136 Issue DYNAmore News

Published on 18 June 2019

1.) Proceedings of the European Conference online
2.) Information Day: Material Characterization and Measurement Technology
3.) Selection of seminars
4.) IT security: SCALE receives TISAX® certification according to VDA ISA
5.) CASCATE: Information Day CFD with STAR-CCM+®
6.) AIAx research project with DYNAmore

1. Proceedings online
200 presentations, 8 workshops and 500 participants: the 12th European LS-DYNA Conference 2019 in Koblenz was a great success. We would like to take this opportunity to thank all participants once again. All submitted papers can be downloaded here.

2. Information Day: Material Characterization and Measurement TechnologyThe free information day on July 22, 2019 in Stuttgart provides an insight into the characterization of mechanical material properties and the creation of material cards in LS-DYNA. Further information and registration can be found here.

3.Accompanying Seminars
- Introduction to Simulation Data and Process Management in LoCo (3-4 July, Stuttgart, Germany)
Registration

- Applied Forming Simulation with eta/DYNAFORM (8-9 July, Stuttgart, Germany)
Registration

- Hot Forming with LS-DYNA (11-12 July, Stuttgart, Germany)
Registration

- CESE Compressible Fluid Solver (25 July, Stuttgart, Germany)
Registration

4. IT security: SCALE receives TISAX® certification according to VDA ISA
SCALE received the TISAX® certification for processing information with very high protection level. The successful certification confirms the high standards in dealing with sensitive information. Further information can be found here.

5. CASCATE: Information Day CFD with STAR-CCM+®
The DYNAmore subsidiary CASCATE invites all LS-DYNA users to the free information day CFD with STAR-CCM+® on 10 July 2019 in Stuttgart. The flyer and all further information can be found here.

6. AIAx research project with DYNAmore
Under the motto "Machine Learning-driven Engineering - CAx goes AIAx", DYNAmore is involved in this research project together with renowned partners. The aim is to further develop the existing ML processes with regard to traceability and robustness. More information can be found here.