2017
DOI: 10.1007/s00193-017-0790-0
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Particle force model effects in a shock-driven multiphase instability

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Cited by 11 publications
(4 citation statements)
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“…Several investigations have been conducted through simulation and experimentation to explore the effect of particle lag (velocity relaxation time) on shock-driven multiphase mixing. Simulation efforts [4,5,11,12] showed that the vorticity deposition and mixing decrease as particle relaxation times increase. Thus, large particles resulted in a lower interface development and mixing.…”
Section: γ =mentioning
confidence: 99%
See 1 more Smart Citation
“…Several investigations have been conducted through simulation and experimentation to explore the effect of particle lag (velocity relaxation time) on shock-driven multiphase mixing. Simulation efforts [4,5,11,12] showed that the vorticity deposition and mixing decrease as particle relaxation times increase. Thus, large particles resulted in a lower interface development and mixing.…”
Section: γ =mentioning
confidence: 99%
“…In addition, the paper highlighted the importance of the particle size distribution when estimating the development of the hydrodynamics instabilities in the flow. Black et al [12] presented a comparison between the classic RMI (dusty gas case) and three different particle size cases. It was noted that the strength of the vorticity reduces with increasing particle size.…”
Section: γ =mentioning
confidence: 99%
“…They systematically vary the gas-solid coupling mechanism to determine the primary mechanism responsible for jet formation. Black et al [45] also present numerical simulations of a shock-driven multiphase instability, by considering the interaction of a shock wave with a circular region dilutely seeded with particles. They consider the effect of different particle force models on the development of the instability.…”
Section: Overview Of Papers In Thematic Issuementioning
confidence: 99%
“…Examples of the use of the two continuum models listed in Table 1 in which the solid phase is treated in a Lagrangian manner are represented by papers in this thematic issue [44][45][46][47][48][49].…”
Section: Computational Approachesmentioning
confidence: 99%