Tags: microstructure

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  1. Effects of Microstructure and Chemistry on the Ignition Sensitivity of PBX Under Shock Loading

    14 Jan 2020 | Contributor(s):: Miller, Christopher M.

    Advisors: Min Zhou, Richard Neu, Ting Zhu, Julian Rimoli, Cole YarringtonThe ignition sensitivity of heterogeneous energetic materials subject to shock loading is analyzed using both a Lagrangian and Eulerian computational framework. The specific focus here is on the various microstructure...

  2. Metakaolin-Portland Limestone Cements: Evaluating the Effects of Chemical Admixtures on Early and Late Age Behavior

    20 Aug 2018 | Contributor(s):: Hosseinzadeh Zaribaf, Behnaz

    Advisors: Kimberly Kurtis, Lawrence Kahn, Susan Burns, Russel Gentry, Newell Washburn, Sharad MathurOne of the most effective and applicable ways to mitigate the greenhouse gas emissions contributed by cement production is to partially replace a portion of the cement clinker with alternative...

  3. Structure-Property Linkages for Polycrystalline Materials Using Materials Knowledge Systems

    20 Aug 2018 | Contributor(s):: Paulson, Noah H.

    Advisors: Surya R. Kalidindi, David L. McDowell, Donald S. Shih, Richard W. Neu, Hamid GarmestaniComputational tools that are capable of rapidly exploring candidate microstructures and their associated properties are required to accelerate the rate of development and deployment of novel...

  4. Data-driven reduced-order models for rank-ordering the high cycle fatigue performance of polycrystalline microstructures: codes and data files

    01 Feb 2018 | Contributor(s):: Noah H. Paulson

    This data-set contains the codes and data files relevant to the paper titled "Data-driven reduced-order models for rank-ordering thehigh cycle fatigue performance of polycrystalline microstructures" [Paulson2017_HomogenizationHCF]. Data-files are provided so that the figures...

  5. Hydration and Microstructural Development of Portland Limestone Cement-Based Materials

    17 Aug 2017 | Contributor(s):: Nadelman, Elizabeth Imber

    Advisors: Kimberly E. Kurtis, Lawrence F. Kahn, Susan E. Burns, Carsten Sievers, T. Russell GentryThe manufacture of portland cement contributes an estimated 5-8% of all anthropogenic carbon dioxide (CO2) emissions each year. One strategy to curb these cement-induced CO2 emissions is to reduce...

  6. Synthetic alpha-Ti Microstructures and Associated Transition Fatigue Responses

    13 May 2017 | Contributor(s):: Matthew William Priddy, Noah Paulson, David McDowell, Surya R. Kalidindi

    SummaryThis data set consists of over 3600 microstructure volumes and their associated local responses after three cycles of cyclic loading. This loading is expected to result in microstructure responses consistent with the transition regime between high cycle fatigue (HCF) and low cycle fatigue...

  7. Synthetic alpha-Ti Microstructures and Associated Elastic Stiffness and Yield Strength Properties - Extended

    01 May 2017 | Contributor(s):: Matthew William Priddy, Noah Paulson, David McDowell, Surya R. Kalidindi

    SummaryThis is an extended version of a previous data set [Priddy2016_BulkAlphaTi] that was used in a prior study [Paulson2017_BulkProperties] to develop MKS homogenization protocols to predict the bulk properties of polycrystalline microstructures.Data Set Details12 distinct...

  8. Microstructure Maker - 3D Microstructure Reconstruction from 2D data/images

    10 Mar 2017 | | Contributor(s):: David Turner, Surya R. Kalidindi

    Microstructure Maker is a a MATLAB / C++ implementation of solid texture synthesis algorithms for constructing statistically representative 3D microstructure datasets from only 2D data. This software attempts to create 3D reconstructions of microstructures from a limited number of oblique 2D...

  9. Estimation of Chord Length Distributions for 3D microstructure images

    10 Mar 2017 | | Contributor(s):: David Turner, Surya R. Kalidindi

    A software implementation based on the following research study (see References below for full citation): http://iopscience.iop.org/article/10.1088/0965-0393/24/7/075002 Abstract Chord length distributions (CLDs) and lineal path functions (LPFs) have been successfully utilized in prior literature...

  10. Estimation of Chord Length Distributions for 2D microstructure images

    10 Mar 2017 | | Contributor(s):: David Turner, Surya R. Kalidindi

    A software implementation based on the following research study (see References below for full citation): http://iopscience.iop.org/article/10.1088/0965-0393/24/7/075002 Abstract Chord length distributions (CLDs) and lineal path functions (LPFs) have been successfully utilized in prior literature...

  11. Ensemble of 3-D 2-phase microstructures generated in Dream.3D

    23 Jan 2017 | | Contributor(s):: Marat I. Latypov, Surya R. Kalidindi

    The ensemble contains 4 classes*:- microstructures with equiaxed features, volume fraction [5, 95]- matrix/spherical inclusions [5, 35] & [65, 95]- matrix/disk inclusions [5, 35] & [65, 95]- matrix/needle inclusions [5, 35] & [65, 95]* both classes and volume fractions represent...

  12. Construction of Representative 3D Microstructures From Complete and Partial Statistics

    11 Jan 2017 | | Contributor(s):: Turner, David M

    Advisors: Surya R Kalidindi, David L McDowell, Hamid Garmestani, Le Song, Karl I JacobThe principle concern of the material scientist is the connection between microstructure, properties, and processing. Microstructure is characterized via experimental measurements of geometry at the appropriate...

  13. Blog Post_1: CSE 8803 / ME 8883 - Superalloy - Project Statement

    The latest update from Superalloys group at the end of week 3: The type of linkage we proposed to establish is Process-Structure linkage on Nickel-based single-crystal superalloy (CMSX-8) which is...

    https://matin.gatech.edu/groups/materials_informatics_course_fall_2016/wiki/Superalloy:CSE8803ME8883Superalloy

  14. Update_1

    09 Sep 2016 | Posted by Sanam Gorgan Nejad

    Hi all, The latest update from Superalloys group at the end of week 3: The type of linkage we proposed to establish is Process-Structure linkage on Nickel-based single-crystal superalloy (CMSX-8)...

    https://matin.gatech.edu/groups/cse8803_me8883_superalloy/blog/2016/09/update1

  15. Synthetic alpha-Ti Microstructures and Associated Elastic Stiffness and Yield Strength Properties

    24 Jul 2016 | | Contributor(s):: Matthew Priddy, Noah Paulson

    12 alpha-Ti microstructures20 instantiations (statistical volume elements or SVEs) per microstructureeach microstructure has different ODF inputAc: beta-annealed Ti-64 textureBaTr: basal/weak transverse textureBaTrTr: basal/strong transverse textureDd: double-doughnut textureDdTr:...

  16. Characterization of Multiscale Porosity in Cement-Based Materials: Effects of Flaw Morphology on Material Response Across Size and Time Scales

    28 Jun 2016 | | Contributor(s):: Mayercsik, Nathan Paul

    Advisors: Kimberly E. Kurtis, Chloe Arson, Arun M. Gokhale, Laurence J. Jacobs, Lori L. Graham-BradyIt is perhaps paradoxical that many material properties arise from the absence of material rather than the presence of it. For example, the strength, stiffness, and toughness of a concrete are...

  17. Ali Khosravani

    Ali is a PhD candidate in Mechanical engineering department at Georgia Institute of Technology. He earned two masters degrees, one in mechanical engineering at Brigham Young University in 2012 and...

    https://matin.gatech.edu/members/1028

  18. Xinyi Gong

    Xinyi GongXinyi Gong is currently pursuing a PhD in Materials Science and Engineering at Georgia Institute of Technology. He earned a bachelor's degree in Materials Science and Engineering at...

    https://matin.gatech.edu/members/1023

  19. A Unified Constitutive Material Model With Application to Machining

    12 Jan 2015 | | Contributor(s):: Liu, Rui

    Advisors: Shreyes N. Melkote, Steven S. Danyluk, Richard Neu, Naresh Thadhani, Roshan VengazhiyilFinite element simulation of metal cutting processes offers a cost-effective method to optimize the cutting conditions and to select the right tool material and geometry. A key input to such...

  20. Prediction of Material Fracture Toughness as Function of Microstructure

    12 Jan 2015 | | Contributor(s):: Li, Yan

    Advisors: Min Zhou, David L. McDowell, Richard Neu, Ting Zhu, Shuman Xia, Donald ShihMicrostructure determines fracture toughness of materials through the activation of different fracture mechanisms. To tailor the fracture toughness through microstructure design, it is important to establish...