Fundamental Role of Grain Boundaries: Meso-Scale Simulation and Measurement

Abstract

Collaborative Projects FA9550-05-1-0068 and FA9550-05-1-0088 were aimed at solving one of the outstanding problems in the mechanical behavior of metallic materials: understanding, quantifying, and predicting the role of grain size and grain boundary character on strength and ductility. This is an essential component required for the design of high-temperature alloys to resist stresses. Current models for polycrystals address only the grain texture (i.e. the statistical orientation of crystal lattices), not the presence or character of grain boundaries, nor the size of the grains. Novel simulation methods and materials characterization techniques were developed and verified. Noteworthy progress and results may be summarized as follows: * Identification of the underlying physics of grain-size effects in metals and alloys. * First quantitative prediction of Hall-Petch slopes from first principles (without introducing arbitrary length scales). * First comparison of measured and independently predicted lattice curvatures at grain boundaries. (Good agreement was discovered: within 20%.) * First simulations and presentations of dislocation density distributions within grains * Introduction of a new single-crystal constitutive representation that is more accurate and uses fewer parameters than existing equations. (Outstanding agreement was found with measurements.)

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Document Details

Document Type
Technical Report
Publication Date
Mar 31, 2008
Accession Number
ADA481000

Entities

People

  • Brent L. Adams
  • Robert H. Wagoner

Organizations

  • Ohio State University

Tags

DTIC Thesaurus Topics

  • Boundaries
  • Computational Science
  • Constitutive Equations
  • Crystal Structure
  • Crystals
  • Curvature
  • Equations
  • Grain Size
  • Materials
  • Materials Science
  • Measurement
  • Mechanical Properties
  • Mechanics
  • Multiscale Models
  • Polycrystals
  • Simulations
  • Single Crystals

Fields of Study

  • Materials science

Readers

  • Computational Fluid Dynamics (CFD)
  • Materials Science (Mechanical Engineering).