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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.

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

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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