An improved multiphase lattice Boltzmann flux solver for three-dimensional flows with large density ratio and high Reynolds number

Wang, Yan; Chen, Shu; Yang, Liming

doi:10.1016/j.jcp.2015.08.049

Cited by 92 publications

(51 citation statements)

References 38 publications

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“…Owing to the use of these contact discontinuity capturing schemes, which are widely adopted in the simulations of compressible flows with shock waves [179,[316][317][318], the multiphase LB flux solver works well at the density ratio of 1000 [67]. Recently, Wang et al [319] have improved their multiphase LB flux solver and developed a three-dimensional version using the D3Q15 lattice. Some numerical results can be found in Fig.…”

Section: Improved Modelsmentioning

confidence: 99%

Lattice Boltzmann methods for multiphase flow and phase-change heat transfer

Luo

Kang

et al. 2016

Progress in Energy and Combustion Science

802

373

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Over the past few decades, tremendous progress has been made in the development of particle-based discrete simulation methods versus the conventional continuum-based methods. In particular, the lattice Boltzmann (LB) method has evolved from a theoretical novelty to a ubiquitous, versatile and powerful computational methodology for both fundamental research and engineering applications. It is a kinetic-based mesoscopic approach that bridges the microscales and macroscales, which offers distinctive advantages in simulation fidelity and computational efficiency. Applications of the LB method are now found in a wide range of disciplines including physics, chemistry, materials, biomedicine and various branches of engineering. The present work provides a comprehensive review of the LB method for thermofluids and energy applications, focusing on multiphase flows, thermal flows and thermal multiphase flows with phase change. The review first covers the theoretical framework of the LB method, revealing certain inconsistencies and defects as well as common features of multiphase and thermal LB models. Recent developments in improving the thermodynamic and hydrodynamic consistency, reducing spurious currents, enhancing the numerical stability, etc., are highlighted. These efforts have put the LB method on a firmer theoretical foundation with enhanced LB models that can achieve larger liquid-gas density ratio, higher Reynolds number and flexible surface tension. Examples of applications are provided in fuel cells and batteries, droplet collision, boiling heat transfer and evaporation, and energy storage. Finally, further developments and future prospect of the LB method are outlined for thermofluids and energy applications.3

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Section: Improved Modelsmentioning

confidence: 99%

Lattice Boltzmann methods for multiphase flow and phase-change heat transfer

Luo

Kang

et al. 2016

Progress in Energy and Combustion Science

802

373

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“…Only the interface along the diagonal plane z = x differs from the two-dimensional problem, since this reveals the unique two-layer roll-up phenomenon. and spike tip (bottom) compared to [31,32].…”

Section: Interface Dynamicsmentioning

confidence: 99%

Evaluation of the finite element lattice Boltzmann method for binary fluid flows

Matin¹,

Misztal²,

Hernández-García³

et al. 2017

Computers & Mathematics with Applications

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In contrast to the commonly used lattice Boltzmann method, off-lattice Boltzmann methods decouple the velocity discretization from the underly- forcing terms in the advection term, the current scheme applies collision and forcing terms locally for a simpler finite element formulation. A series of thorough benchmark studies reveal that this does not compromise stability and that the scheme is able to accurately simulate flows at large density and viscosity contrasts.

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“…Although a thick interface helps the LB model to maintain numerical stability, the accuracy is also sacrificed [54]. Generally, a sharp interface thickness is crucial for a numerical method of the diffuse type to obtain complex interfacial structures; otherwise, thick interfaces will smear them [55]. A comparison among interface thicknesses calculated by the proposed LBM and FV-VOF implementations presented in Ref.…”

Section: A Nonevaporating Dropletmentioning

confidence: 99%