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A new paradigm to re-engineering printed composites

Total Cost €


EC-Contrib. €






 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.

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

Project "PRE-ECO" data sheet

The following table provides information about the project.


Organization address
city: TORINO
postcode: 10129

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


Take a look of project's partnership.

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


 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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