FE Robustness: comparing sheet metal forming variation and finite element models

2004 ◽  
Author(s):  
B. F. Rolfe
Keyword(s):  
Finite Element ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Finite Element Models

Lagrangian Methods of Finite Element Simulations in Sheet Metal Forming Process

2014 ◽  
Vol 563 ◽  
pp. 3-6
Author(s):  
Lei Chen ◽  
Hui Qin Chen ◽  
Zhi Hua Li ◽  
Qiao Yi Wang
Keyword(s):  
Finite Element ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Finite Element Simulations ◽  
Lagrangian Formulation ◽  
Large Displacement ◽  
Small Displacement ◽  
Finite Element Models ◽  
Lagrangian Methods

Simulation method has become an increasing important problem to establish the trustworthiness of models in the finite element simulations. Finite element models in sheet metal forming, which involves large deformations, large displacement and friction, are uncertainly with different methods. Finite element models based on different Lagrangian methods have been used to analyze the deep drawing process. The tools are modeled as rigid surfaces. The blank is modeled as a deformable body. The interaction of sliding surfaces is modeled with a modified Coulomb friction law. The Finite element results of strain and thickness distributions are validated by comparison with the experiment. It is shown that the main difference of Total Lagrangian formulation (T.L.) and Updated Lagrangian formulation (U.L.) lies in the large displacement and deformation, whilst agree well with small displacement and deformation.

scholarly journals Strategies for increasing the accuracy of sheet metal forming finite element models

2018 ◽  
Vol 1063 ◽  
pp. 012138
Author(s):  
Toni Chezan ◽  
Tushar Khandeparkar ◽  
Jeroen van Beeck ◽  
Mats Sigvant
Keyword(s):  
Finite Element ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Finite Element Models

Multi-Step Forward Finite Element Method for the Numerical Simulation of Sheet Metal Forming

2011 ◽  
Vol 474-476 ◽  
pp. 251-254
Author(s):  
Jian Jun Wu ◽  
Wei Liu ◽  
Yu Jing Zhao
Keyword(s):  
Numerical Simulation ◽  
Finite Element Method ◽  
Finite Element ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Deep Drawing ◽  
Metal Forming ◽  
Mapping Method ◽  
Constitutive Relationship ◽  
Element Method

The multi-step forward finite element method is presented for the numerical simulation of multi-step sheet metal forming. The traditional constitutive relationship is modified according to the multi-step forming processes, and double spreading plane based mapping method is used to obtain the initial solutions of the intermediate configurations. To verify the multi-step forward FEM, the two-step simulation of a stepped box deep-drawing part is carried out as it is in the experiment. The comparison with the results of the incremental FEM and test shows that the multi-step forward FEM is efficient for the numerical simulation of multi-step sheet metal forming processes.

Surrogate POD Models for Parametrized Sheet Metal Forming Applications

2013 ◽  
Vol 554-557 ◽  
pp. 919-927 ◽  
Author(s):  
Hamdaoui Mohamed ◽  
Guénhaël Le Quilliec ◽  
Piotr Breitkopf ◽  
Pierre Villon
Keyword(s):  
Finite Element ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Optimization Problems ◽  
Strain Tensor ◽  
Forming Limit ◽  
Work Piece ◽  
Displacement Fields ◽  
Lagrange Strain

The aim of this work is to present a POD (Proper Orthogonal Decomposition) based surrogate approach for sheet metal forming parametrized applications. The final displacement field for the stamped work-piece computed using a finite element approach is approximated using the method of snapshots for POD mode determination and kriging for POD coefficients interpolation. An error analysis, performed using a validation set, shows that the accuracy of the surrogate POD model is excellent for the representation of finite element displacement fields. A possible use of the surrogate to assess the quality of the stamped sheet is considered. The Green-Lagrange strain tensor is derived and forming limit diagrams are computed on the fly for any point of the design space. Furthermore, the minimization of a cost function based on the surrogate POD model is performed showing its potential for solving optimization problems.

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