Project description
A new paradigm for industrial flow modelling
Turbines and compressors, machines that transfer energy between rotating blades and a fluid, are critical components of aircraft. Accurately modelling and predicting complex flow dynamics in turbomachinery is challenging yet a prerequisite to safe and efficient designs. Different flow characteristics may be influenced by different scales of phenomena from bulk down to single molecules. Incorporating high-precision data at all levels can hamper the development of reduced-order models applicable to a wide range of flows. With the support of the Marie Skłodowska-Curie Actions programme, the TSCALE project is developing a new set of low-order models each applicable to a different range of scales present in the compressor flow.
Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
16126 GENOVA
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.