{"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":"<p>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.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":null,"pages":null},"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}
M. M. Murashev, V. T. Em, V. P. Glazkov, I. V. Shishkovsky, K. I. Makarenko, E. A. Sulyanova
{"title":"Study of Additive Manufacturing Products Using Neutron Imaging","authors":"M. M. Murashev, V. T. Em, V. P. Glazkov, I. V. Shishkovsky, K. I. Makarenko, E. A. Sulyanova","doi":"10.1134/S1061830923601046","DOIUrl":"10.1134/S1061830923601046","url":null,"abstract":"<p>The paper presents the results of studies of additively manufactured metal samples using neutron imaging at the IR-8 research reactor of the National Research Center “Kurchatov Institute” (NRC KI). The advantages and disadvantages of neutron imaging using monochromatic (DRAGON station) and polychromatic (PONY tomograph) neutrons when studying internal structure of the samples are demonstrated.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140564094","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}
{"title":"Measurement of Ultrasonic Pulse Arrival Time by Constructing a Signal Model to Determine Its Propagation Velocity","authors":"E. G. Bazulin, A. A. Krylovich","doi":"10.1134/S1061830923601137","DOIUrl":"10.1134/S1061830923601137","url":null,"abstract":"<p>The paper considers several methods of measuring the arrival time of ultrasonic pulses. A method for determining the pulse arrival time based on the construction of a signal model with an adaptive dictionary and the search for the minimum of the objective function by the quantum swarm intelligence method is proposed. The results of numerical and modeling experiments on measuring the propagation velocity of ultrasonic waves in various samples are presented. It is shown that the proposed method of determining the time of pulse arrival is more resistant to distortion of the echo waveform arising due to frequency-dependent attenuation in the material of the test object.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140564098","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}
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":"<p>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 <i>R</i><sup>2</sup> 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 mm<sup>2</sup>, respectively.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":null,"pages":null},"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}
{"title":"Automatic Segmentation by the Method of Interval Fusion with Preference Aggregation When Recognizing Weld Defects","authors":"S. V. Muravyov, D. C. Nguyen","doi":"10.1134/S1061830923600855","DOIUrl":"10.1134/S1061830923600855","url":null,"abstract":"<p>Quality control in welding is usually carried out during the visual inspection process and is highly dependent on an operator experience. In this paper, an approach to automatic detection and classification of a defective region is proposed, in which the segmentation of the analyzed photographic image of a weld (i.e., its division into defective and defect-free regions) is performed using the region growing procedure. The starting points for this procedure are selected by the authors’ robust method of interval fusion with preference aggregation (IF&PA) on the base of image histogram analysis. Testing the proposed approach for real life photographic images showed its ability to detect different types of weld defects with higher accuracy compared to traditional methods, such as the Otsu method and <i>k</i>-means.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139926449","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}
A. V. Platunov, V. V. Murav’ev, O. V. Murav’eva, P. A. Nikitina
{"title":"Mirror-Shadow Method of Ultrasonic Testing of the Railroad Wheelset Axles Using the Electromagnetic-Acoustic Method of Wave Generation and Reception","authors":"A. V. Platunov, V. V. Murav’ev, O. V. Murav’eva, P. A. Nikitina","doi":"10.1134/S1061830923700572","DOIUrl":"10.1134/S1061830923700572","url":null,"abstract":"<p>The amplitude of the received signals during the ultrasonic testing of the railroad wheelset axles using the mirror-shadow method is significantly influenced by the quality of contact of the piezoelectric transducer with the cylindrical surface of the test object compared with the testing of objects with flat surfaces. The key reasons influencing the results of testing are the condition of the input surface, its curvature, as well as the application force of the piezoelectric transducer. When using electromagneticacoustic transducers, the requirements for surface quality are much lower, and this reduces the probability of errors associated with the contact quality on a cylindrical surface during acceptance ultrasonic testing by the mirror-shadow method of the railroad wheelset axles after manufacture and repair.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139926323","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}
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":"<p>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.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":null,"pages":null},"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}
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":"<p>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.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":null,"pages":null},"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}
A. V. Nikitin, A. V. Mikhaylov, L. V. Mikhaylov, Yu. L. Gobov, V. N. Kostin, Ya. G. Smorodinskiy
{"title":"Range of Applicability of a Technique for Constructing Magnetic Induction Lines for Flaw Sizing in Extended Objects","authors":"A. V. Nikitin, A. V. Mikhaylov, L. V. Mikhaylov, Yu. L. Gobov, V. N. Kostin, Ya. G. Smorodinskiy","doi":"10.1134/S1061830923700596","DOIUrl":"10.1134/S1061830923700596","url":null,"abstract":"<p>A technique for approximate solution of the inverse geometric problem of magnetostatics for a plate made of a high-permeability ferromagnet in a magnetic field is presented. The technique is presented both for the case of magnetic transducers located directly above a surface defect of loss of metal continuity and for the case where magnetic transducers are located above the defect-free surface of the plate. It is assumed that the plate is accessible from one side only. The sizes of defects in which the proposed technique works reliably are determined. It is shown that the proposed technique can be used in mobile devices to carry out flaw detection of drill pipes using the MFL (magnetic flux leakage) method directly at drilling sites.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139926319","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}
A. O. Chulkov, B. I. Shagdyrov, V. P. Vavilov, D. Yu. Kladov, V. I. Stasevskiy
{"title":"Detecting and Evaluating Water Ingress in Horizontally Oriented Aviation Honeycomb Panels by Using Automated Thermal Nondestructive Testing","authors":"A. O. Chulkov, B. I. Shagdyrov, V. P. Vavilov, D. Yu. Kladov, V. I. Stasevskiy","doi":"10.1134/S1061830923600946","DOIUrl":"10.1134/S1061830923600946","url":null,"abstract":"<p>Results of applying active thermal nondestructive testing for the detection of water ingress in horizontally oriented aviation honeycomb panels and quantitative evaluation of water content are presented. Unlike ultrasonic inspection, thermal testing allows one to detect water and evaluate its quantity in the presence of air gaps between water and inspected honeycomb skin. The proposed algorithm based on using an artificial neural network has enabled estimating water content with errors under 15% in the cases where water contacts a honeycomb skin, as well as in the presence of air gaps between the skin and water.</p>","PeriodicalId":764,"journal":{"name":"Russian Journal of Nondestructive Testing","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139926237","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}