Imagine designing a flying car that doesn't wake up the whole neighborhood. This work creates a digital 'crystal ball' that predicts how air flows around electric propellers and the plane's body to stop noise before it happens. It uses smart computer shortcuts to test thousands of designs in seconds instead of months.
Designing electric aircraft for cities is slowed down by the difficulty of predicting how noise and air-flow interact between propellers and the fuselage. Current tools are either too slow for rapid design or too imprecise for certification.
A set of multi-fidelity simulation tools and machine learning surrogate models for predicting aircraft noise and aerodynamics.
If you are an eVTOL manufacturer dealing with noise complaints and certification delays — this project developed a multi-fidelity simulation tool that reduces design cycle time and improves noise-mitigation efficiency.
If you are a design bureau dealing with the complex air-flow interactions of distributed electric propulsion — this project developed machine learning surrogate models that accelerate optimization while keeping results robust.
If you are a software provider dealing with slow, high-cost aerodynamic simulations — this project developed a method to combine low and high-fidelity data to speed up the digital transformation of aircraft design.
Based on available project data, no specific pricing or licensing costs are mentioned; the project received an EU contribution of EUR 3,520,000 for development.
The project is a low-to-mid TRL enabler, meaning it provides the fundamental tools and data needed for industrial scale, but is not yet a production-ready system.
Based on available project data, specific IP and licensing agreements are not detailed, though the consortium includes 5 industry partners and 2 SMEs.
The project analyzes noise regulations to define design targets and aims to accelerate the certification process for urban aviation.
The project runs from 2024-01-01 to 2027-12-31, indicating that final results will be available by the end of 2027.
The consortium is well-balanced for technology transfer, featuring 12 partners across 6 countries. With a 42% industry ratio (including 5 industry partners and 2 SMEs), there is a strong link between the 5 universities and the actual aircraft manufacturers who guide the design exercises, ensuring the research remains commercially relevant.
Contact the Technical University of Delft (TU Delft) in the Netherlands.
Contact us to connect with the eVTOLUTION consortium for early access to simulation tools.
