Academic literature on the topic 'Multi-Scale Material Characterization'
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Journal articles on the topic "Multi-Scale Material Characterization"
Lamberti, Luciano. "Advances in Multi-Scale Mechanical Characterization of Materials with Optical Methods." Materials 14, no. 23 (November 28, 2021): 7282. http://dx.doi.org/10.3390/ma14237282.
Full textPearce, Chris, and Lukasz Kaczmarczyk. "Multi-Scale Modeling of Heterogeneous Materials and the Validation Challenge." Applied Mechanics and Materials 70 (August 2011): 345–50. http://dx.doi.org/10.4028/www.scientific.net/amm.70.345.
Full textHatzell, Kelsey. "(Invited) Multi-Scale Implications of Material Heterogeneity on Solid State Battery Performance." ECS Meeting Abstracts MA2023-01, no. 6 (August 28, 2023): 1073. http://dx.doi.org/10.1149/ma2023-0161073mtgabs.
Full textLi, He, Lingjie Li, Haozhang Zhong, Hanxuan Mo, and Mengyuan Gu. "Hierarchical lattice: Design strategy and topology characterization." Advances in Mechanical Engineering 15, no. 6 (June 2023): 168781322311796. http://dx.doi.org/10.1177/16878132231179623.
Full textHaussener, Sophia. "(Invited, Digital Presentation) Transport Characterization in Nano and Micron-Sized Multi-Component and Multi-Functional Materials." ECS Meeting Abstracts MA2022-01, no. 38 (July 7, 2022): 1649. http://dx.doi.org/10.1149/ma2022-01381649mtgabs.
Full textZhang, XiaoSheng, FuYun Zhu, GuangYi Sun, and HaiXia Zhang. "Fabrication and characterization of squama-shape micro/nano multi-scale silicon material." Science China Technological Sciences 55, no. 12 (April 13, 2012): 3395–400. http://dx.doi.org/10.1007/s11431-012-4853-2.
Full textPaul, Abigail, Regan Magee, Warren Wilczewski, Nathan Wichert, Caleb Gula, Rudolph Olson, Eric Shereda, et al. "Characterization and Analysis of Coal-Derived Graphite for Lithium-Ion Batteries." ECS Meeting Abstracts MA2024-01, no. 4 (August 9, 2024): 670. http://dx.doi.org/10.1149/ma2024-014670mtgabs.
Full textNowell, Matthew M., and John O. Carpenter. "Multi-Length Scale Characterization of the Gibeon Meteorite using Electron Backscatter Diffraction." Microscopy Today 15, no. 5 (September 2007): 6–11. http://dx.doi.org/10.1017/s1551929500061162.
Full textLiao, Ning Bo, Miao Zhang, and Rui Jiang. "Recent Development in Multiscale Simulation of Mechanical Properties at Material Interface." Advanced Materials Research 146-147 (October 2010): 491–94. http://dx.doi.org/10.4028/www.scientific.net/amr.146-147.491.
Full textWang, Wentao, and Linbing Wang. "Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation." Materials 17, no. 4 (February 6, 2024): 778. http://dx.doi.org/10.3390/ma17040778.
Full textDissertations / Theses on the topic "Multi-Scale Material Characterization"
Nagpure, Shrikant C. "Multi-scale Characterization Studies of Aged Li-ion Battery Materials for Improved Performance." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1325255329.
Full textSánchez, Camargo César Moisés. "Mechanical multi-scale characterization of metallic materials by nanoindentation test." Thesis, Toulouse, ISAE, 2019. http://www.theses.fr/2019ESAE0010/document.
Full textWith the development of functional materials (multi-materials, multilayers, ...), the mechanical behavior characterization by conventional macroscopic methods has become progressively difficult. These conventional methods are therefore gradually substituted by multiscale characterization processes. Among these methods, the nanoindentation, this can solve certain challenges of micro-characterization such as the presence of indissociable phases, multilayer systems, ultra-thin coatings, etc. This tool has become a high-precision technique capable of testing very small volumes of matter and providing rich information for material characterization. However, this tool is used mainly to identify the elastic properties and, qualitatively, some parameters such as hardness, ductility and internal stresses.This thesis work focuses on the characterization of elastoplastic behavior by nanoindentation at two scales: the macroscopic scale and the crystal scale.The first challenge of this work is experimental. It involves generating surfaces with properties representative of the studied microstructure. This challenge is important because the material used as a model is 316L steel which is very ductile and whose surface is sensitive to small perturbations. An experimental protocol was implemented at the end of this work, and the errors and dispersions of the nanoindentation response introduced by the different surface generation steps were quantified. Then, a wide database was implemented with different indenter geometries and several depths. This database will feed inverse identification strategies based on a coupling between optimization algorithms and finite element modeling of this test. Two types of algorithm have been applied: Levenberg-Marquardt and genetic algorithms. The latter is very consumer in computing time. Different axisymmetric and 3D FE models have been used. These models have been carefully optimized with respect to computation time.Several identification strategies were employed based on various experimental databases from the nanoindentation test such as the loading-unloading curve, the residual imprint shape and the association of several indent geometries. Some models of isotropic hardening have been identified. On the macroscopic scale, classical isotropic hardening models have been determined. At the grain scale, the crystal plasticity constitutive model of Méric and Cailletaud has been identified. The results obtained were compared on the macroscopic scale with identifications carried out on the same material from the tensile and compression tests. The comparison showed that the combination of multiple indentation geometries makes it possible to reproduce the volume behavior of the 316L with acceptable accuracy. For crystal behavior, micropillar compression tests were used to obtain reference data at this scale. The comparison shows a lot of dispersion in both cases. Indeed, some phenomena related to the density of dislocation very variable from one grain to another are responsible of this dispersion. This dislocation density is not taken into account, as a variable, in the used crystal constitutive model. The use of a more physical law integrating the dislocation density and its evolution makes it possible to improve these results. Finally, a new identification method has been proposed. This method is based on estimating and introducing the real indent geometry in the FE model used for identification. The method has been validated in the case of Berkovich tip and shows very promising results
Li, Fujun, and 李福军. "Synthesis, characterization and electrochemical applications of multi-scale porous carbons." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47147714.
Full textYu, Xinghua. "Multi-Scale Characterization of Heat-Affected Zone in Martensitic Steels." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1348081074.
Full textSidlipura, Ravi Kumar Sujith Kumar. "Multi-modal and multiscale image analysis work flows for characterizing through-thickness impregnation of fiber reinforced composites manufactured by simplified CRTM process." Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Lille Douai, 2024. http://www.theses.fr/2024MTLD0010.
Full textThis thesis presents an experimental study to advance thermoplastic Compression Resin Transfer Molding (CRTM), focusing on industrial efficiency, sustainability, and recyclability goals aligned with the Sustainable Development Goals for Industry, Innovation, and Climate Action. By addressing multi-scale resin flow complexity in CRTM, this research investigates transverse flow and process-induced porosity at the meso scale of glass fiber bundles to improve impregnation uniformity and compaction control, bridging theoretical frameworks with scalable applications. The study focuses on a thermoplastic polypropylene matrix reinforced with six layers of bidirectional UD woven glass fibers ([0/90]3) consolidated on a CRTM setup. The “Simplified CRTM” method is developed on an industrial press, using displacement-controlled compaction ratios. This method omits active resin injection, relying on a uniformly distributed viscous polymer pool beneath the unsaturated preform to drive resin flow uniformly with a unidirectional flow path. Controlled displacement and pressure optimize resin paths, manage fiber volume fraction, and reduce porosity. Three multi-step compaction configurations are evaluated: Configuration 1 (Reference): Uses force compaction as a baseline for comparing resin distribution and fiber structure. Configuration 2 (simplified CRTM): Displacement-controlled compaction enhances resin infiltration but faces challenges like edge race-tracking and fiber volume fraction (Vf) variability, affecting impregnation. Configuration 3 (simplified CRTM with Edge Sealing): Introduces high-temperature sealant tape at mold edges, limiting resin escape, maintaining transverse flow, and reducing porosity and race-tracking. Configuration 3 edge-sealing technique establishes a reproducible process for high quality CRTM composites. An advanced 2D multi-modal imaging protocol, tailored for partially impregnated samples produced via simplified CRTM with unfilled spaces and fragile microstructures, includes polarized light microscopy, fluorescence microscopy, and scanning electron microscopy for qualitative and quantitative characterization. An original two-step polishing process preserves surface integrity, and image post-processing workflows quantify impregnation quality and void distribution. The study is completed with a fine evaluation of the impregnation mechanisms using X-ray micro computed tomography technique (micro-CT) relying on helicoidal inspection method. Results demonstrate that compaction parameters directly impact impregnation level, reaching an impregnation limit. This thesis establishes a scalable, data-driven CRTM framework bridging laboratory experimentation with industrial requirements for high-performance thermoplastic composites. It offers insights into streamlined protocols and microstructure-based analysis, enhancing understanding of the interplay between impregnation and permeability in CRTM. These findings align with precision demands in sectors like automotive and aerospace, where CRTM composites are crucial for structural applications
Jain, Ayush. "Development and Characterization of Multi-scale Polymer Composite Materials for Tribological Applications." Thesis, Luleå tekniska universitet, Maskinelement, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-65241.
Full textParadis, Fortin Laura. "Germanite derivative materials : synthesis, crystallographic structure from multi-scale characterizations and thermoelectric properties." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMC249.
Full textThe work presented in this Ph.D. thesis deals with the synthesis, the structural and electronic properties characterization of the Cu22Fe8Ge4S32 copper sulfide, a material derived of the germanite mineral with promising thermoelectric properties. The first two chapters are dedicated to the optimization of the thermoelectric properties. The last chapter is an in-depth structural study of Cu22Fe8Ge4S32. First, the specific synthesis conditions to yield a ‘‘pure’’ germanite sample by sealed tube are investigated by the means of in situ reactions. Then, two different powder synthesis approaches are compared, namely mechanical alloying and conventional sealed tube synthesis, combined with two different densification methods: spark plasma sintering and hot pressing. This study drags attention to the process impact on the transport properties of complex Cu-based sulfides. Second, the series of compounds Cu22-xZnxFe8Ge4S32 (0 ≤ x ≤ 2) and Cu22Fe8Ge4-xSnxS32 (0 ≤ x ≤ 4) were investigated in the hope to enhance the TE properties through enhanced phonon scattering due to differences in atomic mass. In fact, in addition to lowering the κ_Latt, the Cu by Zn substitution in Cu22-xZnxFe8Ge4S32 leads to a decrease in the concentration of hole carriers. In addition, a reduction of κ_Lattis observed with the Sn-incorporation due to point defect scattering enhancement of the heat carrying phonons as a result of mass, size, and bonding strength disparities. Finally, a new structural model for synthetic germanite was proposed with respect to the space group and lattice parameter of the mineral material, P4 ̅3n and a ≈ 10.595 Å. The crystal structure is proposed based on the complementarity from powder and single crystal XRD, 57Fe Mössbauer spectroscopy and resonant scattering. The originality of this work lies in the experimental approach that was developed to overcome the inherent complexity of germanite cationic distribution
Zhang, Chao. "Multi-Scale Characterization and Failure Modeling of Carbon/Epoxy Triaxially Braided Composite." University of Akron / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=akron1384174136.
Full textGershon, Alan Lawrence. "Multi-scale mechanical characterization and modeling of hierarchically-structured materials synthetic nano-enhanced polymers and natural palmetto wood /." College Park, Md.: University of Maryland, 2009. http://hdl.handle.net/1903/9474.
Full textThesis research directed by: Dept. of Mechanical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Willeman, Héloïse. "Multi-scale characterization of deformation mechanisms of poly-ether-ether-ketone (PEEK) under tensile stretching." Electronic Thesis or Diss., Lyon, INSA, 2023. http://www.theses.fr/2023ISAL0006.
Full textThe aim of this PhD work is accessing the microscopic deformation mechanisms of bulk poly-ether-ether-ketone (PEEK) under tensile stretching. Beforehand, the thermal and mechanical properties of two commercial grades of PEEK were characterized. Tensile specimens were then compression-molded to obtain morphologies as isotropic as possible and characterized below and above the glass transition temperature. Deformations at the scales of lamellar stacks and of the crystalline unit cell have been characterized by small and wide-angle X-ray scattering (SAXS and WAXS) performed in-situ during tensile tests. Simultaneously, the strain field within the samples was followed by digital image correlation (DIC) in order to compare microscopic and macroscopic strains. At both temperatures, lamellae tend to orient perpendicular to the tensile direction (TD). This orientation mechanism (which we denote as ‘Chain Network model’) is driven by the amorphous chains which transmit the stress between adjacent lamellae. The tensile strain in lamellar stacks perpendicular to TD is lower than the macroscopic tensile strain, which must be compensated by increased shear in inclined stacks. Some differences of behavior have been observed depending on the test temperature, especially at high deformation. A highly oriented morphology is ultimately obtained in all cases. However, the central scattering profiles changes with testing temperatures. Below Tg, the presence of small entities randomly oriented is indicated. Above Tg, the material is fibrillar and contains cavities
Books on the topic "Multi-Scale Material Characterization"
Kringos, Niki, Björn Birgisson, David Frost, and Linbing Wang, eds. Multi-Scale Modeling and Characterization of Infrastructure Materials. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6878-9.
Full textAltenbach, Holm. Generalized Continua as Models for Materials: With Multi-scale Effects or Under Multi-field Actions. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Find full textKringos, Niki. Multi-Scale Modeling and Characterization of Infrastructure Materials: Proceedings of the International RILEM Symposium Stockholm, June 2013. Dordrecht: Springer Netherlands, 2013.
Find full textKringos, Niki, David Frost, and Björn Birgisson. Multi-Scale Modeling and Characterization of Infrastructure Materials. Springer, 2013.
Find full textKringos, Niki, David Frost, Björn Birgisson, and Linbing Wang. Multi-Scale Modeling and Characterization of Infrastructure Materials: Proceedings of the International RILEM Symposium Stockholm, June 2013. Ingramcontent, 2015.
Find full textKringos, Niki, David Frost, Björn Birgisson, and Linbing Wang. Multi-Scale Modeling and Characterization of Infrastructure Materials: Proceedings of the International RILEM Symposium Stockholm, June 2013. Springer, 2013.
Find full textBook chapters on the topic "Multi-Scale Material Characterization"
Das, Prabir Kumar, Niki Kringos, and Björn Birgisson. "Towards a Multi-scale Framework to Optimize Ageing Resistance of Asphaltic Materials." In Multi-Scale Modeling and Characterization of Infrastructure Materials, 285–95. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6878-9_21.
Full textBueno, Moises, Martin Hugener, and Manfred N. Partl. "Fracture Toughness Testing Aspects for Assessing Low Temperature Behaviour of Bituminous Binders." In Multi-Scale Modeling and Characterization of Infrastructure Materials, 1–12. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6878-9_1.
Full textOnifade, Ibrahim, Denis Jelagin, Alvaro Guarin, Bjorn Birgisson, and Nicole Kringos. "Asphalt Internal Structure Characterization with X-Ray Computed Tomography and Digital Image Processing." In Multi-Scale Modeling and Characterization of Infrastructure Materials, 139–58. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6878-9_11.
Full textJiang, Wei, and Aimin Sha. "Evaluation of Anti-clogging Property of Porous Asphalt Concrete Using Microscopic Voids Analysis." In Multi-Scale Modeling and Characterization of Infrastructure Materials, 159–72. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6878-9_12.
Full textUkrainczyk, Neven, Eduard A. B. Koenders, and Klaas Breugel. "Representative Volumes for Numerical Modeling of Mass Transport in Hydrating Cement Paste." In Multi-Scale Modeling and Characterization of Infrastructure Materials, 173–84. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6878-9_13.
Full textLaukkanen, Olli-Ville, Terhi Pellinen, and Michalina Makowska. "Exploring the Observed Rheological Behaviour of In-Situ Aged and Fresh Bitumen Employing the Colloidal Model Proposed for Bitumen." In Multi-Scale Modeling and Characterization of Infrastructure Materials, 185–97. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6878-9_14.
Full textMallick, Rajib B., Aaron Sakulich, Bao-Liang Chen, and Sankha Bhowmick. "Insulating Pavements to Extend Service Life." In Multi-Scale Modeling and Characterization of Infrastructure Materials, 219–36. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6878-9_16.
Full textNguyen, Quang Tuan, Hervé Benedetto, and Cédric Sauzéat. "Prediction of Linear Viscoelastic Behaviour of Asphalt Mixes from Binder Properties and Reversal." In Multi-Scale Modeling and Characterization of Infrastructure Materials, 237–48. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6878-9_17.
Full textNilenius, Filip, Fredrik Larsson, Karin Lundgren, and Kenneth Runesson. "A 3D/2D Comparison between Heterogeneous Mesoscale Models of Concrete." In Multi-Scale Modeling and Characterization of Infrastructure Materials, 249–59. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6878-9_18.
Full textOgura, Hiroki, Minoru Kunieda, and Hikaru Nakamura. "Meso-Scale Analysis Considering Effect of Fiber Inclination in Fiber Reinforced Cementitious Composites." In Multi-Scale Modeling and Characterization of Infrastructure Materials, 261–72. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6878-9_19.
Full textConference papers on the topic "Multi-Scale Material Characterization"
Beblo, Richard V., and Lisa M. Weiland. "Material characterization and multi-scale modeling of light activated SMP." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Benjamin K. Henderson and M. Brett McMickell. SPIE, 2009. http://dx.doi.org/10.1117/12.815504.
Full textRESTIF, Noé. "Multi-scale characterization of carbon-fibre reinforced PEEK composites manufactured by laser-assisted tape placement." In Material Forming. Materials Research Forum LLC, 2024. http://dx.doi.org/10.21741/9781644903131-68.
Full textWang, Jingyu, Nyree Mason, Firas Akasheh, Gul Kremer, Zahed Siddique, and Yingtao Liu. "Implementation of Multi-Scale Characterization and Visualization on Enhancement of Solid Mechanics Education." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10747.
Full textGarg, Mohit, Galib Abumeri, and Frank Abdi. "Advanced Multi-Scale Composites Material Characterization for Fracture Toughness and Impact Resistance Applications." In 51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
18th AIAA/ASME/AHS Adaptive Structures Conference
12th. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-3053.
Maculotti, G. "Augmented multi-scale instrumented indentation test characterization of complex multi-layered coatings for tribological application." In Italian Manufacturing Association Conference. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902714-37.
Full textCornell, Stephen R., William P. Leser, Jacob D. Hochhalter, John A. Newman, and Darren J. Hartl. "Development and Characterization of Embedded Sensory Particles Using Multi-Scale 3D Digital Image Correlation." In ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/smasis2014-7608.
Full textNixon, Jason R., Inna Lempert, Hyunjo Choi, Jeremy McFarlane, and David I. Bigio. "Characterization of Material Properties for Multi-Scale Polymer Composites Extruded From Straight and Divergent Die Geometries Using Various Filler Concentrations." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-51919.
Full textLi, Zhiye, and Michael Lepech. "Characterization and Modeling of How Environmental Aging Affects Fatigue Damage Evolution in Fiber Reinforced Polymeric Composites." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70637.
Full textShirazi, Alireza, Hua Lu, and Ahmad Varvani. "Hybrid Analytical and Experimental Method for Characterization of Thin Multilayer Bonded Structures Subject to Thermal Loading." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6309.
Full textSubramanian, Vijay, Tsgereda Alazar, Kyle Yazzie, Bharat Penmecha, Pilin Liu, Yiqun Bai, and Pramod Malatkar. "Characterization of Bulk and Thin Film Fracture in Electronic Packaging." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-67145.
Full textReports on the topic "Multi-Scale Material Characterization"
Uchic, Michael, Michael Groeber, Jonathan Spowart, Megna Shah, Michael Scott, Patrick Callahan, Adam Shiveley, and Michael Chapman. An Automated Multi-Modal Serial Sectioning System for Characterization of Grain-Scale Microstructures in Engineering Materials (Preprint). Fort Belvoir, VA: Defense Technical Information Center, March 2012. http://dx.doi.org/10.21236/ada559110.
Full textBray, Jonathan, Ross Boulanger, Misko Cubrinovski, Kohji Tokimatsu, Steven Kramer, Thomas O'Rourke, Ellen Rathje, Russell Green, Peter Robertson, and Christine Beyzaei. U.S.—New Zealand— Japan International Workshop, Liquefaction-Induced Ground Movement Effects, University of California, Berkeley, California, 2-4 November 2016. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, March 2017. http://dx.doi.org/10.55461/gzzx9906.
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