Relevant bibliographies by topics / Transformation texture

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Transformation texture'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Transformation texture"

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Volkova, Natalya P., and Viktor N. Krylov. "VECTOR-DIFFERENCE TEXTURE SEGMENTATION METHOD IN TECHNICAL AND MEDICAL EXPRESS DIAGNOSTIC SYSTEMS." Herald of Advanced Information Technology 3, no. 4 (November 20, 2020): 226–39. http://dx.doi.org/10.15276/hait.04.2020.2.

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The study shows the need for express systems, in which it is necessary to perform the analysis of texture images in various areas of diagnosis, for example, in medical express diagnostics of dermatologic disorders. Since the reliability of decision-making in such systems depends on the quality of image segmentation, which, as a rule, have the nature of spectral-statistical textures, it is advisable to develop methods for segmentation of such images and models for their presentation. A model of spectral-statistical texture is proposed, which takes into account the random nature of changes in the field variations and quasi-harmonics. On its basis, a vector-difference method of texture segmentation has been developed, which is based on the vector transformation of images of spectral and statistical textures based on vector algebra. The stages of the vector-difference method are the following: an evaluation of the spectral texture feature; an evaluation of the statistical texture feature; vector-difference transformation of texture images; a boundary detection of the homogeneous regions. For each pixel of the image in the processing aperture, the features of the spectral and statistical texture are evaluated. Statistical texture evaluation was performed by the quadratic-amplitude transformation. At the stage of vector-difference transformation of texture images, a vector of features of each pixel of an image is constructed, the elements of which are estimates of features of a spectral and statistical texture, and the modulus of the difference of two vectors is calculated. At the stage of boundary detection of homogeneous regions, Canny method was applied. The developed vector-difference texture segmentation method was applied both to model images of spectral-statistical texture and to texture images obtained in technical and medical diagnostics systems, namely, for images of psoriasis disease and wear zones of cutting tools. To compare the segmentation results, frequency-detector and amplitude-detector methods of texture segmentation were applied to these images. The quality of segmentation of homogeneous textured regions was evaluated by the Pratt's criterion and by constructing a confusion matrix. The research results showed that the developed vector-difference texture segmentation method has increased noise tolerance at a sufficient processing speed.
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Cabus, C., H. Regle, and B. Bacroix. "Phases transformation textures in steels." Journal de Physique IV 120 (December 2004): 137–44. http://dx.doi.org/10.1051/jp4:2004120015.

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Low-carbon steels used for deep-drawability applications have properties which depend greatly on their crystallographic texture. It is therefore important to control the texture evolution during the thermomechanical processing. Until recently, little attention has been paid on the understanding of the textures formation after hot-rolling, which are produced by phase transformation, although it is recognised that they have an effect on the development of the texture in the further process (cold rolling and annealing). Indeed, one of the main difficulties consists in the measurement of texture above ambient temperature, in the austenite range. In the present work, EBSD technique is employed on a low-C steel and a method is proposed to determine local austenite orientation thanks to martensitic one, even if there is no residual austenite in the steel. The orientation relationships between the austenite phase and each of its product phases, here martensite and polygonal ferrite, are analysed and compared. Common Kurdjumov Sachs variants are detected for both phases. Variations in the intensities of these variants are also detected and could be due to the different phase transformation mechanisms, diffusion or shear.
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Ray, R. K., Ph Chapellier, and J. J. Jonas. "Correlations Between the Rolling Textures in FCC Ni–Co Alloys and the BCC Transformation Textures in Controlled Rolled Steels." Textures and Microstructures 12, no. 1-3 (January 1, 1990): 141–53. http://dx.doi.org/10.1155/tsm.12.141.

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Three fcc Ni–Co alloys with different stacking fault energies (SFE's) were cold rolled 95% and their textures were characterized by the orientation distribution function (ODF) method. BCC transformation textures were calculated from these experimental textures using three different orientation relationships for the γ→α transformation. The transformed ODF's derived from the Bain relationship were much sharper than the ones deduced from the Kurdjumov–Sachs (K–S) or the Nishiyama–Wassermann (N–W) relations. The ferrite texture determined on a controlled rolled steel, heavily deformed in the unrecrystallized γ region, agrees reasonably well with the bcc texture calculated using the K–S relation from the rolled Ni–Co alloy with similar SFE. The major texture components of the ferrite, namely {332}〈113〉 and {311}〈011〉, are found to originate from the two major rolling texture components of the austenite, i.e. the {110}〈112〉(Bs) and {112}〈111〉(Cu), respectively. Such ferrite transformation from heavily deformed austenite seems to follow the K–S relationship without any variant selection. By contrast, the texture of the martensite produced from deformed austenite appears to involve significant amounts of variant selection.
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Bhadeshia, Harshad K. D. H. "Multiple, Simultaneous, Martensitic Transformations: Implications on Transformation Texture Intensities." Materials Science Forum 762 (July 2013): 9–13. http://dx.doi.org/10.4028/www.scientific.net/msf.762.9.

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A Theory is Developed for Martensite Variants that have Different Start Temperatures but Existin the same Steel. Themethod Enables the Volume Fractions of each Kind Ofmartensite to be Followed Asa Function of the Steel Temperature. the Problemis Relevant to the Calculation of Detail in Transformationtexture when Phase Changes Occur under the Influence of External Stress. it should Allow for the Firsttime, the Estimation of both the Location of Crystallographic Poles on a Stereographic Projection, Andthe Diffraction Intensity Associated with that Location. it is Found that the Increment of Transformationas a Function of Undercooling is Identical for all Variants, once Simultaneous Transformation Begins.Any Variance in the Absolute Fractions is due to the Differences in the Martensite-Start Temperature.
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Feng, Zhao Wei, Xu Jun Mi, Jiang Bo Wang, Zhi Shan Yuan, and Jin Zhou. "Effect of Annealing Temperature on the Transformation Temperature and Texture of Ni47Ti44Nb9 Cold-Rolled Plate." Advanced Materials Research 557-559 (July 2012): 1281–87. http://dx.doi.org/10.4028/www.scientific.net/amr.557-559.1281.

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Transformation behaviors and texture of Ni47Ti44Nb9 cold-rolled plates were studied by differential scanning calorimetry and X-ray diffraction test. R phase transformation does not occur in Ni47Ti44Nb9cold-rolled plate annealed at 350°C-750°C followed by quenching into the water. Martensite transformation temperature first increases and then decreases with increment of annealing temperature, and the maximum achieves at 700°C. The heat of reverse martensite transformation increases, while hardness decreases as annealing temperature increases. The major texture of cold-rolled plate is {332} and spread from {332} to {110}. When the annealing temperature is above 600°C, the major textures are {332} and {111} recrystallization texture in secondary cold-rolled plate.
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Wei, Zigan, Ping Yang, Xinfu Gu, Yusuke Onuki, and Shigeo Sato. "Transformation textures in pure titanium: Texture memory vs surface effect." Materials Characterization 164 (June 2020): 110359. http://dx.doi.org/10.1016/j.matchar.2020.110359.

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Reher, F. R., W. Hänel, U. Czubayko, and Günter Gottstein. "High Temperature Texture Goniometer for the Measurement of Transformation Textures." Materials Science Forum 157-162 (May 1994): 181–86. http://dx.doi.org/10.4028/www.scientific.net/msf.157-162.181.

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Gautam, Jai, Alexis G. Miroux, Jaap Moerman, Carla Barbatti, and Leo Kestens. "Texture Evolution during Cold Rolling and Annealing in Dual Phase Steels." Materials Science Forum 702-703 (December 2011): 778–81. http://dx.doi.org/10.4028/www.scientific.net/msf.702-703.778.

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This paper investigates the bulk texture evolution during cold rolling and annealing of Dual Phase steels for different processing conditions, i.e. cold reduction within the reduction range of 45 to 73% and annealing at temperatures between 650 and 850°C, which includes the recovery, recrystallisation and partial phase transformation domains. Textures have been measured by X-ray diffraction. The results reveal that the rolling texture is strengthened during the recovery process or initial stage of recrystallisation while during recrystallisation a weak RD-ND type of texture appears. During subsequent phase transformation the RD-ND type of texture further weakens and later randomises as the second phase fraction increases beyond 75%.
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Dinh, Huong Quynh, Anthony Yezzi, and Greg Turk. "Texture transfer during shape transformation." ACM Transactions on Graphics 24, no. 2 (April 2005): 289–310. http://dx.doi.org/10.1145/1061347.1061353.

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Bourque, Eric, and Gregory Dudek. "Procedural Texture Matching and Transformation." Computer Graphics Forum 23, no. 3 (September 2004): 461–68. http://dx.doi.org/10.1111/j.1467-8659.2004.00777.x.

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Dissertations / Theses on the topic "Transformation texture"

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Bourque, Eric. "Image-based procedural texture matching and transformation." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100327.

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In this thesis, we present an approach to finding a procedural representation of a texture to replicate a given texture image which we call image-based procedural texture matching. Procedural representations are frequently used for many aspects of computer generated imagery, however, the ability to use procedural textures is limited by the difficulty inherent in finding a suitable procedural representation to match a desired texture. More importantly, the process of determining an appropriate set of parameters necessary to approximate the sample texture is a difficult task for a graphic artist.
The textural characteristics of many real world objects change over time, so we are therefore interested in how textured objects in a graphical animation could also be made to change automatically. We would like this automatic texture transformation to be based on different texture samples in a time-dependant manner. This notion, which is a natural extension of procedural texture matching, involves the creation of a smoothly varying sequence of texture images, while allowing the graphic artist to control various characteristics of the texture sequence.
Given a library of procedural textures, our approach uses a perceptually motivated texture similarity measure to identify which procedural textures in the library may produce a suitable match. Our work assumes that at least one procedural texture in the library is capable of approximating the desired texture. Because exhaustive search of all of the parameter combinations for each procedural texture is not computationally feasible, we perform a two-stage search on the candidate procedural textures. First, a global search is performed over pre-computed samples from the given procedural texture to locate promising parameter settings. Secondly, these parameter settings are optimised using a local search method to refine the match to the desired texture.
The characteristics of a procedural texture generally do not vary uniformly for uniform parameter changes. That is, in some areas of the parameter domain of a procedural texture (the set of all valid parameter settings for the given procedural texture) small changes may produce large variations in the resulting texture, while in other areas the same changes may produce no variation at all. In this thesis, we present an adaptive random sampling algorithm which captures the texture range (the set of all images a procedural texture can produce) of a procedural texture by maintaining a sampling density which is consistent with the amount of change occurring in that region of the parameter domain.
Texture transformations may not always be contained to a single procedural texture, and we therefore describe an approach to finding transitional points from one procedural texture to another. We present an algorithm for finding a path through the texture space formed from combining the texture range of the relevant procedural textures and their transitional points.
Several examples of image-based texture matching, and texture transformations are shown. Finally, potential limitations of this work as well as future directions are discussed.
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Kundu, Saurabh. "Transformation strain and crystallographic texture in steels." Thesis, University of Cambridge, 2007. https://www.repository.cam.ac.uk/handle/1810/218329.

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The transformation strain associated with displacive phase transformations can be utilised to improve mechanical properties of structural components in steels. The advantages of the transformation plasticity can be fully utilised by allowing the transformation to occur under the influence of external stress or strain. In this thesis, mathematical models have been formulatedto calculate the transformation strain and texture during martensitic and bainitic transformations. The models are able to deal with a variety of complexities including various starting austenite textures and different states of externally applied stress. A variant selection model has been proposed based on Patel and Cohen's theory and the effect of variant selection on the transformation strain and texture has been discussed in detail. A new theory has been proposed to calculate the extent of variant selection. An attempt has been made to separate the effects of stress and strain on transformation plasticity and variantselection. It has been shown that Patel and Cohen's plastic strain theory is more suitable than the elastic infinitesimal strain deformation model to calculate the interaction energies between crystallographic variants and external load. Using theoretical knowledge and with the help of a neural network model, new alloys have been prepared to be used as the welding filler metals to reduce the residual stress and to achieve higher toughness. Neutron diffraction studies have revealed that newly developed filler metals do indeed reduce the residual stress. Synchrotron X-ray data have been utilised to determine the texture of austenite and martensite as transformation occurs under load. A mathematical model has been developed to predict the Debye diffraction patterns observed experimentally.
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Leng, Xiaoling. "Analysis of some textured images by transputer." Thesis, University of Glasgow, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324405.

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Humbert, Michel. "Un nouveau modèle de transformation de texture avec sélection des variantes : application à la transformation martensitique." Metz, 1987. http://docnum.univ-lorraine.fr/public/UPV-M/Theses/1987/Humbert.Michel.SMZ8718.pdf.

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Dans les transformations de phases (notament martensitiques) de l'Etat solide, la texture cristallographique de la phase finale dépend de la texture de la phase initiale. Cependant les relations d'orientations (variantes) observées dans la transformation du monocristal ne permettent généralement pas de prédire seules la texture de la phase finale à partir de la texture de la phase initiale. En effet, de nombreux facteurs tels que les contraintes internes présentes avant transformation (ou engendrées par cette dernière) peuvznt concourir à une sélection des variantes. Nous proposons dans ce travail un modèle de transfomation de textures qui tient compte de la sélection des variantes en introduisant une fonction de sélection des variantes qui décrit du point de vue cristallographique l'effet des "champs physiques" sur la transformation. Cette expression analytique qui se présente sous la forme d'une intégrale de convolution permet, sous certaines conditions, de déterminer la fonction de sélection des variantes à partir des fonctions de texture des phases initiale et finale. C'est ainsi que nous avons pu obtenir les fonctions de sélection des variantes à partir des fonctions de textures de tôles de Fe3ONi laminées dans différentes conditions. Cette façon d'utiliser le modèle de transformation offre la perspective d'établir "un catalogue" de fonctions de sélection des variantes associées à des champs physiques et devrait ainsi permettre de cerner, par comparaison, les paramètres prépondérants qui gouvernant la transformation. Cependant l'application la plus directe du modèle de transformation est la prédiction de la texture de la phase martensitique connaissant la texture de la phase austénitique et la fonction de sélection des variantes. Ce modèle de transformation a été ainsi utilisé pour tester des hypothèses physiques sur la transformation martensitique d'échantillons de tôles laminées de Fe3ONi à textures complexes décrites du point de vue cristallographique par des fonctions de sélection des variantes. Les écarts entre la texture simulée et la texture expérimentale constituent un test de validité de l'hypothèse proposée. Nous avons pu ainsi montrer que pour une grande partie de la population des grains, les variantes formées étaient celles qui assuraient la déformation minimale dans le plan de la tôle. Des études systèmatiques de morphologie et de dilatométrie devraient conforter ce résultat
In the phase transformation of the solid state (especially the martensitic ones), the crystallographic texture of the final phase depends on the texture of the initail phase. However, the orientation relations (variants), which are observed in the transformation of the monocrystal, are in general not sufficient to predict the texture of the final phase from the texture of the initial phase. Indeed, many factors such as internal stresses, which are present before the transformation (or caused by the latter), can work towards a selection of variants. In this work we propose a model of texture transformation, which takes into account the selection of variants, by introoducing a variant selection function which describes, the effect of the "physical fields" on the transformation from the crystallographic point of view. This analytic expression, which is represented by a convolution integral, makes it possible, under certain conditions, to determine the variant selection function from the functions of the textures of the initial and final phases. So we obtained the variant selection functions from the functions of the texture of Fe3ONi sheets rolled in different conditions. This way of using the midel of transformation enables us to establish a "catalog" of variant selection functions which are associated to physical fields and this should make it possible to distinguish, by comparison, the main parameters, which rule the transformation. However, the most direct apllication of this transformation model is the prediction of the texture of the martensitic phase, the texture of the austenitic phase and the variant selection function being known. This model of transformation has also been used to test physical assumptions on the martensitic transformation of samples of rolled Fe3ONi sheets with complex textures, which are described from the crystallographic point of view by variant selection functions. The differences between the simulated texture and the experimental one constitute a test of validity of the proposed assumption. Thus we showed that for a large part of the grain population, the formed variants were those, which ensure the minimal deformation in the sheet plane. Systematical studies of morphology and dilatometry should confirm this result
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Humbert, Michel. "Un Nouveau modèle de transformation de texture avec sélection des variantes application à la transformation martensitique /." Grenoble 2 : ANRT, 1987. http://catalogue.bnf.fr/ark:/12148/cb37605996x.

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Humbert, Michel ESLING MICHEL. "UN NOUVEAU MODELE DE TRANSFORMATION DE TEXTURE AVEC SELECTION DES VARIANTES : APPLICATION A LA TRANSFORMATION MARTENSITIQUE /." [S.l.] : [s.n.], 1987. ftp://ftp.scd.univ-metz.fr/pub/Theses/1987/Humbert.Michel.SMZ8718.pdf.

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Loh, Angeline M. "The recovery of 3-D structure using visual texture patterns." University of Western Australia, 2006. http://theses.library.uwa.edu.au/adt-WU2006.0101.

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[Truncated abstract] One common task in Computer Vision is the estimation of three-dimensional surface shape from two-dimensional images. This task is important as a precursor to higher level tasks such as object recognition - since shape of an object gives clues to what the object is - and object modelling for graphics. Many visual cues have been suggested in the literature to provide shape information, including the shading of an object, its occluding contours (the outline of the object that slants away from the viewer) and its appearance from two or more views. If the image exhibits a significant amount of texture, then this too may be used as a shape cue. Here, ‘texture’ is taken to mean the pattern on the surface of the object, such as the dots on a pear, or the tartan pattern on a tablecloth. This problem of estimating the shape of an object based on its texture is referred to as shape-form-texture and it is the subject of this thesis . . . The work in this thesis is likely to impact in a number of ways. The second shape-form-texture algorithm provides one of the most general solutions to the problem. On the other hand, if the assumptions of the first shape-form-texture algorithm are met, this algorithm provides an extremely usable method, in that users should be able to input images of textured objects and click on the frontal texture to quickly reconstruct a fairly good estimation of the surface. And lastly, the algorithm for estimating the transformation between textures can be used as a part of many shape-form-texture algorithms, as well as being useful in other areas of Computer Vision. This thesis gives two examples of other applications for the method: re-texturing an object and placing objects in a scene.
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Fuchs, Alexander. "Application of microstructural texture parameters to diffusional and displacive transformation products." Thesis, University of Birmingham, 2005. http://etheses.bham.ac.uk//id/eprint/212/.

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The measurement of materials properties and the control of processing parameters is important for both materials development and quality control. Determination of these parameters is sometimes advantageous if done by means of microstructural characterisation as here additional information may be gained from the sample. These values, e.g. the grain size or the volume fraction of the present microconstituents, may allow the correlation with mechanical properties or processing properties. Unfortunately, the diffusional and displacive transformation products, martensite and bainite, exhibit very fine microstructures with a low contrast, so that conventional microstructural image analysis cannot be applied readily to distinguish these structures. As an alternative microstructural characterisation technique texture analysis based on Haralick parameters calculated from second order grey value statistics was successfully applied. It has been shown that the analysis of large sample areas can be done automatically enabling the correlation of the texture data with the respective local microhardness using a neural network. The analysis is limited due to the dependence of the texture parameters on preparation and imaging conditions. A more detailed understanding of the individual Haralick parameters will be the basis to extend the method to a correlation with other properties of the sample that may be not easily accessible by physical testing, such as toughness.
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Romero, Ospina Javier Ernesto. "Texture evolution during beta-quenching of a zirconium alloy." Thesis, University of Manchester, 2010. https://www.research.manchester.ac.uk/portal/en/theses/texture-evolution-during-betaquenching-of-a-zirconium-alloy(bc5fc24d-f5dd-4074-b2ae-a7cf1a8bae7e).html.

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Zirconium alloys are widely used by the nuclear industry as fuel cladding and structural materials. Many physical and metallurgical properties of zirconium alloys, that are important for their performance in nuclear reactors, are affected by crystallographic texture due to the strong anisotropy of individual crystals. Irradiation assisted growth is one example. Zirconium crystals deform anisotropically under irradiation, which in the presence of strong textures (like the ones observed in cold-rolled sheet) causes undesirable deformation of components during service. For this reason, the nuclear industry is interested in developing thermomechanical processes that produce random textures, taking advantage of the allotropic phase transformation undergone by zirconium, from the low temperature hcp alpha-phase to the high temperature bcc beta-phase. One of these processes is beta-quenching, which has showed certain success in weakening strong rolling textures. However, there is no consensus about the fundamental mechanisms involved.The aim of this work is to study the evolution of the texture of the zirconium alloy Zircaloy-2 during beta-quenching, in order to gain understanding on the mechanisms involved on texture development and evolution during the alpha-to-beta and beta-to-alpha phase transformations. Firstly industrially beta-quenched samples were characterised using well known techniques such as laboratory X-ray diffraction (LXRD) and electron backscatter diffraction (EBSD), which revealed a relationship between peak temperature and the inherited alpha texture. An in situ synchrotron X-ray diffraction (SXRD) experiment provided, for the first time, information of texture evolution of zirconium during rapid changes and at non-ambient conditions. Different peak temperatures and stress/strain conditions were tested. Detailed post mortem EBSD characterisation of samples studied in situ provided insight on the relationship between the microstructure and the texture. Finally, laboratory furnaces were used to beta-quench samples at very high temperature. It was found that there is selection of orientation variants during beta-quenching of zirconium, but while the selection during the alpha-to-beta transformation is almost negligible, depending on the texture evolution of the beta-phase (affected by grain growth and/or plastic deformation), diverse mechanisms of variant selection act during the beta-to-alpha phase transformation. The inherited textures observed result from the combination of these mechanisms. Some of the results of this work can be transferred to other systems such as titanium and the alpha-gamma-alpha phase transformation in steel.
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Liao, Wei-Hsiang. "Modelling and transformation of sound textures and environmental sounds." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066725/document.

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Le traitement et la synthèse des sons environnementaux sont devenue un sujet important. Une classe des sons, qui est très important pour la constitution d'environnements sonore, est la classe des textures sonores. Les textures sonores sont décrit par des relations stochastiques et qui contient des composantes non-sinusoïdales à caractère fortement bruité. Il a été montré récemment que la reconnaissance de textures sonores est basée sur des mesures statistiques caractérisant les enveloppes dans les bandes critiques. Il y actuellement très peu d'algorithmes qui permettent à imposer des propriétés statistiques de façon explicite lors de la synthèse de sons. L'algorithme qui impose l'ensemble de statistique qui est perceptivement relevant pour les textures sonore est très couteuse en temps de calcul. Nous proposons une nouvelle approche d'analyse-synthèse qui permet une analyse des statistiques relevant et un mécanisme efficace d'imposer ces statistiques dans le domaine temps-fréquence. La représentation temps-fréquence étudié dans cette thèse est la transformée de Fourier à court terme. Les méthodes proposées par contre sont plus générale et peuvent être généralisé à d'autres représentations temps-fréquence reposant sur des banques de filtres si certaines contraintes sont respectées. L'algorithme proposé dans cette thèse ouvre plusieurs perspectives. Il pourrait être utilisé pour générer des textures sonores à partir d'une description statistique créée artificiellement. Il pourrait servir de base pour des transformations avancées comme le morphing, et on pourrait aussi imaginer à utiliser le modèle pour développer un contrôle sémantique de textures sonores
The processing of environmental sounds has become an important topic in various areas. Environmental sounds are mostly constituted of a kind of sounds called sound textures. Sound textures are usually non-sinusoidal, noisy and stochastic. Several researches have stated that human recognizes sound textures with statistics that characterizing the envelopes of auditory critical bands. Existing synthesis algorithms can impose some statistical properties to a certain extent, but most of them are computational intensive. We propose a new analysis-synthesis framework that contains a statistical description that consists of perceptually important statistics and an efficient mechanism to adapt statistics in the time-frequency domain. The quality of resynthesised sound is at least as good as state-of-the-art but more efficient in terms of computation time. The statistic description is based on the STFT. If certain conditions are met, it can also adapt to other filter bank based time-frequency representations (TFR). The adaptation of statistics is achieved by using the connection between the statistics on TFR and the spectra of time-frequency domain coefficients. It is possible to adapt only a part of cross-correlation functions. This allows the synthesis process to focus on important statistics and ignore the irrelevant parts, which provides extra flexibility. The proposed algorithm has several perspectives. It could possibly be used to generate unseen sound textures from artificially created statistical descriptions. It could also serve as a basis for transformations like stretching or morphing. One could also expect to use the model to explore semantic control of sound textures
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Books on the topic "Transformation texture"

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Textiles of Southeast Asia: Tradition, trade, and transformation. [Hong Kong]: Periplus, 2003.

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Textiles of Southeast Asia: Tradition, trade, and transformation. Melbourne: Australian National Gallery, 1990.

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Textual transformations in children's literature: Adaptations, translations, reconsiderations. New York: Routledge, 2012.

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Wisnovsky, Robert, Faith Wallis, Jamie C. Fumo, and Carlos Fraenkel, eds. Vehicles of Transmission, Translation, and Transformation in Medieval Textual Culture. Turnhout: Brepols Publishers, 2011. http://dx.doi.org/10.1484/m.cursor-eb.6.09070802050003050304050207.

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Comeback cities: Transformation strategies for former industrial cities. Rotterdam, Netherlands: NAi Publishers, 2009.

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Alpermann, Björn. China's cotton industry: Economic transformation and state capacity. London: Routledge, 2010.

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Alpermann, Björn. China's cotton industry: Economic transformation and state capacity. London: Routledge, 2010.

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China's cotton industry: Economic transformation and state capacity. New York: Routledge, 2010.

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Transformations and texts: G.B. Shaw's Buoyant billions. Columbia, SC, USA: Camden House, 1992.

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Yapaskurt, Oleg, and Evgeniya Karpova. Stadial analysis of lithogenesis. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/21034.

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The tutorial deals with modern methods stadial analysis which allows you to retroactively recreate the stages of the successive changes in the substance of sludge as its transformation into the breed and during the stay of the breed in stratisphere. Seems some of the techniques of deciphering and mineral structural and textural transformations, corresponding to different stages of lithogenesis and early metamorphism using optical and electron microscopy, as well as methods of synthesis of such observations on genetic (lithofacies and formational) basis, theoretical understanding of the mechanisms of multivariate processes of sedimentary rock formation, the problems of their classification and relationships with Genesis. Meets the requirements of Federal state educational standard of higher education of the last generation. For students of geological specialties, undergraduates, graduate students and research generalists.
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Book chapters on the topic "Transformation texture"

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Jonas, John J. "Transformation Textures Associated with Steel Processing." In Microstructure and Texture in Steels, 3–17. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-454-6_1.

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Sato, Jun, and Roberto Cipolla. "Extracting the affine transformation from texture moments." In Computer Vision — ECCV '94, 165–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0028347.

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Stanford, N., and Pete S. Bate. "The Martensitic Transformation Texture in Ti-6Al-4V." In Materials Science Forum, 669–74. Stafa: Trans Tech Publications Ltd., 2005. http://dx.doi.org/10.4028/0-87849-975-x.669.

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Suwas, Satyam, and Ranjit Kumar Ray. "Texture Evolution During Solidification and Solid-State Transformation." In Engineering Materials and Processes, 73–93. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6314-5_4.

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Lischewski, I., D. M. Kirch, A. Ziemons, and G. Gottstein. "Investigation of Microstructure Development During α-γ-α Phase Transformation in Steel by Using High Temperature in situ EBSD." In Microstructure and Texture in Steels, 409–13. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-454-6_24.

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Suwas, Satyam, Nilesh P. Gurao, and Ashkar Ali. "Evolution of Transformation Texture in a Metastable B - Titanium Alloy." In Ceramic Transactions Series, 617–28. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2008. http://dx.doi.org/10.1002/9780470444191.ch70.

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Okai, Daisuke, Toshiya Doi, and Atsushi Yamamoto. "Transformation Texture of Pure Iron After Cold-Rolling and Annealing." In Proceedings of the 8th Pacific Rim International Congress on Advanced Materials and Processing, 2701–7. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-48764-9_335.

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Okai, Daisuke, Toshiya Doi, and Atsushi Yamamoto. "Transformation Texture of Pure Iron after Cold-Rolling and Annealing." In PRICM, 2701–7. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118792148.ch335.

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Kestens, Leo A. I., Jai Gautam, and Roumen Petrov. "Texture and Microstructure Evolution at the Metal-Vapour Interface During Transformation Annealing in a Mn and Al Alloyed Ultra Low Carbon Steel." In Microstructure and Texture in Steels, 103–9. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-454-6_6.

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Godet, Stéphane, You Liang He, John J. Jonas, and Pascal J. Jacques. "Multiscale Characterisation of the Transformation Texture in a High Performance Steel." In Materials Science Forum, 381–86. Stafa: Trans Tech Publications Ltd., 2005. http://dx.doi.org/10.4028/0-87849-975-x.381.

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Conference papers on the topic "Transformation texture"

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Srivastava, D., K. V. Mani Krishna, S. Neogy, G. K. Dey, I. Samajdar, and S. Banerjee. "Evolution of Microstructure, Microtexture and Texture in Dilute Zirconium Based Structural Components of Pressurised Heavy Water Reactors." In 17th International Conference on Nuclear Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/icone17-75274.

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Microstructure and texture of Zr alloys plays a significant role in deciding the material properties and its performance in nuclear reactor. In order to understand the development of microstructure, it is important to know the phase transformations mechanism in these alloys. Dilute Zr-Nb alloys exhibit a range of diffusional, diffusion less and hybrid phase transformations which includes martensitic omega and hydride transformation. With these points in view detail studies on the physical metallurgy aspects of the binary, ternary and quaternary Zirconium base alloys has been carried out in this study. Electron Diffraction and X-ray diffraction techniques have been used to determine the phases, defects and their crystallographic features. Hydriding is most important corrosion problem in the Zirconium cladding alloys. The mechanism of hydride phase transformation and their crystallographic and microstructural aspects has been presented in detail in some Zirconium alloys. Zirconium alloys being crystallographically asymmetric it shows deformation and annealing texture. Result of the studies on bulk and micro texture in some zirconium alloys and some micro-textural aspects on hydride formation is presented in this paper.
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Ma, Xianfeng, Kan Ma, and Yawen Wu. "Crystal Plasticity Modeling of Hot Extrusion Texture and Plasticity in a Titanium Alloy for an ICME Toolset." In 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-67989.

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For a better use of titanium alloy in nuclear industry, development of integrated computational materials engineering (ICME) model is necessary to optimize alloy microstructure and thus the performance of titanium component. Within an ICME toolset, constitutive models play an important role in quantitatively capturing the interrelationship between processing, microstructure and property. In this paper, texture evolution during hot extrusion of near-alpha Ti6242S bar were studied with respect to the deformation and transformation texture component. Experimentally measured alpha and beta phase textures were instantiated in a three dimensional rate-dependent crystal plasticity model. The model is able to accurately predict the deformation textures of both the alpha and beta phases at extrusion temperature. While decomposition of the metastable beta phase occurred during the post-extrusion cooling, most of the transformation texture components formed aligned [0001] with the extrusion direction, which formed the primary component of extruded alpha texture. The transformation texture was predicted by numerically decomposing the simulated beta texture according to appropriate variant selection rule. Also demonstrated was the capability of a crystal plasticity model incorporating microstructure information, such as phase fraction and lamellar spacing. The crystal plasticity model was validated by comparing with the experimental elastoplasticity behaviors of Ti6242S bars with various microstructures.
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Fonte, Matthew, and Anil Saigal. "Crystallographic Texture of Nitinol and its Effects on Macrophage." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-37109.

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The use of Nitinol for medical purposes was first reported in the late 1960’s. Today Nitinol is commonly used for the manufacture of stents, which are primarily used in peripheral and coronary bypass graft interventions. The application of NiTi in orthopedics is an exciting prospect but one that has yet to be realized. Nitinol’s unique mechanical behavior is derived from the coordinated atomic movements manifesting in phase transformations from cubic austenite to monoclinic martensite. These phase transformations are solid-to-solid phase transformations that occur without diffusion or plasticity, potentially making them reversible. They involve changes in the crystalline structure that can be induced by changes in either temperature or stress. In addition to phase transformations, Nitinol’s mechanical strength is strongly dependent on the alloy composition and the method in which the material is processed, i.e. rolled, drawn, extruded, or forged. The mechanical work, combined with the intermediate heat treatment steps, contribute to modify microstructure, transformation temperatures and mechanical properties. These manufacturing processing steps lead to texturing (crystallographic alignment) of the material. Alignment of the atomic planes from texture in the polycrystalline material have a marked influence on the mechanical response by either limiting or promoting phase transformations and shape recovery strains. Nitinol is an established biomaterial, whose biocompatibility is heavily grounded on the inertness of titanium based oxides that usually dominate the surface exterior. Surfaces that vary significantly in their chemistry, topography and corrosion resistance have different degrees of biocompatibility. As such, a better understanding of the biological response of NiTi’s surfaces with different crystallographic textures in needed. In the present research, a macrophage study is performed whereby 6 plates that are highly textured NiTi with different surface finishes are incubated with cells for approximately 3 days and then tumor necrosis factor (TNF), a pro-inflammatory cytokine production and cellular proliferation are assessed.
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Zhao, Yue, Xiaoyu Cui, Zhiqiong Wang, Ziming Yin, and Cong Feng. "A Novel Coordinate Transformation-Based Texture Mapping Algorithm." In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2009. http://dx.doi.org/10.1109/icbbe.2009.5162216.

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Lobanov, M. L., I. Yu Pyshmintsev, A. N. Maltseva, D. P. Uskov, S. V. Danilov, E. A. Makarova, and V. I. Pastukhov. "Features of shear transformation texture in seamless pipes." In MECHANICS, RESOURCE AND DIAGNOSTICS OF MATERIALS AND STRUCTURES (MRDMS-2018): Proceedings of the 12th International Conference on Mechanics, Resource and Diagnostics of Materials and Structures. Author(s), 2018. http://dx.doi.org/10.1063/1.5084489.

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Smith, T. "Texture transfer using affine transformation groups and patch boundary matching." In IEE International Conference on Visual Information Engineering (VIE 2005). IEE, 2005. http://dx.doi.org/10.1049/cp:20050074.

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Di, Haibin, and Dengliang Gao. "Improved seismic texture analysis based on nonlinear gray-level transformation." In SEG Technical Program Expanded Abstracts 2016. Society of Exploration Geophysicists, 2016. http://dx.doi.org/10.1190/segam2016-13819663.1.

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Li, Yang, Xinli Han, Lingkang Ji, Yaorong Feng, and Chunyong Huo. "Effect of Micro-Texture on Fracture Separation in X80 Line Pipe Steel." In 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64198.

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During tests on pipe and steel for the 2nd west-east gas pipeline project (WEPP) in china, fracture separation was found in X80 line pipe steel plates in tensile tests, charpy impact tests and DWTT tests. In this paper, fracture separation is investigated by using EBSD technique to analyze microstructure and compare it with microstructure transformation of the material after annealing. Results show that there are obvious texture of {111} <110> and {110} <001> in hot rolling plate, but a reduction of this two textures and a new texture of {110} <111> are found after annealing at 700°C for 2 hours. It is found in charpy impact tests that {111} <110> micro-texture as a main factor leading to fracture separation was eliminated in annealed specimens. The average grain size of specimen changes from 2.2687μm to 2.8362μm comparing with hot rolling plate because of the decomposition of Bainite. Results of Orientation Imaging display that the proportion of substructure and the distribution of misorientation of grain boundary of annealed specimens do not changed remarkably in contrast to the original ones. It is concluded that, X80 steel has well heat stability.
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Zhang, Yao, and Xiaoya Liu. "Extract Characteristic of High Reflect Rate Surface Texture Using Wavelet Transformation." In 2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC). IEEE, 2013. http://dx.doi.org/10.1109/imccc.2013.165.

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Zhao, Hai Ying, Guang Mei Xu, and Zheng Guang Xu. "An Algorithm of Extraction Visual Texture Features Based on Gabor Transformation." In 2010 Chinese Conference on Pattern Recognition (CCPR). IEEE, 2010. http://dx.doi.org/10.1109/ccpr.2010.5659252.

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Reports on the topic "Transformation texture"

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Bang, Haeun. Texture Transformation. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-441.

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Kays, Lauren, Helen S. Koo, Karla Simmons, and Paula Peek. Assimilation and Transformation: Application of Digital Textile Printing. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/itaa_proceedings-180814-898.

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