Combining Physics Accuracy and Data-Driven Insights with Ansys Digital Twin

Overview

In this workshop, we will:

Explore the power of Reduced Order Models (ROMs) as a tool to accelerate simulations significantly. ROMs enable faster and more efficient simulation processes while maintaining the accuracy required for reliable engineering analysis. We will also discuss the integration of system modeling with multi-fidelity approaches, including co-simulation. This integration allows engineers to analyze complex systems seamlessly at varying levels of detail, improving overall workflow efficiency.

Additionally, we will demonstrate how Ansys TwinAI can accelerate simulations to near real-time performance. This innovative tool enhances the accuracy of simulations while requiring minimal experimental data, streamlining the entire simulation process.

Finally, the workshop will cover the construction of hybrid digital twins, a unique approach that combines simulation and experimental results. This method reduces simulation time and the number of experiments needed, making it an invaluable resource for engineers.

What attendees will learn

During this hands-on workshop, participants will actively:

• Build and use Reduced Order Models (ROMs) to speed up simulations.
• Build system models by combining models from various sources.
• Combine Physics Simulation and Sensor Data for predictive insights using Hybrid Analytics.
• Prepare Digital Twin models for deployment as container apps on IoT platforms or integration with other tools, such as Python.

Who should attend

System Engineers, Simulation Engineers, Virtual Validation enthusiasts

This workshop will be a hands-on session focused on practical application rather than detailed theory.