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Realizability improvements to a hybrid mixture-bubble model for simulation of cavitating flows.

Authors :
Ghahramani, Ebrahim
Arabnejad, Mohammad Hossein
Bensow, Rickard E.
Source :
Computers & Fluids. Sep2018, Vol. 174, p135-143. 9p.
Publication Year :
2018

Abstract

Highlights • The hybrid model is capable of resolving various cavities in different length scales. • The new improvements avoid spurious pressure pulses and spurious vapour generation. • Consideration of bubble contribution in the Eulerian equations and mixture properties. • Better representation of the spatial distribution of Eulerian cavity after transition. Abstract Cavitating multi-phase flows include an extensive range of cavity structures with different length scales, from micro bubbles to large sheet cavities that may fully cover the surface of a device. To avoid high computational expenses, incompressible transport equation models are considered a practical option for simulation of large scale cavitating flows, normally with limited representation of the small scale vapour structures. To improve the resolution of all scales of cavity structures in these models at a moderate additional computational cost, a possible approach is to develop a hybrid Eulerian mixture -Lagrangian bubble solver in which the larger cavities are considered in the Eulerian framework and the small (sub-grid) structures are tracked as Lagrangian bubbles. A critical step in developing such hybrid models is the correct transition of the cavity structures from the Eulerian mixture to a Lagrangian discrete bubble framework. In this paper, such a multi-scale model for numerical simulation of cavitating flows is described and some encountered numerical issues for Eulerian–Lagrangian transition are presented. To address these issues, a new improved formulation is developed, and simulation results are presented that show the issues are overcome in the new model. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00457930
Volume :
174
Database :
Academic Search Index
Journal :
Computers & Fluids
Publication Type :
Periodical
Accession number :
131796306
Full Text :
https://doi.org/10.1016/j.compfluid.2018.06.025