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2021 IEEE Far East NDT New Technology & Application Forum (FENDT)最新文献

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Defect-oriented ultrasonic three-dimensional imaging method 缺陷导向超声三维成像方法
2021 IEEE Far East NDT New Technology & Application Forum (FENDT) Pub Date : 2021-12-14 DOI: 10.1109/FENDT54151.2021.9749689
Lu Liu, Shi-yuan Zhou, Chong Zhen, Long Cheng, Can Zhao, Yonghong Wang, Chunguang Xu
{"title":"Defect-oriented ultrasonic three-dimensional imaging method","authors":"Lu Liu, Shi-yuan Zhou, Chong Zhen, Long Cheng, Can Zhao, Yonghong Wang, Chunguang Xu","doi":"10.1109/FENDT54151.2021.9749689","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749689","url":null,"abstract":"Ultrasonic 3D imaging technology is helpful to visually display the shape and distribution of defects, but when the amount of ultrasonic data is large, the 3D imaging reconstruction of non-defect parts waste computer performance, resulting in slow imaging speed. According to the sparseness of the mapped volume data, a moving cube algorithm based on bounding box is proposed for 3D reconstruction. The above algorithm was verified by experiments. The experimental results show that the improved moving cube algorithm can improve the time of reducing the three-dimensional imaging of ultrasound and improve the drawing speed.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129866444","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
Automated Detection of Defects with Casting DR Image Based on Deep Learning 基于深度学习的铸造DR图像缺陷自动检测
2021 IEEE Far East NDT New Technology & Application Forum (FENDT) Pub Date : 2021-12-14 DOI: 10.1109/FENDT54151.2021.9749682
Jinyangzi Fu, Kuan Shen
{"title":"Automated Detection of Defects with Casting DR Image Based on Deep Learning","authors":"Jinyangzi Fu, Kuan Shen","doi":"10.1109/FENDT54151.2021.9749682","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749682","url":null,"abstract":"In the production process of castings, due to the constraints of casting technology and production conditions, different types and degrees of defects will inevitably occur inside the casting. The traditional defect detection needs to manually determine the position and type of the defect in the Digital Radiography (DR) image of the casting, which is affected by the subjective initiative of people. For the disadvantages of manual judgment, we propose a method for detecting defects in DR images of castings based on deep learning. Firstly, the image is smoothed by guided filtering, and perform image enhancement on the smoothed image. Subsequently, we propose an improved Cascade Mask R-CNN network based on the Cascade Mask R-CNN to realize the detection and grading of the defects in the DR image of the casting. The experimental results show that the improved Cascade Mask R-CNN network has greatly improved the shrinkage defect recall rate of castings, reduced the missed defect rate, and improved the detection precision. It is proved that the improved Cascade Mask R-CNN network can better realize the detection of casting defects.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133321559","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
Influence of post-weld heat treatment on the residual stress distribution of complex rorating body 焊后热处理对复杂旋转体残余应力分布的影响
2021 IEEE Far East NDT New Technology & Application Forum (FENDT) Pub Date : 2021-12-14 DOI: 10.1109/FENDT54151.2021.9749661
Wenjun Zhang, Jiahui Tong, Wenhao Hu, Chunguang Xu, Peng Yin, Xiaowei Jiang
{"title":"Influence of post-weld heat treatment on the residual stress distribution of complex rorating body","authors":"Wenjun Zhang, Jiahui Tong, Wenhao Hu, Chunguang Xu, Peng Yin, Xiaowei Jiang","doi":"10.1109/FENDT54151.2021.9749661","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749661","url":null,"abstract":"The distribution of welding residual stress of the complex rorating body and the effect of post-weld heat treatment on stress relief were investigated using ultrasonic critical refraction longitudinal wave method. It is found that the ultrasonic critical refraction longitudinal wave method can efficiently and accurately detect the welding residual stress of the complex rorating body, the welding residual stress of the complex rorating body cannot be eliminated after post-weld heat treatment, and the heat treatment process is not ideal for the homogenization, it is necessary to combine with other stress relief methods for further reduction to ensure the safe service of the complex rorating body.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128131498","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
A Volumetric Measurement Algorithm of Defects in 3D CT Image Based on Spatial Intuitionistic Fuzzy C-means 基于空间直觉模糊c均值的三维CT图像缺陷体积测量算法
2021 IEEE Far East NDT New Technology & Application Forum (FENDT) Pub Date : 2021-12-14 DOI: 10.1109/FENDT54151.2021.9749668
Li-ze Zhang, Kuan Shen
{"title":"A Volumetric Measurement Algorithm of Defects in 3D CT Image Based on Spatial Intuitionistic Fuzzy C-means","authors":"Li-ze Zhang, Kuan Shen","doi":"10.1109/FENDT54151.2021.9749668","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749668","url":null,"abstract":"Defect volume measurement of 3D computed tomography (CT) image is of great importance in defect analysis. Currently, there are few volumetric measurement algorithms for defects, and it is difficult to meet the requirements of practical applications. To address this issue, an automatic volumetric measurement algorithm is proposed to obtain the defect volume in a 3D CT image in a more precise way. Spatial intuitionistic fuzzy C-means (SIFCM) is used to segment the defects in each slice image. Compared with fuzzy C-means (FCM) and OTSU algorithms, defect segmentation can achieve better results and accuracy. Subsequently, the defect volume of the connected component can be calculated using the 3D region growing in the segmented binary images. The experimental results demonstrate the feasibility and effectiveness of the proposed algorithm, especially for large defects.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"6 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128448229","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
Thermographic evaluation of Coating Thickness with Different Modulation Waveforms 不同调制波形下涂层厚度的热成像评价
2021 IEEE Far East NDT New Technology & Application Forum (FENDT) Pub Date : 2021-12-14 DOI: 10.1109/FENDT54151.2021.9749647
Siqi Chen, Kai Zhang, Li Chen, Tao He, Fei Chen, Haijun Jiang
{"title":"Thermographic evaluation of Coating Thickness with Different Modulation Waveforms","authors":"Siqi Chen, Kai Zhang, Li Chen, Tao He, Fei Chen, Haijun Jiang","doi":"10.1109/FENDT54151.2021.9749647","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749647","url":null,"abstract":"Modulated thermography has been successfully applied to coating thickness evaluations. In addition to lock-in thermography (LIT), three different more waveforms are used to alternate the heating patterns. Among them, frequency modulated thermal wave imaging (FMTWI) belongs to frequency modulation, Barker coded lock-in thermography (BC-LIT) belongs to phase modulation, Barker coded frequency modulated thermal wave imaging (BC-FMTWI) belongs to the combination of frequency modulation and phase modulation. A two-dimensional simulation model is established with COMSOL. To better compare the detectability in coating thickness, Gaussian white noise is introduced into the temperature signal. After Cross-correlation (CC), both CC-Delay and CC-Phase demodulation methods are used to calculate the SNR of different waveforms. The results show that CC-Phase is more preferable for detecting the thickness of thin coatings for all modulating waveforms. FMTWI and BC-FMTWI can effectively increase the detection range in thickness. However, LIT still has better SNR in its sensitive thickness range.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124516244","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
The influence of different weighting factors on linear-array photoacoustic tomography 不同加权因子对线阵光声层析成像的影响
2021 IEEE Far East NDT New Technology & Application Forum (FENDT) Pub Date : 2021-12-14 DOI: 10.1109/FENDT54151.2021.9749639
Xin Wu, Sheng Wang, Zhitao Luo, Hui Zhang
{"title":"The influence of different weighting factors on linear-array photoacoustic tomography","authors":"Xin Wu, Sheng Wang, Zhitao Luo, Hui Zhang","doi":"10.1109/FENDT54151.2021.9749639","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749639","url":null,"abstract":"Weighting factors are usually used to improve the imaging quality for photoacoustic tomography (PAT), different weighting factors have different influences on imaging quality. In this paper, five different weighting factors are used to improve the imaging quality for linear-array PAT, including coherence factor (CF), generalized coherence factor (GCF), sign coherence factor (SCF), spatial smoothed coherence factor (SSCF), and spatio-temporally smoothed coherence factor (STSCF). The simulation results show that SCF has the best contrast, later resolution, and signal-to-noise ratio (SNR) for linear-array PAT than CF, GCF, SSCF, and STSCF. SCF is the most appropriately used to improve imaging quality as the weighting factor for linear-array PAT among these weighting factors.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123606973","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
Eddy Current Imaging of Titanium Plate Surface Defects Based on Compressed Sensing 基于压缩感知的钛板表面缺陷涡流成像
2021 IEEE Far East NDT New Technology & Application Forum (FENDT) Pub Date : 2021-12-14 DOI: 10.1109/FENDT54151.2021.9749681
Zhaoyuan Li, Bo Ye, Xin Xiong, Yidan Zhang, Weiquan Deng, Jun Bao
{"title":"Eddy Current Imaging of Titanium Plate Surface Defects Based on Compressed Sensing","authors":"Zhaoyuan Li, Bo Ye, Xin Xiong, Yidan Zhang, Weiquan Deng, Jun Bao","doi":"10.1109/FENDT54151.2021.9749681","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749681","url":null,"abstract":"Titanium has excellent comprehensive properties, and its alloys are widely used in aerospace, petrochemical, bioengineering and other industries, among which plate is the most widely used. Before using titanium plate, visual eddy current testing of surface defects is particularly important. However, a large amount of data will be generated in the detection process, most of which are redundant data unrelated to defect imaging. Imaging with this data is not only inefficient, but also a waste of detection resources. In order to solve this problem, this paper proposes an eddy current imaging method of titanium plate surface defects based on compressed sensing. The induced voltage signal in the process of eddy current probe C-scan is sampled at a frequency far lower than that required by Nyquist sampling theorem, which shortens the sampling time and improves the sampling efficiency. The sampled signal is reconstructed by reconstruction algorithm, which can achieve almost the same effect as the original signal. The experimental results show that the proposed method only uses 3 / 8 of the original signal for imaging, and the reconstruction algorithm used in this method has faster reconstruction speed, lower reconstruction error and better reconstruction effect than other mainstream reconstruction algorithms. The use of this method improves the efficiency of the eddy current imaging detection of titanium plate surface defects, and compresses the space occupied by the imaging data. It can not only provide important technical support for optimizing the eddy current detection process of titanium plate surface defects, but also has important significance for the eddy current detection of other metals.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114537022","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
Comparative Analysis of Cubic Permanent Magnet and C-Electromagnet for Laser-EMAT Integrated System 激光- emat集成系统中立方永磁体与c型电磁铁的对比分析
2021 IEEE Far East NDT New Technology & Application Forum (FENDT) Pub Date : 2021-12-14 DOI: 10.1109/FENDT54151.2021.9749649
Wei Yuan, Ze Liu, Yongsheng Shi
{"title":"Comparative Analysis of Cubic Permanent Magnet and C-Electromagnet for Laser-EMAT Integrated System","authors":"Wei Yuan, Ze Liu, Yongsheng Shi","doi":"10.1109/FENDT54151.2021.9749649","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749649","url":null,"abstract":"The cube permanent magnet and C-type electromagnet, which can generate transverse magnetic fields, are analyzed in detail. Both of them combine with racetrack coil to form a Laser-EMAT integrated system to receive the out-plane vibration velocity of particles. The simulation results show that the diameter of the hole used to pass through the laser has little effect on the flux density generated in the specimen, whether it is a cube magnet or a C-type electromagnet. For the cube magnet, the intensity of the transverse magnetic field converted by 90-degree rotation is half that of the longitudinal magnetic field. The magnetic field strength in the specimen is not affected within the lift-off of 4mm between the permanent magnet and the specimen. Finally, the experiment verifies the correctness of the simulation result that both of the magnet and C-electromagnet can generate a transverse magnetic field for the flaw detection of the Laser-EMAT integrated system.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125588968","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
Dynamic Electromagnetic Thermography System for Rail Inspection 轨道检测动态电磁热成像系统
2021 IEEE Far East NDT New Technology & Application Forum (FENDT) Pub Date : 2021-12-14 DOI: 10.1109/FENDT54151.2021.9749670
Hao Li, Yunhan Shi, B. Gao, Xi-yuan Zhang, Gai Ru, Yong-sheng Shi, Yuhua Zhang, Longhui Xiong
{"title":"Dynamic Electromagnetic Thermography System for Rail Inspection","authors":"Hao Li, Yunhan Shi, B. Gao, Xi-yuan Zhang, Gai Ru, Yong-sheng Shi, Yuhua Zhang, Longhui Xiong","doi":"10.1109/FENDT54151.2021.9749670","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749670","url":null,"abstract":"With the rapid development of railway networks, high-speed or intensive rolling of wheels will significantly increase the probability of fatigue damage and it has laid a hidden danger for major safety accidents. Thus, the timely development of rail rolling contact fatigue crack detection plays a vital role in ensuring the safety of railway transportation. Conventional researches are mainly focusing on static conditions whereas it is difficult to meet the strong demands of efficient railway network inspection. This study proposes a dynamic electromagnetic thermography system that has distinct advantages of high detection efficiency, high spatial resolution, and intelligence. Ulteriorly, several scanning simulation and on-site experiments on different rails are implemented to demonstrate the performance and effectiveness of the proposed system and it also provides an innovative way for near-surface cracks inspection on railways in the future.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122151550","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
Dynamic Detection of Wheel Tread Crack Based on Eddy Current Pulse Thermography 基于涡流脉冲热成像的车轮踏面裂纹动态检测
2021 IEEE Far East NDT New Technology & Application Forum (FENDT) Pub Date : 2021-12-14 DOI: 10.1109/FENDT54151.2021.9749666
Kai-lang He, Jianping Peng, Ru-yu Ma, Xiang Zhang, Jian-qiang Guo
{"title":"Dynamic Detection of Wheel Tread Crack Based on Eddy Current Pulse Thermography","authors":"Kai-lang He, Jianping Peng, Ru-yu Ma, Xiang Zhang, Jian-qiang Guo","doi":"10.1109/FENDT54151.2021.9749666","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749666","url":null,"abstract":"Wheels are one of the key parts of train. Rolling contact fatigue cracks caused by frequent rolling contact with steel rails will seriously damage the safety of wheels. Non-destructive testing of wheels is essential to ensure the safety of train operation. Therefore, this paper has researched on the dynamic detection of wheel tread cracks based on eddy current pulsed thermography (ECPT). In this paper, the ECPT wheel dynamic detection system is built firstly, and the wheel tread crack detection data is collected through the system. Subsequently, this paper analyzes the distribution law of the temperature near the crack in the detection data, determines the best scan line position, and realizes the crack visualization through the scan line position and the line scan method (LSM). Finally, this paper proposes a quantitative method of crack length for dynamic detection of ECPT. This method is only suitable for the situation where the crack direction is the same as the wheel turning. The test results show that dynamic detection of ECPT can effectively detect wheel tread cracks, and the crack length quantitative method can effectively quantify the wheel tread crack length.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114233666","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
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