Explore the words cloud of the LICORNE project. It provides you a very rough idea of what is the project "LICORNE" about.
The following table provides information about the project.
PSA AUTOMOBILES SA
|Coordinator Country||France [FR]|
|Total cost||2˙795˙670 €|
|EC max contribution||2˙103˙852 € (75%)|
1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2. (PRIORITY 'Industrial leadership')
|Duration (year-month-day)||from 2015-11-01 to 2018-04-30|
Take a look of project's partnership.
|1||PSA AUTOMOBILES SA||FR (POISSY)||coordinator||618˙894.00|
|2||CLEMESSY SA||FR (MULHOUSE CEDEX)||participant||895˙991.00|
|3||FUNDACION PARA LA PROMOCION DE LA INNOVACION, INVESTIGACION Y DESARROLLO TECNOLOGICO EN LA INDUSTRIA DE AUTOMOCION DE GALICIA||ES (PORRINO PONTEVEDRA)||participant||326˙110.00|
|4||CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS||FR (PARIS)||participant||163˙500.00|
|5||RINGLER GMBH||DE (WALDSTETTEN)||participant||99˙356.00|
The project aims to provide and commercialize a self-adjusting bead forming process able to control the quality of the sealing material in car manufacturing industry. LICORNE (LIssage de COrdons Robotisé Novateur Expert) is an innovative automatic vacuum forming solution able to control and adjust itself in front of the variability. The robotized forming operations are repeatable and 100% certified. They will use a standard sealing material and be used on forming operations on all parts of the car. Key assets of this innovation will be: certifying autonomously every vehicle providing to each car a level of quality guaranty never known before, analyzing in real time the slow derivations, providing recommendations for a better installation management, allowing to anticipate non conformities and avoiding defects revision thanks to the communication of data between the positioning, forming and control steps that are integrated in a Big Data system. All manual operations causing MSD occupational diseases are avoided with the LICORNE solution. The paint shop is responsible for the sealing process guaranteeing car waterproofness. To do so, most of the operations imply the positioning of a PVC material sealing compound on all car junctions. The solution will be installed as an industrial pilot at PSA plant to upgrade it to an industrial Plant of the Future and duplicated after 24 months of validation to 3 plants in Europe. The LICORNE consortium will promote the demonstration of the vacuum forming process to other car manufacturers in the European market. A detailed specification of the automatic vision & control system will be published. This will enable car manufacturers to test prototypes of the robot. Further development of commercial prototypes and reproduction of the robots are addressed in the exploitation plan. Results will be disseminated to the car industry through industry fairs and workshops, and car manufacturing associations such as ACEA.
|Communication architecture||Documents, reports||2019-09-13 12:52:38|
|Setting-up specifications for the control cell||Documents, reports||2019-09-13 12:52:38|
|Benchmarking report||Documents, reports||2019-09-13 12:52:38|
|Technical & Scientific Publications||Documents, reports||2019-09-13 12:52:38|
|Fair, event presentation||Documents, reports||2019-09-13 12:52:38|
|LICORNE Website||Websites, patent fillings, videos etc.||2019-09-13 12:52:38|
|Operative workstation||Demonstrators, pilots, prototypes||2019-09-13 12:52:38|
|Big Data Algorithms||Documents, reports||2019-09-13 12:52:38|
|Communication Protocols||Documents, reports||2019-09-13 12:52:38|
|Setting-up plans for vacuum forming||Documents, reports||2019-09-13 12:52:38|
Take a look to the deliverables list in detail: detailed list of LICORNE deliverables.
|year||authors and title||journal||last update|
UtilizaciÃ³n de tecnologÃas Big Data en los procesos de pintura del automÃ³vil (Usage of Big Data technologies in automotive paintshop processes)
published pages: , ISSN: , DOI:
|JAI 2018 - VII Jornadas sobre TecnologÃas y soluciones para la AutomatizaciÃ³n Industrial (7th Conference on Industrial Automation Solutions and Technologies)||2019-09-13|
MarÃa LÃ³pez-RamÃrez, Sonia Quiroga-FernÃ¡ndez, Angel Dacal-Nieto, Xian Boullosa, Victor Alonso-Ramos
PredicciÃ³n de la calidad de un proceso industrial en tiempo real (Real time quality prediction of an industrial process)
published pages: , ISSN: , DOI:
|WGML 2017 - II Workshop Galicia Machine Learning||2019-09-13|
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The information about "LICORNE" are provided by the European Opendata Portal: CORDIS opendata.
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