Analysis of Earing in Deep Drawn Cups

The cup-drawing of a strongly anisotropic sheet metal is simulated using a commercial finite element software along with a user material subroutine. In order to accurately describe the plastic anisotropy of the material the well-known recent yield function 'Yld2004-18p' is extended. Regard...

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Bibliographic Details
Published in:AIP conference proceedings 2010-06, Vol.1252 (1), p.417-424
Main Authors: Aretz, Holger, Aegerter, Johannes, Engler, Olaf
Format: Article
Language:English
Subjects:
AGING
ALGEBRA
ALLOYS
ALUMINIUM ALLOYS
ANISOTROPY
CALCULATION METHODS
COMPUTER CODES
Computer programs
Computer simulation
COMPUTERIZED SIMULATION
Cups
Depth profiling
Dynamic strain aging
Earing
FINITE ELEMENT METHOD
LOADING
MATERIALS HANDLING
MATERIALS SCIENCE
Mathematical analysis
Mathematical models
MATHEMATICAL SOLUTIONS
MATHEMATICS
MECHANICAL PROPERTIES
NUMERICAL SOLUTION
Oscillating
Plastic anisotropy
Plastic deformation
Plastic strain
Sheet metal
SIMULATION
Software
Strain
STRAIN AGING
Subroutines
TENSILE PROPERTIES
Tensile tests
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Description
Summary:The cup-drawing of a strongly anisotropic sheet metal is simulated using a commercial finite element software along with a user material subroutine. In order to accurately describe the plastic anisotropy of the material the well-known recent yield function 'Yld2004-18p' is extended. Regarding the experimental characterization of the considered material the occurrence of dynamic strain aging lead to an oscillating signal of the width change of the tensile samples, which prevented a reliable determination of plastic strain ratios (r-values). Thus, an improved measurement concept was developed that leads to a very robust and reproducible determination of r-values. Furthermore, a novel plane-strain tensile test sample is presented which is used for the characterization of the plastic anisotropy in biaxial loading states. A quantitative comparison with measured earing profiles of deep drawn cups illustrates the predictive capabilities of the numerical simulation.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.3457585