Application of nonlocal damage models to sheet forming applications

H.H. Wisselink, J. Huétink

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
21 Downloads (Pure)

Abstract

Damage and fracture are important criteria in the design of products and processes. Traditional assessments of the formability of sheet metal materials are based on the appearance of geometrical instabilities, the necking of the sheet. A commonly used method to predict geometrical instabilities in sheet metal forming processes is the Forming Limit Curve (FLC). However, the use of an FLC has some limitations in case of small radius over thickness ratios, non proportional strain paths and non-traditional forming materials with less formability, such as aluminium and high-strength steels. These materials often fail due to physical instabilities, even before necking starts. For crash simulations the FLC is too conservative as also during necking energy is absorbed. Ductile damage models can be used complementary to the FLC approach to improve the failure predictions.
Original languageEnglish
Title of host publicationComputational Plasticity IX - Fundamentals and Applications (COMPLAS 2007), 5-7 September 2007, Barcelona, Spain
EditorsE Onate, D.R.J Owen, B. Suarez
Place of PublicationBarcelona, Spain
PublisherInternational center for numerical methods in engineering (CIMNE)
Pages521-524
Volume1
ISBN (Print)978-84-96736-2
Publication statusPublished - 2007
Event9th International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2007 - Barcelona, Spain
Duration: 5 Sep 20077 Sep 2007
Conference number: 9

Conference

Conference9th International Conference on Computational Plasticity. Fundamentals and Applications, COMPLAS 2007
Abbreviated titleCOMPLAS 2007
CountrySpain
CityBarcelona
Period5/09/077/09/07

Fingerprint

Dive into the research topics of 'Application of nonlocal damage models to sheet forming applications'. Together they form a unique fingerprint.

Cite this