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HIFI-TURB SIGNED

HIGH-FIDELITY LES/DNS DATA FOR INNOVATIVE TURBULENCE MODELS

Total Cost €

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EC-Contrib. €

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Partnership

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 HIFI-TURB project word cloud

Explore the words cloud of the HIFI-TURB project. It provides you a very rough idea of what is the project "HIFI-TURB" about.

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Project "HIFI-TURB" data sheet

The following table provides information about the project.

Coordinator
NUMERICAL MECHANICS APPLICATIONS INTERNATIONAL SA 

Organization address
address: CHAUSSEE DE LA HULPE 187-189
city: BRUXELLES
postcode: 1170
website: www.numeca.com

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Total cost 3˙853˙460 €
 EC max contribution 3˙853˙460 € (100%)
 Programme 1. H2020-EU.3.4. (SOCIETAL CHALLENGES - Smart, Green And Integrated Transport)
 Code Call H2020-MG-2018-TwoStages
 Funding Scheme RIA
 Starting year 2019
 Duration (year-month-day) from 2019-07-01   to  2022-06-30

 Partnership

Take a look of project's partnership.

Map

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 Project objective

The most significant challenge in applied fluid dynamics (covering aerospace, energy and propulsion, automotive, maritime industries, chemical process industries) is posed by a lack of understanding of turbulence-dependent features and laminar-to-turbulent transition. As a consequence, the design and analysis of industrial equipment cannot be relied upon to be accurate in challenging flow conditions. Improving the capabilities of models for complex fluid flows, offers the potential of reducing energy consumption of aircraft, cars, and ships, with consequent reduction in emissions and noise of combustion-based engines The inevitable result is a major impact on economical and environmental factors as well as on economy, industrial leadership in the highly competitive global position. Hence, the ability to understand, model and predict turbulence and transition phenomena is the key requirement in the design of efficient and environmentally acceptable fluids-based energy transfer systems. Against this background, the present proposal sets out a highly ambitious and innovative program of work designed to address some influential deficiencies in advanced statistical models of turbulence. The program rests on the following pillars of excellence: • The exploitation of high-fidelity LES/DNS data for a range of -reference flows that contain key flow features of major interest • The application of novel artificial intelligence and machine-learning algorithms to identify significant correlations between representative turbulent quantities • The guidance of the research towards improved models by four world-renown industrial and academic experts in turbulence. The consortium is formed by major industrial aeronautical companies and software editor, an SME acting as coordinator, well-known research centra and academic groups, including ERCOFTAC, acting as a source of turbulence expertise and as a repository for the generated data, to be made openly available.

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The information about "HIFI-TURB" are provided by the European Opendata Portal: CORDIS opendata.

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