Academic literature on the topic 'Metal defects'

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Journal articles on the topic "Metal defects"

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CONRAD, EDWARD H. "THE STABILITY OF LOW INDEX METAL SURFACES TO TOPOLOGICAL DEFECTS." International Journal of Modern Physics B 05, no. 03 (February 10, 1991): 427–59. http://dx.doi.org/10.1142/s0217979291000274.

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The study of defect formation at metal surfaces is a fundamental problem in surface physics. An understanding of defect formation is pertinent to growth and diffusion mechanisms. In addition, surface roughening, faceting, and surface melting are all defect mediated phase transitions involving the formation of different topological defects. While the importance of defects at surfaces is well recognized, the study of surface defects has been hampered by the lack of sufficiently accurate experimental techniques. In fact, it is only in the past 6 years that experiments on the thermal generation of defects on metal surfaces have been performed. This review attempts to outline both the theoretical and experimental work on surface defect formation on metal systems.
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Nagata, Shoichiro, Takemi Sakamoto, and Masato Enokizono. "Quantitative Defect Detection inside Metal Casting Specimens by Means of MFES." Materials Science Forum 792 (August 2014): 104–9. http://dx.doi.org/10.4028/www.scientific.net/msf.792.104.

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An NDE measurement for internal defects of metal casting products is presented. The internal defects are often made in the manufacturing process of metal casting. From the view point of non-destructive evaluation (NDE), it is very difficult to make artificial defects that simulate actual internal defects. Therefore, we prepared a lot of metal casting samples that may include defects, and investigated the relation between the defect dimensions and the spectrogram that were generated by Multi-Frequency Excitation and Spectrogram Method (MFES).
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Horichok, Ihor, Myroslava Shevchuk, Taras Parashchuk, and Mar’jan Galushchak. "INTRINSIC POINT DEFECTS OF SAMARIUM MONOSULPHIDE CRYSTALS IN METAL PHASE." Chemistry & Chemical Technology 11, no. 3 (August 28, 2017): 319–26. http://dx.doi.org/10.23939/chcht11.03.319.

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Sika, Robert, Michał Rogalewicz, Paweł Popielarski, Dorota Czarnecka-Komorowska, Damian Przestacki, Katarzyna Gawdzińska, and Paweł Szymański. "Decision Support System in the Field of Defects Assessment in the Metal Matrix Composites Castings." Materials 13, no. 16 (August 12, 2020): 3552. http://dx.doi.org/10.3390/ma13163552.

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This paper presented a new approach to decision making support of defects assessment in metal matrix composites (MMC). It is a continuation of the authors’ papers in terms of a uniform method of casting defects assessment. The idea of this paper was to design an open-access application (follow-up system called Open Atlas of Casting Defects (OACD)) in the area of industry and science. This a new solution makes it possible to quickly identify defect types considering the new classification of casting defects. This classification complements a classical approach by adding a casting defect group called structure defects, which is especially important for metal matrix composites. In the paper, an application structure, and the possibility of its use in casting defects assessment were introduced.
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Luo, Yun, Chuanlong Wang, Wenchun Jiang, Yu Wan, Weiya Zhang, and Yu Wang. "Effects of Inner Defects on Creep Damage and Crack Initiation for a Brazed Joint." High Temperature Materials and Processes 37, no. 9-10 (October 25, 2018): 863–72. http://dx.doi.org/10.1515/htmp-2017-0098.

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AbstractIn the brazing process, some brazing defects like semicircular or straight type are generated due to incomplete filling. In this paper, the creep damage and creep crack initiation (CCI) time of Hastelloy C276-BNi2 brazed joint with defects are investigated by a ductility exhaustion damage model. The effects of defect dimension and filler metal thickness are also discussed. The results show that the different defects have different creep damage distributions and CCI times. The maximum creep damage is located at the defect frontier due to the larger stress concentration. With the increase of semicircular defect radius and straight defect length, the CCI time decreases. The creep fracture is inclined to generate in semicircular defect for the smaller defect area ratio, while it is easy to generate in straight defect for the bigger defect area ratio. As the filler metal thickness increases, the CCI time increases. For the thicker filler metal, the creep crack is easy to initiate in semicircular defect.
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Shan, Ning, Xia Liu, and Yong Zhong Ma. "Experiment Research on an Optical Fiber F-p Ultrasound Sensor for Detecting Internal Defects of Metal Materials." Advanced Materials Research 549 (July 2012): 593–96. http://dx.doi.org/10.4028/www.scientific.net/amr.549.593.

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Metal materials have been used in aero industry widely because of its excellent characteristics. So its internal defects are very important. Ultrasound detection technology for detecting metal materials internal defects is related to piezoelectric ultrasonic sensor. This has a few of disadvantages. So the double wavelength optical fiber F-P ultrasound sensing system is designed in this paper. The ultrasound detecting experiment devices for internal defects of metal materials is established based on the optical fiber F-P sensing system. Experimental research of detecting the internal defects is developed. The experimental results show this sensor can detect the ultrasound signals effectively. And it’s proved that this method can be effective used in the internal defect of metal materials.
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Sheu, Ruey-Kai, Lun-Chi Chen, Mayuresh Sunil Pardeshi, Kai-Chih Pai, and Chia-Yu Chen. "AI Landing for Sheet Metal-Based Drawer Box Defect Detection Using Deep Learning (ALDB-DL)." Processes 9, no. 5 (April 27, 2021): 768. http://dx.doi.org/10.3390/pr9050768.

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Sheet metal-based products serve as a major portion of the furniture market and maintain higher quality standards by being competitive. During industrial processes, while converting a sheet metal to an end product, new defects are observed and thus need to be identified carefully. Recent studies have shown scratches, bumps, and pollution/dust are identified, but orange peel defects present overall a new challenge. So our model identifies scratches, bumps, and dust by using computer vision algorithms, whereas orange peel defect detection with deep learning have a better performance. The goal of this paper was to resolve artificial intelligence (AI) as an AI landing challenge faced in identifying various kinds of sheet metal-based product defects by ALDB-DL process automation. Therefore, our system model consists of multiple cameras from two different angles to capture the defects of the sheet metal-based drawer box. The aim of this paper was to solve multiple defects detection as design and implementation of Industrial process integration with AI by Automated Optical Inspection (AOI) for sheet metal-based drawer box defect detection, stated as AI Landing for sheet metal-based Drawer Box defect detection using Deep Learning (ALDB-DL). Therefore, the scope was given as achieving higher accuracy using multi-camera-based image feature extraction using computer vision and deep learning algorithm for defect classification in AOI. We used SHapley Additive exPlanations (SHAP) values for pre-processing, LeNet with a (1 × 1) convolution filter, and a Global Average Pooling (GAP) Convolutional Neural Network (CNN) algorithm to achieve the best results. It has applications for sheet metal-based product industries with improvised quality control for edge and surface detection. The results were competitive as the precision, recall, and area under the curve were 1.00, 0.99, and 0.98, respectively. Successively, the discussion section presents a detailed insight view about the industrial functioning with ALDB-DL experience sharing.
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Martinez, L. M., M. D. Teran, R. R. Chianelli, S. R. J. Hennadige, and S. R. Singamaneni. "Magnetic Defects in Transitional Metal Di-Chalcogenide Semiconducting Layers." MRS Advances 3, no. 6-7 (2018): 351–57. http://dx.doi.org/10.1557/adv.2018.110.

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ABSTRACTIn this work, we report on the electron spin resonance (ESR) studies performed on few-layered nanocrystalline (NCs) MoS2, WS2, and TiS2 prepared using hydrothermal and vapor transport methods. From the temperature dependent ESR spectra collected from MoS2 NCs, we have identified adsorbed oxygen species, sulphur vacancies, thio- and oxo-Mo5+ related paramagnetic defect centers. WS2 NCs have exhibited W+3 and oxo-W+5 paramagnetic defect spin species. TiS2 NCs showed defects such as Fe3+ (unwanted), oxygen and sulfur vacancies. This work demonstrates the usage of spin-sensitive spectroscopy such as ESR in unravelling the defects which contain unpaired electron spin centers in layered NCs two-dimensional materials.
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Drożdż, Monika, Bartek Wierzba, and Zbigniew Grzesik. "Concentration of Point Defects in Metal Deficient Zn1-yO." High Temperature Materials and Processes 37, no. 1 (January 26, 2018): 17–23. http://dx.doi.org/10.1515/htmp-2016-0256.

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AbstractIn this paper the doping effect has been used to indirectly calculate point defect concentration in metal-deficient Zn1-yO zinc oxide. The proposed method consists of determining the concentration of prevailing point defects in the studied oxide from the influence of chromium addition on the point defect situation in doped zinc oxide. It has been found that chromium addition into the crystal lattice of zinc oxide changes its ionic disorder, enabling calculation of predominant point defects in Zn1-yO. The concentration of predominant point defects in Zn1-yO is the following function of oxygen pressure and temperature: $$\eqalign{\left[{\,{{\rm V''}_{\rm Zn}}\,} \right]\, &= \,{1 \over 2}\left[{\,{\rm h^ \bullet}\,} \right]\, = \,0.63 \cdot \,\rm p_{{O_2}}^{1/6}\, \cdot {K^{1/3}}\,_{}^{}\, \cr& = \,\,5.6 \cdot {10^{- 3}} \cdot \,\rm p_{{O_2}}^{1/6}\, \cdot \exp \left({- {{27\,kJ/mol} \over {RT}}} \right)\cdot}$$
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Liu, Zixi, Zhengliang Hu, Longxiang Wang, Tianshi Zhou, Jintao Chen, Zhenyu Zhu, Hao Sui, Hongna Zhu, and Guangming Li. "Effective detection of metal surface defects based on double-line laser ultrasonic with convolutional neural networks." Modern Physics Letters B 35, no. 15 (April 15, 2021): 2150263. http://dx.doi.org/10.1142/s0217984921502638.

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The time–frequency analysis by smooth Pseudo-Wigner-Ville distribution (SPWVD) is utilized for the double-line laser ultrasonic signal processing, and the effective detection of the metal surface defect is achieved. The double-line source laser is adopted for achieving more defects information. The simulation model by using finite element method is established in a steel plate with three typical metal surface defects (i.e. crack, air hole and surface scratch) in detail. Besides, in order to improve the time resolution and frequency resolution of the signal, the SPWVD method is mainly used. In addition, the deep learning defect classification model based on VGG convolutional neural network (CNN) is set up, also, the data enhancement method is adopted to extend training data and improve the defects detection properties. The results show that, for different types of metal surface defects with sub-millimeter size, the classification accuracy of crack, air holes and scratch surface are 94.6%, 94% and 94.6%, respectively. The SPWVD and CNN algorithm for processing the laser ultrasonic signal and defects classification supplies a useful way to get the defect information, which is helpful for the ultrasonic signal processing and material evaluation.
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Dissertations / Theses on the topic "Metal defects"

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Watkins, Matthew Benjamin. "Transition metal point defects in diamond." Thesis, King's College London (University of London), 2005. https://kclpure.kcl.ac.uk/portal/en/theses/transition-metal-point-defects-in-diamond(9f9170ce-972a-40a2-8817-c96bdd440d4c).html.

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Maiorana, Marcus. "Gravitational defects from Sintering of Hard Metal." Thesis, KTH, Fysik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-103786.

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Vranch, Richard Leslie. "Defects in irradiated MOS structures." Thesis, University of Cambridge, 1985. https://www.repository.cam.ac.uk/handle/1810/252810.

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The MOS device is the basic switching element in modern integrated circuits, and its reliability is vital to the successful operation of electronic equipment. Exposure to ionising radiation seriously affects MOS devices because of charge trapping and the formation of defects at the silicon-silicon dioxide interface. After an introductory chapter on MOS devices and radiation effects, experiments are described which give information about the nature of the interface defects and how they interact with each other. A particular device current Irec is measured whose magnitude depends on the recombination of charge carriers at the defects. The device is so minute, and the interface so thin, that the paramagnetic defects are too few in number to be detected and identified by conventional electron spin resonance methods. However, the static and microwave magnetic fields corresponding to spin resonance affect the recombination of carriers on the defects, and this causes a detectable change in Irec. This phenomenon is called Spin-Dependent Recombination (SOR), and a survey of SOR studies in semiconductors is given in Chapter 2 . The experimental results confirm a model which suggests that SOR occurs between adjacent trapped pairs. The results of the experiments are compared with ESR data on similar (but much larger) MOS structures. Spin-Dependent Generation of carriers is also investigated. The recombination is also found to be strongly dependent on a static magnetic field of zero to 5 milliTesla, even with no microwaves. Results of experiments on these "non-resonant" spin-dependent effects are presented with a model, relating them to the resonance experiments, which involves the recombination of singlet and triplet electron-hole pairs in a magnetic field. Electrical charge injection can affect MOS devices in similar ways to ionising radiation, and this is discussed in Chapter 6. Experimental results are presented which show that there are spin-dependent effects associated with defects produced by electrical charge injection. There are two Appendices, on slow radiation-induced instabilities in MOS structures, and on the size of the recombination current Irec�
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Harik, Marc Anthony. "CHARACTERIZATION OF DEFECTS IN METAL SHEETS VIA INFRARED THERMOGRAPHY." UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_theses/32.

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Defects in Aluminum, Stainless steel and galvanized steel sheets are studied in reflection mode infrared thermography. The effect of material properties, surface finish, heating intensity, heater emission spectra, pixel size and defect size are studied. Contrast is governed by heat quality, emissivity and defect geometry—which follows a logarithmic trend. The diameter detected via infrared thermography is found to be at least 30% larger than the measured diameter and sub-pixel defects can be detected. The use of gradient and Laplacian of temperature is introduced as a means of increasing defect contrast and mitigating heater variation.
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Thapa, Sunil. "Defects and Ferromagnetism in Transition Metal Doped Zinc Oxide." Bowling Green State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1467319340.

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Fallahiarezoodar, Ali fallahiarezoodar. "PREDICTION AND REDUCTION OF DEFECTS IN SHEET METAL FORMING." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523879307901727.

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Andersson, David. "Modeling of Point Defects in Metals and Metal-Oxygen Compounds from First Principles Calculations." Licentiate thesis, KTH, Materials Science and Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1752.

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Birkhold, Susanne Theresia [Verfasser]. "Defects and Polarization in Metal Halide Perovskites / Susanne Theresia Birkhold." Konstanz : Bibliothek der Universität Konstanz, 2018. http://d-nb.info/1167683579/34.

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Grimes, Robin William. "Quantum mechanical and classical modelling of defects in metal oxides." Thesis, Keele University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375921.

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Uddin, Salah. "Semi-analytical and numerical modeling of microsegregation for solidifying metallic alloys." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=112587.

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In this study, two semi-analytical models of microsegregation were developed to predict the concentration fields of solute in the liquid and solid regions for dendritic solidification of binary metallic alloys. Both models assume that the growing dendrites are cylindrical in shape. This assumption is more realistic compared to the common assumptions of plate-like dendrites that most of the earlier researchers employed in their microsegregation modeling study. The solute redistribution profile, in the developing solid layer, necessary to determine the back diffusion parameter was derived from Fick's second law for the model without coarsening. The application of this parameter in a wide range of conditions and the use of its basic form in the model with coarsening was verified. The concept of coordinate transformation and enhancement of back-diffusion Fourier number were used in deriving the model which took into account the coarsening of dendrites. The models are then extended to deal with rapid solidification, peritectic transformations and multi-component systems and the results were compared with relevant experimental data. A good agreement between the model predictions and experimental results was found.
The second part of this study was focused on developing a fully numerical microsegregation model. The numerical model built upon a previously proposed phase change model which relied upon a coordinate transformation technique. The model was extended to deal with moving boundaries with solute diffusion. A suitable computational procedure was developed to solve the model equations which are strongly coupled to each other. To verify the accuracy of the present algorithm with regard to the capability of tracking the moving interfaces, analytical solution of the Stefan problem was used for verification purposes. A good agreement between the model predictions and the analytical solution was found. Evolution of concentration fields during solidification was calculated in the growing solid as well as in the shrinking liquid regions for rectangular, cylindrical and spherical dendrite geometries. The effects of various cooling conditions and relevant parametric values on microsegregation were analyzed and discussed.
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Books on the topic "Metal defects"

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Steger, Michael. Transition-Metal Defects in Silicon. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35079-5.

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Atlas of enamel defects. 3rd ed. Astwood Bank, Redditch, England: Instute of Vitreous Enamellers, 1995.

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M, Omelʹi͡anovskiĭ Ė. Transition metal impurities in semiconductors. Bristol: A. Hilger, 1986.

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Omelʹi͡anovsʹkyĭ, M. E. Transition metal impurities in semiconductors. Bristol: Hilger, 1986.

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Graff, Klaus. Metal impurities in silicon device fabrication. Berlin: Springer-Verlag, 1995.

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Murakami, Y. Metal fatigue: Effects of small defects and nonmetallic inclusions. Oxford: Elsevier, 2002.

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Graff, Klaus. Metal impurities in silicon-device fabrication. Berlin: Springer-Verlag, 1995.

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M, Predeleanu, ed. Computational methods for predicting material processing defects. Amsterdam: Elsevier, 1987.

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V, Trushin I͡U. Theory of radiation processes in metal solid solutions. Commack, N.Y: Nova Science Publishers, 1995.

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Teplofizicheskie svoĭstva metallov s defektami kristallicheskoĭ reshetki pri nizkikh temperaturakh. Kharʹkov: "Osnova", 1990.

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Book chapters on the topic "Metal defects"

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Fang, Zhenlan, and Qiang Ju. "Role of Defects in Catalysis." In Metal-Organic Frameworks, 341–78. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2018. http://dx.doi.org/10.1002/9783527809097.ch11.

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Berger, Thomas, and Oliver Diwald. "Defects in Metal Oxide Nanoparticle Powders." In Defects at Oxide Surfaces, 273–301. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14367-5_9.

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Mason, T. O. "Electrical Studies of Transition Metal Cation Distribution in Spinels." In Point Defects in Minerals, 69–77. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/gm031p0069.

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Sudakar, C., Shubra Singh, M. S. Ramachandra Rao, and G. Lawes. "The Role of Defects in Functional Oxide Nanostructures." In Functional Metal Oxide Nanostructures, 37–68. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9931-3_3.

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Bentarzi, Hamid. "The MOS Oxide and Its Defects." In Transport in Metal-Oxide-Semiconductor Structures, 17–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16304-3_3.

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Teng, X. M., and L. J. Inglehart. "Characterization of Metal Defects in Insulating Materials." In Photoacoustic and Photothermal Phenomena II, 37–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-540-46972-8_9.

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Corà, Furio, and C. Richard A. Catlow. "QM Study on Transition Metal Perovskites." In Defects and Surface-Induced Effects in Advanced Perovskites, 175–95. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4030-0_19.

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Halbherr, Olesia, and Roland A. Fischer. "Defects and Disorder in MOFs." In The Chemistry of Metal-Organic Frameworks: Synthesis, Characterization, and Applications, 795–822. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2016. http://dx.doi.org/10.1002/9783527693078.ch26.

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Lorraine, Peter W., Ralph A. Hewes, and Denis Drolet. "High Resolution Laser Ultrasound Detection of Metal Defects." In Review of Progress in Quantitative Nondestructive Evaluation, 555–62. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5947-4_73.

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Paidar, Vaclav. "Planar Defects and Dislocations in Transition Metal Disilicides." In PRICM, 431–37. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118792148.ch52.

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Conference papers on the topic "Metal defects"

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SUSLU, Yekta Berk, Mehmet Sirac ACAR, Muammer MUTLU, and Ozgul KELES. "SEMI-SOLID ALUMINUM DIE CASTING PROCESS DESIGN FOR PREVENTING DEFECTS: POROSITY." In METAL 2019. TANGER Ltd., 2019. http://dx.doi.org/10.37904/metal.2019.753.

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ŠPROCH, Filip, Vladimíra SCHINDLEROVÁ, and Ivana ŠAJDLEROVÁ. "Analysis of the Occurrence of defects in bulk or pendant electroplating technology." In METAL 2019. TANGER Ltd., 2019. http://dx.doi.org/10.37904/metal.2019.884.

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Lu, Ting-Yih, Yuan-Ko Hwang, Chia-Hung Lai, Sen-Fu Chen, and Chia-Hsiang Chen. "Metal etch process defects." In Microelectronic Manufacturing Technologies, edited by Kevin Yallup and Murali K. Narasimhan. SPIE, 1999. http://dx.doi.org/10.1117/12.346242.

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Guan, Weihe, Pengju Guo, and Chen Xuedong. "Metal Magnetic Memory Testing Technique for Typical Defects in Pressure Vessels and Pipelines." In ASME 2015 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/pvp2015-45826.

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Metal magnetic memory technique has been extensively applied in different fields due to its unique advantages of time-saving, low cost, and high efficiency. However, very limited research has been carried out on studying the characteristics of metal magnetic memory signals of different defects except crack, and also the effect of orientation angle between testing direction and defect on magnetic memory signals. To promote study in this area, the magnetic memory signals of typical defects (such as crack, slag inclusion) are investigated as well as hydrogen-induced cracking. In addition, the characteristics of magnetic memory signals when measured with different angle between testing direction and defects were obtained. The results indicate that the metal magnetic memory technique is a promising method to detect typical defects of welding and also hydrogen-induced cracking. Moreover, the technique has high sensitivity on defects no matter the angle between testing direction and defect. However, further research is needed because it can only find the possible location of defects but cannot quantitatively describe the defect.
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van der Wel, P. J., J. R. de Beer, R. J. M. van Boxtel, Y. Y. Hsieh, and Y. C. Wang. "Reliability Assessment of Extrinsic Defects in Sinx Metal-Insulator-Metal Capacitors." In 2006 Reliability of Compound Semiconductors Digest. IEEE, 2006. http://dx.doi.org/10.1109/rocs.2006.323402.

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Kaminski, Pawel, Roman Kozlowski, and Andrzej Misiuk. "Electrically active defects in Ni-contaminated Cz-Si with oxygen precipitates." In Metal/Nonmetal Microsystems: Physics, Technology, and Applications, edited by Benedykt W. Licznerski and Andrzej Dziedzic. SPIE, 1996. http://dx.doi.org/10.1117/12.238141.

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Roesch, W. J., and D. J. M. Hamada. "Studying yield and reliability relationships for metal defects." In 2004 ROCS Workshop Proceedings [Reliability of Compound Semiconductors]. IEEE, 2004. http://dx.doi.org/10.1109/rocs.2004.184353.

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Manda, Krishnagoud, and Anders Eriksson. "Simulating Metal Implants in Full Thickness Cartilage Defects." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53235.

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Damage or degeneration in the articular cartilage is a major problem that affects millions of people in the world. The biomechanical forces at a site of damage in the cartilage may make the tissue more susceptible to continued long-term degeneration. Various biological treatments are currently available, but all have drawbacks. Alternatively, a contoured articular resurfacing implant is developed to offer a treatment to such full thickness chondral defects [1,3,4]. The main goal of using metal implants, to fill the degenerated portion of the cartilage, is to seal the surrounding cartilage so that further damage can be prevented, and to re-establish the integrity of the joint articulating surface. Many researchers have studied the safety, feasibility and reliability of the metal implants in animal models from a biological point of view [3,4]. They showed promising results. Till date, the mechanical behavior of cartilages surrounding the implant has not been studied, even in animal models. It is essential to understand the time dependent behavior of the cartilages due to biphasic nature of cartilage. Any protrusion of metal implant into the joint cavity damages the opposing soft tissue [1]. In order to avoid this, the positioning of implant together with the behavior of the cartilages immediately surrounding the implant have to be studied.
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Romney, Matthew, and Adrian Belanger. "Modeling Pipeline Metal Loss Defects at Tool Speed." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78014.

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Accurate defect sizing is crucial for maintaining effective pipeline safety and operation. Under growing pressure from local, national and world organizations, pipeline operators demand improved magnetic flux leakage (MFL) metal-loss sizing accuracy and classification from in-line inspection (ILI) tools. The axial MFL field response in pipeline steel near a metal-loss defect is a very complex phenomenon. Although critical for proper sizing model development, the effects of tool speed due to product flow is very difficult to model during finite element analysis (FEA) and therefore is often overlooked. However, understanding the dynamic MFL response is crucial for proper ILI tool design and the development of accurate defect sizing algorithms. T.D. Williamson (TDW) utilizes dynamic computer simulation modeling, paired with laboratory testing, to develop the complex parametric relationships between metal loss geometry, pipeline material and ILI tool speed. The blend of simulation and physical test results allow for TDW to iterate more quickly across multiple physics variables with simulation models, while maintaining a firm footing in reality with physical test validation. Accurately simulating magnetic field responses of metal loss under dynamic conditions produces the data necessary to identify optimal magnetizer design, including optimizing sensor spacing and placement for metal-loss defect sizing and characterization. This paper will provide an overview of advances in the use of computer simulation modeling for predicting dynamic flux leakage field response. Besides increasing accuracy, results from this work will extend specifications beyond optimal speed ranges and provide the basis for general corrosion profilometry predictions from decomposition of the full MFL signal.
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Valone, Steven M. "Atomistic Models of Point Defects in Plutonium Metal." In PLUTONIUM FUTURES - THE SCIENCE: Third Topical Conference on Plutonium and Actinides. AIP, 2003. http://dx.doi.org/10.1063/1.1594611.

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Reports on the topic "Metal defects"

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Kim, Felix H., and Shawn P. Moylan. Literature review of metal additive manufacturing defects. Gaithersburg, MD: National Institute of Standards and Technology, May 2018. http://dx.doi.org/10.6028/nist.ams.100-16.

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Cox, D. F. Influence of surface defects and local structure on oxygenate reaction pathways over metal oxide surfaces. Office of Scientific and Technical Information (OSTI), July 1992. http://dx.doi.org/10.2172/7163748.

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Manley, Michael. Creation of graphite surface defects via ion bombardment: The origin of active portals and their role in encapsulation of metal nanoparticles. Office of Scientific and Technical Information (OSTI), May 2020. http://dx.doi.org/10.2172/1711426.

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Cox, D. F. Influence of surface defects and local structure on oxygenate reaction pathways over metal oxide surfaces. Progress report, August 1992--July 1993. Office of Scientific and Technical Information (OSTI), July 1993. http://dx.doi.org/10.2172/10117379.

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Cox, D. F. Influence of surface defects and local structure on oxygenate reaction pathways over metal oxide surfaces. Progress report, August 1991--July 1992. Office of Scientific and Technical Information (OSTI), July 1992. http://dx.doi.org/10.2172/10175186.

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Cox, D. F. Influence of surface defects and local structure on acid/base properties and oxidation pathways over metal oxide surfaces. Final report, June 1990--January 1997. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/665931.

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Heinisch, H. L. Simulating the production of free defects in irradiated metals. Office of Scientific and Technical Information (OSTI), July 1994. http://dx.doi.org/10.2172/10119442.

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Salzbrenner, Bradley, Brad Boyce, Bradley Howell Jared, Jeffrey Rodelas, and John Robert Laing. Defect Characterization for Material Assurance in Metal Additive Manufacturing (FY15-0664). Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1237892.

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Bansil, A. Positron studies of defected metals, metallic surfaces. Office of Scientific and Technical Information (OSTI), January 1991. http://dx.doi.org/10.2172/6923887.

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Diaz de la Rubia, T., N. Soneda, and Y. Shimomura. Atomic scale modeling of defect production and microstructure evolution in irradiated metals. Office of Scientific and Technical Information (OSTI), April 1997. http://dx.doi.org/10.2172/543299.

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