If you are an aircraft manufacturer exploring boundary layer ingestion or distributed electric propulsion layouts — this project produced validated experimental and numerical databases covering multiple engine-airframe configurations. These databases, publicly archived on ZENODO, let your design team benchmark simulation tools and explore integration optima without funding your own wind-tunnel campaigns. The project tested optimization-based robust design methods across a broad parameter space using 14 partners over 4.5 years.
Validated Databases and Methods to Design Quieter, Cleaner Aircraft Engine-Airframe Integrations
When you bolt an engine onto a plane, the way air flows between the engine and the wing can either help or hurt performance — and it makes a lot of noise. ENODISE ran extensive wind-tunnel experiments and computer simulations on simplified engine-airframe setups to figure out exactly where the sweet spots are for mounting engines to cut both emissions and noise. They combined machine learning with old-school aerodynamics to map out which designs work best, then tested advanced materials and shape tweaks to fix the problems they found. All their data is publicly available on ZENODO so anyone in aviation can use it to design better aircraft.
What needed solving
Aircraft manufacturers exploring next-generation configurations like boundary layer ingestion and distributed electric propulsion face a critical data gap: how engine placement and airframe shape interact to affect both fuel efficiency and noise. Getting this wrong means engines that underperform or fail noise certification — but running your own wind-tunnel campaigns across dozens of configurations is prohibitively expensive. The industry needs validated reference datasets to benchmark simulations before committing to costly full-scale prototypes.
What was built
ENODISE produced cross-validated experimental and numerical databases for three distinct engine-airframe configurations (A, B, C), each tested with and without noise mitigation strategies. All datasets — totalling 36 deliverables including 9 demo databases — are cleaned, documented, and archived on ZENODO with data mining tools for public use.
Who needs this
Who can put this to work
If you are an engine manufacturer dealing with noise and aerodynamic penalties from engine installation effects — ENODISE investigated flow and acoustic control strategies specifically targeting adverse installation effects. Their 9 demo deliverables include cross-validated experimental and numerical databases for three distinct configurations, giving your integration team reference data to tune low-cost simulation methods against high-fidelity results. The consortium included 3 industry partners and 5 research institutes across 7 countries.
If you are a simulation software company needing validation datasets for your aeroacoustic or CFD tools — ENODISE produced cleaned, documented databases posted on ZENODO with data mining tools included. Their work spans low-CPU reduced-order models to high-fidelity simulations, and the 36 deliverables provide benchmarks your customers expect. These datasets constitute a validation reference designed explicitly for use by industry, research centres, and universities.
Quick answers
How much would it cost to access ENODISE results?
The experimental and numerical databases are publicly archived on ZENODO with full documentation and data mining tools, meaning access is free. However, applying these datasets to your specific aircraft configuration would require in-house engineering effort or consultancy from consortium partners like the Von Karman Institute.
Can these methods work at industrial scale for full aircraft design?
ENODISE explicitly worked at low TRL on simplified but representative configurations. The methods — including reduced-order modelling and machine learning optimization — are designed to span a broad parameter space efficiently, but scaling to full aircraft-level integration would require further development and validation at higher TRL levels.
What is the IP situation — can we license or use the tools?
The databases are openly available on ZENODO. However, specific simulation methods, machine learning strategies, and flow control technologies developed by the 14 consortium partners may carry separate IP. Contact the coordinator at Von Karman Institute for Fluid Dynamics (Belgium) to clarify licensing terms for specific tools.
How does this help meet aviation noise regulations?
ENODISE investigated noise mitigation strategies combined with installation effects — a combination not previously explored. Their databases include configurations both with and without noise mitigation, allowing engineers to quantify the noise reduction potential of different integration designs against regulatory targets.
What was the project timeline and is the work complete?
ENODISE ran from June 2020 to November 2024 and is now closed. All 36 deliverables have been completed, and the cleaned databases are archived on ZENODO. The results are final and available for use.
Can we integrate ENODISE data into our existing design workflow?
The project specifically produced both low-CPU reduced-order models and high-fidelity simulation data to fit different workflow needs. The ZENODO datasets include documentation and data mining tools to facilitate integration. The low-cost methods were fine-tuned against high-fidelity results, so you can choose the fidelity level that matches your design stage.
Who built it
The ENODISE consortium of 14 partners across 7 countries (Belgium, Germany, France, Italy, Netherlands, Slovenia, UK) is research-heavy: 6 universities and 5 research institutes versus only 3 industry partners (21% industry ratio) and just 1 SME. This signals a fundamental research project rather than an industry-driven development effort. The coordinator, Von Karman Institute for Fluid Dynamics in Belgium, is one of Europe's premier aerodynamics research labs. For a business looking to use these results, the low industry ratio means you would likely need to invest your own engineering resources to translate the databases into product-level design decisions, but the breadth of academic expertise ensures the scientific quality of the data is high.
- VON KARMAN INSTITUTE FOR FLUID DYNAMICSCoordinator · BE
- STICHTING KONINKLIJK NEDERLANDS LUCHT - EN RUIMTEVAARTCENTRUMparticipant · NL
- RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHENparticipant · DE
- GPU PRIME LTDparticipant · UK
- UNIVERSITEIT TWENTEparticipant · NL
- OFFICE NATIONAL D'ETUDES ET DE RECHERCHES AEROSPATIALESparticipant · FR
- DEUTSCHES ZENTRUM FUR LUFT - UND RAUMFAHRT EVparticipant · DE
- UNIVERSITA DEGLI STUDI ROMA TREparticipant · IT
- SIEMENS INDUSTRY SOFTWARE NVparticipant · BE
- PIPISTREL VERTICAL SOLUTIONS DOO PODJETJE ZA NAPREDNE LETALSKE RESITVEparticipant · SI
- ECOLE CENTRALE DE LYONparticipant · FR
- UNIVERSITY OF BRISTOLparticipant · UK
- CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRSthirdparty · FR
- TECHNISCHE UNIVERSITEIT DELFTparticipant · NL
Von Karman Institute for Fluid Dynamics (VKI), Belgium — a leading European aerodynamics research centre. Search for ENODISE project contact at vki.ac.be.
Talk to the team behind this work.
Want to connect with the ENODISE team to discuss using their aeroacoustic databases or optimization methods for your aircraft design? SciTransfer can arrange an introduction and help translate the research into your engineering workflow.