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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.

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

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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