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Published February 1, 2020 | Submitted
Journal Article Open

An assessment of multicomponent flow models and interface capturing schemes for spherical bubble dynamics

Abstract

Numerical simulation of bubble dynamics and cavitation is challenging; even the seemingly simple problem of a collapsing spherical bubble is difficult to compute accurately with a general, three-dimensional, compressible, multicomponent flow solver. Difficulties arise due to both the physical model and the numerical method chosen for its solution. We consider the 5-equation model of Allaire et al. [1], the 5-equation model of Kapila et al. [2], and the 6-equation model of Saurel et al. [3] as candidate approaches for spherical bubble dynamics, and both MUSCL and WENO interface-capturing methods are implemented and compared. We demonstrate the inadequacy of the traditional 5-equation model of Allaire et al. [1] for spherical bubble collapse problems and explain the corresponding advantages of the augmented model of Kapila et al. [2] for representing this phenomenon. Quantitative comparisons between the augmented 5-equation and 6-equation models for three-dimensional bubble collapse problems demonstrate the versatility of pressure-disequilibrium models. Lastly, the performance of pressure disequilibrium model for representing a three-dimensional spherical bubble collapse for different bubble interior/exterior pressure ratios is evaluated for different numerical methods. Pathologies associated with each factor and their origins are identified and discussed.

Additional Information

© 2019 Elsevier Inc. Received 17 March 2019, Revised 21 July 2019, Accepted 29 October 2019, Available online 4 November 2019. The authors would like to thank Dr. Mauro Rodriguez, Prof. Eric Johnsen, and Dr. Shahaboddin Alahyari Beig for fruitful discussions. This work was supported by the Office of Naval Research under grant numbers N0014-18-1-2625 and N0014-17-1-2676, and associated computations utilized the Extreme Science and Engineering Discovery Environment, which is supported by the National Science Foundation grant number CTS120005. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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