Computational Strategies for Speeding-Up F.E. Simulations of Metal Forming Processes

Autor: Fabien Delalondre, Lionel Fourment, Koffi K’podzo, Mohamad Ramadan, Frédéric Vi, Hugues Digonnet, Ugo Ripert
Přispěvatelé: Centre de Mise en Forme des Matériaux (CEMEF), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Transvalor, Energy and Thermo-Fluid group, School of Engineering, Lebanese International University (LIU), Institut de Calcul Intensif (ICI), École Centrale de Nantes (ECN), Eugenio Oñate
Rok vydání: 2017
Předmět:
Zdroj: Computational Methods in Applied Sciences ISBN: 9783319608846
Computational Methods in Applied Sciences
Computational Methods in Applied Sciences, 46, Springer, pp.71-94, 2018
DOI: 10.1007/978-3-319-60885-3_4
Popis: International audience; An overview of various numerical methods developed for speeding-up computations is presented in the field of the bulk material forming under solid state, which is characterized by complex and evolving geometries requiring frequent remeshings and numerous time increments. These methods are oriented around the axis that constitutes the meshing problem. The multi-mesh method allows to optimally solve several physics involved on the same domain, according to its finite element discretization with several different meshes, for example in the cogging or cold pilgering processes. For quasi steady-state problems and problems with quite pronounced localization of deformation, such as Friction Stir Welding (FSW) or High Speed Machining, an Arbitrary Lagrangian or Eulerian formulation (ALE) with mesh adaptation shows to be imperative. When the problem is perfectly steady, as for the rolling of long products, the direct search for the stationary state allows huge accelerations. In the general case, where no process specificity can be used to solve the implicit equations, the multigrid method makes it possible to construct a much more efficient iterative solver, which is especially characterized by an almost linear asymptotic cost.
Databáze: OpenAIRE