Other Applications

Tackle all your engineering challenges by developing data-driven workflows with NC

EMAG simulations are a key block in the energy transition

With NC, you can build AI surrogate models that are orders of magnitude faster than traditional CAE methods. This means you can iterate more quickly and reduce your development costs, bringing your E-motor to market faster, with lower costs, and higher performance.

HVAC systems are difficult to model accurately due to the complex interactions between many components

NC lets you build AI surrogate models that capture the complex behavior of your HVAC system. This means you can design more efficient and comfortable HVAC systems, with fewer iterations and less risk.

Hydrodynamic simulations are computationally expensive and can take days or even weeks to run

NC enables you to build AI surrogate models that are orders of magnitude faster than traditional hydrodynamic simulations. This means you can explore more design options and get results more quickly, lowering the overall costs.

Source: NAFEMS NRC 22 Conference, Neural Concept & Plastic Omnium “Neural network investigation for rheology simulation model with Neural Concept”

Manufacturing processes are complex and can be difficult to control

NC equips you to build AI surrogate models that can predict the behavior of your manufacturing process. This means you can optimize your manufacturing operations and improve your product quality, without sacrificing efficiency or flexibility.

While crash simulations are essential for vehicle safety, they can be very expensive to run

NC empowers you to build real-time AI surrogate models. This means you can run more simulations and improve the safety of your vehicles, without putting your customers at risk.

Source: NAFEMS Artificial Intelligence und Machine Learning in der CAE-basierten Simulation Conference 2023, Neural Concept ¨Machine Learning to Empower Engineering Organizations: Technology & Applications¨