Issue |
MATEC Web Conf.
Volume 80, 2016
NUMIFORM 2016: The 12th International Conference on Numerical Methods in Industrial Forming Processes
|
|
---|---|---|
Article Number | 02007 | |
Number of page(s) | 8 | |
Section | MS2: Microstructure modeling in forming processes | |
DOI | https://doi.org/10.1051/matecconf/20168002007 | |
Published online | 24 October 2016 |
Ductility prediction of substrate-supported metal layers based on rate-independent crystal plasticity theory
1 LEM3, UMR CNRS 7239 - Arts et Métiers ParisTech, 4 rue Augustin Fresnel, 57078 Metz Cedex 3, France
2 DAMAS, Laboratory of Excellence on Design of Alloy Metals for low-mAss Structures, Université de Lorraine, France
a Corresponding author: Mohamed.BenBettaieb@ensam.eu
In this paper, both the bifurcation theory and the initial imperfection approach are used to predict localized necking in substrate-supported metal layers. The self-consistent scale-transition scheme is used to derive the mechanical behavior of a representative volume element of the metal layer from the behavior of its microscopic constituents (the single crystals). The mechanical behavior of the elastomer substrate follows the neo-Hookean hyperelastic model. The adherence between the two layers is assumed to be perfect. Through numerical results, it is shown that the limit strains predicted by the initial imperfection approach tend towards the bifurcation predictions when the size of the geometric imperfection in the metal layer vanishes. Also, it is shown that the addition of an elastomer layer to a metal layer enhances ductility.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.