An Implicit Erosion Algorithm for the Numerical Simulation of Metallic and Composite Materials Submitted to High Strain Rates

Ponthot, Jean‐Philippe; Boman, Romain; Jeunechamps, Pierre-Paul; Papeleux, Luc; Deliège, Geoffrey

doi:10.16943/ptinsa/2013/v79i4/47987

Cited by 4 publications

(2 citation statements)

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“…8. Four simulations are realized with = [2,4,6,8] (layers) to determine the distance at which the remeshing does not significantly influence the results, the temperature curves are given at the substrate and deposit thermocouple in Fig. 9.…”

Section: Remeshing Simulationmentioning

confidence: 99%

“…This dynamically changing mesh induces evolving boundary conditions which need to be dealt with (boundary conditions for such simulations include convection and radiation boundary conditions and a heat flux boundary condition to model the heat input). The solution to handle this dynamically changing mesh is to follow a similar approach as the element-deletion algorithm implemented in Metafor in the scope of crack propagation [2]. This implementation allows the deactivation of finite elements based on certain failure criteria.…”

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confidence: 99%

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Element activation method and non-conformal dynamic remeshing strategy to model additive manufacturing

Laruelle¹,

Boman²,

Papeleux³

et al. 2021

Esaform 2021

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Modeling of Additive Manufacturing (AM) at the part scale involves non-linear thermo-mechanical simulations. Such a process also imposes a very fine discretization and requires altering the geometry of the models during the simulations to model the addition of matter, which is a computational challenge by itself. The first focus of this work is the addition of an additive manufacturing module in the fully implicit in-house Finite Element code Metafor [1] which is developed at the University of Liège. The implemented method to activate elements and to activate and deactivate boundary conditions during a simulation is adapted from the element deletion algorithm implemented in Metafor in the scope of crack propagation [2]. This algorithm is modified to allow the activation of elements based on a user-specified criterion (e.g. geometrical criterion, thermal criterion, etc.). The second objective of this work is to improve the efficiency of the AM simulations, in particular by using a dynamic remeshing strategy to reduce the computational cost of the simulations. This remeshing is done using non-conformal meshes, where hanging nodes are handled via the use of Lagrange multiplier constraints. The mesh data transfer used after remeshing is based on projection methods involving finite volumes [3]. The presented model is then compared against a 2D numerical simulation of Direct Energy Deposition of a High-Speed Steel thick deposit from the literature [4].

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Section: Remeshing Simulationmentioning

confidence: 99%

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confidence: 99%