Microstructure-Sensitive Modeling of High Cycle Fatigue (Preprint)

Abstract

Strategies are described for microstructure-sensitive computational methods for estimating variability of high cycle fatigue (HCF) crack formation and early growth in metallic polycrystals to support design of fatigue resistant alloys. We outline a philosophy of employing computational simulation to establish relations between remote loading conditions and microstructure-scale slip behavior in terms of Fatigue Indicator Parameters (FIPs) as a function of stress amplitude, stress state and microstructure, featuring calibration of mean experimental responses for known microstructures. Effects of process history (carburization and shot peening) and resulting residual stresses are considered in the case of subsurface crack formation at primary inclusions in martensitic steel. The need to characterize extreme value correlations of microstructure attributes coupled to the local driving force (i.e., features) for HCF crack formation is outlined, along with a strategy involving a set of FIPs relevant to different mechanisms of crack formation.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2009
Accession Number
ADA502791

Entities

People

  • Craig Przybyla
  • David L. Mcdowell
  • Nima Salajegheh
  • Rajesh Prasannavenkatesan

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Computational Science
  • Failure Mode And Effect Analysis
  • Ferrium
  • Materials
  • Materials Science
  • Mechanical Properties
  • Mechanical Working
  • Mechanics
  • Polycrystals
  • Residual Stress
  • Shot Peening
  • Stresses
  • Surface Finishing
  • Turbines
  • Yield Strength

Readers

  • Materials Science (Mechanical Engineering).
  • Powder metallurgy of Titanium alloys.
  • Structural Health Monitoring of Composite Structures.