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MULTI SCALE MODELLING FOR TURBOMACHINERY FLOWS USING HIGH FIDELITY COMPUTATIONAL...

MULTI SCALE MODELLING FOR TURBOMACHINERY FLOWS USING HIGH FIDELITY COMPUTATIONAL DATA The flow dynamics within turbomachinery flows are complex and still not fully understood. Such flows are rich in turbulent phenomena driven by high levels of unsteadiness. Despite much progress we are still unable to reliably pred... ver más

31/03/2025

UNIGE

257K€

Presupuesto del proyecto: 257K€

Líder del proyecto

UNIVERSITA DEGLI STUDI DI GENOVA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-04-09

MSCA-IF-2020: Individual Fellowships

I+D

Cerrada hace 4 años

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No hay información privada compartida para este proyecto. Habla con el coordinador.

4 Participantes

UNIGE

257.21K€ | Lider

SAMTACK

219.80K€ | Participante

UNIVERSITY OF MELBOURNE

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Duración del proyecto: 47 meses Fecha Inicio: 2021-04-09
Fecha Fin: 2025-03-31

Líder del proyecto

UNIVERSITA DEGLI STUDI DI GENOVA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 257K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The flow dynamics within turbomachinery flows are complex and still not fully understood. Such flows are rich in turbulent phenomena driven by high levels of unsteadiness. Despite much progress we are still unable to reliably predict many of these phenomena (e.g. wake interactions, transition, separations) using standard modelling techniques which hinders further aero-engine efficiency improvements. To investigate these phenomena, researchers are employing high-fidelity techniques both in experiments and in computations, e.g. direct numerical simulations. These techniques give unprecedented resolution and a wealth of data but extracting knowledge and distilling it into reduced-order models applicable to a wide range of flows is challenging, thus limiting their impact. The objective of this project is to address this limitation by adapting a theoretical framework of data-driven flow decomposition to turbomachinery flows. This methodology will be used to study inter-scale energy transfers between the different flow dynamics within the multi-stage compressor. The project aims to discern between scales contributing towards the turbulence production, dissipation and those regulating the flow of energy down the turbulence cascade. The analysis will be facilitated by combining multiple high-fidelity datasets from computations at engine representative conditions. The primary goal of the project is to establish a new paradigm for industrial flow modelling that utilises all the information embedded within the 3D unsteady flowfield. Consequently, a new set of low-order models will be derived, each catering to a different range of scales present in the compressor flowfield. The project will leverage the expertise of three world-leading groups in high-performance computing data decomposition and turbomachinery modelling. Results of this project are expected to provide much needed insight into multi-scale interactions in complex industrial flows such as those of aero-engines.

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