Academic literature on the topic 'Microstructure of materials'

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Journal articles on the topic "Microstructure of materials"

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Murr, L. E. "Microstructure-property hypermaps for shock-loaded materials." Proceedings, annual meeting, Electron Microscopy Society of America 44 (August 1986): 416–19. http://dx.doi.org/10.1017/s0424820100143675.

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Residual deformation-induced metallurgical effects or structure (microstructure)-property relationships are now generally well documented to be the result of stress or strain-induced microstructures, or microstructural changes in polycrystalline metals and alloys. In many cases, strain hardening, work hardening, or other controlling deformation mechanisms can be described by the generation, movement, and interactions of dislocations and other crystal defects which produce drag, or a range of impedances, including obstacles to dislocation motion.
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James, R. D. "Microstructure of Shape-Memory and Magnetostrictive Materials." Applied Mechanics Reviews 43, no. 5S (1990): S189—S193. http://dx.doi.org/10.1115/1.3120802.

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Recent advances in the analysis of microstructure is providing models and methods for treating the kinds of optimization problems that arise in the study of microstructure. The main advance has been the development of theory and methods for treating the case in which arbitrary microstructures compete for the minimum (or maximum). This contrasts for example with micromechanics in which the geometry of the microstructure is assumed, or assumed up to the choice of a few parameters, and then the optimization or stress analysis is carried out under severe geometric restrictions. Micromechanics is effective in dealing with a particular experimentally observed microstructure, but not for understanding microstructures that might be optimal in a certain sense. Much of this recent research has been fueled by critical discussions among engineering scientists, mathematicians and electron microscopists. The intent of this paper is first to summarize, in terms accessible to a broad audience, the nature of this research and then to describe applications to the improvement of shape-memory and magnetostrictive materials. The general part of the lecture will focus on three areas, effective properties of materials, optimal design of materials and phase transformation and active materials. A central role is played by the question “How does one meaningfully average a quantity whose values vary rapidly on a microstructural scale?” A second recurring theme is that the optimal microstructure is predicted to have fine structure. The latter is closely related to the failure of conditions of material stability.
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Kumar, Swarup, Asif Uzzaman, Md Ibrahim Adam, and Sree Biddut Kumar. "A Comprehensive Review of Prospects and Challenges of Microstructure and Functional Properties of Materials." European Journal of Theoretical and Applied Sciences 3, no. 2 (2025): 356–70. https://doi.org/10.59324/ejtas.2025.3(2).31.

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This thorough analysis examines the opportunities and difficulties related to improving the microstructure and functional characteristics of materials. Phases, grain boundaries, dislocations, and other flaws are examples of the microstructure, which is an essential component in defining the functional properties of a material, such as its electrical conductivity, mechanical strength, thermal stability, and resistance to corrosion. The production of materials with improved performance for a range of applications has been made possible by improvements in materials processing methods, such as severe plastic deformation and additive manufacturing, which have provided previously unheard-of control over microstructural properties. On the other hand, maintaining stability under operating circumstances, comprehending the intricate relationships inside microstructures, and generating uniform microstructures on a broad scale continue to be formidable problems. This study gives a comprehensive summary of the most recent developments in microstructure engineering, the ways in which microstructural features affect material properties, and the potential paths for future research in this area.
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Swarup, Kumar, Uzzaman Asif, Ibrahim Adam Md, and Biddut Kumar Sree. "A Comprehensive Review of Prospects and Challenges of Microstructure and Functional Properties of Materials." European Journal of Theoretical and Applied Sciences 3, no. 2 (2025): 356–70. https://doi.org/10.59324/ejtas.2025.3(2).31.

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This thorough analysis examines the opportunities and difficulties related to improving the microstructure and functional characteristics of materials. Phases, grain boundaries, dislocations, and other flaws are examples of the microstructure, which is an essential component in defining the functional properties of a material, such as its electrical conductivity, mechanical strength, thermal stability, and resistance to corrosion. The production of materials with improved performance for a range of applications has been made possible by improvements in materials processing methods, such as severe plastic deformation and additive manufacturing, which have provided previously unheard-of control over microstructural properties. On the other hand, maintaining stability under operating circumstances, comprehending the intricate relationships inside microstructures, and generating uniform microstructures on a broad scale continue to be formidable problems. This study gives a comprehensive summary of the most recent developments in microstructure engineering, the ways in which microstructural features affect material properties, and the potential paths for future research in this area. 
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Suzuki, Asuka, Yusuke Sasa, Makoto Kobashi, et al. "Persistent Homology Analysis of the Microstructure of Laser-Powder-Bed-Fused Al–12Si Alloy." Materials 16, no. 22 (2023): 7228. http://dx.doi.org/10.3390/ma16227228.

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The laser powder bed fusion (L-PBF) process provides the cellular microstructure (primary α phase surrounded by a eutectic Si network) inside hypo-eutectic Al–Si alloys. The microstructure changes to the particle-dispersed microstructure with heat treatments at around 500 °C. The microstructural change leads to a significant reduction in the tensile strength. However, the microstructural descriptors representing the cellular and particle-dispersed microstructures have not been established, resulting in difficulty in terms of discussion regarding the structure–property relationship. In this study, an attempt was made to analyze the microstructure in L-PBF-built and subsequently heat-treated Al–12Si (mass%) alloys using the persistent homology, which can analyze the spatial distributions and connections of secondary phases. The zero-dimensional persistent homology revealed that the spacing between adjacent Si particles was independent of Si particle size in the as-built alloy, whereas fewer Si particles existed near large Si particles in the heat-treated alloy. Furthermore, the first principal component of a one-dimensional persistent homology diagram would represent the microstructural characteristics from cellular to particle-dispersed morphology. These microstructural descriptors were strongly correlated with the tensile and yield strengths. This study provides a new insight into the microstructural indices describing unique microstructures in L-PBF-built alloys.
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Hamidpour, Pouria, Alireza Araee, Majid Baniassadi, and Hamid Garmestani. "Multiphase Reconstruction of Heterogamous Materials Using Machine Learning and Quality of Connection Function." Materials 17, no. 13 (2024): 3049. http://dx.doi.org/10.3390/ma17133049.

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Establishing accurate structure–property linkages and precise phase volume accuracy in 3D microstructure reconstruction of materials remains challenging, particularly with limited samples. This paper presents an optimized method for reconstructing 3D microstructures of various materials, including isotropic and anisotropic types with two and three phases, using convolutional occupancy networks and point clouds from inner layers of the microstructure. The method emphasizes precise phase representation and compatibility with point cloud data. A stage within the Quality of Connection Function (QCF) repetition loop optimizes the weights of the convolutional occupancy networks model to minimize error between the microstructure’s statistical properties and the reconstructive model. This model successfully reconstructs 3D representations from initial 2D serial images. Comparisons with screened Poisson surface reconstruction and local implicit grid methods demonstrate the model’s efficacy. The developed model proves suitable for high-quality 3D microstructure reconstruction, aiding in structure–property linkages and finite element analysis.
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Müller, Martin, Marie Stiefel, Björn-Ivo Bachmann, Dominik Britz, and Frank Mücklich. "Overview: Machine Learning for Segmentation and Classification of Complex Steel Microstructures." Metals 14, no. 5 (2024): 553. http://dx.doi.org/10.3390/met14050553.

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The foundation of materials science and engineering is the establishment of process–microstructure–property links, which in turn form the basis for materials and process development and optimization. At the heart of this is the characterization and quantification of the material’s microstructure. To date, microstructure quantification has traditionally involved a human deciding what to measure and included labor-intensive manual evaluation. Recent advancements in artificial intelligence (AI) and machine learning (ML) offer exciting new approaches to microstructural quantification, especially classification and semantic segmentation. This promises many benefits, most notably objective, reproducible, and automated analysis, but also quantification of complex microstructures that has not been possible with prior approaches. This review provides an overview of ML applications for microstructure analysis, using complex steel microstructures as examples. Special emphasis is placed on the quantity, quality, and variance of training data, as well as where the ground truth needed for ML comes from, which is usually not sufficiently discussed in the literature. In this context, correlative microscopy plays a key role, as it enables a comprehensive and scale-bridging characterization of complex microstructures, which is necessary to provide an objective and well-founded ground truth and ultimately to implement ML-based approaches.
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Tian, Yan, Mingchun Zhao, Wenjian Liu, et al. "Comparison on Tensile Characteristics of Plain C–Mn Steel with Ultrafine Grained Ferrite/Cementite Microstructure and Coarse Grained Ferrite/Pearlite Microstructure." Materials 14, no. 9 (2021): 2309. http://dx.doi.org/10.3390/ma14092309.

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This work investigated the tensile characteristics of plain C–Mn steel with an ultrafine grained ferrite/cementite (UGF/C) microstructure and coarse-grained ferrite/pearlite (CGF/P) microstructure. The tensile tests were performed at temperatures between 77 K and 323 K. The lower yield and the ultimate tensile strengths were significantly increased when the microstructure was changed from the CGF/P to the UGF/C microstructures, but the total elongation and the uniform elongation decreased. A microstructural change from the CGF/P microstructure to the UGF/C microstructure had an influence on the athermal component of the lower yield and the ultimate tensile strengths but not on the thermal component. The UGF/C microstructure with a higher carbon content provided a higher strength without losing ductility because cementite particles restrained necking.
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Sachana, Suphattra, Kohei Morishita, and Hirofumi Miyahara. "Microstructural Examination of Molten Marks on Copper Wire for Fire Investigation." Forensic Sciences 3, no. 1 (2023): 12–19. http://dx.doi.org/10.3390/forensicsci3010002.

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Fire investigators have attempted to study fire behaviors through microstructural examination of molten marks on copper wire. However, there have not been many studies on the metallurgical examination of real-world cases. This research examined the surface morphology and microstructure in the longitudinal section of molten marks on copper wire from various fire scenes to explain how they formed and identify the surrounding materials. The results show that the foreign elements discovered via EDS on the surface of molten marks vary depending on their environment. Molten mark microstructures differed even if they were collected from the same fire scene; a distinct microstructure implies different molten mark formations. Moreover, the presence of residual elements in the microstructure indicates the existence of surrounding materials during formation in a fire. Therefore, microstructural diversity and the presence of residual elements may guide fire investigators in explaining the formation of molten marks and the fire environment for fire investigation.
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Griffiths, Malcolm. "Microstructural Effects on Irradiation Creep of Reactor Core Materials." Materials 16, no. 6 (2023): 2287. http://dx.doi.org/10.3390/ma16062287.

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The processes that control irradiation creep are dependent on the temperature and the rate of production of freely migrating point defects, affecting both the microstructure and the mechanisms of mass transport. Because of the experimental difficulties in studying irradiation creep, many different hypothetical models have been developed that either favour a dislocation slip or a mass transport mechanism. Irradiation creep mechanisms and models that are dependent on the microstructure, which are either fully or partially mechanistic in nature, are described and discussed in terms of their ability to account for the in-reactor creep behaviour of various nuclear reactor core materials. A rate theory model for creep of Zr-2.5Nb pressure tubing in CANDU reactors incorporating the as-fabricated microstructure has been developed that gives good agreement with measurements for tubes manufactured by different fabrication routes having very different microstructures. One can therefore conclude that for Zr-alloys at temperatures < 300 °C and stresses < 150 MPa, diffusional mass transport is the dominant creep mechanism. The most important microstructural parameter controlling irradiation creep for these conditions is the grain structure. Austenitic alloys follow similar microstructural dependencies as Zr-alloys, but up to higher temperature and stress ranges. The exception is that dislocation slip is dominant in austenitic alloys at temperatures < 100 °C because there are few barriers to dislocation slip at these low temperatures, which is linked to the enhanced recombination of irradiation-induced point defects.
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Dissertations / Theses on the topic "Microstructure of materials"

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Parrod, Perrine. "A Lattice Model for Fibrous Materials." Fogler Library, University of Maine, 2002. http://www.library.umaine.edu/theses/pdf/ParrodP2002.pdf.

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Haubensak, Frederick G. (Frederick George). "Microstructure design of porous brittle materials." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/26876.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 1994.<br>Includes bibliographical references (leaves 214-223).<br>by Frederick George Haubensak.<br>Ph.D.
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Cordero, Zachary C. (Zachary Copoulos). "Microstructure design of mechanically alloyed materials." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101560.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Materials Science and Engineering, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 107-120).<br>Nanocrystalline metals have exceptional mechanical properties that make them attractive for structural applications. However, these materials' properties tend to degrade due to grain growth when they are exposed to high temperatures; this makes producing bulk, nanocrystalline components particularly difficult as the most promising synthesis methods involve high temperature densification of powders or foils. Several alloy design strategies have been developed to overcome these thermal stability issues, but their efficacy depends on the spatial distribution of the stabilizing element in the feedstock materials, which are typically prepared using extensive plastic deformation or mechanical alloying. There is thus a need to predict the chemical mixity of mechanically alloyed materials, and this thesis seeks to address this need. To this end, phase strength effects are incorporated into a kinetic Monte Carlo simulation of a mechanically-driven, binary alloy, which can provide quantitative insight into the combination of processing and material parameters that dictate the steady state chemical mixity. Using such simulations, dynamical phase diagrams are generated that predict temperatures and compositions at which a couple with a given phase strength mismatch should chemically homogenize during mechanical alloying. Several of these dynamical phase diagrams are validated using mechanical alloying experiments, in which tungsten-transition metal couples with various phase strength mismatches are mechanically alloyed in a high energy ball mill. This thesis also describes an alloy design case study in which the insights from these simulations and experiments are used to develop a nanocrystalline W-based (W-7Cr-9Fe, at%) alloy powder that can be rapidly compacted to high relative densities while maintaining ultrafine grain sizes. Two-phase compacts made from the alloy exhibit microhardnesses of 13 GPa and dynamic compressive strengths in excess of 4 GPa. Furthermore, postmortem images of compressed micropillars machined out of these compacts suggest that this alloy deforms by shear localization. The penetration performance of this alloy is explored in sub-scale ballistic tests into concrete targets, and is found to be at least as good as current state-of-the-art penetrator materials.<br>by Zachary C. Cordero.<br>Ph. D.
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Ye, Yueping. "Microstructure and properties of epoxy/halloysite nanocomposite /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?MECH%202006%20YE.

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Fan, Zhongyun. "Microstructure and mechanical properties of multiphase materials." Thesis, University of Surrey, 1993. http://epubs.surrey.ac.uk/776187/.

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A systematic method for quantitative characterisation of the topological properties of two-phase materials has been developed, which offers an effective way for the characterisation of twophase materials. In particular, a topological transformation has been proposed, which allows a two-phase microstructure with any grain size, grain shape and phase distribution to be transformed into a three-microstructural-element body (3-E body). It has been shown that the transformed 3·E body is mechanically equivalent along the aligned direction with the original microstructure. The Hall·Petch relation developed originally for single-phase metals and alloys has been successfully extended to two~ductile-phase alloys. It has been shown that the extended Hall- Petch relation can separate the individual contribution to the overall efficiency of different kinds of boundaries as obstacles to dislocation motion. A new approach to deformation behaviour of two-ductile-phase alloys has been developed based on Eshelby's continuum transformation theory and the microstructural characterisation developed in this thesis. In contrast to the existing theories of plastic deformation, this approach can consider the effect of microstructural parameters, such as volume fraction, grain size, grain shape and phase distribution. In particular, the interactions between particles of the same phase have also been taken into account by the topological transformation. Consequently, the newly developed theory can be applied in principle to a composite with any volume fraction. This approach has been applied to various two-ductile-phase alloys to predict the true stress·true strain curves, the internal stresses and the in situ stress and plastic strain distribution in each microstructural element. It is found that the theoretical predictions are in very good agreement with the experimental results drawn from the literature. A new approach has also been developed for the prediction of the Young's moduli of particulate two-phase composites. Applications of this approach to AVSiCp and Co/WCp composite systems and polymeric matrix composites have shown that the present approach is superior to both the Hashin and Shtrikman's bounds and the mean field theory in terms of the good agreement between the theoretical predictions and the experimental results from the literature. Furthermore, this approach can be extended to predict the Young's moduli of multiphase composites by iteration. This iteration approach has been tested on some Ti-6Al- 4V-TiB composites. An experimental investigation has being carried out to study the in situ Ti-6AI-4V-TiB (hereafter, Ti/TiB is used for convenience) metal matrix composites produced through a rapid solidification route. Production of in situ Ti/fiB metal matrix composites through rapid solidification route can completely exclude problems such as wetting and chemical reaction encountered by alternative production routes. The relevant microstructural phenomena in in situ Ti/TiB metal matrix composites, such as the growth habit of TiB phase and the w-phase transformation, have also been investigated. The TiB phase in the consolidated composites exhibits two distinguished morphologies: needle-shaped TiB and nearly equiaxed TiB. The needle-shaped TiB phase formed mainly from the solidification process always grows along the [010] direction of the B27 unit cell, leaving the cross-section of the needles consistently enclosed either by (100) and {101 1 type planes or by (100) and {102l type planes. It is also found that the cross-sections of the nearlyequiaxed TiB particles formed from the B supersaturated Ti solid solution are also bounded by the same planes as above, although the growth rate along the [010] direction has been considerably reduced. Experiments have also been perfonned to investigate the effect of pre-hipping heat treatments on the microstructure of RS products. It is found that pre-hipping heat treatments at a temperature below 800°C can lead to the precipitation of fine equiaxed TiB particles from the B super-saturated Ti solid solution, which are uniformly distributed throughout the a+B matrix. The majority of those TiB precipitates do not grow up by Ostwald ripening process after long time exposure at higher temperature. Microstructural examination has confirmed the existence of a B to w transformation in RS Ti- 6AI-4V alloys with and without B addition after consolidation. In addition, the B to w transformation has also been observed in RS Ti-Mn-B alloys after consolidation. Systematic electron diffraction work on the B-phase offers a strong experimental evidence for the B to W transformation mechanism proposed by Williams et al.
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Donatus, Uyime. "Corrosion protection and microstructure of dissimilar materials." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/corrosion-protection-and-microstructure-of-dissimilar-materials(b419af19-3459-4218-9aff-b1b857a36cb4).html.

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Corrosion Protection and Microstructure of Dissimilar Materials. A thesis submitted to The University of Manchester for the degree of Doctor of Philosophy by Uyime, Donatus on the 30th of July, 2015.Investigations on the micro- and macro-galvanic corrosion mechanisms in un-coupled AA2024-T3 alloys, AA2024-T3 coupled with mild steel (with and without the influence of cadmium and under varying solution temperatures), dissimilar friction stir welds of AA5083-O and AA6082-T6 alloys and a friction stir welded AA7018 alloy have been carried out. Selected methods of preventing and / or minimising the investigated corrosion phenomena were also investigated. The investigation of the corrosion behaviour of the uncoupled AA2024-T3 alloy revealed that there are two distinct stages of polarization during the galvanostatic polarization of AA2024T3 alloy in de-aerated 3.5% NaCl solution. From the first stage, the relationships between the pitting incubation time, pitting potential and applied current density for AA2024T3 alloy in the de-aerated condition were established. Whilst studying the in situ corrosion phenomena on the uncoupled AA2024-T3 alloy using the scanning vibrating electrode technique (SVET),three distinct stages in the variation of the recorded current density values with time were revealed. Attempts were made to correlate these stages with the corrosion behaviour of the alloy. The study of the galvanic interactions between AA2024-T3 and mild steel revealed that AA2024-T3 is anodic to mild steel at room temperature, but polarity reversal of the couple starts (from a temperature as low as 35 oC upwards) when the couple is introduced into the solution above ambient temperature. Importantly, AA2024-T3 is clearly cathodic to mild steel at 60 oC, although with very low measured galvanic current values. Cadmium coating (at ambient temperature) on the mild steel reduced the galvanic corrosion of the couple by as much as 20 µA/cm2 because of the formation of a CdO/Cd(OH)2 layer on mild steel. In the study of the dissimilar friction stir welds of AA5083-O and AA6082-T6 alloys, it was observed that material flows (pushes but does not mix) more from the advancing side into the retreating side and that the mixture of materials is far from complete. Two welding speeds were compared; the welding speeds have no clear influence on the microhardness, but affected the mixing proportions in the flow arm and in the nugget stem. The faster welding speed resulted in increased susceptibility to corrosion because of the reduced tool rotation per weld length for heat generation and the mixing of materials. The heat affected zones of both alloys and the transition regions between the AA5083-O alloy and the AA6082-T6 alloy rich zones have been identified to be the regions that are most susceptible to corrosion. Anodizing the weld in order to minimise corrosion showed that the AA5083-O alloy rich zones materials, in the weld, oxidizes more during anodizing compared with the AA6082-T6 alloy rich zones. Sputtering deposition prior to anodizing, promotes the formation of a uniform oxide film across the entire weld zones and prevents the boundary dissolution that occurs when the dissimilar weld of AA5083-O and AA6082-T6 alloys is anodized in 4 M H2SO4 solution at 15 V at ambient temperature. The investigation of the corrosion susceptible regions in friction stir welded AA7018 alloy, which was based on the use of ISO 11846 immersion test and the potentiodynamic polarization technique in naturally aerated 3.5 % NaCl solution, revealed intergranular, crystallographic and second phase particle influenced mode of attack. The heat affected zone was found to be the most susceptible to corrosion.
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Stojakovic, Dejan Doherty R. D. Kalidindi Surya. "Microstructure evolution in deformed and recrystallized electrical steel /." Philadelphia, Pa. : Drexel University, 2008. http://hdl.handle.net/1860/2728.

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García, Muñoz Ramiro Edwin 1972. "Modeling effects of microstructure for electrically active materials." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/29967.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2003.<br>Includes bibliographical references (leaves 141-150).<br>A theoretical framework is proposed for the description of multifunctional material properties. The focus of this theory is on deriving equilibrium and kinetic equations for electrically active materials, particularly for rechargeable lithium-ion batteries and piezoelectric and electrostrictive microstructures. In both cases, the finite element method is applied to account for the effects of microstructure. Other derived equations that result from this theory are the wave equation in the limit of chemically homogeneous solids, and transport equations of charged species in conductive, non-polarizable, magnetic solids, as well as in polarizable non-magnetizable solids. The effects of microstructure in cathode materials for the Li[sub]yC₆/Mn₂O₄ rechargeable battery system are modeled, and several two-dimensional arrangements of particles are proposed to increase its power and energy density. Four ways are suggested to improve battery performance: controlling the transport paths to the back of the cathode, maximizing the surface area for intercalating lithium ions, engineering the porosity of the electrolyte phase, and distributing the lithium-ions evenly at the front of the cathode. The effects of grain size and crystallographic texture of piezoelectric and electrostrictive materials is simulated for BaTiO₃ and PZN-PT. Results show that the high anisotropy of the underlying single-crystal properties enhances the macroscopic piezoelectric response with respect to a single-crystal. For BaTiO₃, d₃₁ and d₃₃ are enhanced at the expense of the spatial contributions of d₁₅, and an optimal response is predicted for samples that are not perfectly textured. Similarly, for PZN-PT, an enhancement in d₁₅ is predicted. For cubic BaTiO₃, the low anisotropy of the underlying crystal structure induces a uniform decrease of the macroscopic electrostrictive constant Q₁₁.<br>by Ramiro Edwin García Muñoz.<br>Ph.D.
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Zhang, Jie. "Microstructure study of cementitious materials using resistivity measurement /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?CIVL%202008%20ZHANG.

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Singh, Harpreet. "Computer simulations of realistic microstructures implications for simulation-based materials design/." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/22564.

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Thesis (Ph. D.)--Materials Science and Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Dr. Arun Gokhale; Committee Member: Dr. Hamid Garmestani; Committee Member: Dr. Karl Jacob; Committee Member: Dr. Meilin Liu; Committee Member: Dr. Steve Johnson.
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Books on the topic "Microstructure of materials"

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United States. National Aeronautics and Space Administration., ed. Microstructure: Property correlation. National Aeronautics and Space Administration, 1990.

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Li, James C. M. 1925-, ed. Microstructure and properties of materials. World Scientific, 1996.

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M, Monteiro Paulo J., ed. Concrete: Microstructure, properties, and materials. 3rd ed. McGraw-Hill, 2005.

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Erich, Tenckhoff, and Vöhringer O, eds. Microstructure and mechanical properties of materials. DGM Informationsgesellschaft, 1991.

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-B, Mühlhaus H., ed. Continuum models for materials with microstructure. Wiley, 1995.

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R, Uhlmann D., and Kreidl N. J, eds. Structure, microstructure, and properties. Academic Press, 1990.

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Albers, Bettina. Continuous Media with Microstructure. Springer-Verlag Berlin Heidelberg, 2010.

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Kurzydłowski, Krzysztof J. The quantitative description of the microstructure of materials. CRC Press, 1995.

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Zhou, Liucheng, and Weifeng He. Gradient Microstructure in Laser Shock Peened Materials. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1747-8.

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Mittemeijer, Eric J., and Paolo Scardi, eds. Diffraction Analysis of the Microstructure of Materials. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-06723-9.

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Book chapters on the topic "Microstructure of materials"

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Suryanarayana, C. "Microstructure: An Introduction." In Aerospace Materials and Material Technologies. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2143-5_6.

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Gottstein, Günter. "Microstructure." In Physical Foundations of Materials Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09291-0_2.

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Borne, L., M. Herrmann, and C. B. Skidmore. "Microstructure and Morphology." In Energetic Materials. Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527603921.ch9.

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Anderson, J. C., K. D. Leaver, R. D. Rawlings, and J. M. Alexander. "Microstructure and Properties." In Materials Science. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-6826-5_10.

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Shar, Muhammad Ali, and Abdulaziz Alhazaa. "Microstructure and Composition." In Engineering Materials. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0005-2_4.

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Srolovitz, David J., and Long-Qing Chen. "Introduction: Microstructure." In Handbook of Materials Modeling. Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3286-2_107.

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Torquato, S. "Microstructure Optimization." In Handbook of Materials Modeling. Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3286-2_124.

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Srolovitz, David J., and Long-Qing Chen. "Introduction: Microstructure." In Handbook of Materials Modeling. Springer Netherlands, 2005. http://dx.doi.org/10.1007/978-1-4020-3286-8_107.

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Torquato, S. "Microstructure Optimization." In Handbook of Materials Modeling. Springer Netherlands, 2005. http://dx.doi.org/10.1007/978-1-4020-3286-8_124.

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Was, Gary S. "Dislocation Microstructure." In Fundamentals of Radiation Materials Science. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3438-6_7.

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Conference papers on the topic "Microstructure of materials"

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Cao, Liu, Dian Li, Sydney Fields, and Yufeng Zheng. "Microstructure Characterization of Additively Manufactured Alloy 718." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-19419.

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Abstract Additive manufacturing (AM) provides a new approach to the design and manufacture of components from metal powder and provides unique advantages over traditional manufacturing. An industry joint project was recently conducted to investigate the performance of AM’d alloy 718 (UNS N077168) in sour conditions specified in NACE(1) MR0175/ISO(2)15156. The evident variation of properties and performance was noticed on three batches of AM 718 samples from different vendors, even though they were solution annealed and aged individually to meet the same specification of API(3) 6ACRA 150K grade. A thorough microstructure characterization were performed on three AM 718 materials to reveal the differences in γ grains, strengthening γ’ and γ” precipitates, other precipitates, and microstructural features. All three AM 718 materials showed different microstructures from each other, and they were also different from wrought 718 150K grade. The results suggest specific heat-treatment for AM 718 to achieve comparable microstructure and thus properties to wrought 718.
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Echaniz, G., C. Morales, and T. Pérez. "The Effect of Microstructure on the KISSC Low Alloy Carbon Steels." In CORROSION 1998. NACE International, 1998. https://doi.org/10.5006/c1998-98120.

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Abstract In this work, the effect of microstructure of low alloy carbon steels on the resistance to sulfide stress cracking (SSC) was analyzed. Several modified AISI 4130 steels (most of them microalloyed with V, Nb, Ti or B) were heat treated so different yield strengths and microstructures were obtained. The SSC performance was evaluated using Double-Cantilever-Beam Test (Method D NACE TM0177-96). According with their microstructure, the materials can be divided in three different types: materials that presented some percentage of upper bainite in their microstructure (composed of laths of approximately 1 micron wide and large carbides at the border of the laths) presented significantly lower SSC resistance. Materials which had microstructure composed mainly of tempered lath martensite had an intermediate resistance. In addition, the presence of large grain boundaries reduced the SSC resistance. The best resistance was obtained with a microstructure that is a mixed of tempered lath martensite and a phase composed of ferrite and carbides; this material presented also a fine dispersion of (CN)Nb.
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Cao, Fang, Weiji Huang, Russell R. Mueller, Ning Ma, Srinivasan Rajagopalan, and Cecilie Haarseth. "A Fundamental Understanding of the Sulfide Stress Cracking Behavior of a 125 Ksi Grade Casing Material in Sour Environments." In CORROSION 2014. NACE International, 2014. https://doi.org/10.5006/c2014-4257.

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Abstract It has been known that the microstructure of high strength steels can influence the hydrogen absorption, thus the sulfide stress cracking (SSC) resistance of the material. Recently, 125 ksi grade casing materials have been developed that have good SSC resistance in mild sour environments. However, the relationship between these materials’ microstructure and their SSC resistance has not been well understood. In this investigation, a proprietary 125 ksi grade casing material with varying wall thickness, yield strength and hardness were used. The internal strain of the material after tempering was measured using X-ray diffraction technique. The prior austenite grain size of these materials was characterized using electron backscattered diffraction (EBSD) technique. Additional microstructural factors of these materials were investigated using transmission electron microscopy (TEM), including the precipitate shape, size, and distribution. A fundamental understanding of the SSC resistance of this 125 ksi grade casing material was thus developed by correlating the evaluated steel microstructural features with the measured KISSC values of these mateirals.
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Rama Reddy S, Kollibala Siva, Prashant Kumar Shrivastava, Abburi Lakshman Kumar, and Durgesh Nandan. "Microstructure and Tribological properties of bearing materials Copper and Tin." In 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR). IEEE, 2024. https://doi.org/10.1109/iciestr60916.2024.10798233.

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Xu, Hongyi, Yang Li, Catherine Brinson, and Wei Chen. "Descriptor-Based Methodology for Designing Heterogeneous Microstructural Materials System." 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/detc2013-12232.

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In designing a microstructural materials system, there are several key questions associated with design representation, design evaluation, and design synthesis: how to quantitatively represent the design space of a heterogeneous microstructure system using a small set of design variables, how to efficiently reconstruct statistically equivalent microstructures for design evaluation, and how to quickly search for the optimal microstructure design to achieve the desired material properties. This paper proposes a new descriptor-based methodology for designing microstructural materials systems. A descriptor-based characterization method is proposed to provide a quantitative representation of material morphology using a small set of microstructure descriptors covering features of material composition, dispersion status, and phase geometry at different levels of representation. A descriptor-based multi-phase microstructure reconstruction algorithm is developed which allows efficient stochastic reconstruction of microstructures for Finite Element Analysis (FEA) of material behavior. The choice of descriptors for polymer nanocomposites is verified by establishing a mapping between the finite set of descriptors and the infinite dimensional correlation function. Finally, the descriptor-based representation allows the use of parametric optimization approach to search the optimal microstructure design that meets the target material properties. To improve the search efficiency, this paper employs state-of-the-art computational design methods such as Design of Experiment (DOE), metamodeling, statistical sensitivity analysis, and multi-objective optimization. The proposed methodology is demonstrated using the design of a polymer nanocomposites system.
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Zhang, Yichi, Daniel W. Apley, and Wei Chen. "A Structural Equation Modeling Based Approach for Identifying Key Descriptors in Microstructural Materials Design." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47473.

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In design of advanced heterogeneous materials system, microstructures play an important role as a link between processing and material properties. An accurate and efficient representation of material microstructures is necessary. Our prior work applied a supervised ranking algorithm to identify key microstructure descriptors, however the approach falls short in identifying redundancy in descriptors and is not reliable when the training sample size is small. In this paper, we propose a Structural Equation Modeling (SEM) based approach to identify significant microstructure descriptors based on either correlation functions (CF) or material properties, or both. By building a reflective structural model, we are able to deal with high correlations among all candidate descriptors, gain more insights into their relations, and identify latent factors for categorizing microstructure features. The proposed approach begins with an Exploratory Factor Analysis (EFA) for grouping and reducing descriptors to determine the proper structure of microstructure descriptors as indicators of latent factors. The SEM analysis is then applied to identify the key descriptors using the Partial Least Squares (PLS) algorithm. The nanodielectric system with epoxy-nanosilica is used as an example to illustrate and validate the proposed approach. The potential use of identified key microstructure descriptors for optimal design of microstructural materials is discussed.
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Wilson, Alan R., Richard F. Muscat, Ian Jackson, Christina Olsson-Jacques, and John Retchford. "Directly electroplated microstructure." In Smart Materials and MEMS, edited by Alan R. Wilson and Hiroshi Asanuma. SPIE, 2001. http://dx.doi.org/10.1117/12.424414.

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Wu, Yulun, and Yumeng Li. "How to Encode Microstructure in Machine Learning: A Comparison Study." In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-116704.

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Abstract Accurately predicting the response of materials under different loading conditions is crucial for designing and developing new materials with desired properties. However, this process can be computationally expensive and challenging, especially for heterogeneous materials with complex microstructures. Recently, machine learning has been widely used to address the challenge for developing predictive models for various material systems with reduced reliance on extensive experimental testings and repetitive expensive physics simulations. The microstructure of a material plays a critical role in determining its properties, making it a key factor that needs to be accounted for in predictive modeling. Heterogeneous materials, specifically, often have complex microstructures with numerous features like pores, inclusions, and grain boundaries, which need to be accurately captured but is hard to be quantified for developing machine learning based predictive models. Therefore, accurate encoding of microstructural features is essential for making reliable predictions. Nevertheless, how to effectively and efficiently capture the complex microstructural features in developing machine learning based predictive models largely remains an open question for researchers in the field of materials science. In this paper, we present a comparison study of different encoding methods for microstructures in machine learning models. Specifically, we investigate pre-defined encoding methods and automatic encoding methods for a synthetic heterogeneous material system. the performance of each machine learning model is evaluated by predicting material responses such as strain energy. Our results show that convolutional neural networks (CNNs) have the ability to auto-encode the microstructure information of material and make promising prediction, especially when good pre-defined descriptors are not available. Overall, this study provides valuable insights into the performance of different encoding methods for microstructures in machine learning models, and can inform the development of more accurate and efficient models for materials science applications.
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Li, Xiaolin, Zijiang Yang, L. Catherine Brinson, Alok Choudhary, Ankit Agrawal, and Wei Chen. "A Deep Adversarial Learning Methodology for Designing Microstructural Material Systems." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85633.

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In Computational Materials Design (CMD), it is well recognized that identifying key microstructure characteristics is crucial for determining material design variables. However, existing microstructure characterization and reconstruction (MCR) techniques have limitations to be applied for materials design. Some MCR approaches are not applicable for material microstructural design because no parameters are available to serve as design variables, while others introduce significant information loss in either microstructure representation and/or dimensionality reduction. In this work, we present a deep adversarial learning methodology that overcomes the limitations of existing MCR techniques. In the proposed methodology, generative adversarial networks (GAN) are trained to learn the mapping between latent variables and microstructures. Thereafter, the low-dimensional latent variables serve as design variables, and a Bayesian optimization framework is applied to obtain microstructures with desired material property. Due to the special design of the network architecture, the proposed methodology is able to identify the latent (design) variables with desired dimensionality, as well as capturing complex material microstructural characteristics. The validity of the proposed methodology is tested numerically on a synthetic microstructure dataset and its effectiveness for materials design is evaluated through a case study of optimizing optical performance for energy absorption. Additional features, such as scalability and transferability, are also demonstrated in this work. In essence, the proposed methodology provides an end-to-end solution for microstructural design, in which GAN reduces information loss and preserves more microstructural characteristics, and the GP-Hedge optimization improves the efficiency of design exploration.
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Bentz, Dale P., Phillip M. Halleck, Michelle N. Clarke, Edward J. Garboczi, and Abraham S. Grader. "Microstructure and Materials Science of Fire Resistive Materials." In Structures Congress 2005. American Society of Civil Engineers, 2005. http://dx.doi.org/10.1061/40753(171)46.

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Reports on the topic "Microstructure of materials"

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Caturla, M. Microstructure evolution in irradiated materials. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/15002353.

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Daniel. L52353 Materials Selection, Welding and Weld Monitoring - Optimized Welding Solutions for X100 Line Pipe. Pipeline Research Council International, Inc. (PRCI), 2012. http://dx.doi.org/10.55274/r0010650.

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Two rounds of pipe welding were completed to understand the influence of the welding parameters on the weld metal and HAZ properties and microstructure. Thermal data was also obtained from these welds. This information was used to refine the thermal microstructural model with predictive capabilities. Essential welding variables were validated on flat plate experiments and recommendations for welding process control established. Ultimately, these recommendations were evaluated by pipeline welding contractors to assess its viability for field application.
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Shannon, Jameson, Cody Strack, and Robert Moser. Constituent materials characterization for virtual concrete microstructure generation. Engineer Research and Development Center (U.S.), 2019. http://dx.doi.org/10.21079/11681/33054.

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Miao, Yinbin, Sanjiv Sinha, and Abdellatif Yacout. Thermal Conductivity Measurement of Microstructure in Irradiated Materials. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1810089.

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Ji, Chuanshu. Statistical Modeling and Simulation for Microstructure in Materials Science. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada384504.

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Skalicky, Peter, Josef Fidler, Roland Groessinger, and Hans Kirchmayr. Anisotropy and Microstructure of Rare Earth Permanent Magnet Materials. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada170788.

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Adams, Brent L., and Surya R. Kalidindi. Microstructure Sensitive Design: A Quantitative Approach to New Materials Development. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada430610.

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Jennings, H. M. The effects of moisture on the microstructure of cement-based materials. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/7282179.

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Kelly, James F. Application of optical image analysis to quantitative microstructure characterization of composite materials. National Bureau of Standards, 1987. http://dx.doi.org/10.6028/nbs.ir.87-3681.

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Castafieda, P. P. Metal-Matrix Composites and Porous Materials: Constitute Models, Microstructure Evolution and Applications. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada376316.

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