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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2006Study of strengthening of an austenitic stainless steel by cold rolling (theoretical and experimental approach)citations

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Flavenot, J. F.
1 / 1 shared
Benamar, A.
1 / 5 shared
Inglebert, G.
1 / 1 shared
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2006

Co-Authors (by relevance)

  • Flavenot, J. F.
  • Benamar, A.
  • Inglebert, G.
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document

Study of strengthening of an austenitic stainless steel by cold rolling (theoretical and experimental approach)

  • Flavenot, J. F.
  • Barbarin, P.
  • Benamar, A.
  • Inglebert, G.
Abstract

During deep rolling, high compressive residual stresses are produced on surface of cylindrical parts which may eliminate critical tensile stresses in the surface zone and put the surface zone into compressive stresses. Like shot peening and hammer peening, the effectiveness of this treatment by deep rolling increases the plastic deformation, mechanical properties and fatigue strength of the material. Maximum fatigue strength improvement is generally caused by a substantial plastic deformation of the material and residual stresses generation. Optimum surface treatment depends on many parameters such as applied force, treatment time, shape of the part and roller and type of treated material. To optimize surface treatment parameters, prediction models are currently developed and based on calculation of properties improved by deep rolling technique such as residual stresses . Within the framework of this study, an analytical model for predicting residual stresses produced by deep rolling has been developped. The residual stress results obtained using the modeling approach are validated by measurements carried out using the step by step hole drilling method and X-ray diffraction methods used in CETIM Laboratory.

Topics
  • impedance spectroscopy
  • surface
  • polymer
  • stainless steel
  • x-ray diffraction
  • strength
  • fatigue
  • cold rolling
  • diffraction method