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dc.contributor.author
Gimenez, Juan Marcelo  
dc.contributor.author
Ramajo, Damian Enrique  
dc.contributor.author
Marquez Damian, Santiago  
dc.contributor.author
Nigro, Norberto Marcelo  
dc.contributor.author
Idelsohn, Sergio Rodolfo  
dc.date.available
2018-03-07T22:05:03Z  
dc.date.issued
2017-07  
dc.identifier.citation
Gimenez, Juan Marcelo; Ramajo, Damian Enrique; Marquez Damian, Santiago; Nigro, Norberto Marcelo; Idelsohn, Sergio Rodolfo; An assessment of the potential of PFEM-2 for solving long real-time industrial applications; Springer International Publishing; Computational Particle Mechanics; 4; 3; 7-2017; 251-267  
dc.identifier.issn
2196-4378  
dc.identifier.uri
http://hdl.handle.net/11336/38254  
dc.description.abstract
The latest generation of the particle finite element method (PFEM-2) is a numerical method based on the Lagrangian formulation of the equations, which presents advantages in terms of robustness and efficiency over classical Eulerian methodologies when certain kind of flows are simulated, especially those where convection plays an important role. These situations are often encountered in real engineering problems, where very complex geometries and operating conditions require very large and long computations. The advantages that the parallelism introduced in the computational fluid dynamics making affordable computations with very fine spatial discretizations are well known. However, it is not possible to have the time parallelized, despite the effort that is being dedicated to use space–time formulations. In this sense, PFEM-2 adds a valuable feature in that its strong stability with little loss of accuracy provides an interesting way of satisfying the real-life computation needs. After having already demonstrated in previous publications its ability to achieve academic-based solutions with a good compromise between accuracy and efficiency, in this work, the method is revisited and employed to solve several nonacademic problems of technological interest, which fall into that category. Simulations concerning oil–water separation, waste-water treatment, metallurgical foundries, and safety assessment are presented. These cases are selected due to their particular requirements of long simulation times and or intensive interface treatment. Thus, large time-steps may be employed with PFEM-2 without compromising the accuracy and robustness of the simulation, as occurs with Eulerian alternatives, showing the potentiality of the methodology for solving not only academic tests but also real engineering problems.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer International Publishing  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Large Time-Steps  
dc.subject
Multiphase Flows  
dc.subject
Particle Methods  
dc.subject
Pfem-2  
dc.subject.classification
Ingeniería Mecánica  
dc.subject.classification
Ingeniería Mecánica  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
An assessment of the potential of PFEM-2 for solving long real-time industrial applications  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-03-07T15:54:45Z  
dc.identifier.eissn
2196-4386  
dc.journal.volume
4  
dc.journal.number
3  
dc.journal.pagination
251-267  
dc.journal.pais
Alemania  
dc.journal.ciudad
Berlín  
dc.description.fil
Fil: Gimenez, Juan Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina  
dc.description.fil
Fil: Ramajo, Damian Enrique. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina  
dc.description.fil
Fil: Marquez Damian, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina. Universidad Tecnológica Nacional; Argentina  
dc.description.fil
Fil: Nigro, Norberto Marcelo. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones en Métodos Computacionales. Universidad Nacional del Litoral. Centro de Investigaciones en Métodos Computacionales; Argentina  
dc.description.fil
Fil: Idelsohn, Sergio Rodolfo. International Center for Numerical Methods in Engineering; España. Institució Catalana de Recerca i Estudis Avancats; España. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina  
dc.journal.title
Computational Particle Mechanics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s40571-016-0135-2  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s40571-016-0135-2