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BLINDFAST

BLINDFAST: INNOVATIVE BLIND FASTENER MONITORING TECHNOLOGY FOR QUALITY CONTROL

Total Cost €

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EC-Contrib. €

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Partnership

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Project "BLINDFAST" data sheet

The following table provides information about the project.

Coordinator
FUNDACION TECNALIA RESEARCH & INNOVATION 

Organization address
address: PARQUE CIENTIFICO Y TECNOLOGICO DE BIZKAIA, ASTONDO BIDEA, EDIFICIO 700
city: DERIO BIZKAIA
postcode: 48160
website: www.tecnalia.com

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 Spain [ES]
 Total cost 433˙000 €
 EC max contribution 433˙000 € (100%)
 Programme 1. H2020-EU.3.4.5.1. (IADP Large Passenger Aircraft)
 Code Call H2020-CS2-CFP01-2014-01
 Funding Scheme CS2-IA
 Starting year 2016
 Duration (year-month-day) from 2016-02-01   to  2019-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FUNDACION TECNALIA RESEARCH & INNOVATION ES (DERIO BIZKAIA) coordinator 433˙000.00

Map

 Project objective

BLINDFAST project aims at developing a new and robust method for on-line monitoring the installation of blind fasteners that will allow performing a quality control of the blind fastener formed head. The monitoring process will allow the fast and accurate classification of blind rivets and detecting defects that cannot be detected from the accessing face. Nowadays, due to the uncertainty about the quality of the rivet, the Design Office need to increase the design loads. Thus, blind fasteners joints are penalized in rivet number, rivet weight, and manufacturing time, increasing both assembling direct and indirect costs, and also aircraft operational costs due to heavier components. New monitoring method will prevent from using these extra fasteners that nowadays have to be installed to compensate the incorrectly installed fasteners. The new concept will be based on a multi-signal approach that will analyse fastening data acquired during the insertion of the fastener and will extract from them relevant data related to fastener quality. A smart test-bench for blind fastener installation will be prepared to allow multi-signal and multi-sensor approach. During sample preparation defects will be forced in other to have appropriate input data. Later the application of advanced data mining and artificial intelligent techniques to the acquired signals will be conducted to look for patterns related to rivet quality. If multi-signal approach for fastening monitoring does not lead to satisfactory results, other non-destructive techniques as frequency response analysis will be also considered. The topic addressed is JTI-CS2-2014-CFP01-LPA-02-01 which relates to Platform 2 “Innovative Physical Integration Cabin-System-Structure”. BLINDFAST contributes to the development of intelligent automation and zero defects manufacturing lines by allowing the early detection of defects, the reduction of extra fasteners and by providing security about quality of the installed fasteners.

 Deliverables

List of deliverables.
Dissemination and Exploitation Documents, reports 2019-09-09 14:49:43

Take a look to the deliverables list in detail:  detailed list of BLINDFAST deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Javier Camacho, Fernando Veiga, Mari Luz Penalva, Alberto Diez-Olivan, Lutz Deitert, Norberto López de Lacalle
On-Line Monitoring of Blind Fastener Installation Process
published pages: 1157, ISSN: 1996-1944, DOI: 10.3390/ma12071157
Materials 12/7 2019-09-09

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

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