Within a single CFD software environment, Simcenter empowers users to simulate not only a broad range of physics but also a broad range of body and mesh motions to accurately capture your physics. With our motion models for CFD simulations, you can simulate real-world performance of moving, overlapping objects with overset meshing, predict dynamic 6-DOF motion of bodies, understand multi-physics interactions to model performance ‘as installed’, easily drive geometric changes for design exploration, easily predict rotating/translating machine behavior and define sophisticated motions to accurately replicate machine operations.

The discrete element method (DEM) can be used to simulate the motion of a large number of interacting discrete objects (particles), such as the granular flow of aggregates, food particles, metal powders, tablets and capsules, and wheat or grass. Simcenter is the first commercial engineering simulation tool to include a DEM capability that is fully coupled with numerical flow simulation.

Computational rheology is used to model non-Newtonian or viscoelastic materials in industrial problems. The rheology solver accurately resolves the dominant physics of complex rheological material flow and helps predict their behavior.

Flow induced noise is a significant component of the acoustic signature of a vehicle (or other product). Simcenter offers an extensive library of accurate models for predicting aeroacoustics noise sources, including: steady state models, direct models (DES/LES), propagation models and acoustic perturbation equations (APE) solver. 

Simcenter supports hybrid aero-acoustic methods in which at first, a CFD simulation is used for capturing flow turbulences, which are translated into aero-acoustic sources to be plugged into a second acoustic (FEM) simulation model. The latter then predicts the acoustic propagation of these sources, including reflections and absorption in the environment. As such, for instance the cooling noise of electronic equipment of the HVAC noise in a car can be predicted.

Couple to other simulation tools through dedicated interfaces, or an intuitive API. This enables the multi-physics simulations with different time scales ranging from microseconds to thousands of seconds, providing faster and more accurate analyses and shorter turnover times for development and assessment of complex designs

Comprehensive analytical models include all aspects of the design of electric machines, including thermal, electromagnetic and drive control. Of particular importance is the efficient utilization, and even elimination, of magnets. Our simulation tools are structured to give seamless design capability over the entire range of permanent-magnet machines and the alternatives including hybrid combinations and covers the entire range of power, voltage, and speed used in vehicle systems.

Engine simulations involve moving components, multiphase flow, combustion and heat transfer. You no longer have to be an expert user to simulate internal combustion engines: using an application-specific workflow and simplified interface allows you to set up engine simulations quickly and easily. Expert users can use those simulations as the starting point for performing more complicated multiphysics engine simulations that exploit the full range of Simcenter STAR-CCM+ simulation capabilities.

Power electronics technology drives innovation in vehicle electrification, energy conversion, and beyond. Thermal reliability and lifetime of power semiconductor devices are affected by peak operating temperatures, temperature cycling, and temperature gradients within the device.

Simcenter simulation software and thermal test solutions hardware provide a unique, comprehensive solution to address thermal management design and reliability assessment. A package thermal model automatically calibrated using a thermal transient measurement performed via electrical test method enables prediction of the junction temperature response to a known high accuracy. Using a calibrated simulation model, engineers can better optimize module and system-level thermal designs, and more accurately predict temperature vs power for an operational mission profile.