Reduction-consistent Cahn–Hilliard theory based lattice Boltzmann equation method for N immiscible incompressible fluids
Introduction
Transport phenomena of interface dynamics with complex topological change in multiphase flow system are of great interest in nature and engineering. Due to the complex topological evolution of fluid–fluid interface, the efficient and accurate interface tracking technique for multiphase flow modeling is still a challenging task. In the literature, the Cahn–Hilliard equation (CHE) was widely applied to capture the interface evolution of phase separation, and the CHE-based numerical models gained great success in two-phase system [1]. In the CHE theory, the driven force was proportional to the gradient of chemical potential, which could be derived by the system free energy, and the theory showed that fluid–fluid interfaces were modeled by a narrow finite transition layer, which was related to the gradient parameter in the system free energy. When CHE was coupled with fluid dynamics, the fluid properties such as the density and viscosity varied continuously through the transition layer.
In practice, the multiphase fluid system with more than two immiscible fluids is frequently observed such as the oil–water–air or oil–water–oil ternary fluids system, and the interface topological evolution is more complex than that in two-phase system. When one wants to investigate the mechanism of more than two immiscible fluids numerically, one should design a suitable interface capturing technique. Recently, some attempts are devoted to this direction within the framework of CHE theory together with reduction-consistent issue for more than two immiscible fluids [2], [3], [4]. In Refs. [2], [3], the free energy density function and the general CHE were investigated for () immiscible fluids, and the reduction property of free energy was discussed in detail. In Ref. [4], the hydrodynamic effect and reduction-consistent properties of free energy density function and governing equations were investigated, and numerical results showed the predictions were consistent with the theoretical analysis. On the other hand, the lattice Boltzmann equation (LBE) method as one of the diffuse interface methods [5] has been successfully applied to the multiphase system [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22]. Recently, the CHE-based LBEs are further developed to ternary or more immiscible fluids system [23], [24], [25], [26], [27], [28], [29], [30]. Nevertheless, most of them focused on ternary fluids system, due to the unusable phase specific decomposition [2], [31], [32], the extension of the phase-field theory [2] based LBE to more than ternary immiscible fluids seems to be unfeasible, especially, the reduction-consistent issue is not clearly addressed in aforementioned CHE-based LBEs.
In this paper, we aim to design a reduction-consistent CHE-based LBE for N (N 2) immiscible incompressible fluids. In the model, the incompressible Navier–Stokes equations (NSE) is solved by LBE, while a simple LBE is proposed to solve the reduction-consistent CHE with a source term for fluid–fluid interface capturing in N (N 2) immiscible fluids, which can achieve the reduction-consistent property. The outline of this paper is given as follows: In Section 2, the phase-field theory of N (N 2) immiscible fluids are briefly overviewed, and the CHE-based LBE solvers are presented in Section 3; a series of benchmark simulations are conducted to validate present LBE models in Section 4, and a brief summary is included in Section 5.
Section snippets
Phase-field theory
In phase-field theory, the characteristic of multiphase flow can be described by a total mixture free energy () of the flow system such as the chemical potential and the pressure stress. In two-phase flow system, is usually a function of void fraction and its gradient. Similarly, the total mixture free energy for an isothermal -phase (N 2) system can be written as [4], [21], [28], [33] where is a bulk free energy, and its approximation form is
CHE based LBE model
In previous section, it is shown that the evolution of fluid–fluid interface among immiscible fluids is governed by the general CHE in Eq. (3). Since the coefficient of widely varying with , it is not easy to use the standard LBE solver to the general CHE. To overcome this issue, a simple LBE with a source term treatment is proposed to realize the reduction-consistent property, and the evolution of density distribution function is given as
Numerical simulations
In the following simulations, a two-dimensional (2D) nine discrete velocities model is applied to simulate spreading of a liquid lens, spinodal decomposition and dynamic of drops so as to show the accuracy and capability of present LBE. We introduce the following nondimensional parameters such as density ratios, , and viscosity ratios, , and Péclet number, , where , , and are the corresponding reference density, viscosity, velocity and initial diameter
Conclusion
In this paper, a lattice Boltzmann equation (LBE) method for N (N 2) immiscible incompressible fluids was presented from the reduction-consistent Cahn–Hilliard theory. In the model, the interface force between different fluids was incorporated to the incompressible hydrodynamic equations by a potential form. To guarantee the reduction-consistent property, a source term treatment was introduced to model interface capturing of N (N 2) immiscible fluids.
Numerical simulations of spreading of a
CRediT authorship contribution statement
Lin Zheng: Methodology, Software, Conceptualization, Writing - original draft, Writing - review & editing. Song Zheng: Investigation, Data curation, Writing - review & editing. Qinglan Zhai: Investigation, Software, Data curation, Visualization, Writing - review & editing.
Declaration of Competing Interest
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.
Acknowledgments
This work is supported by the Natural Science Foundation of China (Grant Nos. 51876092 and 51506097), the Natural Science Foundation of Zhejiang Province (Grant No. LY21E060010), the Projects of Anhui Province University Outstanding Youth Talents Support Program (Grant No. gxyq2019080), First Class Discipline of Zhejiang-A (Zhejiang University of Finance and Economics-Statistics) and the Humanities and Society Science Foundation from Ministry of Education of China (Grant No. 19YJCZH265).
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