Multiphase Flows with Droplets and Particles
By C. Crowe, J. Schwarzkopf, M. Sommerfeld, Y. Tsuji. 2011
2,532 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/8e8941125353f836babbcdbc241089a0054c73aa
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Citations in the corpus
- An Euler-Lagrange strategy for simulating particle-laden flows (2013, background): “For varying particle-phase Stokes numbers and concentrations, the presence of the disperse phase can either augment or attenuate turbulence relative to single-phase turbulence [3].”
- A Review on Aerosol-Based Direct-Write and Its Applications for Microelectronics (2012, background): “Magnus force, FMa, is present if the particle is in rotation with respect to the surrounding fluid and is given by [31, 33]”
- Assessment of particle-tracking models for dispersed particle-laden flows implemented in OpenFOAM and ANSYS FLUENT (2016, unknown): “According toCrowe et al. (1998) CD can be calculated via a non-linear function in the dependency of the particle Reynolds number ReP = ρdP(uP − ūF)/μ:”
- Multiscale simulation of atomization with small droplets represented by a Lagrangian point-particle model (2014, background): “It has been found in previous works that the effect of the coupling force on changing the fluid momentum is related to the mass fraction of dispersed phase, [14, 35], hence in the one-way coupling assumption the error in ũ increases with the mass fraction of the LPP droplets.”
- Adhesive particulate flow: The discrete-element method and its application in energy and environmental engineering (2011, unknown): “[82], Seville et al.”
- Eulerian-Lagrangian modelling of detonative combustion in two-phase gas-droplet mixtures with OpenFOAM: Validations and verifications (2020, background): “1 Governing equation for gas phase The governing euuations of mass, momentum, energy, and species mass fractions, together with the ideal gas euuation of state, are solved in RYrhoCentralFoam for compressible, multi-component, reacting flows Due to the dilute droplet sprays considered in this work, ”
- Discrete particle simulation of particle–fluid flow: model formulations and their applicability (2010, background): “Details of those correlations can be found elsewhere (e.g. Crowe et al. 1998; Zhu et al. 2007).”
- Pairwise interaction extended point-particle model for a random array of monodisperse spheres (2017, methodology): “Expressions for these contributions have been rigorously obtained by Gatignol (1983) and Maxey & Riley (1983) in the Stokes regime, with empirical corrections that extend their applicability to finite Reynolds numbers (Magnaudet & Eames 2000; Balachandar & Eaton 2010; Crowe et al. 2011).”