
Use of semi-empirical models to predict jet noise radiated by unsuppressed and suppressed nozzles
ONERA is involved in two R&T projects related to supersonic aircraft : a self-funded project called PINSON in which a 10-passengers supersonic concept-plane is developed with an aim of reducing consumption, sonic boom and take-off noise, and EU-Project SENECA aiming at providing
insights on i) achievable noise levels during takeoff and landing and ii) global climate impact of supersonic aircraft. In both project, the semi-empirical models developed by Stone et al. have been identified as valuable tools for predicting jet noise, which is assumed to be the main contributor
to supersonic aircraft noise at take-off. With an aim of extending the work initiated by Jaron et al. in the SENECA framework, ONERA applied Stone et al.'s models to various jet configurations to better understand their domain of validity. Ultimately, the objective is to use those models during
engine pre-sizing phase of PINSON project in which a low-noise nozzle equiped with chevrons will be optimized from a multidisciplinary point of view. The objectives of the paper are i) to present the results obtained by applying those models on the EXEJET configurations and ii) to discuss
the ability of the latest version of the model to predict chevrons acoustic impact.
The requested document is freely available to subscribers. Users without a subscription can purchase this article.
- Sign in below if you have already registered for online access
Sign in
Document Type: Research Article
Affiliations: ONERA
Publication date: 04 October 2024
The Noise-Con conference proceedings are sponsored by INCE/USA and the Inter-Noise proceedings by I-INCE. NOVEM (Noise and Vibration Emerging Methods) conference proceedings are included. All NoiseCon Proceedings one year or older are free to download. InterNoise proceedings from outside the USA older than 10 years are free to download. Others are free to INCE/USA members and member societies of I-INCE.
- Membership Information
- INCE Subject Classification
- Ingenta Connect is not responsible for the content or availability of external websites
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content