Pre- and Post-Processing Tools to Create and Characterize Particle-Based Composite Model Structures

Abstract

Microstructural heterogeneities, such as voids, cracks, and grain boundaries, dictate the macroscopic materials properties as well as its response to the thermal and mechanical loading that occurs in most applications and technologies. Simulating these materials at the microscale requires sophisticated computational tools to efficiently build and analyze the structures. This work describes a suite of computational tools developed to both create coarse-grain composite model structures and characterize their structure and material properties. The US Army Research Laboratory's Composite Model Builder and Analysis Toolkit leverages the existing parallel communication framework within the Large-scale Atomic/Molecular Massively Parallel Simulator and/or the Python mpi4py library to efficiently process systems containing billions of particles, thus enabling the study of microstructural heterogeneity in composite materials.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2017
Accession Number
AD1041686

Entities

People

  • Decarlos E. Taylor
  • James P Larentzos
  • John K. Brennan
  • Joseph Mattson
  • Michael Fortunato

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Boundaries
  • Composite Materials
  • Computations
  • Crystal Structure
  • Crystals
  • Department Of Defense
  • Grain Boundaries
  • Heterogeneity
  • Materials
  • Military Research
  • Particles
  • Polycrystals
  • Simulations
  • Simulators
  • Single Crystals
  • Three Dimensional
  • Weighting Functions

Fields of Study

  • Materials science

Readers

  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development
  • Powder metallurgy of Titanium alloys.