Founding offer · lifetime membership for a single £24, exclusive to our first members · closes 20 June Claim your place →
Global Research Partnerships £24 Lifetime Log inCreate free account

Funded Projects › HORIZON

Sci-Fi-Turbo · Scale-resolving Simulations ​for Innovations in Turbomachinery Design

HORIZONStatus: SIGNED1 January 202430 June 2027EU funding €3,436,754Call HORIZON-CL5-2023-D5-01

Sci-Fi-Turbo aims to revolutionise the aero engine design process by advancing and integrating high-order scale-resolving simulations (SRS) and optimization methodologies into standard industrial workflows. SRS are a key enabler for developing ultra-efficient propulsion systems that drastically reduce GHG emissions by 2035 and achieve the EU's target to be climate-neutral by 2050. The advancements will boost design process capabilities and reduce product development cycles. Future engine concepts require opening up the design space and solving complex design problems out of reach for today's standard industrial design processes within the required timeframe. To achieve the necessary step change in engine design, a similar step change is needed for the design approach. Sci-Fi-Turbo fills this urgent need by exploiting opportunities in three foundation technologies: High-performance computing, high-order numerical methods, and AI/ML. The combination is used to implement and demonstrate two key advancements. First, a highly integrated high-order SRS design process is established for modern CPU/GPU hardware, meeting robustness, accuracy, and turnaround time requirements. It will provide increased functionality and effectivity at an industrial level and pave the way for the uptake of SRS-based design by the industry. The high accuracy of the methodology will also reduce the need for low-TRL testing and enable new concepts and extended operating conditions. Second, an SRS-assisted multi-fidelity, data-driven optimisation framework is developed, which embeds and exploits the advantages of highly accurate high-order SRS while leveraging AI/ML methods to increase the predictive capability of lower-fidelity simulations and maximize overall process accuracy and speed. Dedicated experiments support the technology advancement and will enable the design of net-zero-emission engines in due time and contribute to the digital transformation of the aviation industry.

Consortium · 11 organisations

coordinator

DEUTSCHES ZENTRUM FUR LUFT - UND RAUMFAHRT EV

DE · €1,032,120

associatedPartner

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE

UK

participant

ANSYS GERMANY GMBH

DE · €148,121

participant

TECHNISCHE UNIVERSITAET BRAUNSCHWEIG

DE · €304,438

participant

CENTRE DE RECHERCHE EN AERONAUTIQUE ASBL - CENAERO

BE · €578,000

associatedPartner

UNIVERSITY OF MELBOURNE

AU

associatedPartner

ANSYS UK LIMITED

UK

participant

CINECA CONSORZIO INTERUNIVERSITARIO

IT · €218,750

participant

GENERAL ELECTRIC DEUTSCHLAND HOLDING GMBH

DE · €303,340

participant

SORBONNE UNIVERSITE

FR · €553,750

participant

CHALMERS TEKNISKA HOGSKOLA AB

SE · €298,235

Research fields

View the official record on CORDIS →

← Find collaborators and more funded projects

Source: CORDIS, Publications Office of the European Union. Global Research Partnerships surfaces open EU research data to help you find collaborators; we are not affiliated with the European Union.