New Methodologies for Mathematical Representation and Computer Simulations of Microstructural Geometry: Applications to Light Alloys and Their Composites

Abstract

High-resolution large-volume segments of three-dimensional microstructures of a set of boron modified Ti-alloys containing TiB whiskers have been reconstructed and visualized using montage serial sectioning. These microstructures have been quantitatively characterized in detail using stereology and digital image analysis. A novel methodology has been developed for computer simulations of realistic two-dimensional (2D) and three-dimensional (3D) two-phase microstructures where the features have realistic complex shapes/morphologies, spatial clustering, morphological anisotropy, and global microstructural properties statistically similar to those in the corresponding real microstructures. The methodology was applied for simulations of realistic 2D and 3D microstructures of a set of discontinuously reinforced Al-alloy (DRA) composites containing SiC particles of complex shapes and different degrees of spatial clustering, and microstructures of a set of boron modified Ti-alloys having different degrees of morphological anisotropy of the TiB whiskers. Large windows of real and simulated 2D and 3D microstructures have been implemented as representative volume elements in the finite elements based frameworks to simulate the mechanical response.

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Document Details

Document Type
Technical Report
Publication Date
Jan 29, 2009
Accession Number
ADA589009

Entities

People

  • Arun M. Gokhale

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Anisotropy
  • Clustering
  • Composite Materials
  • Computational Science
  • Computer Simulations
  • Computers
  • Digital Images
  • Geometry
  • High Resolution
  • Image Processing
  • Materials
  • Materials Science
  • Materials Testing
  • Particles
  • Simulations
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Materials science

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Reinforced Composite Materials