It seems like everyone in engineering and manufacturing is talking about AI currently, but it is far from clear what this means, and how it can be deployed in a practical and safe way.

This free hands-on workshop is aimed at giving attendees and introduction into machine learning (aka reduced order modelling).

In this one day workshop will show you how CAE data may be used to build a trained ODYSSEE database, allowing near realtime predictions to be made at any point afterwards. ODYSSEE may be used with many CAE tools and test data. E.g. statics, dynamics, non-linear, explicit, Multibody dynamics. For convenience, we will look at how MSC Nastran^TM models may be used to build a ROM very quickly and conveniently. In addition, we will cover Smart Superelelements - a way to incorporate easily modifiable variables into an external Superelement, allowing on-the-fly changes to be made.

What you'll learn:

• How to import different types of data into ODYSSEE
• How to define variables
• Guidelines on the amount of data needed for accurate predictions
• How to use the CAE input file parsers to launch a DOE and collect the data in order to train the ROM
• How to verify the quality of the ROM, and to validate against further CAE runs
• How Odyssee may also be used as an alternative to the traditional methods for design optimisation
• How to useODYSSEE to construct and deploy an MSC Nastran^TM Smart Superelelement
  
  

Who should attend?

• CAE engineers well versed in running, modifying, and rerunning CAE models
• CAE Methods Managers looking for ways to improve CAE processes, and embrace the possibilities that AI has to offer