura
{"title":"Dependence of Coercivity and Barkhausen Noise Signal on Martensitic Stainless Steel with and without Quench","authors":"H. Kikuchi, Kohei Sugai, T. Murakami, Keiichi Matsumura","doi":"10.3233/saem200027","DOIUrl":"https://doi.org/10.3233/saem200027","url":null,"abstract":"We evaluated hysteresis curves and Barkhausen noise properties of the martensitic stainless steel with and without quench, and then investigated the relations between magnetic parameters and hardness based on microstructure changes. The quench introduced to reduce grain size, which relates to an increment of coercivity and Vickers hardness, a decrease in Barkhausen signal. The magnetic property changes reflect the changes in microstructures and mechanical property appeared on the quenched specimen. The obtained results contribute to aim to develop a magnetic nondestructive evaluation of residual stress appeared on the ferromagnetic steel combined with and without quench.","PeriodicalId":296740,"journal":{"name":"Studies in Applied Electromagnetics and Mechanics","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115689654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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