Impact of elastic modulus degradation on springback in sheet metal forming

被引:0
|
作者
Halilovic, Miroslav [1 ]
Vrh, Marko [2 ]
Stok, Boris [1 ]
机构
[1] Univ Ljubljana, Fac Mech Engn, Lab Numer Modelling & Simulat, Ljubljana 61000, Slovenia
[2] Kovinoplastika Loz, Ljubljana, Slovenia
来源
NUMIFORM '07: MATERIALS PROCESSING AND DESIGN: MODELING, SIMULATION AND APPLICATIONS, PTS I AND II | 2007年 / 908卷
关键词
springback; damage; orthotropic properties; stiffness degradation; parameter identification;
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Strain recovery after removal of forming loads, commonly defined as springback, is of great concern in sheet metal forming, in particular with regard to proper prediction of the final shape of the part. To control the problem a lot of work has been done, either by minimizing the springback on the material side or by increasing the estimation precision in corresponding process simulations. Unfortunately, by currently available software springback still cannot be adequately predicted, because most analyses of springback are using linear, isotropic and constant Young's modulus and Poisson's ratio. But, as it was measured and reported, none of it is true. The aim of this work is to propose an upgraded mechanical model which takes evolution of damage and related orthotropic stiffness degradation into account. Damage is considered by inclusion of ellipsoidal cavities, and their influence on the stiffness degradation is taken in accordance with the Mori-Tanaka theory, adopting the GTN model for plastic flow. In order to improve the numerical springback prediction, two major things are important: first, the correct evaluation of the stress-strain state at the end of the forming process, and second, correctness of the elastic properties used in the elastic relaxation analysis. Since in modelling of the forming process we adopt a damage constitutive model with orthotropic stiffness degradation considered, a corresponding damage parameters identification upon specific experimental tests data must be performed first, independently of the metal forming modelling. An improved identification of material parameters, which simultaneously considers tensile test results with different type of specimens and using neural network, is proposed. With regard to the case in which damage in material is neglected it is shown in the article how the springback of a formed part differs, when we take orthotropic damage evolution into consideration.
引用
收藏
页码:925 / +
页数:2
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