Relevant bibliographies by topics / Texture

Academic literature on the topic 'Texture'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Texture"

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Jamwal, Gourav, Sanjay Sharma, and R. K. Awasthi. "The dynamic performance analysis of chevron shape textured hydrodynamic bearings." Industrial Lubrication and Tribology 72, no. 1 (July 22, 2019): 1–8. http://dx.doi.org/10.1108/ilt-05-2019-0172.

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Purpose This paper aims to evaluate the various dynamic performance parameters of hydrodynamic journal bearings. For this, the bearing’s inner surface is textured with chevron-shaped textures with different texture depths and number of textures in different regions/locations. Design/methodology/approach In the present study, the effect of chevron-shaped texture having different values of texture depths, locations and number of textures has been numerically simulated. The dynamic performance characteristics have been calculated by solving the fluid flow governing Reynolds equation using the finite element method, assuming iso-viscous and Newtonian fluid. Findings The obtained results indicate that the bearing stability can be improved with the help of surface texture. Among all the investigated texture locations, the maximum increase in stability threshold speed is observed for fully textured distribution. Moreover, for the chevron-shaped texture considered in the present study, the optimum values of texture depth and number of textures have also been determined for maximum bearing stability. Practical implications While designing, designers should focus on those optimum values of texture depth, texture location and number of textures which lead to maximum enhancement in bearing stability. Originality/value This study is useful in the appropriate selection of chevron-shaped texture parameters on bearing surface for the maximum bearing stability.
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Yang, Na, Chiemi Oka, Seiichi Hata, and Junpei Sakurai. "Fabrication of textured substrates for dye-sensitized solar cells using polydimethylsiloxane nanoimprint lithography." Advanced Optical Technologies 8, no. 6 (December 18, 2019): 491–97. http://dx.doi.org/10.1515/aot-2019-0010.

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Abstract We proposed a fabrication of nanoimprinted textures on a front glass/transparent conductive oxide interface for dye-sensitized solar cells (DSSCs). These textures were fabricated through polydimethylsiloxane (PDMS) nanoimprint lithography on organosilsesquioxane solution. The texture structures were estimated via optical simulation. Master molds were anodic aluminum oxide templates with nano-texture (N-Tx) and micro-nano double texture (D-Tx). Meanwhile, replicate molds used a hard PDMS. Fluorine-doped tin oxide and titanium dioxide were deposited on textured glass substrates to generate electrodes for DSSCs. Unlike the DSSCs without texture, textured DSSCs realized 11.4% (N-Tx) and 10% (D-Tx) improvement in conversion efficiency.
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Gao, Lin, Tong Wu, Yu-Jie Yuan, Ming-Xian Lin, Yu-Kun Lai, and Hao Zhang. "TM-NET." ACM Transactions on Graphics 40, no. 6 (December 2021): 1–15. http://dx.doi.org/10.1145/3478513.3480503.

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We introduce TM-NET, a novel deep generative model for synthesizing textured meshes in a part-aware manner. Once trained, the network can generate novel textured meshes from scratch or predict textures for a given 3D mesh, without image guidance. Plausible and diverse textures can be generated for the same mesh part, while texture compatibility between parts in the same shape is achieved via conditional generation. Specifically, our method produces texture maps for individual shape parts, each as a deformable box, leading to a natural UV map with limited distortion. The network separately embeds part geometry (via a PartVAE) and part texture (via a TextureVAE) into their respective latent spaces, so as to facilitate learning texture probability distributions conditioned on geometry. We introduce a conditional autoregressive model for texture generation, which can be conditioned on both part geometry and textures already generated for other parts to achieve texture compatibility. To produce high-frequency texture details, our TextureVAE operates in a high-dimensional latent space via dictionary-based vector quantization. We also exploit transparencies in the texture as an effective means to model complex shape structures including topological details. Extensive experiments demonstrate the plausibility, quality, and diversity of the textures and geometries generated by our network, while avoiding inconsistency issues that are common to novel view synthesis methods.
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Riesebeck, Florian, Florian Mathies, Danbi Yoo, Sergei Trofimov, Eva Unger, and Christiane Becker. "Investigation of perovskite layer growth from solution on textured substrates." EPJ Photovoltaics 15 (2024): 19. http://dx.doi.org/10.1051/epjpv/2024017.

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Surface textures are indispensable to minimize optical losses in perovskite-based solar cells. However, the solution-processing of perovskite layers is often not compatible with textured substrates, and little is known about the film growth thereon. This study aims to elucidate the growth process of perovskite layers from solution on textured substrates and to identify the texture features ensuring compatibility with perovskite solution-processing. Using nanoimprint-lithography we prepared three different periodically as well as randomly textured glass substrates for spin-coated perovskite solar cells, of which one was duplicated from a commercially available texture. During the perovskite crystallization process, a time-resolved in situ photoluminescence measurement was conducted. The photoluminescence signal was not found to substantially alter using textured substrates with texture heights around 500 nm. Optical absorptance spectroscopy and scanning electron microscopic imaging were applied to investigate the growth, crystal structure, and optical properties of solution-processed perovskite on top of different textures. We find that periodic textures with height around 500 nm enable homogeneous solution-processed perovskite layers with optimized optical performance. In contrast, texture heights of several micrometers lead to macroscopic holes in the perovskite film. The results of this study will help to find optimum optical textures for high-efficiency perovskite single-junction and perovskite-silicon tandem solar cells.
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Li, Chenchen, Xuefeng Yang, Shouren Wang, Yanjun Wang, Chongyang Lu, and Jinlong Cao. "Study on Friction and Lubrication Characteristics of Surface with Unidirectional Convergence Texture." Coatings 9, no. 12 (November 21, 2019): 780. http://dx.doi.org/10.3390/coatings9120780.

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In order to study the influence of texture on the wear and lubrication performance of the surface of the tools, three kinds of textures with unidirectional convergence morphology were processed on the surface of the samples, and each texture was designed with different area occupancy ratios. Simulation analysis shows that, owing to the reflow and convection effect of liquid in the texture, the lubricating film flowing through the textured surface has a high hydrodynamic pressure value, and the semicircular ring texture is the most prominent. By comparing the friction coefficient, when the area occupancy ratio of texture on the surface is 10%, the surface of the samples with different morphology has the lowest coefficient of friction; the friction coefficient of the semicircular ring textured surface is especially very low. Surface textures reduce the direct contact area between the friction pairs, and generate dynamic pressure lubrication and secondary lubrication, so that the surface friction coefficient of the samples is obviously reduced. The surfaces of the non-textured samples have abrasive wear and contact fatigue wear, and the surfaces of the textured samples have adhesive wear, abrasive wear, and cavitation.
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Zheng, Minli, Chunsheng He, and Shucai Yang. "Optimization of Texture Density Distribution of Carbide Alloy Micro-Textured Ball-End Milling Cutter Based on Stress Field." Applied Sciences 10, no. 3 (January 23, 2020): 818. http://dx.doi.org/10.3390/app10030818.

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The insertion of micro-textures plays a role in reducing friction and increasing wear resistance of the cutters, which also has a certain impact on the stress field of the cutter during milling. Therefore, in order to study the mechanisms of friction reduction and wear resistance of micro-textured cutters in high speed cutting of titanium alloys, the dynamic characteristics of the instantaneous stress field during the machining of titanium alloys with micro-textured cutters were studied by changing the distribution density of the micro-textures on the cutter. First, the micro-texture insertion area of the ball-end milling cutter was theoretically analyzed. Then, variable density micro-textured ball-end milling cutters and non-texture cutters were used to cut titanium alloy, and the mathematical model of milling force and cutter-chip contact area was established. Then, the stress density functions of different micro-texture density cutters and non-texture cutters were established to simulate the stress fields of variable density micro-textured ball-end milling cutters and non-texture cutters. Finally, the genetic algorithm was used to optimize the variable density distribution of micro-textured cutters in which the instantaneous stress field of the cutters was taken as the optimization objective. The optimal solution for the variable density distribution of the micro-textured cutter in the cutter-chip tight contact area was obtained as follows: the texture distribution densities in the first, second, and third areas are second, and third areas are 0.0905, 0.0712, and 0.0493, respectively.
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Bhaumik, Shubrajit, Viorel Paleu, Dhrubajyoti Chowdhury, Adarsh Batham, Udit Sehgal, Basudev Bhattacharya, Chiradeep Ghosh, and Shubhabrata Datta. "Tribological Investigation of Textured Surfaces in Starved Lubrication Conditions." Materials 15, no. 23 (November 27, 2022): 8445. http://dx.doi.org/10.3390/ma15238445.

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The present work investigates the friction reduction capability of two types of micro-textures (grooves and dimples) created on steel surfaces using a vertical milling machine. The wear studies were conducted using a pin-on-disc tribometer, with the results indicating a better friction reduction capacity in the case of the dimple texture as compared to the grooved texture. The microscopic images of the pin surface revealed deep furrows and significant damage on the pin surfaces of the groove-textured disc. An optimization of the textured surfaces was performed using an artificial neural network (ANN) model, predicting the influence of the surface texture as a function of the load, depth of cut and distance between the micro-textures.
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Sharma, Sanjay, Gourav Jamwal, and R. K. Awasthi. "Numerical study on steady state performance enhancement of partial textured hydrodynamic journal bearing." Industrial Lubrication and Tribology 71, no. 9 (November 4, 2019): 1055–63. http://dx.doi.org/10.1108/ilt-03-2019-0083.

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Purpose The purpose of this paper is to provide the various steady state parameters of hydrodynamic journal bearings have been determined to get maximum performance enhancement ratio. For this, the bearings inner surface is textured with triangular shape with different texture depths and a number of textures in pressure increasing region. The textured region acts as a lubricant reservoir, which provides additional film-thickness and reduce friction. Therefore, enhance the overall performance of bearing. Design/methodology/approach In the present study, the effect of triangular shaped texture on the static performance characteristics of a hydrodynamic journal bearing has been studied. Different values of texture depths and a number of textures have been numerically simulated in pressure developing region. The static performance characteristics have been calculated by solving the fluid flow governing Reynolds equation using the finite element method, assuming iso-viscous Newtonian fluid. The performance enhancement ratio, which is the ratio of load carrying capacity (LCC) to the coefficient of friction (COF) has been calculated from results to finalized optimum design parameters. Findings The paper provides numerically obtained results indicate that surface texturing can improve bearing performance if the textured region is placed in the pressure increasing region. Moreover, surface texturing is the most effective at bearing performance enhancement when the bearing operates at lower eccentricity ratios and texture depth. The performance enhancement ratio, which is the ratio of LCC to the COF is found to be a maximum value of 2.198 at texture depth of 1.5, eccentricity ratio of 0.2 and the textured region located in the increasing pressure region. Research limitations/implications The present study is based on a numerical based research approach, which has its limitations. So, researchers are encouraged to investigate the same work experimentally. Practical implications The paper includes implications to be beneficial for designers for designing better hydrodynamic journal bearings. Originality/value For the triangular shaped texture, considered in the present study, the optimum values of texture depth and texture distribution region have also been determined. While designing, designers should focus on those values of texture depth, texture region and a number of textures, which give the maximum value of performance enhancement ratio, which represents maximum LCC at the lowest value of the COF.
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Cai, Chunbo, Zesheng Ji, Huajun Zhang, and Guojun Wang. "Study on the Microstructure and Texture of 3003 Aluminum Sheets Rolled by Laser-Textured Roll." Journal of Metallurgy 2009 (May 31, 2009): 1–6. http://dx.doi.org/10.1155/2009/587938.

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In order to improve the surface quality and formability of 3003 aluminum alloy sheet, laser-textured rolls are used in cold rolling. The influences of the cold rolling procedures with conventional and laser-textured rolls on the evolution of microstructure and texture were studied by the means of microstructural observations and X-ray texture analysis. Experimental results show that the microstructures are similar besides the samples rolled with laser-textured rolls containing a relatively larger amount of shear bands. The sheets deformed with conventional rolls have developed the typical rolling textures of FCC metals, which consist of Bs, Cu, and S components. However, the rolling textures of the sheets rolled with laser-textured rolls are comparatively weak, and the shear texture {001}〈110〉 is developed on the surface layer, but not observed in the intermediate layer of the sheet. The intensity of the rotated cube orientation increases with the increase of rolling reduction and then decreases after 90% rolling reduction.
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Hemalatha, S., and S. Margret Anouncia. "A Computational Model for Texture Analysis in Images with Fractional Differential Filter for Texture Detection." International Journal of Ambient Computing and Intelligence 7, no. 2 (July 2016): 93–113. http://dx.doi.org/10.4018/ijaci.2016070105.

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This paper is dedicated to the modelling of textured images influenced by fractional derivatives for texture detection. As most of the images contain textures, texture analysis becomes the most important for image understanding and it is a key solution for many computer vision applications. Hence, texture must be suitably detected and represented. Nevertheless, existing texture detection algorithms consider texture as a unique feature from edges. The proposed model explores a novel way of developing texture detection algorithm by mimicking edge detection algorithms. The method assumes that texture feature is analogous to edges and thus, the time complexity is reduced significantly. The model proposed in this work is based on Gaussian kernel smoothing, Fractional partial derivatives and a statistical approach. It is justified to be robust to noisy images and possesses statistical interpretation. The model is validated by the classification experiments on different types of textured images from Brodatz album. It achieves higher classification accuracy than the existing methods.
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Dissertations / Theses on the topic "Texture"

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Kaur, Avneet. "Texture mapping using tiled textures." Texas A&M University, 2004. http://hdl.handle.net/1969.1/426.

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This thesis work presents a simple and practical technique for seamlessly texturing quadrilateral meshes. Using this technique, an isotropic homogeneous texture can be mapped to any quadrilateral mesh without any discontinuity or singularity in the resultant texturing. The method involves organizing a set of square texture tiles that satisfy specific boundary conditions into one texture image file which is called a tiled texture. Based on the tiled textures, we have developed an extremely simple texture mapping algorithm that randomly assigns one tile to every patch in any given quadrilateral mesh. The mapping technique developed yields singularity free textures, regardless of the singularities existing in the quadrilateral mesh, gives seamless and continuous boundaries across textures and provides an aperiodic and interesting look to the entire textured surface.
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Zahradnik, Roman. "Texturní příznaky." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2007. http://www.nusl.cz/ntk/nusl-236898.

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Aim of this project is to evaluate effectivity of various texture features within the context of image processing, particulary the task of texture recognition and classification. My work focuses on comparing and discussion of usage and efficiency of texture features based on local binary patterns and co- ccurence matrices. As classification algorithm is concerned, cluster analysis was choosen.
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Green, Lori Anne. "Tiled texture synthesis." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/429.

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In this thesis a new image-based texturing method has been developed. This new method allows users to synthesize tiled textures that can be mapped to any quadrilateral mesh without discontinuity or singularity. An interface has been developed that allows user control over out put textures. Three methods have been included in the interface to create a periodic looking texture for 3D models and two methods have been developed to create wallpaper images (repeating textures on a 2D surface). Using these texturing methods, texturing problems are simplified, and more time can be spent solving artistic problems.
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Hao, Chuan Yan. "Image completion based on texture regularity and texture synthesis." Thesis, University of Macau, 2008. http://umaclib3.umac.mo/record=b1940411.

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Edwards, James. "Texture analysis : from tactile sensor to an artificial textural concept." Thesis, University of Bristol, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540898.

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Pasáček, Václav. "Segmentace obrazu podle textury." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236463.

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Image segmentation is an important step in image processing. A traditional way how to segment an image is a texture-based segmentation that uses texture features to describe image texture. In this work, Local Binary Patterns (LBP) are used for image texture representation. Texture feature is a histogram of occurences of LBP codes in a small image window. The work also aims to comparison of results of various modifications of Local Binary Patterns and their usability in the image segmentation which is done by unsupervised clustering of texture features. The Fuzzy C-Means algorithm is finally used for the clustering in this work.
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Siqueira, Fernando Roberti de 1989. "Multi-scale approaches to texture description = Abordagens multiescala para descrição de textura." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275604.

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Orientadores: Hélio Pedrini, William Robson Schwartz
Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação
Made available in DSpace on 2018-08-24T04:06:04Z (GMT). No. of bitstreams: 1 Siqueira_FernandoRobertide_M.pdf: 20841189 bytes, checksum: 62053b7b36d54bbdccc8b5aa3650fe6a (MD5) Previous issue date: 2013
Resumo: Visão computacional e processamento de imagens desempenham um papel importante em diversas áreas, incluindo detecção de objetos e classificação de imagens, tarefas muito importantes para aplicações em imagens médicas, sensoriamento remoto, análise forense, detecção de pele, entre outras. Estas tarefas dependem fortemente de informação visual extraída de imagens que possa ser utilizada para descrevê-las eficientemente. Textura é uma das principais propriedades usadas para descrever informação tal como distribuição espacial, brilho e arranjos estruturais de superfícies. Para reconhecimento e classificação de imagens, um grande grupo de descritores de textura foi investigado neste trabalho, sendo que apenas parte deles é realmente multiescala. Matrizes de coocorrência em níveis de cinza (GLCM) são amplamente utilizadas na literatura e bem conhecidas como um descritor de textura efetivo. No entanto, este descritor apenas discrimina informação em uma única escala, isto é, a imagem original. Escalas podem oferecer informações importantes em análise de imagens, pois textura pode ser percebida por meio de diferentes padrões em diferentes escalas. Dessa forma, duas estratégias diferentes para estender a matriz de coocorrência para múltiplas escalas são apresentadas: (i) uma representação de escala-espaço Gaussiana, construída pela suavização da imagem por um filtro passa-baixa e (ii) uma pirâmide de imagens, que é definida pelo amostragem de imagens em espaço e escala. Este descritor de textura é comparado com outros descritores em diferentes bases de dados. O descritor de textura proposto e então aplicado em um contexto de detecção de pele, como forma de melhorar a acurácia do processo de detecção. Resultados experimentais demonstram que a extensão multiescala da matriz de coocorrência exibe melhora considerável nas bases de dados testadas, exibindo resultados superiores em relação a diversos outros descritores, incluindo a versão original da matriz de coocorrência em escala única
Abstract: Computer vision and image processing techniques play an important role in several fields, including object detection and image classification, which are very important tasks with applications in medical imagery, remote sensing, forensic analysis, skin detection, among others. These tasks strongly depend on visual information extracted from images that can be used to describe them efficiently. Texture is one of the main used characteristics that describes information such as spatial distribution, brightness and surface structural arrangements. For image recognition and classification, a large set of texture descriptors was investigated in this work, such that only a small fraction is actually multi-scale. Gray level co-occurrence matrices (GLCM) have been widely used in the literature and are known to be an effective texture descriptor. However, such descriptor only discriminates information on a unique scale, that is, the original image. Scales can offer important information in image analysis, since texture can be perceived as different patterns at distinct scales. For that matter, two different strategies for extending the GLCM to multiple scales are presented: (i) a Gaussian scale-space representation, constructed by smoothing the image with a low-pass filter and (ii) an image pyramid, which is defined by sampling the image both in space and scale. This texture descriptor is evaluated against others in different data sets. Then, the proposed texture descriptor is applied in skin detection context, as a mean of improving the accuracy of the detection process. Experimental results demonstrated that the GLCM multi-scale extension has remarkable improvements on tested data sets, outperforming many other feature descriptors, including the original GLCM
Mestrado
Ciência da Computação
Mestre em Ciência da Computação
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Kume, Nelson Yoshiharu. "Texturas plissadas em materiais têxteis: artesanato, técnica e tecnologia." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/100/100133/tde-05072015-181749/.

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O vestuário, tem seu mercado predominantemente norteado por tendências e diferenciais agrega- dos ao produto. Na confecção, estas variáveis são aplicadas ao material têxtil, em sua construção, não tanto nas qualidades internas, mas na aparência. Arranjos sistemáticos na superfície têxtil promovem qualidades táteis e visuais. A textura plissada e sua beleza atemporal é objeto deste estudo. A proposição é percorrer o trabalho histórico para o levantamento das técnicas de produção artesanais e semi-industriais. A partir destas, sistematizar seus conceitos, técnicas e materiais que as reproduzam. Assim, prover aos profissionais e artesãos, conhecimento acessível para o uso em seus serviços e produtos. Artesãos que tem cultuado a arte têxtil a gerações, unem-se à indústria para potencializar suas obras. Artesanalmente, os plissados podem ser reproduzidos a partir de simples materiais de costura domésticos. Os tipos de plissados vão desde os clássicos até os mais elaborados; dos geométricos como os do tipo faca, os orgânicos como os do tipo shibori aos sofisticados como as tesselações. A plissarem semi-industrial, feita com a utilização de fôrmas de papelão permite a reprodução a partir de um padrão. Todos os interessados podem fazer a criação de seus próprios padrões e fôrmas de plissagem com os conceitos de design de superfície e os princípios da dobradura.
The clothing has its market predominantly guided by trends and added differentials to the product. In the making, these variables are applied to the textiles in its construction, not so much in inner qualities, but in appearance. Systematic arrangements in the textile surface promote tactile and visual qualities. The pleated texture and its timeless beauty is the subject of this work. The proposition is going through the historical data to survey the handmade and semi-industrial production techniques. From these, systematizing their concepts, techniques and materials to reproduce them. Thus provide professionals and artisans, knowledge accessible for use in your services and products. Artisans who have worshiped the textile art through generations unite in partnership to the industry to enhance their work. Handmade, the pleats can be done with simple household sewing materials. The pleat types range from the classics to the most elaborate; from geometric as knife type and organic as shibori to sophisticated as tessellations. The semi-industrial pleats are made by the use of cardboard molds by which patterns follows chosen standards. Everyone can create an own pattern and pleating molds based on surface design concepts and principles of folding.
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Tavakoli, Targhi Alireza. "The texture-transform an operator for texture detection and discrimination /." Doctoral thesis, Stockholm : Skolan för datavetenskap och kommunikation, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11384.

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Safia, Abdelmounaime. "Développement d’un modèle d’analyse de texture multibande." Thèse, Université de Sherbrooke, 2014. http://hdl.handle.net/11143/5990.

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Résumé : En télédétection, la texture facilite l’identification des classes de surfaces sur des critères de similitude d’organisation spatiale des pixels. Les méthodes d’analyse texturale utilisées en télédétection et en traitement d’image en général sont principalement proposées pour extraire la texture dans une seule bande à la fois. Pour les images multispectrales, ceci revient à extraire la texture dans chaque bande spectrale séparément. Cette stratégie ignore la dépendance qui existe entre la texture des différentes bandes (texture inter-bande) qui peut être une source d’information additionnelle aux côtés de l’information texturale classique intra-bande. La prise en charge de la texture multibande (intra- et inter-bande) engendre une complexité calculatoire importante. Dans sa recherche de solution pour l’analyse de la texture multibande, ce projet de thèse revient vers les aspects fondamentaux de l’analyse de la texture, afin de proposer un modèle de texture qui possède intrinsèquement une complexité calculatoire réduite, et cela indépendamment de l’aspect multibande de la texture. Une solution pour la texture multibande est ensuite greffée sur ce nouveau modèle, de manière à lui permettre d’hériter de sa complexité calculatoire réduite. La première partie de ce projet de recherche introduit donc un nouveau modèle l’analyse de texture appelé modèle d’unité texturale compacte (en anglais : Compact Texture Unit, C-TU). Le C-TU prend comme point de départ le modèle de spectre de texture et propose une réduction significative de sa complexité. Cette réduction est atteinte en proposant une solution générale pour une codification de la texture avec la seule information d’occurrence, sans l’information structurelle. En prenant avantage de la grande efficacité calculatoire du modèle de C-TU développé, un nouvel indice qui analyse la texture multibande comme un ensemble indissociable d’interactions spatiales intra- et inter-bandes est proposé. Cet indice, dit C-TU multibande, utilise la notion de voisinage multibande afin de comparer le pixel central avec ses voisins dans la même bande et avec ceux des autres bandes spectrales. Ceci permet à l’indice de C-TU multibande d’extraire la texture de plusieurs bandes simultanément. Finalement, une nouvelle base de données de textures couleurs multibandes est proposée, pour une validation des méthodes texturales multibandes. Une série de tests visant principalement à évaluer la qualité discriminante des solutions proposées a été conduite. L’ensemble des résultats obtenus dont nous faisons rapport ici confirme que le modèle de C-TU proposé ainsi que sa version multibande sont des outils performants pour l’analyse de la texture en télédétection et en traitement d’images en général. Les tests ont également démontré que la nouvelle base de données de textures multibande possède toutes les caractéristiques nécessaires pour être utilisée en validation des méthodes de texture multibande. // Abstract : In multispectral images, texture is typically extracted independently in each band using existing grayscale texture methods. However, reducing texture of multispectral images into a set of independent grayscale texture ignores inter-band spatial interactions which can be a valuable source of information. The main obstacle for characterizing texture as intra- and inter-band spatial interactions is that the required calculations are cumbersome. In the first part of this PhD thesis, a new texture model named the Compact Texture Unit (C-TU) model was proposed. The C-TU model is a general solution for the texture spectrum model, in order to decrease its computational complexity. This simplification comes from the fact that the C-TU model characterizes texture using only statistical information, while the texture spectrum model uses both statistical and structural information. The proposed model was evaluated using a new monoband C-TU descriptor in the context of texture classification and image retrieval. Results showed that the monoband C-TU descriptor that uses the proposed C-TU model provides performances equivalent to those delivered by the texture spectrum model but with much more lower complexity. The calculation efficiency of the proposed C-TU model is exploited in the second part of this thesis in order to propose a new descriptor for multiband texture characterization. This descriptor, named multiband C-TU, extracts texture as a set of intra- and inter-band spatial interactions simultaneously. The multiband C-TU descriptor is very simple to extract and computationally efficient. The proposed descriptor was compared with three strategies commonly adopted in remote sensing. The first is extracting texture using panchromatic data; the second is extracting texture separately from few newbands obtained by principal components transform; and the third is extracting texture separately in each spectral band. These strategies were applied using cooccurrence matrix and monoband compact texture descriptors. For all experiments, the proposed descriptor provided the best results. In the last part of this thesis, a new color texture images database is developed, named Multiband Brodatz Texture database. Images from this database have two important characteristics. First, their chromatic content, even if it is rich, does not have discriminative value, yet it contributes to form texture. Second, their textural content is characterized by high intra- and inter-band variation. These two characteristics make this database ideal for multiband texture analysis without the influence of color information.
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Books on the topic "Texture"

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Bryant-Mole, Karen. Texture. Parsippany, NJ: Silver Press, 1996.

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Court, Rob. Texture. Chanhassen, MN: Child's World, 2003.

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Warr, Michael. Detail & texture. Newton Abbot: David & Charles, 1995.

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Haindl, Michal, and Jiří Filip. Visual Texture. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4902-6.

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Diker, Murat. Texture Spaces. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-39748-6.

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Donaldson, Lucy Fife. Texture in Film. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137034809.

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Hung, Chih-Cheng, Enmin Song, and Yihua Lan. Image Texture Analysis. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13773-1.

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Tang, Xiaoou. Transform texture classification. [Woods Hole, Mass: Massachusetts Institute of Technology, Woods Hole Oceanographic Institution, Joint Program in Oceanography/Applied Ocean Science and Engineering], 1996.

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Fitzgerald, Stephanie. What is texture? St. Catharines, Ont: Crabtree Pub. Co., 2009.

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Matthias, Boeckl, and Ott Paul 1965-, eds. Space & texture: Hertl.Architekten. Wien: Springer, 2009.

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Book chapters on the topic "Texture"

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Sonka, Milan, Vaclav Hlavac, and Roger Boyle. "Texture." In Image Processing, Analysis and Machine Vision, 477–506. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-3216-7_13.

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DeMan, John M. "Texture." In Instructor’s Manual For Principles of Food Chemistry, 16–17. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-0815-1_9.

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Crow, Franklin C. "Texture." In Computer Graphics Techniques, 159–87. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-4472-1_6.

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Jähne, Bernd. "Texture." In Digital Image Processing, 185–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-11565-7_9.

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Gooch, Jan W. "Texture." In Encyclopedic Dictionary of Polymers, 739. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_11723.

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Jähne, Bernd. "Texture." In Digital Image Processing, 185–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-21817-4_9.

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Weik, Martin H. "texture." In Computer Science and Communications Dictionary, 1774. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_19486.

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deMan, John M. "Texture." In Principles of Food Chemistry, 311–53. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4614-6390-0_8.

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Magnenat-Thalmann, Nadia, and Daniel Thalmann. "Texture." In Image Synthesis, 221–46. Tokyo: Springer Japan, 1987. http://dx.doi.org/10.1007/978-4-431-68060-4_12.

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Guha, Sumanta. "Texture." In Computer Graphics Through OpenGL®, 385–412. 4th ed. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003287452-18.

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Conference papers on the topic "Texture"

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Lee, Yong Hoon, Jonathon Schuh, Randy H. Ewoldt, and James T. Allison. "Shape Parameterization Comparison for Full-Film Lubrication Texture Design." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60168.

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Minimizing energy loss and improving system load capacity and compactness are important objectives for fluid power applications. Recent studies have revealed that a micro-textured surface can reduce friction in full-film lubrication, and an asymmetric textured surface can further improve the performance by reducing friction and increasing normal force simultaneously. As an extension of these previous discoveries, we explore how enhanced texture design can maximize these objectives together. We design the surface texture using a set of distinct parameterizations, ranging from simple to complex (including very general geometries), to improve friction and normal force properties beyond what is possible for limited texture geometries. Here we use a rotational visco-rheometer configuration with a fixed bottom disc, a periodic textured surface, and a rotating top flat disc. The Reynolds equation is formulated in a cylindrical coordinate system and solved using a pseudo-spectral method to model Newtonian fluid flow within the gap between discs. Model assumptions include incompressibility, steady flow, constant viscosity, and a small gap height to texture radius ratio. Multiobjective optimization problems are solved using the epsilon-constraint method with an interior-point algorithm. The trade-off between competing objectives is quantified, revealing important insights. Arbitrary continuous texture geometries are represented using two dimensional cubic spline interpolation. Shifting to more general texture geometries resulted in significant simultaneous improvement in both performance metrics for full-film lubrication texture design. An important qualitative result is that textures resembling a helical blade tend to improve performance for rotating contacts in fluid power systems.
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Kimura, Soichiro, Kensuke Tobitani, and Noriko Nagata. "BTF Prediction Model using Unsupervised Learning." In 8th International Conference on Control, Modeling and Computing (CMC 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120505.

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The impressions evoked by textures are called affective textures, and are considered to be important in evaluating and judging the quality of an object. And, technologies for understanding and controlling sensory textures are needed in product design. In this study, we propose a BTF prediction method using DNN as a first attempt to generate textures based on affective texture recognition. The method uses a series of continuously varying viewpoint angles of a texture image as the input signal. This method enables the generation of texture images with continuously changing angles. We tested the validity of the proposed method by using textile, wood and paper. The results show that the proposed method is effective for predicting diffuse reflection optical properties and irregular and regular patterns.
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Turner, Mark R. "Gabor functions and textural segmentation." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.wj38.

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This paper investigates the applicability of Gabor functions to textural segmentation. Gabor functions are sinusoidal plane waves in 2-D Gaussian envelopes. The choice of parameters characterizing the geometry of an individual Gabor function affects its spatial extent as well as orientation and spatial frequency tuning. Daugman has indicated that these functions belong to a class of filters having optimal joint resolution in the 2-D space and 2-D frequency domains. They are, therefore, appropriate filter choices for tasks which require selective measurement in these domains. Textural segmentation appears to be one of those tasks. A set of Gabor functions of different frequencies and orientations is applied by computer program to images containing regions of different texture. This process produces a kind of localized and orientation selective frequency spectrum of various fields in the image. The program then attempts to delineate the boundaries of the textured regions by identifying spectrum differences between these fields. Gabor functions are effective in distinguishing between many of the textures used in psychophysical studies differing in first- or second-order statistics. Additional textures in which the difference is related to some aspect of the collinearity of the texture elements have also been tried with promising results.
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Sanzharov, Vadim Vladimirovich, and Vladimir Alexandrovich Frolov. "Viewpoint Selection for Texture Reconstruction with Inverse Rendering." In 33rd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2023. http://dx.doi.org/10.20948/graphicon-2023-66-77.

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Viewpoint selection methods have a variety of applications in different fields of computer graphics and computer vision, including shape retrieval, scientific visualization, image-based modeling and others. In this paper we investigate the applicability of existing viewpoint selection methods to the problem of textures reconstruction using inverse rendering. First, we use forward rendering to produce path-traced images of a textured object. Then we apply different view quality metrics to select a set of images for texture reconstruction. Finally, we perform material and texture reconstruction using these image sets and evaluate the quality of the results. We show that using viewpoint selection methods allows to achieve faster inverse rendering times while maintaining quality of the results.
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Xu, Kefan, Guanghui Zhang, Wenlong Sun, and Jiazhen Han. "Static Characteristics Analysis of Textured Thrust Bearing Based on the Multigrid Algorithm." In ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/gt2023-101497.

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Abstract Carefully designed compliant foil structure or surface texturing can both help improve bearings’ performance. However, little research has been done on their combination: textured gas foil bearing. This paper adopted the modified compressible Reynolds equation as the pressure governing equation of bump-type foil thrust bearing, and the influence of different slip models was discussed. The predicted load capacity agrees with the literature data. This paper further presented the execution time differences between various numerical methods, including the direct, iterative, and multigrid algorithms, when handling the significant discretization effort introduced by texture. The results indicate that the multigrid algorithm performs best, and the execution time is generally reduced by 50% compared to the traditional direct method under the same operating parameters. Besides, further analysis of the textures’ effect on bearings’ performance was carried out based on three distribution types. The results indicate that textures affect all static characteristic parameters more when the relative texture depth increases. For the #1 texture distribution type, the maximum increment of load capacity could exceed 10% when the textures are assumed to be manufactured in the ramp of the top foil. In conclusion, the multigrid is an excellent solution that can balance computational accuracy and efficiency for textured foil thrust bearings. Furthermore, an appropriate arrangement of textures could improve foil thrust bearings’ performance.
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Mayeur, J. R., D. L. McDowell, and R. W. Neu. "Effect of Crystallographic Texture on Deformation Fields in Fretting Contacts." In World Tribology Congress III. ASMEDC, 2005. http://dx.doi.org/10.1115/wtc2005-63536.

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Fretting contacts in the partial slip regime are simulated by a finite element model of a rigid cylinder on an elastic-crystal viscoplastic half-space. The half-space is modeled as duplex Ti-6Al-4V, a polycrystalline metal alloy consisting of equiaxed primary alpha grains and secondary lamellar alpha+beta grains. Various realistic 3-D crystallographic textures are considered. The deformation fields generated by fretting are quantified in terms of cumulative effective plastic strain distributions and plastic strain maps. The results clearly demonstrate the importance of the various sources of microstructural heterogeneity in the surface layers. The main sources of microstructural heterogeneity include the distribution of phases, slip system strength anisotropy, and crystallographic texture. In basal textured materials with fretting on the edge, the plastic strain is more evenly distributed in the subsurface regions than in other textured cases. This is explained by the greater number of grains able to deform by soft slip modes and the symmetry of this type of texture relative to the fretting orientation. Transverse and basal/transverse textures result in more heterogeneously-distributed plastic strain with strain often concentrated in narrow vein-like structures with maximum accumulation near alpha/alpha+beta grain boundaries. Elastic shakedown is more difficult to achieve in the later case. Ratcheting is the primary mechanism for cyclic plastic strain accumulation.
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Panigrahi, Dillip Kumar, and Mihir Sarangi. "Fabrication of Deterministic Micro-Asperities on Thrust Surfaces Using Photo Chemical Machining." In ASME 2019 14th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/msec2019-2955.

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Abstract The present invention relates to characterization and the sequence of operations in photo chemical machining as a means to fabricate positive deterministic micro-textures on mild steel thrust pad surfaces. Fabrication of surface micro-texture by current technique is conceived in two-stages: where photographic emulsion process is used to pattern the microstructure, and chemical etching method is employed to fabricate the textures on mild steel surface by dissolving exposed metal surface. The texture fabricated by present invention is having slightly rough etched bottom surface with sharp edge and least amount of burrs around the texture rim and the process is also cost effective. Several aspects regarding sequence of operations in manufacturing process and the characterization of fabricated textured surfaces are discussed. The physical significance of micro-asperities on hydrodynamic lubrication is presented experimentally under constant flow system. The variation of hydrodynamic performance parameters such as frictional torque, fluid film thickness and recess pressure with different operating conditions such as varying speed and supply pressure are outlined.
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Zhao, Xin, Jifeng Guo, Lin Wang, Fanqi Li, Jiahao Li, Junteng Zheng, and Bo Yang. "STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?" In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/196.

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Solid texture synthesis (STS), an effective way to extend a 2D exemplar to a 3D solid volume, exhibits advantages in computational photography. However, existing methods generally fail to accurately learn arbitrary textures, which may result in the failure to synthesize solid textures with high fidelity. In this paper, we propose a novel generative adversarial nets-based framework (STS-GAN) to extend the given 2D exemplar to arbitrary 3D solid textures. In STS-GAN, multi-scale 2D texture discriminators evaluate the similarity between the given 2D exemplar and slices from the generated 3D texture, promoting the 3D texture generator synthesizing realistic solid textures. Finally, experiments demonstrate that the proposed method can generate high-fidelity solid textures with similar visual characteristics to the 2D exemplar.
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Murthy, Aravind N., Izhak Etsion, and Frank E. Talke. "Analysis of Surface Textured Air Bearing Sliders With Rarefaction Effects." In ASME/STLE 2007 International Joint Tribology Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/ijtc2007-44164.

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A numerical model is developed to study the effect of texture on air bearing sliders at large Knudsen numbers. The effect of texture location, texture size, and density on the pressure generation is studied. First, a textured plane slider parallel to the disk surface is investigated and the texture parameters are determined that result in optimum pressure generation. Then, a plane inclined slider is studied using optimum texture parameters found in the parallel slider case. Thereafter, the effect of texture on the steady state flying characteristics of an actual magnetic recording slider is investigated. Finally, the flying height modulation, pitch and roll motion of a textured slider (pico and femto form factors) are determined numerically by exciting the slider using a step on the disk. Comparison of the results for textured and untextured sliders is made. It is found that textured sliders show better dynamic performance compared to the untextured sliders in terms of stiffness and damping.
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Hasegawa, Mitsuru, and Tatsuya Sugihara. "High-Speed Machining of Ti-6Al-4V With a Micro Textured Cutting Tool Focusing on Coolant Behaviors." In JSME 2020 Conference on Leading Edge Manufacturing/Materials and Processing. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/lemp2020-8531.

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Abstract In the cutting of Ti-6Al-4V alloy, the cutting speed is limited as a high cutting temperature leads to severe tool wear and short tool life, resulting in poor production efficiency. However, some recent literature has reported that various beneficial effects can be provided by forming micro-textures on the tool surface in the metal cutting process. In this study, in order to achieve high-performance machining of Ti-6Al-4V, we first investigated the mechanism of the tool failure process for a cemented carbide cutting tool in high-speed turning of Ti-6Al-4V. Based on the results, cutting tools with micro textured surfaces were developed under the consideration of a cutting fluid action. A series of experiments showed that the textured rake face significantly suppresses both crater wear and flank wear. In addition, optimum texture structures and the mechanism of the texture effects in high-speed machining of Ti-6Al-4V alloy were discussed.
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Reports on the topic "Texture"

1

Ahuja, Narendra. Texture Perception and Shape from Texture. Fort Belvoir, VA: Defense Technical Information Center, February 1986. http://dx.doi.org/10.21236/ada183125.

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Ahuja, Narendra. Texture Perception and Shape from Texture. Fort Belvoir, VA: Defense Technical Information Center, March 1988. http://dx.doi.org/10.21236/ada192923.

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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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ENGLER, O., J. BINGERT, and ET AL. TEXTURE SCIENCE AND TECHNOLOGY. Office of Scientific and Technical Information (OSTI), November 1999. http://dx.doi.org/10.2172/787262.

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Hwa, L., M. Duchaineau, and K. Joy. Adaptive 4-8 Texture Hierarchies. Office of Scientific and Technical Information (OSTI), April 2004. http://dx.doi.org/10.2172/15014100.

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Hanright, J. A. Grain Texture of Sand Units. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1991. http://dx.doi.org/10.4095/132222.

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Beck, Jacob. Visual Processing in Texture Segregation. Fort Belvoir, VA: Defense Technical Information Center, November 1989. http://dx.doi.org/10.21236/ada216539.

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Beck, Jacob. Visual Processing in Texture Segregation. Fort Belvoir, VA: Defense Technical Information Center, December 1990. http://dx.doi.org/10.21236/ada230489.

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Ahuja, Narendra. Perceptual Structure and Shape from Texture. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada207873.

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Squires, Leah, and Thomas Hartmann. Development of Texture Measuring Technique Via XRD. Office of Scientific and Technical Information (OSTI), March 2015. http://dx.doi.org/10.2172/1469360.

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