Sci-Fi-Turbo is revolutionising the aircraft engine design process by advancing and integrating high resolution, full-scale simulation and multi-fidelity optimisation methods into industrial workflows.
Scale-resolving simulation for innovations in turbomachinery design
Scale-resolving simulations (SRS) are a key factor in the development of ultra-efficient propulsion systems that will drastically reduce greenhouse gas emissions by 2035 and help meet the EU's goal of climate neutrality by 2050.
Future engine concepts will require a radical expansion of the design space and the solution of complex design problems that cannot be realised within the given time frame using today's standard industrial design processes. To achieve the necessary paradigm shift in engine design, a similar paradigm shift in design approach is required.
Sci-Fi-Turbo meets this need by utilising potentials in three fundamental technologies: High Performance Computing, Higher Order Numerical Methods and Artificial Intelligence (AI) / Machine Learning (ML).
The combination is used to implement and demonstrate two key developments:
First, it will establish a highly integrated SRS-based design process for modern CPU/GPU hardware that meets the robustness, accuracy and turnaround time requirements of 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.
Secondly, an SRS-assisted, multi-level, data-driven optimisation framework will be developed that takes advantage of high-accuracy, higher-order SRS while using AI/ML methods to increase the predictive capability of lower-accuracy simulations and maximise the overall accuracy and speed of the process. Dedicated experiments will support technology development, enabling the design of net-zero emissions engines and contributing to the digital transformation of the aviation industry.
