A novel model and a new numerical method are presented for the transport of solid particles in rarefied flows. The model is based on a Vlasov type equation where the particles are represented by a distribution function. The rarefied flow is described by a BGK or ES-BGK approach. An accurate method is proposed to solve the particle transport equation in a fully Eulerian framework. Validations in 2D with respect to analytical solutions and a Lagrangian method are presented. The numerical model is then used to explain a peculiar particle dynamics observed in satellite thrusters.
Simulation of particle dynamics for rarefied flows: Backflow in thruster plumes / Bernard, Florian; Iollo, Angelo; Puppo, Gabriella. - In: EUROPEAN JOURNAL OF MECHANICS. B, FLUIDS. - ISSN 0997-7546. - 63:(2017), pp. 25-38. [10.1016/j.euromechflu.2017.01.001]
Simulation of particle dynamics for rarefied flows: Backflow in thruster plumes
Puppo Gabriella
2017
Abstract
A novel model and a new numerical method are presented for the transport of solid particles in rarefied flows. The model is based on a Vlasov type equation where the particles are represented by a distribution function. The rarefied flow is described by a BGK or ES-BGK approach. An accurate method is proposed to solve the particle transport equation in a fully Eulerian framework. Validations in 2D with respect to analytical solutions and a Lagrangian method are presented. The numerical model is then used to explain a peculiar particle dynamics observed in satellite thrusters.File | Dimensione | Formato | |
---|---|---|---|
Bernard_Simultaion_2017.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
2.3 MB
Formato
Adobe PDF
|
2.3 MB | Adobe PDF | Contatta l'autore |
Bernard_preprint_Simultaion_2017.pdf
accesso aperto
Tipologia:
Documento in Pre-print (manoscritto inviato all'editore, precedente alla peer review)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
3.11 MB
Formato
Unknown
|
3.11 MB | Unknown |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.