RLW Navigator
Remote Laser Welding System Navigator for Eco & Resilient Automotive Factories
| Coordinatore | THE UNIVERSITY OF WARWICK
Organization address
address: Kirby Corner Road - University House contact info |
| Nazionalità Coordinatore | United Kingdom [UK] |
| Totale costo | 6˙681˙179 € |
| EC contributo | 3˙979˙984 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-2011-NMP-ICT-FoF |
| Funding Scheme | CP |
| Anno di inizio | 2012 |
| Periodo (anno-mese-giorno) | 2012-01-01 - 2014-12-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
THE UNIVERSITY OF WARWICK
Organization address
address: Kirby Corner Road - University House contact info |
UK (COVENTRY) | coordinator | 0.00 |
| 2 |
COMAU SPA
Organization address
address: VIA RIVALTA 30 contact info |
IT (GRUGLIASCO) | participant | 0.00 |
| 3 |
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Organization address
address: BATIMENT CE 3316 STATION 1 contact info |
CH (LAUSANNE) | participant | 0.00 |
| 4 |
ENGINSOFT SPA
Organization address
address: VIA DELLA STAZIONE 27 contact info |
IT (TRENTO) | participant | 0.00 |
| 5 |
JAGUAR LAND ROVER LIMITED
Organization address
address: ABBEY ROAD contact info |
UK (COVENTRY) | participant | 0.00 |
| 6 |
LAND ROVER
Organization address
address: BANBURY ROAD GAYDON contact info |
UK (WARWICK) | participant | 0.00 |
| 7 |
MAGYAR TUDOMANYOS AKADEMIA SZAMITASTECHNIKAI ES AUTOMATIZALASI KUTATOINTEZET
Organization address
address: KENDE UTCA 13-17 contact info |
HU (BUDAPEST) | participant | 0.00 |
| 8 |
POLITECNICO DI MILANO
Organization address
address: PIAZZA LEONARDO DA VINCI 32 contact info |
IT (MILANO) | participant | 0.00 |
| 9 |
PRECITEC GMBH & CO KG
Organization address
address: Draisstrasse 1 contact info |
DE (GAGGENAU) | participant | 0.00 |
| 10 |
STADCO LIMITED
Organization address
address: Harlescott Lane contact info |
UK (SHREWSBURY) | participant | 0.00 |
| 11 |
ULSAN NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY
Organization address
address: BANYEON RI 100 EONYANG EUP contact info |
KR (ULSAN) | participant | 0.00 |
| 12 |
UNIVERSITA DEGLI STUDI DEL MOLISE
Organization address
address: Via De Sanctis Ioc. Vazzieri contact info |
IT (CAMPOBASSO) | participant | 0.00 |
| 13 |
UNIVERSITY OF PATRAS
Organization address
address: UNIVERSITY CAMPUS RIO PATRAS contact info |
EL (RIO PATRAS) | participant | 0.00 |
Mappa
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Obiettivo del progetto (Objective)
RLW Navigator aims to develop an innovative Process Navigator to configure, integrate, test and validate applications of Remote Laser Welding (RLW) in automotive assembly addressing today's critical needs for frequently changing operating conditions and product-mix provisions. Thus, RLW Navigator will crucially serve as an enabler for future energy efficient smart factories. RLW is emerging as a promising joining technology for sheet metal assembly due to benefits on several fronts including reduced processing time, (50-75%) and decreased factory floor footprint (50%), reduced environmental impact through energy use reduction (60%), and providing a flexible process base for future model introduction or product change. Currently, RLW systems are limited in their applicability due to an acute lack of systematic ICT-based simulation methodologies to navigate their efficient application in automotive manufacturing processes. The project aims to address this by developing a Process Navigator simulation system that will deal with three key challenges thereby allowing manufacturers to utilize the advantages of the RLW system.nFirstly, the most critical obstacle that currently prevents the successful implementation of RLW is the need for tight dimensional control of part-to-part gap during joining operations, essential to ensure the quality of the stitch.nSecondly, the existing assembly system architecture must be reconfigured to provide the opportunity to evaluate the RLW system in terms of its feasibility to perform all required assembly tasks. This will provide crucial information about the most advantageous workstation/cell reconfiguration, which will serve as the basis for optimal robot path planning to reduce joining process time and workstation level efficiency assessment.nFinally the project will develop systematic evaluation and learning methods to assess and improve the overall performance, cost-effectiveness and eco-efficiency of the RLW system.