Model, predict and optimise system performance across the lifecycle
Products are increasingly complex, combining mechanical, electrical, hydraulic, pneumatic and thermal elements that traditional design techniques struggle to handle. Simcenter Amesim provides accurate dynamic digital twins of mechatronic systems during design — so manufacturers can anticipate system behaviour, optimise performance, reduce prototypes and make balanced engineering decisions faster.
Why Simcenter Amesim
- Predict mechatronic system behaviour before prototypes exist.
- Explore multiple design options and balance conflicting attributes.
- Reduce physical testing and development cost.
- Improve collaboration between mechanical, electrical and controls teams.
- Shorten time-to-market with accurate, early-stage simulation.
What makes it a leading platform
- Build digital twins faster & earlier — rapidly create 1D models of mechanical, electrical, hydraulic, pneumatic and thermal systems for virtual prototyping, architecture trade-offs, performance prediction and control-strategy development.
- 6,500+ validated multiphysics components — industry-proven libraries for hydraulics and pneumatics, electrics, thermal/HVAC, combustion engines, powertrain and vehicle dynamics, flight dynamics, marine, energy and heavy equipment.
- Open, interoperable & enterprise-friendly — integrates with major CAD/CAE tools, controls software (Simulink), FMI and Modelica, Teamcenter, and Simcenter 3D, STAR-CCM+ and FLOEFD.
- Real-time & HPC workflows — run in real time for HIL/SIL testing, on HPC clusters, in the cloud, or as overnight batch runs.
- Scripting, automation & optimisation — automate repetitive tasks, build custom GUIs, and run optimisation and sensitivity studies.
Industry applications
Used across automotive, aerospace, heavy equipment, industrial machinery, marine, energy and consumer goods. In automotive, teams optimise engines, transmissions and electrified powertrains, improve thermal management and validate controls — with OEMs reporting up to 10× fewer prototypes and 30% less development time. In aerospace it supports the Virtual Integrated Aircraft approach (fuel, environmental control, landing gear, electrical networks, flight dynamics); in machinery and heavy equipment it optimises hydraulic, pneumatic and thermal systems and evaluates hybrid/electric architectures.
Key benefits
Accelerate design cycles, reduce prototype cost, improve system performance early, balance conflicting requirements, enable model-based systems engineering, support electrification and sustainability goals, and enhance cross-domain collaboration and traceability.