Explore the words cloud of the STREAM-0D project. It provides you a very rough idea of what is the project "STREAM-0D" about.
The following table provides information about the project.
INSTITUTO TECNOLOGICO DE ARAGON
|Coordinator Country||Spain [ES]|
|Total cost||5˙063˙828 €|
|EC max contribution||4˙159˙145 € (82%)|
1. H2020-EU.18.104.22.168. (Technologies for Factories of the Future)
|Duration (year-month-day)||from 2016-10-01 to 2020-03-31|
Take a look of project's partnership.
|1||INSTITUTO TECNOLOGICO DE ARAGON||ES (ZARAGOZA)||coordinator||962˙769.00|
|2||PANEPISTIMIO PATRON||EL (RIO PATRAS)||participant||581˙875.00|
|3||ECOLE CENTRALE DE NANTES||FR (NANTES CEDEX 3)||participant||503˙571.00|
|4||STAM SRL||IT (GENOVA GE)||participant||458˙500.00|
|5||INTEGRATED ENVIRONMENTAL SOLUTIONS LIMITED||UK (GLASGOW)||participant||373˙100.00|
|6||CENTER FOR TECHNOLOGY RESEARCH ANDINNOVATION (CETRI) LTD||CY (Nicosia)||participant||342˙125.00|
|7||LUCAS VARITY GMBH||DE (KOBLENZ)||participant||309˙531.00|
|8||STANDARD PROFIL SPAIN SA||ES (LOGRONO)||participant||236˙110.00|
|9||FERSA BEARINGS, SA||ES (ZARAGOZA)||participant||212˙187.00|
|10||DAY ONE SRL||IT (ROME)||participant||179˙375.00|
|11||STAMTECH SRL||IT (GENOVA)||participant||0.00|
Facts: i) Zero-defect manufacturing and flexibility of production processes are some of the main challenges for European manufacturing; ii) One of the engineering tools with higher potential is the linking of simulation tools with measurement devices for real-time control of applications. The huge potential of this synergistic loop remains untapped for manufacturing processes and could be used for reducing product variability, increase line flexibility and achieve zero defect production. These objectives could be reached by integrating in the production line multi-physics simulation models, able to predict the product quality indicators in response to the values of critical input parameters (components dimensions, material properties, etc), which are unavoidably subject to variability: different batches, different suppliers,... The models will be fed with actual data from online measurements and, based on the model prediction, the critical steps of the line will be controlled to adjust the product to the exact design specifications or to quickly change specifications for producing customised batches. However, doing this in real time is not possible due to the computational cost of models. Reduced Order Modelling is a new generation of techniques which allow us to obtain parametric solutions of complex models that can be particularized in real time for any value of the parameters. The models run so fast that they can be executed on tablets or smart phones. ROM will be used to transform complex models into the real-time capable models that can be integrated in the production line. Moreover, the online deployment of ROMs and data gathering systems will generate big data which will be exploited through data analysis techniques for further improving the process. The project will show proof-of-concept demonstrations in three real process chains of the automotive sector, covering different types of production methods, products, materials and manufacturing processes.
|Public dissemination materials||Websites, patent fillings, videos etc.||2020-03-23 11:28:03|
|Marketing & Dissemination plan||Documents, reports||2020-03-23 11:28:03|
|Project Webpage||Websites, patent fillings, videos etc.||2020-03-23 11:28:03|
Take a look to the deliverables list in detail: detailed list of STREAM-0D deliverables.
|year||authors and title||journal||last update|
Domenico Borzacchiello, JosÃ© V. Aguado, Francisco Chinesta
Non-intrusive Sparse Subspace Learning for Parametrized Problems
published pages: 303-326, ISSN: 1134-3060, DOI: 10.1007/s11831-017-9241-4
|Archives of Computational Methods in Engineering 26/2||2020-03-23|
Alexios Papacharalampopoulos, Demetris Petrides, Panagiotis Stavropoulos
A defect tracking tool framework for multi-process products
published pages: 523-527, ISSN: 2212-8271, DOI: 10.1016/j.procir.2019.02.100
|Procedia CIRP 79||2020-03-23|
P. Stavropoulos, H. Alexopoulos, A. Papacharalampopoulos, D. Mourtzis
Automotive weather strip manufacturing: Process modeling and extrudate dimensional accuracy evaluation
published pages: 375-380, ISSN: 2212-8271, DOI: 10.1016/j.procir.2018.03.120
|Procedia CIRP 72||2020-03-23|
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The information about "STREAM-0D" are provided by the European Opendata Portal: CORDIS opendata.