Project description
Developing novel solutions for multi-phase fluid dynamics simulations
Transitioning to greener energy solutions and improving energy production and efficiency requires the introduction and development of various technologies that utilise multi-phase, trans/supercritical, and non-Newtonian fluid flows with heat and mass transfer capabilities. However, direct numerical simulations cannot provide the necessary accuracy required for their development. The MSCA-funded SCALE project aims to develop novel simulation solutions and models that use machine learning, which are data-driven and physics-informed. The project will utilise specialised databases and LES and RANS simulations to assess and train the solutions. Furthermore, it will collaborate with industry experts to provide training and optimise the development and validation of these solutions.
Objective
Multi-phase, trans/supercritical and non-Newtonian fluid flows with heat and mass transfer are critical in enhancing the performance of energy production, propulsion and biomedical systems. Examples include: hydraulic turbomachines, ship propellers, CO2-neutral e-fuels and e-motor cooling systems, particle-laden flows in inhalers and focused ultrasounds for drug delivery. What all these cases have in common is the high level of complexity which makes Direct Numerical Simulations impossible. State-of-the-art LES simulations rely on simplified assumptions but do not have yet the desired accuracy, while often require enormously expensive CPU resources. The aim of SCALE is to develop simulation methods and reduced-order models using physics-informed and data-driven Machine Learning and optimisation methods for such flow processes. These will be trained against ‘ground-truth’ databases that will be generated for the first time using both DNS and experimentally validated, industry-relevant LES and multi-fidelity RANS simulations. The new simulation tools will be applied for the first time to industrial problems and their ability to accelerate design times and improve accuracy will be jointly pursued and evaluated with the non-academic partners of SCALE. These are international corporations and market leaders in the aforementioned areas. Holistic training by experts from science and industry includes broad reviews on relevant scientific topics, modern high performance computing architectures suitable for performing such simulations, big data analytics as well as extensive support for mastering scientific tasks and transferring the knowledge acquired to industrial practice. SCALE will also deliver soft skills training from a well-connected cohort of leaders with the ability to communicate across disciplines and within the general public. This coupling of research with industry makes SCALE a truly outstanding network for doctoral candidates to start their career.
Fields of science
- engineering and technologymechanical engineeringthermodynamic engineering
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencesphysical sciencesclassical mechanicsfluid mechanicsfluid dynamics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwaresupercomputers
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinator
39106 Magdeburg
Germany
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Participants (5)
8020 Graz
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80333 Muenchen
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2628 CN Delft
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100 44 Stockholm
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157 80 ATHINA
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Partners (11)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1120 Wien
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DT1 1DE Dorchester
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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185 31 PIRAEUS
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
DE56 4AN Derby
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1170 Bruxelles / Brussel
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6708 PM Wageningen
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GU21 4YH Woking
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151 85 Sodertaelje
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8017 JR Zwolle
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AL10 9AB Hatfield
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
EC1V 0HB London
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