Modeling plastic anisotropy evolution of AISI 304 steel sheets by a polynomial yield function

被引:11
作者
Sener, Bora [1 ]
Esener, Emre [2 ]
Firat, Mehmet [3 ]
机构
[1] Yildiz Tech Univ, Dept Mech Engn, TR-34349 Istanbul, Turkey
[2] Bilecik Seyh Edebali Univ, Dept Mech Engn, TR-11230 Bilecik, Turkey
[3] Univ Sakarya, Dept Mech Engn, TR-54187 Sakarya, Turkey
来源
SN APPLIED SCIENCES | 2021年 / 3卷 / 02期
关键词
Stamping; Anisotropy evolution; Polynomial yield criterion; AISI 304 stainless steel; ALUMINUM-ALLOY SHEETS; STRAIN RATIO; CRITERION; FLOW; TENSION; METAL;
D O I
10.1007/s42452-021-04206-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this study, a numerical model for the evolution of plastic anisotropy is investigated for the purpose of stamping method design by Finite Element (FE) analysis and proved experimentally via process simulations of a cold-rolled austenitic stainless steel (AISI 304) sheet. The plastic anisotropy of the sheets is described with a fourth-order homogenous polynomial yield function and this modelling approach is enhanced by plastic strain dependent material coefficients. Tensile tests of coupon specimens taken along the different directions from rolling direction, and flow strength and deformation anisotropies are described with the planar variations of yield stress and plastic strain ratio computed at four plastic strain levels (0.002, 0.02, 0.05 and 0.18). A new numerical approach is, then, applied to identify polynomial coefficients ensuring an orthotropic positive-definite, convex yield surface with a well-defined stress gradient at every loading point on plane stress subspace. The developed computational model is implemented into general purpose explicit FE analysis software Ls-Dyna by a user-defined material model subroutine (UMAT) and applied in the stamping simulation of AISI 304 steel rectangular cups for the house-hold applications. The computed thickness distributions and the flange geometries were compared with measurements and it was observed that the best predictions were done with material parameters at %5 plastic strain level.
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页数:12
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