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Journal articles on the topic 'Nondestructive characterization'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Sklarczyk, Christoph, Felix Porsch, Bernd Wolter, Christian Boller, and Jochen H. Kurz. "Nondestructive Characterization of and Defect Detection in Timber and Wood." Advanced Materials Research 778 (September 2013): 295–302. http://dx.doi.org/10.4028/www.scientific.net/amr.778.295.

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In order to detect defects and to increase the lifetime of timber structures nondestructive methods are developed to monitor and assess their condition. Timber and wood can be characterized nondestructively and in many cases contactless with diverse methods. This paper gives a short overview on some nondestructive methods based on electromagnetic effects: microwave/radar, nuclear magnetic resonance and X-ray techniques. To monitor the stress condition of the joints in timber structures some other techniques like micromagnetic methods, acoustic resonance analysis and ultrasonic stress analysis

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2

Yoo, Hyun Jun, Jong Chel Kim, Arsen Babajayan, Song Hui Kim, and Kie Jin Lee. "Nondestructive and Non-Contact Characterization Technique for Metal Thin Films Using a Near-Field Microwave Microprobe." Key Engineering Materials 321-323 (October 2006): 1457–60. http://dx.doi.org/10.4028/www.scientific.net/kem.321-323.1457.

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We observed the surface resistance of metal thin films by a nondestructive characterization method using a near-field scanning microwave microprobe (NSMM). The NSMM system was coupled to a dielectric resonator with a distance regulation system. To demonstrate the ability of local microwave characterization, the surface resistance dependence of the metallic thin films has been mapped nondestructively.

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3

Ultran Laboratories, Inc. "Nondestructive characterization transducers." NDT & E International 24, no. 1 (1991): 52. http://dx.doi.org/10.1016/0963-8695(91)90802-a.

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4

Alegria, C., and M. N. Zervas. "Nondestructive coupler characterization technique." Journal of Lightwave Technology 20, no. 6 (2002): 1034–47. http://dx.doi.org/10.1109/jlt.2002.1018815.

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5

Phillips, Andy. "Nondestructive Variable Temperature Materials Characterization for Semiconductor Research." AM&P Technical Articles 172, no. 10 (2014): 20–22. http://dx.doi.org/10.31399/asm.amp.2014-10.p020.

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Abstract To meet the rigorous demands of next-generation computer technology, new approaches to nondestructive measurement for early stage, temperature dependent materials characterization are needed. Terahertz spectroscopy bypasses the limitations of other characterization techniques by enabling nondestructive measurement under variable temperature and high magnetic field conditions.

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6

Xue, Renjie, Dong Xu, Quan Yang, Xiaochen Wang, Youzhao Sun, and Jiamin Zhang. "Nondestructive characterization of aluminum grain size using a ring-shaped laser ultrasonic method." AIP Advances 12, no. 4 (2022): 045114. http://dx.doi.org/10.1063/5.0076918.

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In this study, a nondestructive ring-shaped laser ultrasonic method with a thermoelastic excitation regime was used to determine the grain size of metal materials. This method was proposed in order to evaluate the quality of metal in a fast online nondestructive manner. Normally, laser ultrasonic is used to detect grain size in the ablation excitation regime. The laser excites high energy longitudinal waves but causes damage to the surface of metal materials. To achieve strict online nondestructive testing, the thermoelastic regime was used in this work. The ring-shaped laser was converted fro

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7

Lukáč, Pavel, Zuzanka Trojanová, and František Chmelík. "Microstructural Characterization by Nondestructive Methods." Materials Science Forum 482 (April 2005): 103–8. http://dx.doi.org/10.4028/www.scientific.net/msf.482.103.

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Nondestructive methods may help to detect changes in the internal structure of a material and to explain the behaviour of the material. This paper describes a series of nondestructive tests performed on magnesium composites with a variety of matrices: commercial pure Mg and three magnesium alloys AZ91, ZC63 and ZE41. Short fibres of δ-Al2O3 (Saffil®) were used as the reinforcement. Internal friction measurements and joint dilatation and acoustic emission studies were used to demonstrate how thermal cycling influences the deformation behaviour of Mg based metal matrix composites. The values of

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8

Pickering, Christopher. "Nondestructive characterization of semiconductor multilayers." JOM 46, no. 9 (1994): 60–64. http://dx.doi.org/10.1007/bf03222586.

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9

Morgner, W. "Fundamentals of nondestructive materials characterization." NDT & E International 27, no. 5 (1994): 263–68. http://dx.doi.org/10.1016/0963-8695(94)90131-7.

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10

GREEN, R. E., and Jr. "ULTRASONIC ATTENUATION NONDESTRUCTIVE MATERIALS CHARACTERIZATION." Le Journal de Physique Colloques 46, no. C10 (1985): C10–827—C10–834. http://dx.doi.org/10.1051/jphyscol:198510181.

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11

Geatches, R. M., K. J. Reason, A. J. Griddle, et al. "Nondestructive characterization of SIMOX structures." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 84, no. 2 (1994): 258–64. http://dx.doi.org/10.1016/0168-583x(94)95766-5.

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12

Ly, Thuc Hue, Dinh Loc Duong, Quang Huy Ta, et al. "Nondestructive Characterization of Graphene Defects." Advanced Functional Materials 23, no. 41 (2013): 5183–89. http://dx.doi.org/10.1002/adfm.201300493.

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13

Matikas, Theodore E., and Robert L. Crane. "Ultrasonic Nondestructive Techniques for Materials Characterization." MRS Bulletin 21, no. 10 (1996): 18–21. http://dx.doi.org/10.1557/s0883769400031596.

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Characterization of materials properties is critical for the understanding of materials behavior and performance under operating conditions. Tailoring materials properties, which are functions of the materials states, is essential for advanced product design. The need to characterize materials for a myriad of applications has spurred the development of many new methods and instruments. Unfortunately many of these characterization tools require destructive sectioning. Also many characterization techniques do not provide key information about material parameters in their operating environments.

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14

Huang, Yuping, Ziang Li, Zhouchen Bian, et al. "Overview of Deep Learning and Nondestructive Detection Technology for Quality Assessment of Tomatoes." Foods 14, no. 2 (2025): 286. https://doi.org/10.3390/foods14020286.

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Tomato, as the vegetable queen, is cultivated worldwide due to its rich nutrient content and unique flavor. Nondestructive technology provides efficient and noninvasive solutions for the quality assessment of tomatoes. However, processing the substantial datasets to achieve a robust model and enhance detection performance for nondestructive technology is a great challenge until deep learning is developed. The aim of this paper is to provide a systematical overview of the principles and application for three categories of nondestructive detection techniques based on mechanical characterization,

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15

Jalali, Hoda, Yuhui Zeng, Piervincenzo Rizzo, and Andrew Bunger. "Highly Nonlinear Solitary Waves to Estimate Orientation and Degree of Anisotropy in Rocks." Materials Evaluation 79, no. 10 (2021): 991–1004. http://dx.doi.org/10.32548/10.32548/2021.me-04233.

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This paper delves into the use of highly nonlinear solitary waves for the nondestructive identification and characterization of anisotropy in rocks. The nondestructive testing approach proposed expands upon a technique developed recently by some of the authors for the nondestructive characterization of engineering materials and structures. The technique uses the characteristics of solitary waves propagating in a periodic array of spherical particles in contact with the rock to be characterized. The features of the waves that bounce off the chain rock interface are used to infer some properties

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16

SUZUKI, Norio, Hiroyuki TAKAMATSU, Akio ARAI, Satoshi YANAI, Takeo OGAWA, and Masaru AKAMATSU. "Nondestructive Material Characterization with Laser Ultrasound." Tetsu-to-Hagane 79, no. 7 (1993): 883–89. http://dx.doi.org/10.2355/tetsutohagane1955.79.7_883.

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17

Livingston, R. A. "Nondestructive Materials Characterization for Historic Conservation." Materials Science Forum 210-213 (May 1996): 751–58. http://dx.doi.org/10.4028/www.scientific.net/msf.210-213.751.

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18

Rozenberg, Philippe. "Nondestructive Characterization and Imaging of Wood." Forestry: An International Journal of Forest Research 78, no. 3 (2005): 314–15. http://dx.doi.org/10.1093/forestry/cpi035.

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19

Baake, Olaf, Peter S. Hoffmann, Stefan Flege, et al. "Nondestructive characterization of nanoscale layered samples." Analytical and Bioanalytical Chemistry 393, no. 2 (2008): 623–34. http://dx.doi.org/10.1007/s00216-008-2465-2.

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20

Chrusciel, Laurent, and LERMAB Nanay. "Nondestructive characterization and imaging of wood." NDT & E International 37, no. 3 (2004): 249. http://dx.doi.org/10.1016/j.ndteint.2003.09.008.

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21

Vértesy, G., I. Mészáros, and I. Tomáš. "Nondestructive magnetic characterization of TRIP steels." NDT & E International 54 (March 2013): 107–14. http://dx.doi.org/10.1016/j.ndteint.2012.12.008.

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22

Lethiecq, M., J. C. Baboux, and M. Perdrix. "Nondestructive characterization of thin adhesive bonds." NDT & E International 25, no. 2 (1992): 104. http://dx.doi.org/10.1016/0963-8695(92)90608-j.

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23

Neslen, C. L., S. Mall, and S. Sathish. "Nondestructive Characterization of Fretting Fatigue Damage." Journal of Nondestructive Evaluation 23, no. 4 (2004): 153–62. http://dx.doi.org/10.1007/s10921-004-0821-5.

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24

Green, Robert E. "Practical applications of nondestructive materials characterization." JOM 44, no. 10 (1992): 12–16. http://dx.doi.org/10.1007/bf03223165.

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25

Lissenden, Clifford J. "Applied Sciences Special Issue: Ultrasonic Guided Waves." Applied Sciences 9, no. 18 (2019): 3869. http://dx.doi.org/10.3390/app9183869.

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The propagation of ultrasonic guided waves in solids is an important area of scientific inquiry due primarily to their practical applications for the nondestructive characterization of materials, such as nondestructive inspection, quality assurance testing, structural health monitoring, and for achieving material state awareness [...]

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26

Chen, Lili, Ulana Cikalova, Beatrice Bendjus, Stefan Muench, and Mike Roellig. "Characterization of ceramics based on laser speckle photometry." Journal of Sensors and Sensor Systems 9, no. 2 (2020): 345–54. http://dx.doi.org/10.5194/jsss-9-345-2020.

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Abstract. Advanced ceramic components are frequently used in industrial applications. As a brittle material, ceramic reacts very suddenly to excessively high stresses. Existing defects lead to rapid crack growth followed by spontaneous destruction. This leads to a functional failure of the entire component. It is therefore important to develop innovative techniques to ensure a good quality condition of ceramic products. Laser speckle photometry (LSP) is an optical nondestructive testing method. It is based on the dynamic analysis of time-resolved speckle patterns that are generated by an exter

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27

Ávila, F., E. Puertas, J. M. Azañón, and R. Gallego. "Free-free resonance method for the mechanical characterization of carbonate rocks used as building stones." Materiales de Construcción 72, no. 345 (2022): e276. http://dx.doi.org/10.3989/mc.2022.03421.

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Nondestructive testing techniques have attracted growing interest in the last few years due to their ability to assess material properties without damaging the specimens. The free-free resonance method is a nondestructive testing technique based on the analysis of the natural frequencies of a sample. This study presents and discusses the applicability of this technique, traditionally used on soils, for the mechanical characterization of rocks. With this aim, the free-free resonance method is used to obtain the dynamic elastic modulus and shear modulus of four carbonate rocks that have been wid

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28

Bensetti, Mohamed, Yann Le Bihan, Claude Marchand, and Jozsef Pavo. "Deposit characterization by eddy current nondestructive evaluation." International Journal of Applied Electromagnetics and Mechanics 19, no. 1-4 (2004): 537–40. http://dx.doi.org/10.3233/jae-2004-622.

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29

Mulaveesala, Ravibabu, Jyani Somayajulu Vaddi, and Pushpraj Singh. "Pulse compression approach to infrared nondestructive characterization." Review of Scientific Instruments 79, no. 9 (2008): 094901. http://dx.doi.org/10.1063/1.2976673.

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30

Setvín, M., J. Javorský, D. Turčinková, et al. "Ultrasharp tungsten tips—characterization and nondestructive cleaning." Ultramicroscopy 113 (February 2012): 152–57. http://dx.doi.org/10.1016/j.ultramic.2011.10.005.

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31

Chen, D. Y., F. C. Lee, and G. Carpenter. "Nondestructive RBSOA characterization of IGBTs and MCTs." IEEE Transactions on Power Electronics 10, no. 3 (1995): 368–72. http://dx.doi.org/10.1109/63.388003.

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32

Kenderian, Shant. "Introduction to Nondestructive Materials Characterization Special Issue." Research in Nondestructive Evaluation 28, no. 1 (2017): 1–2. http://dx.doi.org/10.1080/09349847.2017.1285088.

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33

Thompson, R. B. "Laboratory nondestructive evaluation technology for materials characterization." Journal of Nondestructive Evaluation 15, no. 3-4 (1996): 163–76. http://dx.doi.org/10.1007/bf00732043.

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34

Ravasoo, A., and J. Janno. "Nondestructive characterization of materials with variable properties." Acta Mechanica 151, no. 3-4 (2001): 217–33. http://dx.doi.org/10.1007/bf01246919.

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35

Garner, James, Paul Conroy, Robert Keppinger, and Gregory Oberlin. "Small Arms Gun Tube Nondestructive Evaluation Characterization." Materials and Manufacturing Processes 27, no. 8 (2012): 815–19. http://dx.doi.org/10.1080/10426914.2011.648689.

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36

Lauridsen, E. M., S. R. Dey, R. W. Fonda, and D. Juul Jensen. "Nondestructive approaches for 3-D materials characterization." JOM 58, no. 12 (2006): 40–44. http://dx.doi.org/10.1007/bf02748494.

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37

Tuzun, Mert Yagiz, Mustafa Alp Yalcin, Kemal Davut, and Volkan Kilicli. "Nondestructive microstructural characterization of austempered ductile iron." Materials Testing 65, no. 3 (2023): 453–65. http://dx.doi.org/10.1515/mt-2022-0265.

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Abstract Austempered ductile iron (ADI) has been preferred in a wide range of applications due its unique combination of high strength, good ductility, wear resistance and fracture toughness together with lower cost and lower density compared to steels. Magnetic Barkhausen noise (MBN) measurement offers a better alternative to traditional characterization techniques by being fast and non-destructive. A simple linear regression using only one single independent variable cannot correlate the MBN with the microstructure of ADI, since its microstructure is multi-component. Multiple linear regressi

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38

Tostanoski, Nicholas J., and S. K. Sundaram. "Examining Ceramics, Glasses and Composites with Nondestructive Terahertz Radiation." AM&P Technical Articles 180, no. 6 (2022): 15–21. http://dx.doi.org/10.31399/asm.amp.2022-06.p015.

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39

Wada, Kazumi. "Cathodoluminescence characterization of two-dimensional interface structure of quantum wells." Proceedings, annual meeting, Electron Microscopy Society of America 48, no. 4 (1990): 754–55. http://dx.doi.org/10.1017/s0424820100176903.

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Exotic properties shown by quantum well structures, typical structures of future electron devices, are sensitive to interface roughness. Extensive studies are, thus, focused on characterization of interface structures. Recent improvement in quantum wire fabrication technology demands for characterizing not only perpendicular-interfaces to the growth direction but also parallel-ones (sidewall-interfaces). Such sophistication needs innovation in two-dimensional and nondestructive characterization technology.In device structures, interfaces are generally located deep in bulk. STM which visualize

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40

Park, Seong-Hyun, Sungho Choi, Dong-Gi Song, and Kyung-Young Jhang. "Microstructural Characterization of Additively Manufactured Metal Components Using Linear and Nonlinear Ultrasonic Techniques." Materials 15, no. 11 (2022): 3876. http://dx.doi.org/10.3390/ma15113876.

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Metal additive manufacturing (AM) is an innovative manufacturing technology that uses a high-power laser for the layer-by-layer production of metal components. Despite many achievements in the field of AM, few studies have focused on the nondestructive characterization of microstructures, such as grain size and porosity. In this study, various microstructures of additively manufactured metal components were characterized non-destructively using linear/nonlinear ultrasonic techniques. The contributions of this study are as follows: (1) presenting correlation analyses of various microstructures

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41

Buck, Otto. "Crack Characterization." MRS Bulletin 14, no. 8 (1989): 44–51. http://dx.doi.org/10.1557/s0883769400061959.

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Although cracks in structural components are, in general, highly undesirable, not all of them are detrimental to the life of the structure. To determine precisely how detrimental the crack actually is, one must characterize several crack parameters, particularly the location, size, shape, and orientation with respect to the applied stress. With these parameters and the magnitude of the applied stress, the driving force on the crack can be calculated by determining the stress intensity factor K or the stress intensity range ΔK. Most inspections today are performed in a scanning mode. If indicat

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42

Takeya, Satoshi, Michihiro Muraoka, Sanehiro Muromachi, Kazuyuki Hyodo, and Akio Yoneyama. "X-ray CT observation and characterization of water transformation in heavy objects." Physical Chemistry Chemical Physics 22, no. 6 (2020): 3446–54. http://dx.doi.org/10.1039/c9cp05983k.

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43

Ghoni, Ruzlaini, Mahmood Dollah, Aizat Sulaiman, and Fadhil Mamat Ibrahim. "Defect Characterization Based on Eddy Current Technique: Technical Review." Advances in Mechanical Engineering 6 (January 1, 2014): 182496. http://dx.doi.org/10.1155/2014/182496.

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Eddy current testing is widely used for nondestructive evaluation of metallic structures in characterizing numerous types of defects occurring in various locations. It offers remarkable advantages over other nondestructive techniques because of its ease of implementation. This paper presents a technical review of Eddy current technique in various scope of defect detection. The first part presents Eddy current evaluation on various defects location and orientation such as steam generator tubes, stress crack corrosion, and fatigue cracks. The next section analyzes the use of pulsed Eddy current

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44

Jaime-Barquero, Edurne, Yan Zhang, Nicholas E. Drewett, Pedro López-Aranguren, Ekaitz Zulueta, and Emilie Bekaert. "Spatially Offset Raman Spectroscopy for Characterization of a Solid-State System." Batteries 9, no. 1 (2022): 20. http://dx.doi.org/10.3390/batteries9010020.

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Solid-state batteries represent a promising technology in the field of high-energy-density and safe storage systems. Improving the understanding of how defects form within these cells would greatly facilitate future development, which would be best served by applying nondestructive analytical tools capable of characterization of the key components and their changes during cycling and/or aging. Spatially offset Raman spectroscopy (SORS) represents a potentially useful technique, but currently there is a lack of knowledge regarding its use in this field. To fill this gap, we present an investiga

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45

Kim, Jeong Guk, Sung Tae Kwon, and Won Kyung Kim. "NDE Characterization and Mechanical Behavior in Ceramic Matrix Composites." Key Engineering Materials 321-323 (October 2006): 946–51. http://dx.doi.org/10.4028/www.scientific.net/kem.321-323.946.

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Several nondestructive evaluation (NDE) techniques, including ultrasonic C-scan, X-ray computed tomography (CT), and infrared (IR) thermography, were employed on ceramic matrix composites (CMCs) to illustrate defect information that might effect mechanical behavior and to analyze structural performance of CMCs. Prior to tensile testing, through C-scan and CT analyses results, the qualitative relationship between the relative ultrasonic transmitted amplitude and porosity based on CT was exhibited. An IR camera was used for in-situ monitoring of progressive damages and to determine temperature c

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46

Karin, Todd, David Miller, and Anubhav Jain. "Nondestructive Characterization of Antireflective Coatings on PV Modules." IEEE Journal of Photovoltaics 11, no. 3 (2021): 760–69. http://dx.doi.org/10.1109/jphotov.2021.3053482.

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47

Kim, Tae Geun, Seung Yoon Lee, In Yong Kang, Yong Chae Chung, and Jin Ho Ahn. "Nondestructive and Destructive Characterization of Nano-Structured Multilayer." Key Engineering Materials 270-273 (August 2004): 849–54. http://dx.doi.org/10.4028/www.scientific.net/kem.270-273.849.

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48

Kim, Junghyun, Mingi Cho, Taehyoung Lim, and Wonbin Hong. "Microwave Sensor for Nondestructive, Volume-Independent Liquid Characterization." IEEE Sensors Letters 6, no. 1 (2022): 1–4. http://dx.doi.org/10.1109/lsens.2021.3133699.

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49

Bhattacharyya, A. B., S. Tuli, and S. Kataria. "An automated nondestructive characterization system for pyroelectric materials." IEEE Transactions on Instrumentation and Measurement 43, no. 1 (1994): 30–33. http://dx.doi.org/10.1109/19.286351.

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50

Jiles, David. "THIRD INTERNATIONAL SYMPOSIUM ON NONDESTRUCTIVE CHARACTERIZATION OF MATERIALS." Nondestructive Testing and Evaluation 5, no. 1 (1989): 81–82. http://dx.doi.org/10.1080/02780898908952956.

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