H2020 ARTEM - Aircraft noise Reduction Technologies and related Environmental iMpact

ARTEM

ARTEM (Aircraft noise Reduction Technologies and related Environmental iMpact) is a four-year research project devoted to the development of novel noise reduction technologies for low-noise 2035 and 2050 aircraft configurations.

Objectives

The first core topic of ARTEM is the development of innovative technologies for the reduction of aircraft noise at the source. The approach moves beyond the reduction of isolated noise sources as pure fan or landing gear noise and addresses the interaction of various components and sources - which often contributes significantly to the overall noise emission of the aircraft.

Secondly, ARTEM addresses innovative concepts for the efficient damping of engine noise and other sources by the investigation of dissipative surface materials and liners. The development work will mature, and subsequently down select these technologies by comparative testing in a single relevant test setup. Furthermore, noise shielding potential for future aircraft configurations will be investigated.

The noise reduction technologies will be coupled to the modelling of future aircraft configurations as the blended wing body (BWB) and other innovative concepts with integrated engines and distributed electrical propulsion. The impact of those new configurations with low noise technology will be assessed in several ways including industry tools, airport scenario predictions, and auralization.

Initiated by the Association of European Research Establishments in Europe (EREA), ARTEM follows a holistic approach for noise reduction of future aircrafts and provides enablers for quiet air traffic of the future which is an important part of EREAs Future Sky initiative.

Partners

The project is coordinated by DLR with the partnership of:

 

 

Project Stats

Duration: 1 December 2017 - 30 November 2021

Budget: € 7 923 742,50

This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under Grant Agreement no. 769350

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