Towards a quantitative comparison between experimental and synthetic grain structures

被引:13
作者
Callahan, P. G. [1 ]
Groeber, M. [2 ]
De Graef, M. [1 ]
机构
[1] Carnegie Mellon Univ, Dept Mat Sci & Engn, 5000 Forbes Ave, Pittsburgh, PA 15213 USA
[2] AFRL MLLMD, Mat & Mfg Directorate, Wright Patterson AFB, OH 45433 USA
关键词
Nickel alloys; 3D characterization; Synthetic microstructure; Moment invariants; 3D; MICROSTRUCTURE; FRAMEWORK; SHAPE;
D O I
10.1016/j.actamat.2016.03.078
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A method is proposed to quantitatively compare 3-D microstructural data using the Hellinger distance. Statistics from an experimentally observed 3-D IN100 microstructure are used to generate six synthetic microstructures. These are compared quantitatively to the experimental microstructure by computing the Hellinger distances between distributions of microstructural descriptors, such as the volume, the aspect ratio, and the affine moment invariant (Omega) over bar (3). The synthetic microstructures use three starting shape classes, namely ellipsoids, superellipsoids, and shapes generated by truncating a cube with an octahedron; this latter shape class is proposed here for use in microstructure generation, and we derive relevant morphological descriptors. Synthetic microstructures are generated using either random grain placement or by constraining the grain placement to the experimental grain centroids. We present a method for determining microstructure similarity by random sampling from a reference microstructure as well as quantitative shape comparisons between synthetic and experimental microstructures. (C) 2016 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:242 / 252
页数:11
相关论文
共 31 条
  • [1] Quantitative serial sectioning analysis
    Alkemper, J
    Voorhees, PW
    [J]. JOURNAL OF MICROSCOPY-OXFORD, 2001, 201 : 388 - 394
  • [2] [Anonymous], 1943, Bull Calcutta Math Soc, DOI DOI 10.1038/157869B0
  • [3] 3D reconstruction of microstructure in a commercial purity aluminum
    Brahme, A.
    Alvi, M. H.
    Saylor, D.
    Fridy, J.
    Rollett, A. D.
    [J]. SCRIPTA MATERIALIA, 2006, 55 (01) : 75 - 80
  • [4] A quantitative description of the morphological aspects of materials structures suitable for quantitative comparisons of 3D microstructures
    Callahan, P. G.
    Simmons, J. P.
    De Graef, M.
    [J]. MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING, 2013, 21 (01)
  • [5] Kernel-based object tracking
    Comaniciu, D
    Ramesh, V
    Meer, P
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2003, 25 (05) : 564 - 577
  • [6] On the independence of rotation moment invariants
    Flusser, J
    [J]. PATTERN RECOGNITION, 2000, 33 (09) : 1405 - 1410
  • [7] Flusser J., 2009, Moments and Moment Invariants in Pattern Recognition
  • [8] Minimal network partitions using average Ν-hedra
    Glicksman, M. E.
    Rios, P. R.
    [J]. PHILOSOPHICAL MAGAZINE, 2007, 87 (02) : 189 - 208
  • [9] Analysis of 3-D network structures
    Glicksman, ME
    [J]. PHILOSOPHICAL MAGAZINE, 2005, 85 (01) : 3 - 31
  • [10] A framework for automated 3D microstructure analysis & representation
    Groeber, M. A.
    Uchic, M. D.
    Dimiduk, D. M.
    Bhandari, Y.
    Ghosh, S.
    [J]. JOURNAL OF COMPUTER-AIDED MATERIALS DESIGN, 2007, 14 : 63 - 74