Russian Journal of Nondestructive Testing最新文献_第9页

The Possibility of Detecting Defects in Rail Foot by the MFL Method 用 MFL 方法检测轨脚缺陷的可能性

IF 0.9 4区材料科学

Russian Journal of Nondestructive Testing Pub Date : 2024-04-09 DOI: 10.1134/S1061830923601459

A. A. Markov, V. V. Mosyagin, A. G. Antipov, G. A. Ivanov

引用次数: 0

Diagnostic Microlab-Z2 Complex for Nondestructive Evaluation of Structural and Deformation Parameters of Metal Constructions 用于无损评估金属结构和变形参数的 Microlab-Z2 诊断综合系统

IF 0.9 4区材料科学

Russian Journal of Nondestructive Testing Pub Date : 2024-04-09 DOI: 10.1134/S1061830923601447

A. E. Zorin, V. I. Krasnenkov

{"title":"Diagnostic Microlab-Z2 Complex for Nondestructive Evaluation of Structural and Deformation Parameters of Metal Constructions","authors":"A. E. Zorin, V. I. Krasnenkov","doi":"10.1134/S1061830923601447","DOIUrl":"10.1134/S1061830923601447","url":null,"abstract":"The behavior of a structure under the influence of external factors is determined by three key groups of parameters the metal composition (chemical, structural, and deformation). Obtaining information about these parameters directly on the structure will effectively solve the problem of assessing its actual technical condition. The problem of nondestructive evaluation of the chemical composition of metal is solved using portable spectrometers. A Microlab-Z2 diagnostic complex has been developed to evaluate the other two groups of parameters. It has two functional blocks. The surface preparation unit ensures that the surface of the construction site has a roughness, flatness, and level of applied mechanical hardening corresponding to the laboratory preparation of metallographic specimens. The research unit is a platform on which a metallographic microscope and a portable microhardness tester are installed. It allows metallographic research with magnification up to ×1000, surface microindentation, measurement of microhardness values at load of 0–200 gf, and optical study of the morphology of imprints in any spatial position. The reliability of the data obtained by the Microlab-Z2 diagnostic complex has been confirmed during comparative tests with stationary equipment. An assessment of structure parameters and contamination of metal with nonmetallic inclusions, assessment of the degree of hardening and embrittlement of metal, and detection of aging processes can be performed with the help of the developed device. The use of the Microlab-Z2 diagnostic complex for operational nondestructive evaluation of structural and deformation parameters of metal structures will allow reaching a qualitatively different level of efficiency in performing production and acceptance testing of manufactured products, assessing the maintainability of defects, planning repairs and other compensating measures, and industrial safety expertise.","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":"60 1","pages":"75 - 84"},"PeriodicalIF":0.9,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140564082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Study of Additive Manufacturing Products Using Neutron Imaging 利用中子成像技术研究增材制造产品

IF 0.9 4区材料科学

Russian Journal of Nondestructive Testing Pub Date : 2024-04-09 DOI: 10.1134/S1061830923601046

M. M. Murashev, V. T. Em, V. P. Glazkov, I. V. Shishkovsky, K. I. Makarenko, E. A. Sulyanova

引用次数: 0

Measurement of Ultrasonic Pulse Arrival Time by Constructing a Signal Model to Determine Its Propagation Velocity 通过构建信号模型测量超声波脉冲到达时间以确定其传播速度

IF 0.9 4区材料科学

Russian Journal of Nondestructive Testing Pub Date : 2024-04-09 DOI: 10.1134/S1061830923601137

E. G. Bazulin, A. A. Krylovich

引用次数: 0

Application of Laser Scannung Thermography and Regression Analysis to Determine Characteristics of Defects in Polymer Composite Materials 应用激光扫描热成像和回归分析确定聚合物复合材料的缺陷特征

IF 0.9 4区材料科学

Russian Journal of Nondestructive Testing Pub Date : 2024-04-09 DOI: 10.1134/S1061830923601319

A. G. Divin, S. V. Ponomarev, S. V. Mishchenko, Yu. A. Zakharov, N. A. Karpova, A. A. Samodurov, D. Yu. Golovin, A. I. Tyurin

{"title":"Application of Laser Scannung Thermography and Regression Analysis to Determine Characteristics of Defects in Polymer Composite Materials","authors":"A. G. Divin, S. V. Ponomarev, S. V. Mishchenko, Yu. A. Zakharov, N. A. Karpova, A. A. Samodurov, D. Yu. Golovin, A. I. Tyurin","doi":"10.1134/S1061830923601319","DOIUrl":"10.1134/S1061830923601319","url":null,"abstract":"The method of laser point scanning thermography is highly sensitive and allows for reliable detection of surface and subsurface defects in products made of polymer composite materials. When implementing this method, the use of robotic manipulators as a scanning device makes it possible to inspect small-sized curved surface objects or to further examine questionable areas identified by other methods. The article provides information about the layout of a robotic complex for laser scanning thermography based on a five-axis robotic manipulator, laser power up to 3 W and wavelength 405 nm, as well as a COX CG640 thermal imager. A technique for processing experimental data has been proposed and regression models have been developed to make it possible to measure the size of defects along the trajectory and determine their location. To test the protocol, a control sample was made from fiberglass laminate, including artificial defects of the “delamination” type, in the form of squares of various sizes. The coefficient of determination R2 of regression models turned out to be no worse than 0.94, the root mean square error of the defect model and the transverse size were no worse than 0.2 and 1.5 mm2, respectively.","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":"60 1","pages":"46 - 53"},"PeriodicalIF":0.9,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140564046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Automatic Segmentation by the Method of Interval Fusion with Preference Aggregation When Recognizing Weld Defects 在识别焊缝缺陷时，使用带偏好聚合的区间融合法进行自动分段

IF 0.9 4区材料科学

Russian Journal of Nondestructive Testing Pub Date : 2024-02-20 DOI: 10.1134/S1061830923600855

S. V. Muravyov, D. C. Nguyen

引用次数: 0

Mirror-Shadow Method of Ultrasonic Testing of the Railroad Wheelset Axles Using the Electromagnetic-Acoustic Method of Wave Generation and Reception 利用电磁-声波产生和接收法对铁路轮对轴进行超声波检测的镜影方法

IF 0.9 4区材料科学

Russian Journal of Nondestructive Testing Pub Date : 2024-02-20 DOI: 10.1134/S1061830923700572

A. V. Platunov, V. V. Murav’ev, O. V. Murav’eva, P. A. Nikitina

引用次数: 0

Parametric Study of Anomaly Detection Models for Defect Detection in Infrared Thermography 用于红外热成像缺陷检测的异常检测模型参数研究

IF 0.9 4区材料科学

Russian Journal of Nondestructive Testing Pub Date : 2024-02-20 DOI: 10.1134/S1061830923600600

G. T. Vesala, V. S. Ghali, Y. Naga Prasanthi, B. Suresh

{"title":"Parametric Study of Anomaly Detection Models for Defect Detection in Infrared Thermography","authors":"G. T. Vesala, V. S. Ghali, Y. Naga Prasanthi, B. Suresh","doi":"10.1134/S1061830923600600","DOIUrl":"10.1134/S1061830923600600","url":null,"abstract":"In the current NDT 4.0 revolution, machine learning and artificial intelligence have emerged as the major enablers for non-destructive testing and evaluation (NDT&E) of industrial components. However, recent developments in active thermal NDT (TNDT) support its use as a practical method for checking a range of industrial components. Additionally, recent post-processing research in TNDT has developed several machine learning models to replace human interaction and offer automatic defect detection. However, the smaller area of the flaws and their related few thermal profiles than the wide sound area, leading to imbalanced datasets, make it difficult to train a supervised deep neural. Recently added to TNDT are anomaly detection models and one-class classifiers, both of which are commonly applied machine learning models to real-world issues. The accuracy and other important metrics in autonomous defect detection are influenced by the hyper-parameters of these models, such as contamination factor, volume of training data, and initialization parameter of the relevant model. The current paper investigates how initialization parameters affect these models' TNDT capabilities for automated flaw detection. Using quadratic frequency modulated thermal wave imaging (QFMTWI), a carbon fiber-reinforced polymer specimen with variously sized artificially produced back-holes at different depths is examined. A good hyper-parameter for automatic flaw identification is chosen after qualitatively comparing testing accuracy, precision, recall, F-score, and probability.","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":"59 12","pages":"1259 - 1271"},"PeriodicalIF":0.9,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139926353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Optical Testing of Degradation of Films of Polytetrafluoroethylene and Its Modification under Electron Irradiation 电子辐照下聚四氟乙烯薄膜降解及其改性的光学测试

IF 0.9 4区材料科学

Russian Journal of Nondestructive Testing Pub Date : 2024-02-20 DOI: 10.1134/S1061830923700584

E. N. Vazirova, R. M. Abashev, I. I. Milman, A. I. Surdo

{"title":"Optical Testing of Degradation of Films of Polytetrafluoroethylene and Its Modification under Electron Irradiation","authors":"E. N. Vazirova, R. M. Abashev, I. I. Milman, A. I. Surdo","doi":"10.1134/S1061830923700584","DOIUrl":"10.1134/S1061830923700584","url":null,"abstract":"A method for monitoring the degradation of the optical density in films of polytetrafluoroethylene and its modification, a copolymer of tetrafluoroethylene and ethylene, irradiated by electrons with energies of 100 keV and 10 MeV is described. The method is based on measuring the optical density of irradiated films in the photon energy range of 1–6 eV and is confirmed by established “dose–optical absorption” relationships. In particular, using the described method, a completely different nature of the radiation degradation of the optical properties of the two types of films under study was discovered. With an increase in the irradiation dose, “clearing effect” in the region of 2–5 eV and the occurrence of an absorption band at 5.6 eV are observed in polytetrafluoroethylene films. With a similar dose increase, three absorption bands at 4.0, 4.6, and 5.5 eV appear and grow in films of copolymer of tetrafluoroethylene and ethylene. The evidence of the critical role of the optical density of films in the functioning of space technology devices is given.","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":"59 12","pages":"1291 - 1296"},"PeriodicalIF":0.9,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139926238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Range of Applicability of a Technique for Constructing Magnetic Induction Lines for Flaw Sizing in Extended Objects 用于扩展物体缺陷尺寸测量的磁感应线构建技术的适用范围

IF 0.9 4区材料科学

Russian Journal of Nondestructive Testing Pub Date : 2024-02-20 DOI: 10.1134/S1061830923700596

A. V. Nikitin, A. V. Mikhaylov, L. V. Mikhaylov, Yu. L. Gobov, V. N. Kostin, Ya. G. Smorodinskiy

引用次数: 0