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FORECAST

ASSESSMENT AND INITIAL STEPS FOR THE EXPLOITATION OF A FAST SIMULATION SOFTWARE FOR CASTING MANUFACTURING OPERATIONS

Total Cost €

EC-Contrib. €

Partnership

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FORECAST project word cloud

Explore the words cloud of the FORECAST project. It provides you a very rough idea of what is the project "FORECAST" about.

filling mould molten flow decisions industrial air coupled flowing thermal enhanced industry forecast heat poc fast computational character software applicability initial operation metal components extremely innovation explore manufacturing fluid helping smes melt realtime tested transfer simulation move commercialization casting contained mechanical times walls accurate operations

Project "FORECAST" data sheet

The following table provides information about the project.

Coordinator	CENTRE INTERNACIONAL DE METODES NUMERICS EN ENGINYERIA Organization address address: C GRAN CAPITAN, EDIFICI C1, CAMPUS NORD UPC SN city: BARCELONA postcode: 8034 website: www.cimne.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	149˙963 €
EC max contribution	149˙963 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2014-PoC
Funding Scheme	ERC-POC
Starting year	2015
Duration (year-month-day)	from 2015-05-01 to 2016-04-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	CENTRE INTERNACIONAL DE METODES NUMERICS EN ENGINYERIA CENTRE INTERNACIONAL DE METODES NUMERICS EN ENGINYERIA Organization address address: C GRAN CAPITAN, EDIFICI C1, CAMPUS NORD UPC SN city: BARCELONA postcode: 8034 website: www.cimne.com contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (BARCELONA)	coordinator	149˙963.00

Map

Project objective

In the FORECAST PoC we will explore the industrial applicability and potential for commercialization of the new fast simulation technology developed in REALTIME for the enhanced design of mould filling processes in casting manufacturing operations of mechanical components. The computational technology tested In the FORECAST PoC will allow the casting industry, and in particular SMEs, to solve mould filling problems in times useful for taking decisions helping the design and operation of casting processes. In addition the REALTIME technology will allow users taking into account the multi-fluid character of mould filling processes, including coupled thermal-flow effects in both the air contained in the mould and the molten metal and heat transfer between the flowing melt and the mould walls. The FORECAST PoC will greatly help move the REALTIME software technology towards the initial steps of an innovation process leading to a new extremely fast and accurate mould filling simulation software for enhanced design of casting manufacturing operations of mechanical components for a wide range of applications in industry

Publications

List of publications.
year	authors and title	journal	last update
2015	P. Becker, S. R. Idelsohn, E. OÃ±ate A unified monolithic approach for multi-fluid flows and fluidâ€“structure interaction using the Particle Finite Element Method with fixed mesh published pages: 1091-1104, ISSN: 0178-7675, DOI: 10.1007/s00466-014-1107-0	Computational Mechanics 55/6	2019-07-24
2015	Florian Kempel, Bernhard Schartel, Julio M. Marti, Kathryn M. Butler, Riccardo Rossi, Sergio R. Idelsohn, Eugenio OÃ±ate, Anja Hofmann Modelling the vertical UL 94 test: competition and collaboration between melt dripping, gasification and combustion published pages: 570-584, ISSN: 0308-0501, DOI: 10.1002/fam.2257	Fire and Materials 39/6	2019-07-24
2015	Sergio Idelsohn, Eugenio OÃ±ate, Norberto Nigro, Pablo Becker, Juan Gimenez Lagrangian versus Eulerian integration errors published pages: 191-206, ISSN: 0045-7825, DOI: 10.1016/j.cma.2015.04.003	Computer Methods in Applied Mechanics and Engineering 293	2019-07-24
2016	Juan M. Gimenez, Norberto M. Nigro, Sergio R. Idelsohn, Eugenio OÃ±ate Surface tension problems solved with the particle finite element method using large time-steps published pages: , ISSN: 0045-7930, DOI: 10.1016/j.compfluid.2016.04.026	Computers & Fluids	2019-07-24

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