Inverse analysis methodology on metal sheets for constitutive parameters identification
by P.A. Prates; J.V. Fernandes; M.C. Oliveira; N.A. Sakharova
International Journal of Materials Engineering Innovation (IJMATEI), Vol. 4, No. 2, 2013

Abstract: This work proposes an inverse analysis methodology for determining the constitutive models parameters, used to describe the plastic behaviour of metal sheets, from results of a single experimental biaxial tensile test on a flat cruciform sample. The proposed methodology is based on a direct analysis of finite element simulation results carried out for different combinations of material plastic properties. The biaxial test sensitivity to the in-plane r-value distribution was evaluated. An inverse analysis methodology was thus established, enabling the determination of the yield criterion parameters by evaluating the relative error between numerical and experimental results of the biaxial tensile test, namely the load evolution with the displacement and the equivalent strain distribution along the symmetry axes. Finally, the proposed methodology was numerically validated throughout the identification of Hill'48 yield criterion parameters for a material with a plastic behaviour well described by this criterion and the Swift hardening law.

Online publication date: Sat, 19-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Materials Engineering Innovation (IJMATEI):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com