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Get an overview of systems modeling and how to setup a virtual testing process to assess and develop your products faster and more sustainably.

You will see how the acausal modeling language Modelica can be fully taken advantage of through Dymola to build multi-purpose physics models of complete vehicles which are then used in entire virtual test programs within the same simulation environment.

About this Event

In the opening session we will focus on systems modeling and how the Modelica language approach lends itself to multi-domain/multi-physics systems integration compared to more traditional procedural code solutions.

Simulations can be used to help estimate and reduce risk while evaluating design concepts, but also add value later in development process as an efficient fault-finding process as you can test the effects of partial or complete component failure on the safety and dynamics of the system. Simulations can also extend to replacing entire physical test programs. The case study presents a virtual methodology to exercise vehicle models to be able to generate test data that can be used in durability analysis tools to predict the mode and also the point of failure of the powertrain and driveline components. The same methodology could be applied to other subsystems and also applied to non-automotive applications.

Topics Covered

  • Benefits of systems modelling
  • Acausal vs. causal (procedural code)
  • Application examples
  • Industrial case study benefit (durability testing)

Who Should Attend?

Anyone with an interest in multi-physics systems modeling and testing virtualization.

A recording from the The Simulation Innovation Forum (SIMIF) 2022 Series.

Moderator/en
Alessandro Picarelli
Alessandro Picarelli
Claytex
David Briant
David Briant
Claytex
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