Skip to main navigation Skip to search Skip to main content

Computational fretting fatigue maps for different plasticity models

  • Centre national de la recherche scientifique
  • Structural Mechanics, Blades-Vanes and Casing (TESB), MTU Aero Engines GmbH

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents qualitative elastoplastic simulations and analyses of fretting fatigue. Three hardening constitutive models are considered, and their effects on stick-slip conditions and lifetime prediction are compared. The computational analysis consists of the estimation of the shakedown limit cycle and the fatigue prediction using Dang Van or Crossland criterion. A particular configuration, the interaction of a flat pad with rounded corners in contact with a flat substrate made, respectively, of Inconel In718 and Titanium Ti64 alloys, is studied. The shakedown state is analysed using the cyclic and ratcheting equivalent strain concepts already discussed in the literature. In the paper, different fretting maps, based on slip, shakedown and fatigue regimes, are numerically produced and analysed. A new variable, the global slip percentage, is proposed for the characterization of the stick-slip regimes. Analyses of a series of slip maps show that the different hardening models do not introduce significant changes in the stick-slip conditions. Using finite element method simulations combined with fatigue limit criteria (Dang Van and Crossland), fretting fatigue maps are qualitatively reproduced. The main contribution of this work is a comparative discussion on the influence of the hardening models complexity on such maps.

Original languageEnglish
Pages (from-to)446-461
Number of pages16
JournalFatigue and Fracture of Engineering Materials and Structures
Volume37
Issue number4
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

Keywords

  • fatigue
  • finite elements
  • fretting
  • friction
  • shakedown
  • slip
  • stick

Fingerprint

Dive into the research topics of 'Computational fretting fatigue maps for different plasticity models'. Together they form a unique fingerprint.

Cite this