Ansys TwinAI™, AI-powered digital twin software, helps to significantly reduce deployment time by performing validation and verification on Twins in an environment that is more similar to IoT platforms. It offers capabilities that allow you to enrich their simulations by combining a Twin model with CSV files, FMU models or Python code. Machine Learning (ML) techniques can be applied to optimize and enhance the behavior of physics-based Twin models. Furthermore, ROM visualization capability is also available for models created with Static ROM Builder and Dynamic ROM Builder. Finally, Windows-only Twin models and FMUs (from Modelica Editor) exported from Ansys Twin Builder®, simulation-based digital twin platform, can be easily cross-compiled for execution on Linux systems. Whether you are a new or a returning user, this course will give you an overview of the tool interface, introduce you to the components that are supported, simulation execution and post-processing.
Learning Outcomes:
Following completion of this course, you will be able to:
- Import the Twin model in Ansys TwinAI software.
- Connect the Twin model to CSV input files, FMU models and Python code.
- Run the model and plot results.
Please note: These training materials were developed and tested in the 2024R2 release
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Cost: $450.00
- Course Duration: 2-4 HOURS
- Skill Level: Beginner
- Skills Gained: Importing the Twin model into Ansys TwinAI software, Connecting the Twin model to CSV input files, FMU model, Running the model and plotting resultss, and Python code,
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