Simulation

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Understanding physical processes is crucial for the optimization and further development of turbomachinery. With advanced simulation tools, we offer precise analysis and efficient solutions for a wide range of applications - from thermal turbomachinery and sealing systems to wind energy, biomedical engineering and fuel cells. These technologies not only enable an in-depth understanding of complex systems, but also the development of safe and cost-efficient configurations.

Numerical simulation techniques

Computational aerocoustics (CAA)

We offer you the opportunity to simulate aeroacoustic phenomena in detail. Using computational aeroacoustics (CAA) methods, such as the harmonic balance method, we can precisely analyze periodic flows and sound propagation. These simulations help to better understand acoustic effects and reduce noise emissions in a targeted manner, which is particularly important in the development of quieter turbomachinery.

 

Computational fluid dynamics (CFD)

Computational fluid dynamics (CFD) covers a wide range of approaches, including classic RANS simulations as well as advanced large-scale simulation (LES) and direct numerical simulation (DNS). This enables us to precisely simulate both complex flows in turbomachinery and subcomponents with a minimal degree of modeling. These methods make a significant contribution to deepening our understanding of physics and optimizing flow processes so that we can offer you sound solutions for your specific challenges.

 

Fluid-structure interaction (FSI)

Our fluid-structure interaction (FSI) simulations enable detailed analysis of the complex interactions between fluid and solid structures in machines and systems. Using the immersed boundary method, even microscopic surface roughnesses can be realistically mapped, which provides decisive insights, particularly when analyzing flow machines. Our range of services is supplemented by aeroelastic and structural mechanical simulations, which contribute to the safety and reliability of your systems.

 

Do you need numerical support? Please contact us!

Dr.-Ing. Lars Wein
Address
An der Universität 1
30823 Garbsen
Building
Room
209
Dr.-Ing. Lars Wein
Address
An der Universität 1
30823 Garbsen
Building
Room
209