Accurately representing the physical behavior of the different fluid and solid phases is key to capturing the real-world performance of your product. Simcenter offers a variety of both Eulerian and Lagrangian modeling capabilities to suit your multiphase flow simulation software needs.

Ottieni informazioni dettagliate sulle interazioni tra campi di moto turbolenti e le reazioni chimiche sottostanti dei flussi reagenti. Simcenter ti aiuta a migliorare il rapporto costi-benefici tra prestazioni ed emissioni del dispositivo, in condizioni operative diverse.

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.

Simcenter Cloud HPC has been designed and architected to provide a robust and dependable HPC service for simulation users. Privacy, security and availability of the service are top priorities for Siemens’ customers and Simcenter Cloud HPC incorporates the combined knowledge and best practices developed by Siemens and AWS. Additionally, the service follows industry standards on privacy and security and holds a range of certifications. For more information, see the Siemens and AWS joint whitepaper on architecture and security.

The computational fluid dynamics (CFD) capability in Simcenter offers an efficient and accurate set of fluid dynamics models and solvers with excellent parallel performance and scalability. It provides a solid foundation for multidisciplinary design exploration.