LEARNFORM
Self-Learning Sheet Metal Forming System
| Coordinatore | FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V
Organization address
address: Hansastrasse 27C contact info |
| Nazionalità Coordinatore | Germany [DE] |
| Sito del progetto | http://www.learnform.eu |
| Totale costo | 4˙766˙379 € |
| EC contributo | 3˙410˙000 € |
| Programma | FP7-NMP
Specific Programme "Cooperation": Nanosciences, Nanotechnologies, Materials and new Production Technologies |
| Code Call | FP7-NMP-2008-SMALL-2 |
| Funding Scheme | CP-FP |
| Anno di inizio | 2009 |
| Periodo (anno-mese-giorno) | 2009-04-01 - 2012-03-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V
Organization address
address: Hansastrasse 27C contact info |
DE (MUENCHEN) | coordinator | 748˙902.00 |
| 2 |
CEDRAT TECHNOLOGIES SA
Organization address
address: CHEMIN DU VIEUX CHENE 59 contact info |
FR (MEYLAN) | participant | 561˙300.00 |
| 3 |
ERAS GESELLSCHAFT FUER ENTWICKLUNG UND REALISATION ADAPTIVER SYSTEME MBH
Organization address
address: Hannah-Vogt-Strasse 1 contact info |
DE (GOETTINGEN) | participant | 553˙650.00 |
| 4 |
FUNDACION TECNALIA RESEARCH & INNOVATION
Organization address
address: PARQUE TECNOLOGICO DE MIRAMON PASEO MIKELETEGI 2 contact info |
ES (DONOSTIA-SAN SEBASTIAN) | participant | 430˙525.00 |
| 5 |
CESKE VYSOKE UCENI TECHNICKE V PRAZE
Organization address
address: ZIKOVA 4 contact info |
CZ (PRAHA) | participant | 316˙894.00 |
| 6 |
FUNDACION CIE I+D+i
Organization address
city: Bilbao contact info |
ES (Bilbao) | participant | 289˙868.00 |
| 7 |
"Gorenje Orodjarna, d.o.o., Velenje, Partizanska 12"
Organization address
address: Partizanska cesta 12 contact info |
SI (Velenje) | participant | 279˙732.00 |
| 8 |
SIEMENS AKTIENGESELLSCHAFT
Organization address
address: Wittelsbacherplatz 2 contact info |
DE (MUNCHEN) | participant | 229˙129.00 |
Mappa
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Obiettivo del progetto (Objective)
'The automotive and white goods market tends towards individual customer solutions with product variants in small batch production, for which the forming system needs special setups, parameter change in self-learning control systems and high skilled operators. The self-learning sheet metal forming system LearnForm aims at an innovative knowledge-based drawing process with integrated multi sensors and actuators for adapting the control system strategy to changed material properties and product variants. The concept of the project LearnForm bases on the following main ideas: 1) a self-learning sheet metal forming system based on work piece energy and thermal quality control, 2) intelligent drawing dies including multi-sensors, 3) multi die cushion axes with adaptronic force oscillation actuators and 4) an open architecture motion control system extended by self-learning control strategies. Three tasks of self-learning control are the sliding friction, forming and clamping tasks supervised by the energy level with thermo camera quality check. Demonstrators are intelligent drawing dies for automotive and white goods and self-learning process control software with multi criteria optimizing strategies. The industrial leadership is performed by 5 companies (3OEM, 2SME) with their market leader knowledge and product programme. RTD partners co-operate with outstanding applied and basic interdisciplinary research experience. The work packages include simulation, measuring, programming, training and testing tasks. The project consortium has estimated the high RTD risk and total project costs to 4.77M€. The total project exploitation from 8 partners is estimated to 25M€ in the third year. The impact from the LearnForm results in the European market of knowledge-based sheet forming presses and dies, industrial process control is characterized by an annual increased turnover of 57.4M€ and by annual reduced manufacturing costs in automotive and white goods of 49.9M€.'
Introduzione (Teaser)
Scientists have developed a new way to form the sheet metal components used in the automotive and appliance industries. The new method employs sophisticated sensors and advanced self-learning algorithms that offer manufacturers unrivalled advantages.
Descrizione progetto (Article)
When it comes to forming different sheet metal parts, highly automated press systems, or dies, are needed to satisfy increasing demands on quality and productivity. Current methods rely on trial-and-error and require a skilled operator to adjust the die for the different metal components.
The EU-funded 'Self-learning sheet metal forming system' (LEARNFORM) project have addressed this gap in the market. The researchers developed an adaptive die that can quickly learn how to form a new shape without wrinkles and cracks and moreover, with no human intervention.
Strategically-placed temperature sensors are able to detect hot spots, or stressed areas, on the metal shape. The rest of the machine uses this information to adjust the forming, clamping and friction systems to reduce the stress on the metal and avoid imperfections.
The main advantage of the LEARNFORM product is that it results in a shorter set-up time when switching between different metal parts. Manufacturers will also save on material and energy inputs, and no expertise is required to operate the press.
Although it is still only in a prototype phase, researchers expect the product to eventually attract worldwide interest from the automotive, aerospace and appliance industries.