Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Laboratoire Angevin de Mécanique, Procédés et InnovAtion

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2018The influence of machined topography on the HCF behaviour of the Al7050 alloy2citations
  • 2017The influence of machined topography on the HCF behaviour of the Al7050 alloy2citations
  • 2016The effect of machining defects on the fatigue behaviour of the Al7050 alloycitations

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Pessard, Etienne
3 / 31 shared
Morel, Franck
3 / 67 shared
Germain, Guénaël
3 / 53 shared
Abroug, Foued
3 / 8 shared
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2018
2017
2016

Co-Authors (by relevance)

  • Pessard, Etienne
  • Morel, Franck
  • Germain, Guénaël
  • Abroug, Foued
OrganizationsLocationPeople

document

The influence of machined topography on the HCF behaviour of the Al7050 alloy

  • Chove, Etienne
  • Pessard, Etienne
  • Morel, Franck
  • Germain, Guénaël
  • Abroug, Foued
Abstract

The aim of this study is to identify the impact of High Speed Machining defects on the fatigue behaviour of the Al7050 aluminium alloy. A vast experimental campaign under fully reversed plane bending loads containing different surface states has been undertaken to characterize the effect of the surface topography on the fatigue behaviour. The results show that the fatigue strength decreases only when the surface roughness is significantly degraded. It is also pointed out that manual grinding eliminates the effect of the machining defects on the fatigue behaviour. In order to predict the influence of the surface condition on the fatigue behaviour, a numerical approach based on the real surface topology has been developed. It is shown that the numerically identified crack initiation sites are in agreement with the experimental results. A probabilistic approach based on the weakest link concept, associated with the definition of a stress based crack initiation threshold has been integrated in a FE model. This approach leads naturally to a probabilistic Kitagawa type diagram, which in this case explains the relationship between the size defect and the scale effect on the fatigue strength.

Topics
  • impedance spectroscopy
  • surface
  • grinding
  • aluminium
  • crack
  • strength
  • fatigue
  • aluminium alloy