MSC Software Corporation, a global leader in helping product manufacturers to advance their engineering methods with simulation software and services, announced today, the newest release of Easy5 2017. Easy5 2017 expands its platform in Multi-domain modeling and simulation solutions to deliver even more enhanced performance. The release will be available in December 2016.
Highlights of this release include:
- Functional Mock-up Unit Export
With Easy5 2017, Functional Mock up Unit (FMI) for Model Exchange is supported. Users can now designate quantities with "Parameter" causality, so that they are not allowed to vary during a simulation. This provides engineers with a more generalized, portable method for exporting Easy5 models into other tools or including models from other tools into their Easy5 models.
- Global Library Configuration Parameters
Easy5 2017 now includes the ability to create global configuration parameters. The parameters are used to control how components in a particular application library are configured.
The Thermal/Hydraulics Library supplied with Easy5 2017 includes two distinct configurations for many components: the normal default configuration and a "reduced order" configuration. The same model can switch between high fidelity and reduced order with a single command. This allows the user to build an exact simulation of a physical plant and/or controls, verify it, and then switch to an approximation that will run in real time without recoding or modifications.
- Reduced Order Modeling
The Thermal/Hydraulics Library (HC), delivered with Easy5 2017, now includes a global configuration parameter to control whether hydraulics models are generated in full fidelity (default) or in a "reduced order" mode. A number of components now have an additional distinct configuration that simplifies the generated executables to the point they can run with an Euler fixed-step integrator.
Models can now be created, tested, and verified through FMU to run on real-time simulators. The process of reducing the model order requires minimal user interaction. Results from reduced order and full fidelity models can be directly compared for accuracy.
