Opendata, web and dolomites

FIONA SIGNED

FIbre OrientatioN Analysis of fibre-reinforced components

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 FIONA project word cloud

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

involve    probes    fact    fibres    validation    experimental    time    microct    cheaper    successful    intensive    business    opposition    characterization    2021    jobs    aligned    loading    workflows    destructive    sme    optimized    components    individual    worth    lacking    moulding    bearing    inaccessible    mechanically    endorsement    stems    encoding    disruptive    final    direction    small    frp    data    fibrescanner3d    resolve    local    directions    labour    specification    2d    subsequently    billion    15    manual    entire    carbon    opportunity    mechanical    market    initial    cleaner    commercialization    castings    reduce    strength    proper    materials    imaging    primarily    previously    first    soundly    optimization    limited    revenue    structural    least    fibre    glass    direct    parts    regions    3d    alternative    reinforced    135bn    industrial    metal    orientation    desired    opening    infer    injection    xnovo    depends    load    iterations    emerged    optimize    tested    plastics    tools    stream   

Project "FIONA" data sheet

The following table provides information about the project.

Coordinator
Xnovo Technology ApS 

Organization address
address: THEILGAARDS ALLE 9 1
city: KOGE
postcode: 4600
website: n.a.

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 Denmark [DK]
 Project website https://xnovotech.com/
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2019-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    Xnovo Technology ApS DK (KOGE) coordinator 50˙000.00

Map

 Project objective

Fibre reinforced materials components (e.g. glass/carbon-fibre-reinforced plastics) have recently emerged as a mechanically viable, cheaper and cleaner alternative to load-bearing metal parts – becoming a multi-billion market expected to be worth over $135bn by 2021. Their mechanical strength depends on the local fibre orientation, which needs to be aligned with the main loading directions. Fibre-reinforced part design workflows typically involve many iterations with test castings and associated labour-intensive manual 2D experimental validation of fibre distribution/orientation to optimize the injection moulding parameters to reach the desired design specification. Thus, proper 3D tools for fibre orientation characterization are lacking and would greatly reduce the time required to go subsequently from initial design to final tested FRP components.

Current characterization methods are limited to destructive testing of fibre-reinforced parts, from which fibre orientation and distribution can only be observed in very small regions. This primarily stems from the fact that existing methods (e.g. microCT) need to resolve individual fibres to then infer structural information. In opposition, Xnovo’s disruptive imaging technology - FibreScanner3D - directly probes previously inaccessible structural data, encoding fibre direction and distribution over entire parts. This will greatly facilitate design optimization workflows and is expected to reduce by a factor of 2 the number of design iterations and the time required to go from initial design to the final fully optimized component.

The potential of our disruptive imaging technology is soundly supported by the strong industrial endorsement and thus the successful implementation of the present project will represent a significant business opportunity for Xnovo, opening a significant revenue stream for our SME and creating at least 15 new direct jobs in the first 5 years of commercialization.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "FIONA" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "FIONA" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

DeltaQon (2019)

IOT and cloud computing for online medical analysis service platform

Read More  

Skye (2018)

Redefining Drone Safety and Autonomous Operation for Indoor Commercial Applications

Read More  

HUD (2018)

COMMERCIALIZING THE FIRST HEAD-UP-DISPLAY FOR OFF-HIGHWAY VEHICLES

Read More