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Multiphase Flow

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Abstract

In this chapter the pertinent multiphase modeling concepts established in fluid mechanics are examined.

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Notes

  1. 1.

    For non-spherical rigid particles the particle rotation may become important. This requires that an angular momentum equation for each particle has to be solved [42].

  2. 2.

    It is noticed that after some re-evaluation Tryggvason and co-workers [236, 242] classified their front tracking method [241] as an embedded interface method, since it is best described as a hybrid between a front tracking and a front capturing method.

  3. 3.

    The work of Brenner [28] also contains a micro-mechanical derivation of the differential equation of interface statics that clearly distinguish between micro-scale and macro-scale viewpoints. From thermodynamic analysis it is concluded that the surface tension manifests itself in the normal direction as a force that drives surfaces towards a minimum energy state characterized by a configuration of minimum surface area.

  4. 4.

    If we define \({\mathbf {n}}_I\) positive out of the curvature instead, the curvature itself must be defined in a consistent manner with sign defining its orientation. Note that several variations of sign conventions may be chosen. The choice of conventions is to a large extent a matter of convenience.

  5. 5.

    In the case of two immiscible fluids, a characteristic phase indicator function, \(X_I\), may be defined that is equal to 1 in one of the phases and 0 in the other phase. Then \(X_I\) and \({\mathbf {n}}_I\) are related by \({\mathbf {n}}_I \delta _I = \nabla X_I\) analogue to the relations used in standard volume averaging procedures [58, 177]. An averaged representation of this relation may be given as \(\frac{1}{\varDelta V} {\underset{\delta A_I}{\int }} {\mathbf {n}}_1 \delta _I da' = - \nabla \tilde{\alpha }_1\)

  6. 6.

    These droplet-droplet collisions are simulated by use of an in-house VOF code called FS3D developed at University of Stuttgart and Institut für Thermodynamik der Luft-und Raumfahrt, ITLR.

  7. 7.

    The reformulation is based on the relationship: \(\nabla H_\epsilon (\varphi ) = \frac{\partial H_\epsilon }{\partial x}+\frac{\partial H_\epsilon }{\partial y}+\frac{\partial H_\epsilon }{\partial z}=\frac{\partial H_\epsilon }{\partial \varphi }(\frac{\partial \varphi }{\partial x}+\frac{\partial \varphi }{\partial y}+\frac{\partial \varphi }{\partial z}) = \frac{\partial H_\epsilon }{\partial \varphi } \nabla \varphi \).

  8. 8.

    The 2D dividing surface model was originally proposed by Gibbs [89] (p. 219).

  9. 9.

    The notation used in the generic equation is strictly only valid for scalar properties. In the particular case when a vector property is considered the tensor order of the corresponding variables is understood to be adjusted accordingly. Hence, the quantities \(\psi _k\), \(\phi _k\) and \(\phi _I\) may be vectors or scalars, while \(\mathbf {J}_k\) and \(\varvec{\varphi }_I\) may be vectors, or second order tensors.

  10. 10.

    This frame is named the Frenet frame after Jean-Frédéric Frenet (1816–1900).

  11. 11.

    Note that other sign conventions exist as well.

  12. 12.

    The surface tension parameter (a scalar) has the same role as the pressure term in the three dimensional case (e.g., [46], p. 398; [213], p. 163).

  13. 13.

    It is noted that the requirement of proper separation of scales represents the main drawback of the volume averaging method. The constitutive equations used generally depend strongly on this assumption which is hardly ever fulfilled performing simulations of laboratory, pilot and industrial scale reactor units.

  14. 14.

    It is noted that the requirement of proper separation of scales represents the main drawback of the time averaging method. The constitutive equations used generally depend strongly on this assumption which is hardly ever fulfilled performing simulations of turbulent reactive flows.

  15. 15.

    For some turbulent flows, the boundary conditions and initial conditions cannot be controlled sufficiently to allow repeatable experiments. In this case, although turbulent flows are not really deterministic, a useful conceptualization of the ensemble average assumes that the flow is deterministic but that randomness may arise through the uncertainty in the initial and boundary conditions [62].

    Another possible conceptualization of the ensemble average imagines that the process is affected by small random forces through the motion. Particulate flows can then be described by distributions of positions, velocities and sizes adopting the basic principles of kinetic theory [91, 182, 262264]. This alternative ensemble averaging approach is examined in relation to granular flows in Chap. 4.

  16. 16.

    It is noted that the original Reynolds axioms are not applicable to discontinuous functions as normally occur across the interfaces in multiphase flow. As a remedy, Drew [58] extended these functions making them continuous by use of the generalized function concept connecting the functions of the continuous phases on each side of the interface across the interface. Hence the discontinuous functions are modified to be continuous but locally very steep functions across the interface. Formally the averaging axioms can then be extended to include the interfaces, giving rise to the modified formulations of the axioms.

  17. 17.

    For comparison we note that if we reverse the order in which we apply the averaging operators to the generalized quantity \(\psi \), the deviation \(\widehat{\overline{\psi }}_k\) between the un-smoothed local time averaged \(\overline{\psi }_k\) and the time- and volume averaged property value \(\langle \overline{\psi }_k \rangle _V\) is defined by:

    $$\begin{aligned} \widehat{\overline{\psi }}_k = \overline{\psi }_k - \langle \overline{\psi }_k \rangle _V \end{aligned}$$
    (3.326)
  18. 18.

    To relate the classical mixture theory to the more familiar volume averaging method we may assume that the mixture CV, which is larger than a phase element but smaller than the characteristic domain dimension, coincides with the averaging volume used in the volume averaging approach.

  19. 19.

    Area averaging can be considered to be a limiting case of local volume averaging [47, 51, 202]. Thus the phrase limiting form refers to the modified forms of the averaging theorems which are applicable to the governing 3D equations to derive a set of equations valid for 1D problems.

  20. 20.

    Whitaker [249] (Chap. 8) explains the convention normally used to distinguish between these two types of parameters. The friction factors for dispersed bodies immersed in a flowing fluid is traditionally referred to as dimensionless drag coefficients, whereas the drag force for flow inside closed conducts is generally expressed in terms of a dimensionless friction factor.

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Jakobsen, H.A. (2014). Multiphase Flow. In: Chemical Reactor Modeling. Springer, Cham. https://doi.org/10.1007/978-3-319-05092-8_3

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