Model adaptivity for industrial application of sheet metal forming simulation

In finite element simulation of sheet metal forming, shell elements are widely used. The limits of applicability of the shell elements are sometimes disregarded, which leads to an error in predictions of important values such as springback geometry. The underlying kinematic assumptions of the shell elements do not hold where the thickness of the metal sheet approaches the value of the radius of curvature. Complex three-dimensional material behavior effects cannot be represented precisely as the result of the simplified kinematics. Here we present a model adaptivity scheme based on a model error indicator. The model-adaptive technique presented in this paper aides to resolve only the critical areas of the structure with a three-dimensional discretization while keeping reasonable computational cost by utilizing shell elements for the rest of the structure. The model error indicator serves as a guide for subsequent automatic adaptive re-meshing of the work-piece followed by a model-adaptive finite element analysis. The accuracy of the approximation obtained by the model-adaptive technique coincides well with that of a more expensive solution obtained with solid elements only.

[1]  K. Bathe,et al.  A continuum mechanics based four‐node shell element for general non‐linear analysis , 1984 .

[2]  R. H. Wagoner,et al.  Simulation of springback , 2002 .

[3]  Philippe Destuynder,et al.  A classification of thin shell theories , 1985 .

[4]  E. Rank Adaptive remeshing and h-p domain decomposition , 1992 .

[5]  E. Stein,et al.  Dimensional adaptivity in linear elasticity with hierarchical test-spaces for h- and p-refinement processes , 1996, Engineering with Computers.

[6]  T. Belytschko,et al.  A uniform strain hexahedron and quadrilateral with orthogonal hourglass control , 1981 .

[7]  J. Oden,et al.  A unified approach to a posteriori error estimation using element residual methods , 1993 .

[8]  J. Tinsley Oden,et al.  Modeling error and adaptivity in nonlinear continuum mechanics , 2001 .

[9]  Alexander Muthler,et al.  Berechnung der elastischen Rückfederung von Tiefziehbauteilen mit der p-Version der Finite-Elemente-Methode , 2005 .

[10]  Z. Marciniak,et al.  The mechanics of sheet metal forming , 1992 .

[11]  G. Meda,et al.  Aggressive submodelling of stress concentrations , 1999 .

[12]  Jue Wang,et al.  A practical large‐strain solid finite element for sheet forming , 2005 .

[13]  Krueger Ronald,et al.  A Shell/3D Modeling Technique for the Analysis of Delaminated Composite Laminates , 2000 .

[14]  J. Oden,et al.  A Posteriori Error Estimation in Finite Element Analysis , 2000 .

[15]  Cecil Armstrong,et al.  Mixed‐dimensional coupling in finite element models , 2000 .

[16]  E. Ramm,et al.  On the physical significance of higher order kinematic and static variables in a three-dimensional shell formulation , 2000 .

[17]  Mary C. Boyce,et al.  Tooling design in sheet metal forming using springback calculations , 1992 .

[18]  E. Ramm,et al.  Models and finite elements for thin-walled structures , 2004 .

[19]  Ernst Rank,et al.  Applying the hp–d version of the FEM to locally enhance dimensionally reduced models , 2007 .

[20]  Ernst Rank,et al.  High order thin-walled solid finite elements applied to elastic spring-back computations , 2006 .

[21]  J. Huetink,et al.  The development of a finite elements based springback compensation tool for sheet metal products , 2005 .

[22]  S. Ohnimus,et al.  Anisotropic discretization- and model-error estimation in solid mechanics by local Neumann problems , 1999 .

[23]  Christoph Schwab,et al.  A-posteriori modeling error estimation for hierarchic plate models , 1996 .

[24]  Cecil G. Armstrong,et al.  Mixed Dimensional Coupling in Finite Element Stress Analysis , 2002, Engineering with Computers.