What is Simcenter Amesim?
Simcenter Amesim is a leading platform for mechatronic system simulation, enabling engineers to virtually analyze and optimize system performance before building physical prototypes. Part of the Siemens Xcelerator portfolio, it supports model-based design for multi-domain systems—mechanical, hydraulic, pneumatic, electrical, thermal, and control.
Key Features and Benefits
- 50+ libraries with 6,500 validated components for various physical domains.
- Industry standards support: FMI, ONNX, Modelica, integration with Simulink and other CAE tools.
- Virtual testing to reduce prototype costs and shorten development cycles.
- Advanced tools: Reduced Order Model Builder, Statechart, Design of Experiments, animations, dashboards.
- Applications: automotive, aerospace, energy, industrial machinery, consumer products.
These capabilities help reduce development time, cut costs, and improve product quality—critical in today’s competitive environment.
Why Neural Networks Are the Future of CAE
Neural networks (Artificial Neural Networks – ANN) inspired by biological nervous systems can capture nonlinear dynamics and process complex data. Combined with Artificial Intelligence (AI) and Machine Learning (ML), they deliver unprecedented speed and simplicity in simulation.
Main Benefits for Engineers
- Up to 2500× faster simulations compared to detailed models.
- IP protection through black-box models.
- Easy neural network creation without deep AI expertise.
- ONNX standard for sharing and interoperability.
Typical Neural Network Applications in Simcenter Amesim
Automotive Simulation
- Battery temperature prediction for TESLA Model S—simulation runs 3× faster than real time.
- Driving cycle optimization and multi-attribute balancing.
HVAC Systems
- Replacing complex air-conditioning models with neural networks for 100× speed-up.
Virtual Sensors
- Pressure and temperature prediction without physical sensors, deployable on PLCs.
Aerospace
- Turboprop engine model accelerated 2500×, enabling full flight envelope analysis.
How the Workflow Works
- Import data from simulations or experiments.
- Train neural networks (Dense, RNN, LSTM, GRU).
- Validate models with metrics and plots.
- Export as submodels or ONNX files for reuse.
Why Choose Simcenter Amesim for AI and Neural Networks
- Physics + data integration for creating eXecutable Digital Twins (xDT).
- Model Order Reduction (ROM) for faster simulations without losing accuracy.
- Support for industry standards (FMI, ONNX, eFMI).
The Future of Simulation Is Data-Driven
Neural networks in Simcenter Amesim pave the way for faster, more accurate, and flexible models, driving innovation across automotive, aerospace, and energy industries.
