High-Performance Macromolecular Materials

Abstract

This project targets mathematical and computational underpinnings of a predictive capability for high performance, nano-composite (HPNC) materials. The overall goal is two-fold: 1st we develop theory, models, and numerical algorithms for the HPNC processing pipeline, starting with composite information, through flow processing, and finally to multi-functional property characterization, 2nd we implement these mathematical tools to predict measurable and significant features of HPNC materials.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 17, 2006
Accession Number
ADA444313

Entities

People

  • M. G. Forest

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Advanced Materials
  • Air Force
  • Algorithms
  • Applied Mathematics
  • Composite Materials
  • Computational Science
  • Computations
  • Contracts
  • Laminar Flow
  • Materials
  • Materials Science
  • Mathematics
  • Mechanical Properties
  • Nanocomposites
  • Numerical Analysis
  • Phase Transformations
  • Polymers

Readers

  • Distributed Systems and Data Platform Development
  • Nanocomposite Materials Science