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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.

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

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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lastchecktime (2021-03-05 22:07:23) correctly updated