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Earing prediction of AA 2008-T4 with anisotropic Drucker yield function based on the second and third stress invariants

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conference contribution
posted on 2018-08-06, 00:00 authored by Saijun Zhang, Yanshan Lou, Jeong YoonJeong Yoon
© 2018 Institute of Physics Publishing. All rights reserved. This paper applies anisotropic Drucker yield function [14] (Lou and Yoon, 2018, Int. J. Plasticity 101, 125-55) to predict earing profile after cup deep drawing of AA 2008-T4. The new yield function is implemented into ABAQUS/Explicit using semi-implicit integration algorithm to calculate the increment of plastic strain. Both associated and non-associated flow rules are incorporated in this study. The predicted anisotropy and cup height profile are compared with the experimental results and those predicted from the Hill48, Yld91 and Yld2004-18p yield functions. It is observed that the earing profile predicted from the new yield function shows high accuracy. The computation time is also compared to investigate the computation cost of different yield functions. The comparison reveals that it takes the shortest time for the Hill48 function, the anisotropic Drucker yield function reduces 30%∼40% of computation cost compared with the Yld91 and Yld2004-18p functions. It is concluded from the simulation of cup deep drawing that the new yield function can provide high accurate numerical analysis of plastic deformation for anisotropic metals with competitive computation cost.

History

Event

Numerical Simulation of 3D Sheet Metal Forming Processes. Conference and Workshop (2018 : 11th : Tokyo, Japan)

Volume

1063

Issue

1

Pagination

1 - 6

Publisher

IOP

Location

Tokyo, Japan

Place of publication

Bristol, Eng.

Start date

2018-07-30

End date

2018-08-03

ISSN

1742-6588

eISSN

1742-6596

Language

eng

Publication classification

E Conference publication; E1 Full written paper - refereed

Title of proceedings

NUMISHEET 2018: 11th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes

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