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TrainingsTrainings

On November 27th a basic and advanced DIGIMAT training will take place in two parallel sessions.
                                        
Basic TrainingBasic Training
 
Objectives

 The training aims at providing you with the information you need to:
  • Define and analyze a reinforced material in DIGIMAT-MF using linear thermo-elastic and non-linear elasto-plastic material models;
  • Include micromechanical models defined above within a multi-scale analyses using DIGIMAT to CAE (Abaqus, ANSYS or LS-DYNA);
  • Apply the multi-scale modeling process to reinforced plastics parts taking into account the fiber orientation predicted by Injection Molding Software (Moldflow, Moldex3D, Sigmasoft).
The training is a combination of presentations and live product tours/demos followed by practical hands-on sessions.

This training will give you the opportunity to:
  • Have a first hands-on understanding and experience with linear and nonlinear multi-scale modeling with DIGIMAT;
  • Learn more about the latest DIGIMAT capabilities;
  • Take full advantage of DIGIMAT capabilities for a more predictive modeling of reinforced materials and structures.
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Advanced TrainingAdvanced Training
Objectives

The training aims at providing existing DIGIMAT users with in-depth information concerning:
  • Nonlinear and rate dependent material modeling;
  • Continuous damage and failure;
  • Performance Optimization of implicit & explicit (Crash) DIGIMAT to CAE analyses;
  • Apply the multi-scale modeling process to reinforced plastic parts.
The training is a combination of presentations and live product demos followed by practical hands-on sessions.

This training will give you the opportunity to:
  • Acquire an in-depth understanding of the latest DIGIMAT capabilities;
  • Take full advantage of DIGIMAT capabilities for a more predictive modeling of reinforced materials and structures.
To participate to this advanced training you must first participate to the Basic 1 day training or have an equivalent experience with DIGIMAT.

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