Where does noise come from in turbomachinery and how does it propagate? How do future low-noise aircraft engines and gas turbines need to be designed, and what new technologies are needed? The department of engine acoustics deals with these questions. Numerical simulations and experimental investigations are used to study the effects of unsteady flows, localise moving noise sources using array measurement technology and reduce turbulence-related friction phenomena.
The aviation of the future will be quiet and environmentally friendly. To achieve this goal, we must comprehensively assess the generation of noise from the design process through to detailed design. In the preliminary design of engine components, we use tools developed in-house to model noise sources and their propagation. We deepen our understanding of noise excitation mechanisms through studies at our test facilities in Berlin. Auralisation allows us to assess the auditory impact. We analyse advanced designs in numerical simulations and on realistic test benches using high-resolution aerodynamic and acoustic measurement techniques. In addition to the low-noise design of engine components, we develop and test techniques for effective noise reduction. These focus on targeted source reduction at the point of generation, e.g. by influencing flow, and attenuation of sound propagation.
Our core areas of expertise
Numerical analysis and prediction of the engine noise
Localisation of sound sources on the rotors, on the engines or on the entire aircraft during overflight measurements
Turbomachinery noise excitation and emission
Measuring unsteady aerodynamics and turbulence in turbomachinery and wind tunnels
Multidisciplinary studies, aerodynamic and acoustic optimisation
Assessing the impact of engine or aircraft design changes
Passive and active propulsion noise reduction measures and secondary flow control techniques
Design and experimental investigation of acoustically effective liners
Analysis of complex (combustion chamber) flows with regard to thermoacoustically relevant processes
