Experimental Investigations of Material Models for Ti-6Al-4V Titanium and 2024-T3 Aluminum

Abstract

The report describes studies of the deformation and failure behavior of Ti-6Al-4V titanium and 2024-T3 aluminum. This work was accomplished by the Lawrence Livermore National Laboratory under an Interagency Agreement between the Federal Aviation Administration (FAA) William J. Hughes Technical Center and the Department of Energy (DOE). The work was accomplished under the FAA's Aircraft Catastrophic Failure Prevention Program as part of its research into the turbine engine uncontainment event. Data was obtained at high strain rates and large strains using the split Hopkinson pressure bar method. This information, plus additional data from the literature, were used to critically evaluate the ability of the Johnson-Cook material model to represent the deformation and failure response of Ti-6Al-4V and 2024-T3 under conditions relevant to simulations of engine containment and the influence of uncontained engine debris on aircraft structures. This model is being used in the DYNA3D finite element code, which is being developed/validated for evaluating aircraft/engine designs relative to the federal airworthiness standards and for improving mitigation/containment technology. The results of this experimental work were used to define a new set of material constants for the strength component of the Johnson-Cook model for Ti-6Al-4V and 2024-T3.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2000
Accession Number
ADA384431

Entities

Organizations

  • Lawrence Livermore National Laboratory

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Data Analysis
  • Deformation (Mechanics)
  • Failure Mode And Effect Analysis
  • Materials
  • Materials Science
  • Mechanical Properties
  • Mechanical Working
  • Mechanics
  • New York
  • Physical Properties
  • Stress Strain Relations
  • Stresses
  • Tensile Properties
  • Tensile Strength
  • Titanium Alloys
  • Wave Propagation

Readers

  • Aerospace Engineering
  • Computational Modeling and Simulation
  • Metallurgy