INSPiRE | Industrialisation of Jet Noise Prediction Methods

Summary
"The project, entitled ""Industrialisation of Jet Noise Prediction Methods"" (INSPiRE), addresses fully the scope outlined in Topic JTI-CS2-2015-CFP02-ENG-03-02 ""Jet Noise Reduction Using Predictive Methods"".

Turbulence-resolving CFD coupled to efficient far-field integration methods is established as an accurate means for the prediction of isolated jet noise. The trend towards increasing fan diameters however leads to the growing importance of installation effects, such as jet-flap interaction noise.

The simulation of such effects however requires numerous developments in the underlying numerical approaches to achieve increased computational efficiency, flexibility and reduced user burden. Such improvements will be developed, implemented and validated for complex installed jet flows (including configurations with noise-reducing design features) within the INSPiRE project.

Together with comprehensive best practice guidelines, the developments will make a significant contribution to improving confidence in simulation methods and to achieving industrial exploitation of turbulence-resolving approaches. This is furthermore ensured by the implementation and validation of methods directly in the HYDRA software.

High cost-efficiency and low technical risk of the INSPiRE project is facilitated by the input of advanced methods and best practice developed within the framework of previous and ongoing projects, both European and nationally-funded.

A strong and positive impact is foreseen, both towards the challenging noise reduction goals set in the renewed ACARE SRIA, as well as towards the Horizon 2020 pillar of building industrial leadership in Europe. Clear perspectives for the exploitation of INSPiRE results, both by the European aero engine OEM sector and by the SME coordinator, are identified."
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/717228
Start date: 01-07-2016
End date: 30-09-2019
Total budget - Public funding: 398 000,00 Euro - 398 000,00 Euro
Cordis data

Original description

"The project, entitled ""Industrialisation of Jet Noise Prediction Methods"" (INSPiRE), addresses fully the scope outlined in Topic JTI-CS2-2015-CFP02-ENG-03-02 ""Jet Noise Reduction Using Predictive Methods"".

Turbulence-resolving CFD coupled to efficient far-field integration methods is established as an accurate means for the prediction of isolated jet noise. The trend towards increasing fan diameters however leads to the growing importance of installation effects, such as jet-flap interaction noise.

The simulation of such effects however requires numerous developments in the underlying numerical approaches to achieve increased computational efficiency, flexibility and reduced user burden. Such improvements will be developed, implemented and validated for complex installed jet flows (including configurations with noise-reducing design features) within the INSPiRE project.

Together with comprehensive best practice guidelines, the developments will make a significant contribution to improving confidence in simulation methods and to achieving industrial exploitation of turbulence-resolving approaches. This is furthermore ensured by the implementation and validation of methods directly in the HYDRA software.

High cost-efficiency and low technical risk of the INSPiRE project is facilitated by the input of advanced methods and best practice developed within the framework of previous and ongoing projects, both European and nationally-funded.

A strong and positive impact is foreseen, both towards the challenging noise reduction goals set in the renewed ACARE SRIA, as well as towards the Horizon 2020 pillar of building industrial leadership in Europe. Clear perspectives for the exploitation of INSPiRE results, both by the European aero engine OEM sector and by the SME coordinator, are identified."

Status

CLOSED

Call topic

JTI-CS2-2015-CFP02-ENG-03-02

Update Date

27-10-2022
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Horizon 2020
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.4. SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
H2020-EU.3.4.5. CLEANSKY2
H2020-EU.3.4.5.5. ITD Engines
H2020-CS2-CFP02-2015-01
JTI-CS2-2015-CFP02-ENG-03-02 Jet Noise Reduction Using Predictive Methods