Relevant bibliographies by topics / Composite materials - Data processing

Contents

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

Academic literature on the topic 'Composite materials - Data processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Composite materials - Data processing"

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Moustakidis, Serafeim, Athanasios Anagnostis, Apostolos Chondronasios, Patrik Karlsson, and Kostas Hrissagis. "Excitation-invariant pre-processing of thermographic data." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 232, no. 4 (April 23, 2018): 435–46. http://dx.doi.org/10.1177/1748006x18770888.

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There is a large number of industries that make extensive use of composite materials in their respective sectors. This rise in composites’ use has necessitated the development of new non-destructive inspection techniques that focus on manufacturing quality assurance, as well as in-service damage testing. Active infrared thermography is now a popular nondestructive testing method for detecting defects in composite structures. Non-uniform emissivity, uneven heating of the test surface, and variation in thermal properties of the test material are some of the crucial factors in experimental thermography. These unwanted thermal effects are typically coped with the application of a number of well-established thermographic techniques including pulse phase thermography and thermographic signal reconstruction. This article addresses this problem of the induced uneven heating at the pre-processing phase prior to the application of the thermographic processing techniques. To accomplish this, a number of excitation invariant pre-processing techniques were developed and tested in this article addressing the unwanted effect of non-uniform excitation in the collected thermographic data. Various fitting approaches were validated in light of modeling the non-uniform heating effect, and new normalization approaches were proposed following a time-dependent framework. The proposed pre-processing techniques were validated on a testing composite sample with pre-determined defects. The results demonstrated the effectiveness of the proposed processing algorithms in terms of removing the unwanted heat distribution effect along with the signal-to-noise ratio of the produced infrared images.
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Pietrzak, K., A. Gładki, K. Frydman, D. Wójcik-Grzybek, A. Strojny-Nędza, and T. Wejrzanowski. "Copper-Carbon Nanoforms Composites – Processing, Microstructure and Thermal Properties." Archives of Metallurgy and Materials 62, no. 2 (June 1, 2017): 1307–10. http://dx.doi.org/10.1515/amm-2017-0198.

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AbstractThe main current of publication is focused around the issues and problems associated with the formation of composite materials with Cu matrix and reinforcing phases in the various carbon nanoforms. The core of the research has been focused on thermal conductivity of these composites types. This parameter globally reflects the state of the structure, quality of raw materials and the technology used during the formation of composite materials. Vanishingly low affinity of copper for carbon, multilayered forms of graphene, the existence of critical values of graphene volume in the composite are not conducive to the classic procedures of composites designing. As a result, the expected, significant increase in thermal conductivity of composites is not greater than for pure copper matrix. Present paper especially includes: (i) data of obtaining procedure of copper/graphene mixtures, (ii) data of sintering process, (iii) the results of structure investigations and of thermal properties. Structural analysis revealed the homogenous distribution of graphene in copper matrix, the thermal analysis indicate the existence of carbon phase critical concentration, where improvement of thermal diffusivity to pure copper can occur.
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Lobanov, Dmitriy, and Elena Strungar. "Mathematical data processing according to digital image correlation method for polymer composites." Frattura ed Integrità Strutturale 14, no. 54 (September 23, 2020): 56–65. http://dx.doi.org/10.3221/igf-esis.54.04.

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The paper analyses the numerical algorithms for experimental data processing using a contactless video system Vic-3D, designed for three-dimension analysis of displacement and strain fields, and digital image correlation method. The authors considered methodological issues of conducting an experiment using a video system. They suggested recommendations on the choice of parameters of calculation of correlation, the size of subset and step during the analysis of non-homogeneous displacement and strain fields in polymer composite materials through laminated fiberglass composite. The efficient parameters of mathematical data processing are identified according to digital image correlation method on the basis of building fields for one frame on the surface of laminated fiberglass reinforced plastic at various subset values and at fixed step value. The paper shows the impact of step value on the strain fields detail degree. The authors have identified the relation of the chosen parameters of experimental data processing using digital image correlation method with the scaled levels of consideration of composite materials strain processes. To evaluate the strains at various scale levels, the paper uses supplementary video system instruments: “virtual extensometer”, “rectangular area” and “line”. The authors obtained a longitudinal strain profile that allows evaluating the location of strain peak areas on the composite object surface.
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Palumbo, D., and U. Galietti. "Damage Investigation in Composite Materials by Means of New Thermal Data Processing Procedures." Strain 52, no. 4 (March 10, 2016): 276–85. http://dx.doi.org/10.1111/str.12179.

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Nanda, Bishnu Prasad, and Alok Satapathy. "Processing and thermal characteristics of human hair fiber-reinforced polymer composites." Polymers and Polymer Composites 28, no. 4 (September 9, 2019): 252–64. http://dx.doi.org/10.1177/0967391119872399.

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Human hair is a biofiber having an exceptional chemical composition, higher strength in tension, and slow decomposition rate. In the present work, composites are fabricated by simple hand layup technique with epoxy matrix and different proportions of hair fiber (0, 5, 10, 15, and 20 wt%). Physical, mechanical, microstructural, and thermal characterization of the composite samples has been done by following the proper ASTM standards. A theoretical model has been developed to predict the effective thermal conductivity of the composite. Based on this model, a mathematical correlation between the effective thermal conductivity of the composite and the fiber content is developed. The results obtained from this correlation are in good agreement with the experimental data. This study explores the possibility of fabricating a class of epoxy composites with higher mechanical strength, superior insulation capability, improved glass transition temperature, and a low thermal expansion coefficient.
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Mustafa, Faten A., and Oguz Bayat. "Knowledge technologies based on fabrication process composite materials and remote sensing applications." Advanced Composites Letters 29 (January 1, 2020): 2633366X1989598. http://dx.doi.org/10.1177/2633366x19895989.

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The aim of this work concentrates on utilizing powerful MATLAB programming (software version R2016a) to evaluate the impact of environmental variations of water case in the Mosul Dam reservoir and observed its receding impact on human life activities based on composite image processing applications. Furthermore, composite materials of different temporal remote sensing data increase powerfully the estimation of environmental variables of relevance to human health. Thus, temporal remote sensing data trends to enhance the efficiency of detecting receding water resources effect of human life impacts over different years. Two steps were implemented, which focuses on the estimation of changes in the water surface of the lake over 31 years. Preprocessing step concentrates on composite data materials from different Landsats to be more suitable for next step by utilizing color composite image processing and postprocessing step implemented the coastline detection of the reservoir and recognition of the quality of clear water in the lake due to the variation of water spectral reflectivity by hybrid classification method. The performance of this study is based on statistics measurements on the surface area of water level and overall accuracy, which indicated that hybrid classification method improves the capacity of integrating two classification methods, which gained highly identification water lake classes regarding its quality and more. The obtained results achieved the desired purpose of this study to investigate the high power application through implementing composite different image processing techniques with temporal satellite data to conversance the amount of water level changes in Mosul Dam reservoir and its impact on storage quantity over years.
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Wang, Bing, Shuncong Zhong, Tung-Lik Lee, Kevin S. Fancey, and Jiawei Mi. "Non-destructive testing and evaluation of composite materials/structures: A state-of-the-art review." Advances in Mechanical Engineering 12, no. 4 (April 2020): 168781402091376. http://dx.doi.org/10.1177/1687814020913761.

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Composite materials/structures are advancing in product efficiency, cost-effectiveness and the development of superior specific properties. There are increasing demands in their applications to load-carrying structures in aerospace, wind turbines, transportation, medical equipment and so on. Thus, robust and reliable non-destructive testing of composites is essential to reduce safety concerns and maintenance costs. There have been various non-destructive testing methods built upon different principles for quality assurance during the whole lifecycle of a composite product. This article reviews the most established non-destructive testing techniques for detection and evaluation of defects/damage evolution in composites. These include acoustic emission, ultrasonic testing, infrared thermography, terahertz testing, shearography, digital image correlation, as well as X-ray and neutron imaging. For each non-destructive testing technique, we cover a brief historical background, principles, standard practices, equipment and facilities used for composite research. We also compare and discuss their benefits and limitations and further summarise their capabilities and applications to composite structures. Each non-destructive testing technique has its own potential and rarely achieves a full-scale diagnosis of structural integrity. Future development of non-destructive testing techniques for composites will be directed towards intelligent and automated inspection systems with high accuracy and efficient data processing capabilities.
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Frolov, E. M., A. A. Kamenev, and O. O. Trukhlyaev. "ANALYSIS OF APPROACHES TO THE RESEARCH OF MECHANICAL PROCESSING OF POLYMER MATERIALS." IZVESTIA VOLGOGRAD STATE TECHNICAL UNIVERSITY, no. 8(243) (August 28, 2020): 55–58. http://dx.doi.org/10.35211/1990-5297-2020-8-243-55-58.

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The article presents the results of analysis of modern approaches to research and improvement of methods of mechanical processing of polymer materials. The article illustrates the fact that scientific works on the mechanical processing of composite materials based on polymers are currently relevant due to the lack of data on the properties of materials that characterize their workability.
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Yan, Li Li, Yun He Zhang, Ke Xin Li, Jing Fang, Qing Wen Wang, and Bo Lin Zhu. "Online Measuring Method of Interlaminar Cracks of Laminated Composite Based on Image Processing Technology." Materials Science Forum 898 (June 2017): 2405–10. http://dx.doi.org/10.4028/www.scientific.net/msf.898.2405.

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In order to obtain a real-time interlaminar crack fracture behavior of the laminate composites, in this paper we propose a method of extracting and measuring of interlaminar crack of laminated composite materials based on 2D image analysis via the Matlab software. Extracting the main crack image were conducted using the Matlab script including four different algorithms: the binarization, region growing, morphological, and skeleton thinning, and then a main interlaminar crack image with 1 pixel width were obtained. The length of the main crack was calculated through the sum of pixels of the skeletonized object. The calculated result was closed to the measured result, and the difference between the calculated value and measured value was 0.2%, which can prove the accuracy of the method in present work. The proposed method is of high precision, with strong anti-inference ability and experimental data is stable and reliable, which is helpful to study the crack propagation behavior of laminated composite materials.
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Culshaw, B., S. G. Pierce, and W. J. Staszekski. "Condition monitoring in composite materials: An integrated systems approach." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 212, no. 3 (May 1, 1998): 189–202. http://dx.doi.org/10.1243/0959651981539398.

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This paper presents the results of a collaborative project, the objective of which was to investigate the potential offered by combining ultrasonic Lamb wave interrogation of composite material structures, insonifying the whole structure, with a single wavefront integrating optical fibre detector. The system, which was designed primarily for condition monitoring rather than defect imaging, proved to be capable of detecting small (centimetre square) delaminations, millimetre-sized holes and impact damages of a few joules, all with insonification wavelengths of the order of 2 cm. Data extraction proved to be extremely important since the damage-detection process relies essentially on analysing scattering signatures rather than attempting to image defects and damage. The system—dubbed SISCO (Structurally Integrated Systems for comprehensive evaluation of COmposites)—indicates that self-monitoring structures can be efficiently designed using controlled insonification and a relatively sparse sensor array, presenting a contrast to the more conventional imaging approach involving far more complex sensing arrays and detection and signal processing algorithms.
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Dissertations / Theses on the topic "Composite materials - Data processing"

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Zhu, Feng, and 朱峰. "Visualized CAD modeling and layered manufacturing modeling for components made of a multiphase perfect material." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B30073844.

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Zhang, Xiujuan, and 張秀娟. "An effective design method for components made of a multiphase perfectmaterial." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B30267018.

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Nezamian, Abolghasem 1968. "Bond strength of concrete plugs embedded in tubular steel piles." Monash University, Dept. of Civil Engineering, 2003. http://arrow.monash.edu.au/hdl/1959.1/5601.

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Madra, Anna. "Analyse et visualisation de la géométrie des matériaux composites à partir de données d’imagerie 3D." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2387/document.

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Le sujet du projet de thèse réalisée en cotutelle entre Laboratoire Roberval à l'Université de Technologie de Compiègne et le Centre de Composites à Haute Performance d'École Polytechnique de Montréal porté sur une proposition de l'architecture du deep learning avec sémantique pour la création automatisée des modèles de la microstructure de matériaux composites à partir d'imagerie de la micrographie aux rayons X. La thèse consiste de trois parties principales : d'abord les méthodes du prétraitement de données microtomographiques sont relevées, avec l'accent sur la segmentation de phases à partir d'images 2D. Ensuite, les propriétés géométriques des éléments de phases sont extraites et utilisées pour classifier et identifier de nouvelles morphologies. Cela est démontré pour le cas de composites chargés par les fibres courtes naturelles. L'approche de classification à l'aide des algorithmes d'apprentissage est reprise pour étudier les défauts dans un composite, mais en ajoutant les aspects spatiaux. En plus, un descripteur de haut niveau "génome de défauts" est introduit, qui permet de comparer l'état de défauts dans les différents échantillons. La deuxième partie introduit la segmentation structurelle sur l'exemple du renfort tissé du composite. La méthode repose sur un modèle du krigeage dual, calibré par l'erreur de segmentation provenant d'algorithme d'apprentissage. Finalement, le modèle krigé est repris pour construire une formulation stochastique du renfort à travers de processus gaussien et la distribution des propriétés physiques de la microstructure est extraite et prête pour la simulation numérique de la fabrication ou du comportement mécanique
The subject of the thesis project between Laboratoire Roberval at Université de Technologie Compiègne and Center for High-Performance Composites at Ecole Polytechnique de Montréal considered the design of a deep learning architecture with semantics for automatic generation of models of composite materials microstructure based on X-ray microtomographic imagery. The thesis consists of three major parts. Firstly, the methods of microtomographic image processing are presented, with an emphasis on phase segmentation. Then, the geometric features of phase elements are extracted and used to classify and identify new morphologies. The method is presented for composites filled with short natural fibers. The classification approach is also demonstrated for the study of defects in composites, but with spatial features added to the process. A high-level descriptor "defect genome" is proposed, that permits comparison of the state o defects between specimens. The second part of the thesis introduces structural segmentation on the example of woven reinforcement in a composite. The method relies on dual kriging, calibrated by the segmentation error from learning algorithms. In the final part, a stochastic formulation of the kriging model is presented based on Gaussian Processes, and distribution of physical properties of a composite microstructure is retrieved, ready for numerical simulation of the manufacturing process or of mechanical behavior
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Fang, Liming. "Processing of HA/UHMWPE for orthopaedic applications /." View abstract or full-text, 2003. http://library.ust.hk/cgi/db/thesis.pl?MECH%202003%20FANG.

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Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2003.
Includes bibliographical references (leaves 128-138). Also available in electronic version. Access restricted to campus users.
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Yang, Heechun. "Modeling the processing science of thermoplastic composite tow prepreg materials." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/17217.

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Sidbury, Carmen Kay. "Effect of processing conditions on cast particulate reinforced composite materials." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/17607.

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Rhodes, James A. "Processing parameters and microstructure of intermetallic bonded diamond composite materials /." Available to subscribers only, 2008. http://proquest.umi.com/pqdweb?did=1674101441&sid=1&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Rhodes, James Anthony. "Processing Parameters and Microstructure of Intermetallic Bonded Diamond Composite Materials." OpenSIUC, 2008. https://opensiuc.lib.siu.edu/theses/484.

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AN ABSTRACT OF THE THESIS OF James A. Rhodes, for the Master of Science degree in Mechanical Engineering, presented November 3, 2008, at Southern Illinois University Carbondale. TITLE: PROCESSING PARAMETERS AND MICROSTRUCTURE OF INTERMETALLIC BONDED DIAMOND COMPOSITE MATERIALS MAJOR PROFESSORS: Drs. Dale E. Wittmer and Peter J. Filip The general purpose of this research was to produce a material that can outperform conventional materials used in high wear applications such as mining, drilling, and sawing. These types of applications are well suited for diamond materials because of the hardness and wear resistance of diamonds, yet the material must also show an ability to withstand impact loading, and perform at high temperatures. Research in the area of intermetallic bonded diamond (IBD) composites is on-going with the goal of achieving a set of processing parameters which can reliably and repeatedly produce IBD materials with high density and low porosity. The material investigated was composite of nickel aluminide, with a molybdenum dopant, tungsten carbide, and diamond. Experimentation has shown that hot pressing, at appropriate pressures in the range of 1350 - 1450 ° C, can yield results near 100% theoretical density. These experiments have also yielded apparent porosities below 1%. Still, much care must be taken to control time, temperature, and pressure in order to avoid unwanted metal leakage and diamond degradation, and to yield the proper phase formation. In this research, the parameters investigated for specific IBD composites included a range of hot-pressing temperatures and pressures, and the properties measured were porosity, density, and impact resistance. Also included were material analysis done by means of X-ray analysis and SEM with EDS inspection. From the research it was concluded that the ideal set of parameters for processing the intermetallic bonded diamond composite material in a hot press operation lie between 1350 and 1375 °C, and a pressure of between 26.3 and 52.7 MPa. It should also be noted that the process requires strict control on the cycle's heat ramp-up, pressure application, pressure reduction, and cool down cycle. As with most material processing, failure can result from sloppy handling of the die set, and material contamination.
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SONG, HYO-JIN. "PROCESSING PHASE TRANS." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1132249697.

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Books on the topic "Composite materials - Data processing"

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International Conference on Advances in Composite Materials and Structures (7th 2000 Bologna, Italy). Advances in composite materials and structures VII. Edited by Wilde, W. P. de 1946-, Blain W. R. 1952-, and Brebbia C. A. Southampton: WIT, 2000.

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V, Hoa S., Wilde, W. P. de 1946-, and Blain W. R. 1952-, eds. Computer methods in composite materials VI. Southampton, UK: Computational Mechanics Publications, 1998.

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Miravete, A. Optimisation of design of composite structures. Cambridge: Woodhead, 1996.

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Sapuan, S. M. Composite materials technology: Neural network applications. Boca Raton: CRC Press, 2010.

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International, Conference on Computer Aided Design in Composite Material Technology (2nd 1990 Brussels Belgium). Composite materials: Design and analysis : proceedings of the second International Conference on Computer Aided Design in Composite Material Technology. Southampton: Computational Mechanics Publications, 1990.

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1952-, Blain W. R., and Wilde, W. P. De 1946-, eds. Computer aided design in composite material technology IV. Southampton: Computational Mechanics Publications, 1994.

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International Conference on Computer Aided Design in Composite Material Technology (3rd 1992 University of Delaware). Computer aided design in composite material technology III. Edited by Advani Suresh G. Southampton, UK: Computational Mechanics Publications, 1992.

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1952-, Blain W. R., and Wilde, W. P. de 1946-, eds. Computer aided design in composite material technology V. Southampton: Computational Mechanics Publications, 1996.

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SEM Fall Conference on Experimental Mechanics. (1986 Keystone, Colo.). Optical methods in composites: Procedings of the 1986 SEM Fall Conference on Experimental Mechanics : November 2-5, Keystone, Colorado. [Bethel, Conn.]: Society for Experimental Mechanics, 1986.

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Composite airframe structures: Practical design information and data. Hong Kong: Conmilit Press, 1992.

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Book chapters on the topic "Composite materials - Data processing"

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Ahankari, Sandeep S., and Kamal K. Kar. "Functionally Graded Composites: Processing and Applications." In Composite Materials, 119–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49514-8_4.

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Sharma, S. D., L. Sowntharya, and Kamal K. Kar. "Polymer-Based Composite Structures: Processing and Applications." In Composite Materials, 1–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49514-8_1.

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Sharma, Raghunandan, N. L. Ravikumar, Kinshuk Dasgupta, J. K. Chakravartty, and Kamal K. Kar. "Advanced Carbon–Carbon Composites: Processing Properties and Applications." In Composite Materials, 315–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49514-8_10.

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Feher, Lambert E. "Processing Technology for Composite Materials." In Energy Efficient Microwave Systems, 59–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92122-6_6.

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Malchevsky, V. A. "Mechanical Properties of Nitrocellulose Composite Materials." In Processing by Centrifugation, 171–76. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0687-4_24.

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Yegorov, Anton, Marina Bogdanovskaya, Vitaly Ivanov, and Darla Aleksandrova. "Methods of Manufacturing Composite Materials." In Chemical Methods for Processing Nanomaterials, 91–113. First edition. | Boca Raton : CRC Press, Taylor & Francis Group, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429023187-6.

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Ramdani, Noureddine. "Ceramics: Processing, Properties, and Applications." In Polymer and Ceramic Composite Materials, 23–46. Boca Raton : Taylor & Francis, CRC Press, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/b22371-2.

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Jansson, P. "Soft magnetic sintered and composite materials." In Powder Metallurgy Data, 546–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/10689123_29.

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Ramdani, Noureddine. "Processing Methods of Polymer/Ceramic Composites." In Polymer and Ceramic Composite Materials, 69–92. Boca Raton : Taylor & Francis, CRC Press, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/b22371-4.

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Pierre, Alain C. "Hybrid Organic–Inorganic and Composite Materials." In Introduction to Sol-Gel Processing, 421–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38144-8_10.

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Conference papers on the topic "Composite materials - Data processing"

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Simoni, F., R. Castagna, L. Criante, O. Francescangeli, D. E. Lucchetta, and F. Vita. "Polymeric composite materials for optical data storage and processing." In 2007 Digest of the IEEE/LEOS Summer Topical Meetings. IEEE, 2007. http://dx.doi.org/10.1109/leosst.2007.4288407.

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Tian, Zhenhua, Cara Leckey, and Lingyu Yu. "Damage Detection in Composite Structures With Wavenumber Array Data Processing." In ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/smasis2013-3288.

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Guided ultrasonic waves (GUW) have the potential to be an efficient and cost-effective method for rapid damage detection and quantification of large structures. Attractive features include sensitivity to a variety of damage types and the capability of traveling relatively long distances. They have proven to be an efficient approach for crack detection and localization in isotropic materials. However, techniques must be pushed beyond isotropic materials in order to be valid for composite aircraft components. This paper presents our study on GUW propagation and interaction with delamination damage in composite structures using wavenumber array data processing, together with advanced wave propagation simulations. Parallel elastodynamic finite integration technique (EFIT) is used for the example simulations. Multi-dimensional Fourier transform is used to convert time-space wavefield data into frequency-wavenumber domain. Wave propagation in the wavenumber-frequency domain shows clear distinction among the guided wave modes that are present. This allows for extracting a guided wave mode through filtering and reconstruction techniques. Presence of delamination causes spectral change accordingly. Results from 3D CFRP guided wave simulations with delamination damage in flat-plate specimens are used for wave interaction with structural defect study.
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DONMEZ CAVDAR, Ayfer, Ercument OZTURK, and Tugrul CAVDAR. "A Novel Approach to Determine the Amount of Natural Fiber and Polymer of Composite Materials via Artificial Neural Networks." In 2018 International Conference on Artificial Intelligence and Data Processing (IDAP). IEEE, 2018. http://dx.doi.org/10.1109/idap.2018.8620829.

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Lu, Lu, Erina Baynojir Joyee, and Yayue Pan. "Investigation of the Correlation Between Micro-Scale Particle Distribution in 3D Printing and Macroscopic Composite Performance." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-3074.

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To date, various multi-material and multi-functional Additive Manufacturing technologies have been developed for the production of multi-functional smart structures. Those technologies are capable of controlling the local distributions of materials, hence achieving gradient or heterogeneous properties and functions. Such multi-material and multi-functional manufacturing capability opens up new applications in many fields. However, it is still largely unknown that how to design the localized material distribution to achieve the desired product properties and functionalities. To address this challenge, the correlation between the micro-scale material distribution and the macroscopic composite performance needs to be established. In our previous work, a novel Magnetic-field-assisted Stereolithography (M-PSL) process has been developed, for fabricating magnetic particle-polymer composites. Hence, in this work, we focus on the study of magnetic-field-responsive particle-polymer composite design, with the aim of developing some guidelines for predicting the magnetic-field-responsive properties of the composite fabricated by M-PSL process. Micro-scale particle distribution parameters, including particle loading fraction, particle magnetization, and distribution patterns, are investigated. Their influences on the properties of particle-polymer liquid suspensions, and the properties of the 3D printed composites, are characterized. By utilizing the magnetic anisotropy properties of the printed composites, different motions of the printed parts could be triggered at different relative positions under the applied magnetic field. Physical models are established, to predict the particle-polymer liquid suspension properties and the trigger conditions of fabricated parts. Experiments are performed to verify the physical models. The predicted results agree well with the experimental measurements, indicating the effectiveness of predicting the macroscopic composite performance using micro-scale distribution data, and the feasibility of using the physical models for guiding the multi-material and multi-functional composite design.
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Shymanskyi, Volodymyr, Ostap Dumanskyi, and Yurii Prusak. "Mathematical Modeling of Non-Isothermal Moisture Transfer Process and Optimization of Geometric Dimensions of the Construction of Composite Materials with Fractal Structure." In 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP). IEEE, 2020. http://dx.doi.org/10.1109/dsmp47368.2020.9204146.

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Khadke, Kunal R., Weigang An, and Andrés Tovar. "Ceramic Matrix Composite Materials by Design Using Robust Variable Fidelity Optimization." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13348.

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Ceramic matrix composites (CMC) have been widely studied to tailor desired properties at high temperatures. However, research applications involving design tool development for multi-phase material design are at an early stage of development. While numerical CMC modeling provides significant insight on the material performance, the computational cost of the numerical simulations and the type of variables involved in these models are a hindrance for the effective application of design methods. This technical challenge heightens with the need of considering the uncertainty of material processing and service. For this reason, few design researchers have addressed the design paradox that accompanies the rapid design space expansion in CMC material design. The objective of this research is to establish a tractable approach for CMC design considering uncertainty. Traditionally, surrogate models of statistical data are incorporated in the design strategy. An alternative to surrogate modeling is the use of lower fidelity models, which captures some of the physics of the problem and avoids the generation of uncertainty quantification. A variable fidelity optimization (VFO) management framework is incorporated in this research. In the proposed VFO method, a high-fidelity, cohesive, finely meshed finite-element model guides the coarsely meshed, low-fidelity model towards the optimal material design. Uncertainty in CMC material processing (multiphase nucleation and growth) is quantified using a stochastic material microstructural lattice model. The lattice model is verified with laboratory processed microstructures. Dimension reduction for reduction of the number of random variables under consideration. Linear data transformation and principal component analysis (PCA) is traditionally used in dimension reduction. However, nonlinear dimension reduction techniques are better handle complex nonlinear data. This work incorporates Maximum Variance Unfolding (MVU) that preserves global properties of the original data in the low-dimensional representation. The proposed methodology is applied to the optimal distribution of the matrix and the disperse phases in the composite structure. Results are demonstrated in the design of silicon carbide (SiC) fibers in a silicon-nitride (Si3N4) matrix for maximum fracture energy. The results provide a reference for SiC-Si3N4 nanocomposite.
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Cairns, Douglas, John Mandell, and Daniel Samborsky. "Quantification of Processing Parameters for Wind Turbine Blades." In ASME 2003 Wind Energy Symposium. ASMEDC, 2003. http://dx.doi.org/10.1115/wind2003-694.

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All materials have an influence from the processing parameters for structural performance, but composite materials have a much more intimate materials/processing/structural performance connection due to their macroscopic inhomogeneities. In this paper, a link is provided between processing paramers, material architecture, and mechanical performance for various material architectures. In particular, a simple formula is provided to understand the fiber volume of a given part. This fiber volume is then linked with the fatigue performance. These data are indicative of the influence of processing pressures on laminate fiber volumes, independent of processing techniques and can be useful to wind turbine blade manufacturers to prepare processing conditions, a priori, to minimize expensive trial and error manufacturing development.
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Shi, J. "Modeling the Tensile Behaviour of a SiC/SiC Composite by Master Curves." In ASME Turbo Expo 2000: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/2000-gt-0066.

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Scatter in test results is common for relatively brittle materials such as ceramic matrix composites. The scatter may come from differences in material processing conditions, specimen machining/handling and from variations in test parameters for nominally the same test material. Large scatter in test results makes material modeling difficult. In the past, master curve concepts have been proposed to reduce scatter in tensile data and to interpret fatigue/creep results. In this paper, one such concept is examined in detail by applying it to the recent tensile test results of a SiC/SiC composite. It was found that the way to construct master curves did not apply to the CMC studied and thus a new master curve was developed to better represent the tensile data. In addition, the test data were analysed statistically based on the new master curve.
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Rai, Ashwin, Travis Skinner, and Aditi Chattopadhyay. "A Parallelized Generalized Method of Cells Framework for Multiscale Studies of Composite Materials." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11529.

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Abstract This paper presents a parallelized framework for a multi-scale material analysis method called the generalized method of cells (GMC) model which can be used to effectively homogenize or localize material properties over two different length scales. Parallelization is utlized at two instances: (a) for the solution of the governing linear equations, and (b) for the local analysis of each subcell. The governing linear equation is solved parallely using a parallel form of the Gaussian substitution method, and the subsequent local subcell analysis is performed parallely using a domain decomposition method wherein the lower length scale subcells are equally divided over available processors. The parellization algorithm takes advantage of a single program multiple data (SPMD) distributed memory architecture using the Message Passing Interface (MPI) standard, which permits scaling up of the analysis algorithm to any number of processors on a computing cluster. Results show significant decrease in solution time for the parallelized algorithm compared to serial algorithms, especially for denser microscale meshes. The consequent speed-up in processing time permits the analysis of complex length scale dependent phenomenon, nonlinear analysis, and uncertainty studies with multiscale effects which would otherwise be prohibitively expensive.
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Prakash, Raghu V., Mathew John, and Michele Carboni. "A Multiple-Loading Single-Sample Exploratory Method of Estimating Damage in Polymer Composite Materials Through Analysis of X-Ray Tomography Images." In ASME 2018 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/pvp2018-84411.

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This paper presents the results of characterization of damage in polymer composite materials that are in: a) the pristine state, b) subjected to low velocity impact and c) fatigue damaged after impact using x-ray computed tomography (CT) technique. While CT imaging provides excellent details about the presence of the damages, the interpretation of defect size is dependent on setting up of threshold of measurement and intelligent interpretation of data received from the images to ensure proper quantification of damage. It is noted that the selection of pixel intensity (grey value) for thresholding in the quantification of defects through digital image analysis can influence the results in a significant manner. The specimens at different physical conditions in terms of damage or defects imparted by manufacturing method, different loading conditions, etc. were analyzed. The study arrives at the statistical criteria for choosing the right threshold level for image processing for reliable and accurate damage quantification in fiber reinforced polymeric composites. The damage caused to the specimens due to impact as well as post-impact fatigue loading is also estimated.
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Reports on the topic "Composite materials - Data processing"

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Janke, C. J. Structure-Processing-Property Relationships at the Fiber-Matrix Interface in Electron-Beam Cured Composite Materials. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/2732.

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Jurek, Robert J., and David B. Curliss. Innovative Approach for High Strength, High Thermal Conductive Composite Materials: Data Base. Fort Belvoir, VA: Defense Technical Information Center, November 2013. http://dx.doi.org/10.21236/ada592001.

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Johnson, Arvid. Development of a Variable Frequency Microwave Processing System for Post-Curing of Thermoset Polymer Matrix Composite Materials. Fort Belvoir, VA: Defense Technical Information Center, February 1995. http://dx.doi.org/10.21236/ada294945.

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Bruck, Hugh A., Frederick M. Gallant, and Swami Gowrisankaran. Development of a Novel Continuous Processing Technology for Functionally Graded Composite Energetic Materials Using an Inverse Design Procedure. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada448033.

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Ridgard, Chris. Complex Structures for Manned/Unmanned Aerial Vehicles. Delivery Order 0019: Low Temp Composite Processing Mechanical Property Data. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada477586.

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Daniel, Claus, Beth L. Armstrong, L. Curt Maxey, Adrian S. Sabau, Hsin Wang, Patrick Hagans, and Sue Babinec. Final Report - Recovery Act - Development and application of processing and process control for nano-composite materials for lithium ion batteries. Office of Scientific and Technical Information (OSTI), August 2013. http://dx.doi.org/10.2172/1095726.

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Daniel, C., B. Armstrong, C. Maxey, A. Sabau, H. Wang, P. Hagans, and S. and Babinec. CRADA Final Report for NFE-08-01826: Development and application of processing and processcontrol for nano-composite materials for lithium ion batteries. Office of Scientific and Technical Information (OSTI), December 2012. http://dx.doi.org/10.2172/1059845.

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R. Will Grimes, Norman Merriam, L.J. Fahy, C.G. Mones, Jr L.A. Johnson, F.M. Carlson, T.F. Turner, et al. 1.PRELIMINARY EVALUATION OF A PROCESS USING PLASMA REACTIONS TO DESULFURIZE HEAVY OILS; 2.PROCESS SUPPORT AND DEVELOPMENT FOR COMPCOAL; 3.MISCIBLE/IMMISCIBLE GAS INJECTION PROCESSES; 4.COMPCOAL: A PROFITABLE PROCESS FOR PRODUCTION OF A STABLE HIGH-BTU FUEL FROM POWDER RIVER BASIN COAL; 5.EVALUATION OF ALTERNATE FREE RADICAL INITIATORS FOR HEAVY OIL/PLASTICS CO-PROCESSING; 6.DEVELOPMENT OF AN ON-LINE ALKALI MONITORING PROBE; 7.DEVELOPMENT OF A PORTABLE DATA ACQUISITION SYSTEM; 8.BENCH-SCALE TESTING AND VERIFICATION OF PYROLYSIS CONCEPT FOR REMEDIATION OF TANK BOTTOMS; 9.HAZ-FLOTE: EX-SITU DECONTAMINATION OF MATERIALS; 10.IN-SITU AMELIORATION OF ACID MINE DRAINAGE PROBLEMS; 11.THE SYNAG PROCESS: COAL COMBUSTION ASH MANAGEMENT OPTION; 12.CONDITIONING AND HYDRATION REACTIONS ASSOCIATED WITH CLEAN COAL TECHNOLOGY ASH DISPOSAL/HYDRATION. Office of Scientific and Technical Information (OSTI), October 1999. http://dx.doi.org/10.2172/767235.

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