Use of a Mixed Shell Element for Efficient Modeling of Sheet Metal Forming

1991 ◽  
Author(s):  
T. Y. P. Chang ◽  
A. F. Saleeb ◽  
J. Yuan
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Shell Element ◽  
Efficient Modeling

Development of New Hybrid Shell Element Takinging the Normal Stress into Account

2013 ◽  
Vol 313-314 ◽  
pp. 202-205
Author(s):  
Hong Lu ◽  
Wen Huang
Keyword(s):  
Stress Distribution ◽  
Normal Stress ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Shell Element ◽  
Mixed Formulation ◽  
Normal Strain ◽  
Thickness Direction ◽  
Stress Prediction

The calculation of the stress distribution in the forming stage of sheet metal forming is critical to the accuracy of springback simulation. In order to improve the accuracy of stress prediction, a new mixed shell element is presented. Two pseudo nodes are added in the thickness direction so that the normal strain can be calculated using the displacements of the nodes. Mixed formulation is used instead of that of pure displacement. As a result, the accuracy of stress prediction is improved. Examples are given to show the improvement.

An efficient DKT rotation free shell element for springback simulation in sheet metal forming

2002 ◽  
Vol 80 (27-30) ◽  
pp. 2299-2312 ◽  
Author(s):  
Y.Q. Guo ◽  
W. Gati ◽  
H. Naceur ◽  
J.L. Batoz
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Shell Element

scholarly journals Explicit Analysis of Sheet Metal Forming Processes Using Solid-Shell Elements

Metals ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 52
Author(s):  
Qiao-Min Li ◽  
Zhao-Wei Yi ◽  
Yu-Qi Liu ◽  
Xue-Feng Tang ◽  
Wei Jiang ◽  
...  
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Shell Element ◽  
Adaptive Mesh ◽  
Solid Shell ◽  
Shell Elements ◽  
Yield Functions ◽  
Explicit Analysis ◽  
Physical Stabilization

To simulate sheet metal forming processes precisely, an in-house dynamic explicit code was developed to apply a new solid-shell element to sheet metal forming analyses, with a corotational coordinate system utilized to simplify the nonlinearity and to integrate the element with anisotropic constitutive laws. The enhancing parameter of the solid-shell element, implemented to circumvent the volumetric and thickness locking phenomena, was condensed into an explicit form. To avoid the rank deficiency, a modified physical stabilization involving the B-bar method and reconstruction of transverse shear components was adopted. For computational efficiency of the solid-shell element in numerical applications, an adaptive mesh subdivision scheme was developed, with element geometry and contact condition taken as subdivision criteria. To accurately capture the anisotropic behavior of sheet metals, material models with three different anisotropic yield functions were incorporated. Several numerical examples were carried out to validate the accuracy of the proposed element and the efficiency of the adaptive mesh subdivision.

Fast Prediction of Springback at Product Design Stage for Sheet Metal Forming

2008 ◽  
Vol 575-578 ◽  
pp. 525-531
Author(s):  
Zhi Bing Zhang ◽  
Yu Qi Liu ◽  
Ting Du ◽  
Zhi Gang Li
Keyword(s):  
Sheet Metal ◽  
Hybrid Method ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Shell Element ◽  
Design Stage ◽  
Curvature Radius ◽  
Forming Process ◽  
Metal Forming Process ◽  
Fast Prediction

A novel hybrid method is proposed in the paper, which is an assistant tool for product designers to estimate springback in sheet metal forming process at the preliminary design stage. In the hybrid method, the forming results are obtained firstly by an inverse finite element approach (IA) with a membrance element. The thickness strain and stress can be calculated according to the approximate curvature radius of the discrete meshes. Then, a rotation-free shell element is employed, with only three displacements at the corner nodes of the element, to calculate the springback. To verify the accuracy and efficiency of the hybrid method, the numerical results of the hybrid method on two benchmark tests are compared with experimental results.

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