Effect of yield surface distortion on the failure prediction of Mg alloy sheets

2020 ◽  
Author(s):  
Kai Zhang ◽  
Hao Li ◽  
Jianlin Liu
Keyword(s):  
Yield Surface ◽  
Failure Prediction ◽  
Mg Alloy ◽  
Surface Distortion ◽  
Yield Surface Distortion

An examination of yield surface distortion and translation

1984 ◽  
Vol 52 (1-2) ◽  
pp. 15-40 ◽  
Author(s):  
D. W. A. Rees
Keyword(s):  
Yield Surface ◽  
Surface Distortion ◽  
Yield Surface Distortion

A Theory of Multiaxial Anisotropic Viscoplasticity

1981 ◽  
Vol 48 (2) ◽  
pp. 276-284 ◽  
Author(s):  
M. A. Eisenberg ◽  
C.-F. Yen
Keyword(s):  
Yield Surface ◽  
Stress Space ◽  
Anisotropic Hardening ◽  
Surface Distortion ◽  
Induced Changes ◽  
Yield Surface Distortion

A theory of anisotropic viscoplasticity is developed. It is compared with and shown to reduce to existing theories under appropriate restrictions. The theory accommodates anisotropic hardening laws which, by means of Lagrangian mappings in stress space, incorporate experimentally observed yield surface distortion as well as kinematic and isotropic flow-induced changes. The theory is applied to the prediction of flow surfaces in tension-torsion space.

A New Model to Describe Yield Surface Distortion Based on the Baltov and Sawczuk’s Model

2012 ◽  
Author(s):  
A. Nayebi ◽  
H. Rokhgireh
Keyword(s):  
Yield Surface ◽  
Kinematic Hardening ◽  
Experimental Results ◽  
Surface Model ◽  
New Model ◽  
Surface Distortion ◽  
Loading Direction ◽  
Reverse Loading ◽  
Reversed Loading ◽  
Yield Surface Distortion

In the present study Baltov and Sawczuk’s yield surface model is modified to represent compatible results with experimental observations. The proposed yield surface is determined during tension-torsion loading by considering kinematic hardening model and monotonic loading paths. The experimental results represent the nosed and flattened region in the loading and reverse loading direction respectively. The nosed region is dominant in tension than in torsion. The cross-effect is negligible in the small plastic strain amount. The Baltov and Sawczuk’s yield surface has nosed and flattened regions in both loading and reversed loading directions for negative and positive added material parameter respectively. Thus the elliptic Baltov and Sawczuk’s yield surface is modified by changing the sign of this parameter continuously from loading to reverse loading direction and the needed relations of the new model are obtained. The new model was able to predict properly the shape of yield surface. The experimental results compare well with the new model yield surface distortion predictions.

Numerical simulation of sheet metal blanking based on fully coupled elastoplasticity-damage constitutive equations accounting for yield surface distortion-induced anisotropy

2016 ◽  
Vol 26 (7) ◽  
pp. 1061-1079 ◽  
Author(s):  
Zhenming Yue ◽  
Houssem Badreddine ◽  
Khemais Saanouni ◽  
Xincun Zhuang ◽  
Jun Gao
Keyword(s):  
Numerical Simulation ◽  
Sheet Metal ◽  
Yield Surface ◽  
Kinematic Hardening ◽  
Induced Anisotropy ◽  
Surface Distortion ◽  
Edge Quality ◽  
Blanking Process ◽  
Fully Coupled ◽  
Yield Surface Distortion

This paper deals with the numerical simulation of sheet metal blanking process based on fully coupled elastoplastic model accounting for the induced anisotropies due to the kinematic hardening and the yield surface distortion. The yield surface distortion is assumed to be controlled by the kinematic hardening leading additional extra hardening which enhances the predictive capabilities of the model. Series of finite element-based numerical simulations of blanking process with four kinds of assumed distortional hardening parameters have been conducted. Through the comparison between the experimentally observed responses and the numerically predicted ones with and without the yield surface distortion effect, the significance of the yield surface distortion-induced anisotropy on the estimation of the blanking edge quality has been investigated.

scholarly journals Thermodynamically consistent modeling of yield surface distortion

PAMM ◽  
2013 ◽  
Vol 13 (1) ◽  
pp. 139-140
Author(s):  
Baodong Shi ◽  
Jörn Mosler
Keyword(s):  
Yield Surface ◽  
Surface Distortion ◽  
Yield Surface Distortion
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