Digital Representation of Materials Grain Structure

Abstract

Recent initiatives to accelerate the insertion of materials and link the materials design and systems design processes have called for the advancement of microstructure-property relationships. In order to achieve these goals, the development of digital microstructure models in conjunction with computational methods for simulating material response is a necessity. There have been significant advancements in the collection and representation of microstructure, which coupled with computational power increases, has yielded microstructure models with increasing complexity and accuracy. It is the emphasis of this chapter to discuss the state-of-the-art methods and current limitations in the field of microstructure representation. Specific focus will be paid to the areas of: experimental data collection, feature identification, mesh generation, quantitative characterization and synthetic structure generation. In presenting the status of the field, the key links to other fields that must be developed will also be addressed wherever possible.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA523965

Entities

People

  • Michael A. Groeber

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Computational Fluid Dynamics
  • Computational Science
  • Computer-Aided Design
  • Coordinate Systems
  • Diffraction
  • Experimental Data
  • Geometry
  • Grain Size
  • Identification
  • Image Processing
  • Materials
  • Materials Science
  • Systems Engineering
  • Three Dimensional
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Economics
  • Nanocomposite Materials Science