Materials Modelling for Engineering Simulations

Conference Proceedings

C​ontents

Introduction of the Concept of Intelligent Material Characterization System for Reinforced and Unreinforced Polymeric Materials for Simulation Purposes - L. Kovács, G. Erdős (eCon Engineering Ltd); S. Berezvai (Budapest University of Technology and Economics); B. Fodor (BMW Group)

Open-Source Algorithm for Determining and Mapping the Local Material Orientation from 3D X-Ray Scans to Finite Element Models - L. Mikkelsen (DTU Technical University of Denmark)

Novel Parametrization Protocol of Coarse-Grained Simulations for Accurate Calculation of Material Properties - T. Sweere, J.-W. Handgraaf (Siemens Digital Industries Software)

Multiscale Modeling: Failure Analysis of a Notched Fiber Reinforced Laminate - J. Granlund, D. K. Patel (Dassault Systemes Simulia)

Modelling and Simulation Application for Paperboard-Based Packaging - J. Tryding (TetraPak)

Finite Element Modelling of Pharmaceutical Powder Compaction - K. Wszoła, T. Hansen, I. Fragkopoulos (Novo Nordisk)

Simulation of the Structural Behavior of a Thermoplastic Sandwich Composite with Honeycomb Core - H. Rusch, W. Safdar, R. Schlimper (Fraunhofer IMWS)

Multi-Scale Simulation of Metamaterials for Vibration Suppression - L. Lima, B. Lopes, F. Souza (Siemens Industry Software Inc.); J. Khalilov (ASML Netherlands BV)

Materials Modelling for Engineering Simulations – Current Practice and Future Challenges

Predictive numerical simulations of manufactured products require realistic and computationally efficient models of the physical behaviour of materials. In their daily practice, simulation engineers have to make several decisions to select the material model that is most adequate for the intended purpose (e.g., able to reproduce the physical reality of the problem at hand) given the available resources (e.g., time, computing power). Based on the scope and purpose of the simulation, aspects such as type of material, loading conditions, failure modes, strain-and stress magnitude, temperature range, and dynamic effects will determine what aspects the material behaviour need to be included in the model. The capacity to simulate the response of materials under various circumstances depends heavily on the availability of adequate experimental data for model calibration, which becomes particularly challenging for more advanced models, possibly accounting for coupled physical phenomena which occur at different length scales.