Adaptive and Parallel Computational Techniques in Materials Science.

Abstract

We developed mathematical models for problems involving the fabrication of ceramic- matrix composites, the coating of ceramic fibers, and the oxidation of ceramic-matrix composites. To solve these models, we developed an adaptive and parallel computational framework for the finite element and finite volume solution of partial differential equations. The parallel adaptive framework handles mesh generation, refinement, and coarsening; dynamic load balancing; distributed database management; interprocessor communications; data migration; time integration; and algebraic solutions. The models and solutions revealed improved processing techniques for a reactive vapor infiltration application and potentially superior strategies for coating fibers. Oxidation studies are investigating the 'self healing' of cracks.

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Document Details

Document Type
Technical Report
Publication Date
Aug 09, 1996
Accession Number
ADA312778

Entities

People

  • J. E. Flaherty

Organizations

  • Rensselaer Polytechnic Institute

Tags

DTIC Thesaurus Topics

  • Ceramic Fibers
  • Ceramic Matrix Composites
  • Composite Materials
  • Computational Fluid Dynamics
  • Differential Equations
  • Dynamic Loads
  • Equations
  • Fabrication
  • Fibers
  • Materials
  • Materials Processing
  • Materials Science
  • Mathematical Models
  • Models
  • Partial Differential Equations

Readers

  • Computational Fluid Dynamics (CFD)
  • Computer Networking
  • Reinforced Composite Materials