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PRE-ECO SIGNED

A new paradigm to re-engineering printed composites

Total Cost €

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EC-Contrib. €

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Partnership

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 PRE-ECO project word cloud

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

unexplored    velocity    tailor    final    structural    3d    piece    constrained    additive    fibre    chain    gap    missing    emergence    vats    models    variation    steering    effect    data    either    science    implying    curvilinear    theory    mechanisms    encompassing    propagates    learning    calculus    right    defect    automated    optimization    lamina    combination    printing    manufacturing    optimized    generally    digital    brittle    precursor    artificial    matrix    exploratory    unpredictable    class    designer    afp    practices    rules    platform    vat    fill    carbon    kinking    radii    composite    intelligence    reinforced    performed    structure    materials    conceive    lack    puzzle    act    scales    gaps    made    fibres    mechanics    trivial    stiffness    temperature    hybrid    paths    preserve    machines    glass    radical    disciplinary    defects    weight    machine    steered    simulation    composites    costly    printed    metamodeling    relaxed    local    echo    curvature    integrity    numerical    angle    tow    global    placement    overlaps    inter    material    practise    wise    sensitivity    accuracy    pressure    point    unprecedented    structures    ratios    difficult   

Project "PRE-ECO" data sheet

The following table provides information about the project.

Coordinator
POLITECNICO DI TORINO 

Organization address
address: CORSO DUCA DEGLI ABRUZZI 24
city: TORINO
postcode: 10129
website: www.polito.it

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 Italy [IT]
 Total cost 1˙477˙901 €
 EC max contribution 1˙477˙901 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-10-01   to  2025-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    POLITECNICO DI TORINO IT (TORINO) coordinator 1˙477˙901.00

Map

 Project objective

Additive manufacturing and Automated Fibre Placement (AFP) processes brought to the emergence of a new class of fibre-reinforced materials; namely, the Variable Angle Tow (VAT) composites. AFP machines allow the fibres to be relaxed along curvilinear paths within the lamina, thus implying a point-wise variation of the material properties. In theory, the designer can conceive VAT structures with unexplored capabilities and tailor materials with optimized stiffness-to-weight ratios. In practise, steering brittle fibres, generally made of glass or carbon, is not trivial. Printing must be performed at the right combination of temperature, velocity, curvature radii and pressure to preserve the integrity of fibres. The lack of information on how the effect of these parameters propagates through the scales, from fibres to the final structure, represents the missing piece in the puzzle of VAT composites, which today are either costly or difficult to design because affected by unpredictable failure mechanisms and unwanted defects (gaps, overlaps, and fibre kinking).

This proposal is for an exploratory study into a radical new approach to the problem of design, manufacturing and analysis of tow-steered printed composite materials. The program will act as a pre-echo, a precursor, to: 1) implement global/local models for the simulation and analysis of VATs with unprecedented accuracy from fibre-matrix to component scales; 2) develop a (hybrid) metamodeling platform based on machine learning for defect sensitivity and optimization; and 3) set new rules and best-practices to design for manufacturing. A 5-year, highly inter-disciplinary programme is planned, encompassing structural mechanics, numerical calculus, 3D printing and AFP, measurements and testing of advanced composites, data science and artificial intelligence, and constrained optimization problems to finally fill the gap between the design and the digital manufacturing chain of advanced printed materials.

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

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