Design, Analysis and Processing of Functionally Graded Structural Materials

Abstract

A multi-length scale computational methodology is developed to analyze processing/microstructure and microstructure/properties/performance relationship in advanced structural materials. Such methodology is based on combining scientific and engineering disciplines of fluid mechanics, heat transfer, chemical gas/surface thermodynamics and kinetics, atomistic modeling techniques, stochastic microstructure evolution simulation methods, nonlinear fracture and singular stress analysis, and micro-mechanics analytical and computational approaches. This methodology is then applied to advanced coating and functionally graded materials processed by the chemical vapor deposition (CVD) and the Laser Engineered Net Shaping (LENS(Trademark) processes. The methodology allows the establishment of direct links between process parameters (temperature, pressure, flow rates, laser rastering velocity, etc.), the resulting materials microstructure (grain size and distribution, morphological and crystallographic texture, etc.) and properties (strength, strain-to-fracture, etc.). in response to the computational challenges of multi-length scale modeling, parallel computing is utilized and a highly-efficient inter-processor communications method is developed which substantially reduces the simulation time.

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Document Details

Document Type
Technical Report
Publication Date
Dec 18, 2000
Accession Number
ADA386131

Entities

People

  • J. Goree
  • Mica Grujicic
  • P. F. Joseph
  • R. J. Diefendorf

Organizations

  • Clemson University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Chemical Vapor Deposition
  • Coatings
  • Computational Science
  • Deposition (Materials Processing)
  • Engineering
  • Finite Element Analysis
  • Fluid Mechanics
  • Grain Size
  • Heat Transfer
  • Materials
  • Materials Engineering
  • Materials Science
  • Mechanics
  • Monte Carlo Method
  • Plastic Properties
  • Simulations
  • Vapor Deposition

Readers

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

Technology Areas

  • Directed Energy