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HIFI-TURB SIGNED

HIGH-FIDELITY LES/DNS DATA FOR INNOVATIVE TURBULENCE MODELS

Total Cost €

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EC-Contrib. €

0

Partnership

0

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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.

economy    inevitable    background    academic    energy    offers    influential    quantities    efficient    guidance    experts    hence    statistical    deficiencies    transition    understand    world    fluid    consumption    economical    acceptable    companies    ships    turbulence    industrial    reference    openly    competitive    fluids    relied    renown    global    propulsion    automotive    transfer    made    intelligence    editor    phenomena    environmental    designed    representative    lack    reducing    model    posed    requirement    emissions    laminar    sme    models    flows    excellence    chemical    software    learning    expertise    aerospace    consequence    industries    innovative    les    position    machine    consequent    formed    aeronautical    environmentally    turbulent    aircraft    centra    algorithms    noise    artificial    correlations    flow    cars    ercoftac    repository    pillars    source    acting    accurate    predict    fidelity    dns    dynamics    dependent    engines    leadership    rests    groups    data    contain    maritime    combustion   

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.

# participants  country  role  EC contrib. [€] 
1    NUMERICAL MECHANICS APPLICATIONS INTERNATIONAL SA BE (BRUXELLES) coordinator 510˙000.00
2    ERCOFTAC EUROPEAN RESEARCH COMMUNITY ON FLOW TURBULENCE AND COMBUSTION BE (BRUSSELS) participant 312˙500.00
3    DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV DE (KOELN) participant 308˙185.00
4    CENTRE DE RECHERCHE EN AERONAUTIQUE ASBL - CENAERO BE (GOSSELIES) participant 305˙625.00
5    CENTRE EUROPEEN DE RECHERCHE ET DE FORMATION AVANCEE EN CALCUL SCIENTIFIQUE FR (TOULOUSE) participant 299˙875.00
6    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) participant 296˙497.00
7    OFFICE NATIONAL D'ETUDES ET DE RECHERCHES AEROSPATIALES FR (PALAISEAU) participant 281˙206.00
8    DASSAULT AVIATION FR (PARIS) participant 276˙750.00
9    UNIVERSITE CATHOLIQUE DE LOUVAIN BE (LOUVAIN LA NEUVE) participant 258˙318.00
10    CINECA CONSORZIO INTERUNIVERSITARIO IT (CASALECCHIO DI RENO BO) participant 251˙875.00
11    UNIVERSITA' DEGLI STUDI DI BERGAMO IT (BERGAMO) participant 250˙000.00
12    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) participant 237˙812.00
13    SAFRAN SA FR (PARIS 15) participant 213˙877.00
14    ANSYS GERMANY GMBH DE (DARMSTADT) participant 50˙937.00
15    FEDERAL STATE UNITARY ENTERPRISE THE CENTRAL AEROHYDRODYNAMIC INSTITUTE NAMED AFTER PROF. N.E. ZHUKOVSKY RU (ZHUKOVSKY) participant 0.00

Map

 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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