Relevant bibliographies by topics / Surface defet

Academic literature on the topic 'Surface defet'

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Published: 14 March 2023

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Journal articles on the topic "Surface defet"

1

Smirnova, O. S., A. G. Grebenyuk, and V. V. Lobanov. "Titanium dioxide defect structures as catalytic sites." Surface 9(24) (December 30, 2017): 44–56. http://dx.doi.org/10.15407/surface.2017.09.044.

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Smirnova, O. V., A. G. Grebenyuk, and V. V. Lobanov. "Effect of zirconium doping on the properties of defect titanium dioxide films: quantum chemical calculations." Surface 11(26) (December 30, 2019): 372–81. http://dx.doi.org/10.15407/surface.2019.11.372.

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Sihang Lü, 吕思航, 丁红昌 Ding Hongchang, 向阳 Xiang Yang, and 刘永坤 Liu Yongkun. "基于迈克耳孙干涉仪的表面焊接缺陷检测." Laser & Optoelectronics Progress 58, no. 19 (2021): 1912005. http://dx.doi.org/10.3788/lop202158.1912005.

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Zhongqin Bi, Zhongqin Bi, Qiancong Wu Zhongqin Bi, Meijing Shan Qiancong Wu, and Wei Zhong Meijing Shan. "Segmentation-based Decision Networks for Steel Surface Defect Detection." 網際網路技術學刊 23, no. 6 (November 2022): 1405–16. http://dx.doi.org/10.53106/160792642022112306022.

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<p>With the advent of the Industrial 4.0 era, deep learning has been continuously applied to the task of surface defect detection, and effective progress has been made. However, the limited number of training samples and high labelling costs are considerable obstacles to the vigorous development of this task. Thus, we explore the use of different numbers of labels with various accuracies during training to achieve the maximum detection accuracy with the lowest cost. Our proposed method includes improved segmentation and decision networks. An attention mechanism is integrated into the segmentation subnetwork. Moreover, atrous convolutions are used in the segmentation and decision subnetworks. In addition, the original loss function is improved. Several experiments are carried out on the Severstal Steel Defect dataset collected in Germany, and the results show that each component improves the detection accuracy by 1% to 2%. Finally, when we add an appropriate number of pixel-level labels in the weakly supervised learning mode, the detection accuracy reaches that of the fully supervised mode with a significantly reduced annotation cost.</p> <p>&nbsp;</p>
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Karpenko, O. S., V. V. Lobanov, and M. T. Kartel. "C1s core-level binding energy shift dependence from carbon atoms position in graphenenanoflakes C96 and polycyclic aromatic hydrocarbon C96H24: a dft study." SURFACE 14(29) (December 30, 2022): 63–77. http://dx.doi.org/10.15407/surface.2022.14.063.

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The hexagon-shape graphene nanoflakes (GNFs) limited by zigzag edges only (with doubly and triply coordinated atoms) have unique increased reactivity. Despite the high systems symmetry (D6h) the Carbon atoms in GNFs occupy non-equivalent positions. Can such physical and chemical characteristics of GNFs, which depend of the atom position in the cluster, definition? This characteristic together with the simplicity of its calculation makes it possible to predict the properties of nanoflakes obtained from GNFs by introducing single and multiatomic vacancies into them or by replacing Carbon atoms with electron withdrawing and electron donating atoms. This characteristic includes the C1s core-level binding energy shifts, the maxima of which characterize the C atoms of a certain type. The proposed work is devoted to quantum chemical calculations of the electronic density of states (DOS) of pristine hexagon-shape GNF C96 (multiplicity, M=5), their saturated counterpart –polycyclic aromatic hydrocarbon(PAH) C96H24 (M=1) and their derivatives with one and two single vacancies in the ground electronic state (GES). All calculations were performed using the density functional theory (DFT) method with the involvement of the valence-split basis set 6-31G (d,p). Systems with open shells were considered using the UB3LYP exchange-correlation functional. The obtained spectra were fitted using Gaussian curve fitting program to determine the binding energy for each peak. The Gaussian function distribution of the theoretically calculated C1s core-level binding energy shifts of GNFs testified the presence of six peaks, each of which refers to a certain type of Carbon atoms. The C1s peak with the highest binding energy (-285.57 eV) is caused by contributions from the doubly coordinated edge cyclic chain (ECC) Carbon atoms. The C1s orbitals of the central hexagon (CHex) atoms and the first cyclic chain (FCC) atoms form delocalized molecular orbitals (MOs) in different parts of the cluster. The analogous spectrum of PAH C96H24 is slightly shifted to the region of lower binding energies and contains only two well-defined peaks. The peak with a higher binding energy (-284.36 eV) is generated by the 1s states of the CHex atoms and the atoms of the FCC, which are bounded to the CHex atoms. The electronic DOS difference in C1s core-level spectra of GNF C96 (M=5) and their saturated counterpart PAH C96H24 is established due to the presence of two weakly bounded π-systems in GNF and common conjugated system in PAH. The electronic DOS of defect-containing cluster C96-1(1) (M=3) (one CHex atom has been removed from the C96nanoflake) is generated by the C1s core-level atoms of the second cyclic chain (SCC), which are located at the different distances from the center of the nanoflake. The peak of the lowest intensity (-284.63 eV) appears in the spectrum as a reflection of the appearance of doubly coordinated Carbon atoms surrounding the single vacancy in the C96-1(1) nanoflake. The analysis of the electronic DOS of the C1s core-level spectrum of the C96-2(1) nanoflakeis shown, that doubly coordinated Carbon atoms, concentrated around two single vacancies, are essentially non-equivalent. If the MO with the lowest binding energy is localized on two of them – the MO with the highest binding energy is localized on the third atoms (one around each single vacancy). The electronic C1s core-level DOS spectrum of defect-containing molecular systems with one C96-1(1)H24 and two C96‑2(1)H24 single vacancies are similar to the analogous spectrum of PAH C96H24. In the first of them – one additional maximum appears due to C1s atoms surrounding the single vacancy. In the second – there are two additional maxima, each of which is generated by C1s core-level atoms adjacent to individual vacancies.
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Strelko, V. V., Yu I. Gorlov, and E. M. Demianenko. "Hyteroatoms Si, P, S as possible factors for the formation of the structure of pyrolyzed carbon materials." Surface 13(28) (December 30, 2021): 47–56. http://dx.doi.org/10.15407/surface.2021.13.047.

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The aim of the study was to investigate the effect of heteroatoms on the deformation of graphene, as well as on the formation of the Stone-Wallace defect. To date, research on processes involving nanocarbon materials is relevant. In particular, in the formation of fullerenes, nanoonions and a number of other carbon nanoforms, the five-membered carbon cycles (pentactagonis) of the hepatogenesis (pentactagon) play the most important role in the curvature of initially flat graphene sheets and the formation of fullerene-like structures in the form of closed, skeletal, macromolecular formations. It should be noted, however, that the Pentagon is not the only factor in distorting the flat structure of graphene sheets in layered carbon materials. Some other defects of the carbon lattice (in particular, seven-membered carbon cycles and heteroatoms of a number of nonmetals with covalent radii exceeding the radius of the carbon atom) may play a similar role to one degree or another. These heteroatoms (primarily Si, P, S) are usually part of the precursors of mineral or vegetable origin and can be embedded in the carbon lattice in the process of coal production. Stone-Wallace there is their mutual compensation and preservation of a flat structure. The calculations were performed using quantum chemical modeling of doped nanographs in clusters of different size, composition and morphology, using the theory of density functional (DFT) with exchange-correlation functional B3LYP, based on the extended valence-split basis 6-31G (d) with full optimism clusters using the Firefly software package. It has been found that heteroatoms of non-metals with covalent radii exceeding the radius of the C atom, which are usually present in the precursors of mineral or vegetable origin used to produce pyrolyzed carbon materials, can play a significant role in energy. a number of nanoforms of carbon, activated carbon and other pyrolyzed nanostructured carbon materials.
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Sigareva, N. V., B. M. Gorelov, and S. V. Shulga. "Еffect of graphene filler oxidation on the thermal destruction of epoxy-graphene composites." Surface 13(28) (December 30, 2021): 166–74. http://dx.doi.org/10.15407/surface.2021.13.166.

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The participation of the electronic subsystem of graphene nanoparticles in heat transfer on the interfaphase surface with epoxy polymer, its participation in the thermodestruction processes of epoxy matrix and the concentration interval of the subsystem's influence on the thermal destruction of the polymer matrix are investigated. For such purpose, epoxy resin composites with oxidized and non-oxidized graphene nanoparticles have been used.The particles were obtained by electrochemical method and those are characterized by the same dispersion and analogical of defect spectra. The particles have the same crystal structure, however in composites with oxidized graphene, the participation of the electronic subsystem in thermophysical processes on the interfacial surface is blocked by the atomic layer of adsorbed oxygen. Сomposites of epoxy resin filled with the same particles of nonoxidized and oxidized nanoparticles in the filler content 0.0, 1.0, 2.0, and 5.0 wt%. The multilayered graphene particles were studied by X-ray diffraction analysis (XRD) and Raman spectroscopy (RS) methods. It was shown that the graphene particles are the 2D dimensional structures with about of 100 layers. Desorption curves of epoxy and its composites have been obtained using a programmable thermal desorption mass-spectroscopic (TDMS) technique for fragments with 15≤ m/z ≤108 and temperature interval 35 - 800 оС. The activation energy of desorption was determined from the Wigner-Polanyi equation as 35 - 150 kJ/mol, temperature and mass dependences of the quantity of desorbed atomic fragments have been calculated. It were established the graphene electron subsystem takes part in polymer structure thermodestruction for epoxy composites with nonoxidized graphene enhancing their heat resistance at graphene content С ≤ 1 wt%. With increasing filler content, the thermodestruction behavior in pristine epoxy and its composites with nonoxidized and oxidized graphene is analogical. The thermodestruction characterizes by the stepwise variations in the desorption intensity of atomic fragments. The electron subsystem of graphene particles does not participate in the heat resistance variations.
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Zhang Kailong, 张凯龙, 钱莉 Qian Li, and 朱春雷 Zhu Chunlei. "基于相位测量偏折法的类镜面缺陷检测." Laser & Optoelectronics Progress 59, no. 5 (2022): 0512004. http://dx.doi.org/10.3788/lop202259.0512004.

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Wang Wei, 王维, 王杰 Wang Jie, 黄易杨 Huang Yiyang, 岳慧敏 Yue Huimin, and 刘永 Liu Yong. "基于偏振透射结构光的透明物体表面缺陷检测方法." Acta Optica Sinica 41, no. 18 (2021): 1812002. http://dx.doi.org/10.3788/aos202141.1812002.

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Chen Chao, 陈超, 张兴媛 Zhang Xingyuan, and 陆思烨 Lu Siye. "基于优化BP神经网络激光超声表面缺陷识别." Laser & Optoelectronics Progress 58, no. 22 (2021): 2228008. http://dx.doi.org/10.3788/lop202158.2228008.

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Dissertations / Theses on the topic "Surface defet"

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Wong, Boon Kwei. "Automatic surface defect recognition and classification." Thesis, University of Sunderland, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283762.

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Tailor, Mitul. "Automatic surface defect quantification in 3D." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/14429.

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Three-dimensional (3D) non-contact optical methods for surface inspection are of significant interest to many industrial sectors. Many aspects of manufacturing processes have become fully automated resulting in high production volumes. However, this is not necessarily the case for surface defect inspection. Existing human visual analysis of surface defects is qualitative and subject to varying interpretation. Automated 3D non-contact analysis should provide a robust and systematic quantitative approach. However, different 3D optical measurement technologies use different physical principles, interact with surfaces and defects in diverse ways, leading to variation in measurement data. Instrument s native software processing of the data may be non-traceable in nature, leading to significant uncertainty about data quantisation. Sub-millimetric level surface defect artefacts have been created using Rockwell and Vickers hardness testing equipment on various substrates. Four different non-contact surface measurement instruments (Alicona InfiniteFocus G4, Zygo NewView 5000, GFM MikroCAD Lite and Heliotis H3) have been utilized to measure different defect artefacts. The four different 3D optical instruments are evaluated by calibrated step-height created using slipgauges and reference defect artefacts. The experimental results are compared to select the most suitable instrument capable of measuring surface defects in robust manner. This research has identified a need for an automatic tool to quantify surface defect and thus a mathematical solution has been implemented for automatic defect detection and quantification (depth, area and volume) in 3D. A simulated defect softgauge with a known geometry has been developed in order to verify the implemented algorithm and provide mathematical traceability. The implemented algorithm has been identified as a traceable, highly repeatable, and high speed solution to quantify surface defect in 3D. Various industrial components with suspicious features and solder joints on PCB are measured and quantified in order to demonstrate applicability.
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Song, Keng Yew. "Surface defect detection on textured background." Thesis, University of Surrey, 1993. http://epubs.surrey.ac.uk/844113/.

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This thesis addresses the problem of defect detection on complex textural surfaces. In general, whether the texture to be inspected is regular or random, in image terms it is characterized by local variations in pixel grey level values. These normal variations render the problem of texture defect detection extremely difficult as defects are often manifested by grey level changes and their detection requires more than mere pixel comparisons. In the thesis, classical techniques on texture representation are studied and various existing texture defect detection algorithms are reviewed. Three novel algorithms have been developed to tackle the problem of defect detection on random or regular textures. The first two are devoted to the problem of crack detection and the third algorithm is devoted to the problem of detecting regional defects. For texture crack detection, a cojoint spatial and spatial frequency representation, that is, wigner distribution is proposed to model the inspected texture surface. A detailed analysis of the wigner distribution, its properties and the effect of windowing on its crack detection performance are carried out. Two postprocessing methods, ie, probabilistic relaxation labelling and linear filtering are incorporated into the crack detection algorithm to refine the results. The potential of the Wigner model has also been explored by modifying the crack detection algorithm so as to detect other types of defects. For real world applications, an efficient crack detection algorithm based on a new distribution is proposed. The algorithm is shown to produce comparable results but in much shorter time. For regional defect detection, a hybrid chromato-structural approach to colour texture representation is proposed where combined colour texture information is extracted from various chromatic classes associated with the inspected surface. In the approach, a unified defect detection framework which combines a new colour clustering scheme, morphological smoothing and blob analysis are used to capture the relevant combined colour texture information. With this framework, good defect detection results are obtained and presented in this thesis.
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Rosli, M. H. "Surface defect characterisation using non-contact ultrasound." Thesis, University of Warwick, 2013. http://wrap.warwick.ac.uk/59439/.

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Electromagnetic acoustic transducers (EMATs) have been used as a non-contact ultrasound approach for detecting and characterising surface defects in aluminium bars and billet. The characterisation was made from understanding the interaction of broadband Rayleigh surface waves with surface crack growing normal or inclined to the sample surface, based on rolling contact fatigue (RCF) cracks in rail tracks. The interaction with normal cracks have been previously reported. For inclined cracks, mode conversion of Rayleigh waves to Lamb-like waves occur in the wedge section formed by the crack, resulting in strong and prominent enhancement in the signal detected. This is confirmed by finite element analysis (FEA) models and Lamb waves arrival times calculation. Signal enhancement from the interaction creates features in B-scan images, and they have been used for initial crack classifications. Then, a number of analyses were performed to estimate the crack inclination, and accurately determine the crack vertical depth. A feature extraction and image classification program based on genetic programming have been developed (through a collaboration work) to perform automated classification on the B-scans. The program produces more than 90% accuracy using the experimental data set. The viability of EMATs to detect and fully characterise narrow cracks have been investigated through experiments using laser interferometer and comparison with EMATs measurements. The results confirmed that narrow cracks can be detected with EMATs, with initial classification (in B-scans) to normal/inclined. However, the depth sizing may not be accurate, and suggestion for better designs of EMATs have been made. FEA models have been used to study the interaction of the Rayleigh waves with branched cracks. Interesting results are observed in terms of Rayleigh waves reflections, which helps to determine the presence of a branch on RCF-like cracks. A method has been proposed for calculating the length of the branch, following a number of analyses.
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Smith, Melvyn Lionel. "The integration of innovative vision and graphic modelling techniques for surface inspection." Thesis, University of the West of England, Bristol, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387938.

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Wilson, Daniel John. "Defect and surface properties of the silver halides." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1446536/.

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In this thesis, state-of-the-art density functional theory calculations have been performed to study a number of properties of the rocksalt-structured silver halides which can broadly be defined as photographically-relevant. These involve point defects and their interaction with free electrons and holes, created upon excitation by actinic light. In our initial calculations, we studied the primary intrinsic point defects within the bulk of the material, in both charged and neutral forms, using the supercell technique. We have correctly predicted the dominance of the Frenkel defect in both AgCl and AgBr, and have found that the lowest energy configuration for the interstitial cation defect in both materials involved a second cation, forming a Ag22+ split-interstitial species, orientated in a 111 direction. We then extended this work by applying a hybrid QM/MM embedding technique to model two systems: the first represented the ideal (100) surface, while the second represented a 'realistic' finite cluster. With the first, we have calculated defect structures and formation energies on the flat surface, and have examined the well-known space-charge layer. With our finite cluster, we studied extended surface defects (steps, kinks etc.) and their interaction with individual point defects. We have also calculated trap depths, and the localisation of holes and electrons at each of the sites. We have determined that, regardless of their location, an electron diffusely localises around the interstitial cation and strongly localises on the anion vacancy, while the corresponding hole becomes trapped around the cation vacancy on a nearest-neighbour cation. However, overall, we consider the positive kink on the surface to be the most likely electron trap, due to its relative abundance and its position within the band gap. Finally, we have investigated the properties of the latent pre-image centre, which plays a key role in the photographic process.
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Outioua, Djedjiga. "Defect-1 Choosability of Graphs on Surfaces." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40568.

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The classical (proper) graph colouring problem asks for a colouring of the vertices of a graph with the minimum number of colours such that no two vertices with the same colour are adjacent. Equivalently the colouring is required to be such that the graph induced by the vertices coloured the same colour has the maximum degree equal to zero. The graph parameter associated with the minimum possible number of colours of a graph is called chromatic number of that graph. One generalization of this classical problem is to relax the requirement that the maximum degree of the graph induced by the vertices coloured the same colour be zero, and instead allow it to be some integer d. For d = 0, we are back at the classical proper colouring. For other values of d we say that the colouring has defect d. Another generalization of the classical graph colouring, is list colouring and its associated parameters: choosability and choice number. The main result of this thesis is to show that every graph G of Euler genus μ is ⌈2 + √(3μ + 3)⌉–choosable with defect 1 (equivalently, with clustering 2). Thus allowing any defect, even 1, reduces the choice number of surface embeddable graphs below the chromatic number of the surface. For example, the chromatic number of the family of toroidal graphs is known to be 7. The bound above implies that toroidal graphs are 5-choosable with defect 1. This strengthens the result of Cowen, Goddard and Jesurum (1997) who showed that toroidal graphs are 5-colourable with defect 1. In a graph embedded in a surface, two faces that share an edge are called adjacent. We improve the above bound for graphs that have embeddings without adjacent triangles. In particular, we show that every non-planar graph G that can be embedded in a surface of Euler genus μ without adjacent triangles, is ⌈(5+ √(24μ + 1)) /3⌉–choosable with defect 1. This result generalizes the result of Xu and Zhang (2007) to all the surfaces. They proved that toroidal graphs that have embeddings on the torus without two adjacent triangles are 4-choosable with defect 1.
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Rashid, Waleed Bin. "Surface defect machining : a new approach for hard turning." Thesis, Heriot-Watt University, 2014. http://hdl.handle.net/10399/2840.

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Hard turning is emerging as a key technology to substitute conventional grinding processes, mainly on account of lower equipment cost, short setup time, and a reduced number of process steps. This is, however, being impeded by a number of challenges required to be resolved, including attainable surface roughness, surface deteriorations, surface residual stresses and metallurgical transformations on the machined steel surface (white layer). In this thesis, a novel approach named Surface Defect Machining (SDM) is proposed as a viable solution to resolve a large number of these issues and to improve surface finish and surface integrity. SDM is defined as a process of machining, where a workpiece is first subjected to surface defects creation at a depth less than the uncut chip thickness; either through mechanical and/or thermal means; then followed by a normal machining operation so as to reduce the cutting resistance. A comprehensive understanding of SDM is established theoretically using finite element method (FEM). Also, an experimental study has been carried out for extensive understanding of the new technique. A good agreement between theoretical and experimental investigations has been achieved. The results show very interesting salient features of SDM, providing favourable machining outcomes. These include: reduced shear plane angle, reduced machining forces, lower residual stresses on the machined surface, reduced tool-chip interface contact length and increased chip flow velocity, as well as reductions in overall temperature in the cutting zone and changing the mechanism of chip morphology from jagged to discontinuous. However, the most prominent outcome is the improved attainable surface roughness. Furthermore, SDM shows the ability to exceed the critical feed rate and achieve an optical surface finish upto 30 nm. A scientific explanation of the improved surface roughness suggests that during SDM, a combination of both the cutting action and the rough polishing action help to improve the machined surface. Based on these findings, it is anticipated that a component machined using the SDM method should exhibit improved quality of the machined surface, which is expected to provide tremendous commercial advantages in the time to come.
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Woodley, Scott Marcus. "A real-space approach to surface and defect states." Thesis, University of Bath, 1997. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338412.

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Ferris, Andrew J. PhD. "Chiral Induction and Defect Structures in Liquid Crystal Systems." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case159293629900968.

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Books on the topic "Surface defet"

1

Peter, Kvam Eric, ed. Defect-interface interactions : symposium held November 29-December 2, 1993, Boston, Massachusetts, U.S.A. Pittsburgh, Pa: Materials Research Society, 1994.

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S, Suresh, ed. Thin film materials: Stress, defect formation and surface evolution. Cambridge: Cambridge University Press, 2003.

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Freund, L. B. Thin film materials: Stress, defect formation, and surface evolution. Cambridge, [England] ; New York: Cambridge University Press, 2009.

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Freund, L. B. Thin film materials: Stress, defect formation, and surface evolution. Cambridge, [England] ; New York: Cambridge University Press, 2009.

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Wang, Hong. Ultrasonic characterization of the root radius of curvature in a surface breaking defect. Ottawa: National Library of Canada, 1994.

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Kienzler, Reinhold. Mechanics in Material Space: With Applications to Defect and Fracture Mechanics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000.

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R, Bodis James, Bishop Chip, and United States. National Aeronautics and Space Administration., eds. Thermographic imaging for high-temperature composite materials: A defect detection study. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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R, Bodis James, Bishop Chip, and United States. National Aeronautics and Space Administration., eds. Thermographic imaging for high-temperature composite materials: A defect detection study. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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Roberts, M. W., and J. M. Thomas. Surface and Defect Properties of Solids 4: Surface and Defect Properties of Solids Volume 4. Royal Society of Chemistry, The, 2007.

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Roberts, M. W., and J. M. Thomas. Surface and Defect Properties of Solids 1: Surface and Defect Properties of Solids Volume 1. Royal Society of Chemistry, The, 2007.

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Book chapters on the topic "Surface defet"

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Reitinger, Rüdiger, B. Pfau, L. M. Stadler, S. Stankov, M. Zajac, N. Spiridis, B. Sepiol, F. Zontone, and J. Korecki. "Surface Diffusion and Island Growth." In Defect and Diffusion Forum, 177–82. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/3-908451-35-3.177.

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Gurylev, Vitaly. "Bulk vs Surface Defects." In Nanostructured Photocatalyst via Defect Engineering, 73–101. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81911-8_3.

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Soni, Nishant G., Angelique Pillar, Jordan Margo, and Bennie H. Jeng. "Management of the Persistent Corneal Epithelial Defect." In Ocular Surface Disease, 221–31. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-15823-5_15.

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Lapujoulade, J. "Defect Structures at Surfaces." In Interaction of Atoms and Molecules with Solid Surfaces, 381–405. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-8777-0_12.

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Hands, G., and T. Armitt. "Surface and internal defect detection." In Handbook of Condition Monitoring, 102–35. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4924-2_5.

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Kienzler, R., and R. Schröder. "On Influence Surfaces in Material Space." In Defect and Material Mechanics, 81–89. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51632-5_7.

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Cibert, J., and S. Tatarenko. "The Surface Structure of a II-VI Compound: CdTe." In Defect and Diffusion Forum, 1–34. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/3-908450-97-7.1.

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Gershman, Evgeny, and Sergey Zhevnenko. "Grain Boundary Surface Tension, Segregation and Diffusion in Cu-Sn System." In Defect and Diffusion Forum, 39–46. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/3-908451-41-8.39.

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Kaganovskii, Yu, L. N. Paritskaya, and V. V. Bogdanov. "Lateral Diffusion Spreading of Two Competitive Intermetallic Phases over Free Surface." In Defect and Diffusion Forum, 9–20. Stafa: Trans Tech Publications Ltd., 2008. http://dx.doi.org/10.4028/3-908451-55-8.9.

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Louban, Roman. "Defect Detection on an Edge." In Image Processing of Edge and Surface Defects, 31–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00683-8_3.

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Conference papers on the topic "Surface defet"

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Stephens, Stone K., Kirk A. Ingold, Michael J. Pfenning, and James J. Raftery. "Beam propagation study of on-wafer multiple-defect photonic crystal VCSEL arrays." In Vertical-Cavity Surface-Emitting Lasers XXV, edited by Kent D. Choquette and Chun Lei. SPIE, 2021. http://dx.doi.org/10.1117/12.2582531.

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Sagar, Parth, Shashank Singh, Anshu Dwivedi, Rushab Khopade, and Yogesh Digambar. "Metal Surface Defect Detection." In 2019 IEEE Pune Section International Conference (PuneCon). IEEE, 2019. http://dx.doi.org/10.1109/punecon46936.2019.9105911.

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Zhang, Zizhuo, Jun Xu, Song Wang, Feng Li, and Qiang Ling. "A Learning-Based Surface Defect Detection Method for Internal Surfaces of Bellows." In 2021 33rd Chinese Control and Decision Conference (CCDC). IEEE, 2021. http://dx.doi.org/10.1109/ccdc52312.2021.9601703.

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Zvonkov, Alexander D., and H. M. Boranbaeva. "Process of defect formation and diffusion in metals induced by laser radiation." In 1st Intl School on Laser Surface Microprocessing, edited by Ian W. Boyd, Vitali I. Konov, and Boris S. Luk'yanchuk. SPIE, 1990. http://dx.doi.org/10.1117/12.23709.

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Khan, S., and D. Jana. "Determination of Lattice-constant and Defect-density of Alkali Halide without X-ray Diffraction." In 1st Indian Near Surface Geophysics Conference & Exhibition. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201979058.

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Li, Ruoming. "Metal surface defect detection based on few defect datasets." In 2019 5TH INTERNATIONAL CONFERENCE ON GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS (GPMMTA 2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5137871.

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Petite, Guillaume, C. Itoh, Philippe Martin, and Stephane Guizard. "Subpicosecond optical studies of charge trapping and defect creation in wide-bandgap materials." In ALT '97 International Conference on Laser Surface Processing, edited by Vladimir I. Pustovoy. SPIE, 1998. http://dx.doi.org/10.1117/12.308608.

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Albert, F., Philippe Zeitoun, Denis Joyeux, Mustapha Boussoukaya, Antoine Carillon, S. Hubert, Pierre Jaegle, et al. "Surface defect induced by strong electric field probed by soft x-ray laser interferometry." In ALT '97 International Conference on Laser Surface Processing, edited by Vladimir I. Pustovoy. SPIE, 1998. http://dx.doi.org/10.1117/12.308642.

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Chang, Chun-Li, Wen-Hong Wu, Chun-Jen Chen, and Hung-Ji Huang. "Surface defect inspection for power inductor." In International Conference on Optics in Precision Engineering and Nanotechnology (icOPEN2013), edited by Chenggen Quan, Kemao Qian, and Anand Asundi. SPIE, 2013. http://dx.doi.org/10.1117/12.2019346.

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Huang, Yibin, Congying Qiu, Yue Guo, Xiaonan Wang, and Kui Yuan. "Surface Defect Saliency of Magnetic Tile." In 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE). IEEE, 2018. http://dx.doi.org/10.1109/coase.2018.8560423.

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Reports on the topic "Surface defet"

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Joannopoulos, John D. Surface and Defect Excitations in Covalently Bonded Solids. Fort Belvoir, VA: Defense Technical Information Center, November 1992. http://dx.doi.org/10.21236/ada257815.

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Robinson, T. O. Preparation and characterization of low-defect surfaces. Office of Scientific and Technical Information (OSTI), December 1991. http://dx.doi.org/10.2172/5008282.

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Robinson, Timothy Oren. Preparation and characterization of low-defect surfaces. Office of Scientific and Technical Information (OSTI), December 1991. http://dx.doi.org/10.2172/10160824.

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Allain, Jean Paul. Advanced grazing-emission X-ray fluorescence spectroscopy with small-angle neutron scattering for in-vivo surface composition and defect/morphology surface evolution in tokamak PMI. Office of Scientific and Technical Information (OSTI), January 2020. http://dx.doi.org/10.2172/1596402.

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Ruehlicke, C., M. A. Briere, and D. Schneider. AFM studies of a new type of radiation defect on mica surfaces caused by highly charged ion impact. Office of Scientific and Technical Information (OSTI), September 1994. http://dx.doi.org/10.2172/71369.

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Delwiche, Michael, Yael Edan, and Yoav Sarig. An Inspection System for Sorting Fruit with Machine Vision. United States Department of Agriculture, March 1996. http://dx.doi.org/10.32747/1996.7612831.bard.

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Concepts for real-time grading of fruits and vegetables were developed, including multi-spectral imaging with structured illumination to detect and distinguish surface defects from concavities. Based on these concepts, a single-lane conveyor and inspection system were designed and evaluated. Image processing algorithms were developed to inspect and grade large quasi-spherical fruits (peaches and apples) and smaller dried fruits (dates). Adjusting defect pixel thresholds to achieve a 25% error rate on good apples, classification errors for bruise, crack, and cut classes were 51%, 42%, and 46%, respectively. Comparable results for bruise, scar, and cut peach clases were 48%, 22%, and 58%, respectively. Acquiring more than two images of each fruit and using more than six lines of structured illumination per fruit would reduce sorting errors. Doing so, potential sorting error rates for bruise, crack, and cut apple classes were estimated to be 38%, 38%, and 33%, respectively. Similarly, potential error rates for the bruitse, scar, and cut peach classes were 9%, 3%, and 30%, respectively. Date size classification results were good: 68% within one size class and 98% within two size classes. Date quality classification results were not adequate due to the problem of blistering. Improved features were discussed. The most significant contribution of this research was the on-going collaboration with producers and equipment manufacturers, and the resulting transfer of research ideas to expedite the commercial application of machine vision for postharvest inspection and grading of agricultural products.
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Burks, Thomas F., Victor Alchanatis, and Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, October 2009. http://dx.doi.org/10.32747/2009.7591739.bard.

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The proposed project aims to enhance tree fruit identification and targeting for robotic harvesting through the selection of appropriate sensor technology, sensor fusion, and visual servo-control approaches. These technologies will be applicable for apple, orange and grapefruit harvest, although specific sensor wavelengths may vary. The primary challenges are fruit occlusion, light variability, peel color variation with maturity, range to target, and computational requirements of image processing algorithms. There are four major development tasks in original three-year proposed study. First, spectral characteristics in the VIS/NIR (0.4-1.0 micron) will be used in conjunction with thermal data to provide accurate and robust detection of fruit in the tree canopy. Hyper-spectral image pairs will be combined to provide automatic stereo matching for accurate 3D position. Secondly, VIS/NIR/FIR (0.4-15.0 micron) spectral sensor technology will be evaluated for potential in-field on-the-tree grading of surface defect, maturity and size for selective fruit harvest. Thirdly, new adaptive Lyapunov-basedHBVS (homography-based visual servo) methods to compensate for camera uncertainty, distortion effects, and provide range to target from a single camera will be developed, simulated, and implemented on a camera testbed to prove concept. HBVS methods coupled with imagespace navigation will be implemented to provide robust target tracking. And finally, harvesting test will be conducted on the developed technologies using the University of Florida harvesting manipulator test bed. During the course of the project it was determined that the second objective was overly ambitious for the project period and effort was directed toward the other objectives. The results reflect the synergistic efforts of the three principals. The USA team has focused on citrus based approaches while the Israeli counterpart has focused on apples. The USA team has improved visual servo control through the use of a statistical-based range estimate and homography. The results have been promising as long as the target is visible. In addition, the USA team has developed improved fruit detection algorithms that are robust under light variation and can localize fruit centers for partially occluded fruit. Additionally, algorithms have been developed to fuse thermal and visible spectrum image prior to segmentation in order to evaluate the potential improvements in fruit detection. Lastly, the USA team has developed a multispectral detection approach which demonstrated fruit detection levels above 90% of non-occluded fruit. The Israel team has focused on image registration and statistical based fruit detection with post-segmentation fusion. The results of all programs have shown significant progress with increased levels of fruit detection over prior art.
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