### Abstract

In recent years, Lattice Boltzmann Methods (LBM’s) have emerged as a popular class of paradigms for the simulation of multiphase flows. These methods rely on discretized Boltzmann equations to represent the individual multiphase species. Among LBM’s advantages is its ability to explicitly account for interfacial physics and its local streaming/collision operations which make it ideally suited for parallelization. However, one drawback of LBM is in the simulation of incompressible multiphase flow, whereby the density should remain constant along material characteristics. Because LBM uses a state equation to relate pressure and density, incompressibility cannot be enforced directly. This is true even for incompressible single-phase LBM calculations, in which a finite density drop is needed to drive through the flow. This is also the case for compressible Navier-Stokes algorithms when applied to low Mach number flow. To mitigate compressibility effects, LBM can be used in low Mach regimes which should keep material density variation small. In this work, we demonstrate that the assumption of low Mach number is not sufficient in multiphase internal flows. In such flows, in the absence of a Pressure Poisson constraint to enforce incompressibility, LBM predicts a compressible solution whereby a density gradient must develop to conserve mass. Imposition of inflow/outflow boundary conditions or a mean body force can ensure that mass is conserved globally, thereby quelling density variation. The primary numerical problem we study is the deformation of a liquid droplet immersed in another fluid. Though LBM is not typically conducted with a pressure Poisson equation, we incorporate one in this work and demonstrate that its inclusion can significantly lower the density variation in view of maintaining an incompressible flow.

Original language | English (US) |
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Title of host publication | Multiphase Flow |

Publisher | American Society of Mechanical Engineers (ASME) |

ISBN (Electronic) | 9780791859087 |

DOIs | |

State | Published - Jan 1 2019 |

Event | ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019 - San Francisco, United States Duration: Jul 28 2019 → Aug 1 2019 |

### Publication series

Name | ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019 |
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Volume | 5 |

### Conference

Conference | ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019 |
---|---|

Country | United States |

City | San Francisco |

Period | 7/28/19 → 8/1/19 |

### Fingerprint

### Keywords

- GPU
- Lattice Boltzmann method (LBM)
- Microchannels
- Multiphase flow

### ASJC Scopus subject areas

- Fluid Flow and Transfer Processes

### Cite this

*Multiphase Flow*(ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019; Vol. 5). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/AJKFluids2019-4943

**LBM simulations of dispersed multiphase flows in a channel : Role of a pressure Poisson equation.** / Horwitz, Jeremy A.K.; Vanka, S. P.; Kumar, P.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Multiphase Flow.*ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019, vol. 5, American Society of Mechanical Engineers (ASME), ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019, San Francisco, United States, 7/28/19. https://doi.org/10.1115/AJKFluids2019-4943

}

TY - GEN

T1 - LBM simulations of dispersed multiphase flows in a channel

T2 - Role of a pressure Poisson equation

AU - Horwitz, Jeremy A.K.

AU - Vanka, S. P.

AU - Kumar, P.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - In recent years, Lattice Boltzmann Methods (LBM’s) have emerged as a popular class of paradigms for the simulation of multiphase flows. These methods rely on discretized Boltzmann equations to represent the individual multiphase species. Among LBM’s advantages is its ability to explicitly account for interfacial physics and its local streaming/collision operations which make it ideally suited for parallelization. However, one drawback of LBM is in the simulation of incompressible multiphase flow, whereby the density should remain constant along material characteristics. Because LBM uses a state equation to relate pressure and density, incompressibility cannot be enforced directly. This is true even for incompressible single-phase LBM calculations, in which a finite density drop is needed to drive through the flow. This is also the case for compressible Navier-Stokes algorithms when applied to low Mach number flow. To mitigate compressibility effects, LBM can be used in low Mach regimes which should keep material density variation small. In this work, we demonstrate that the assumption of low Mach number is not sufficient in multiphase internal flows. In such flows, in the absence of a Pressure Poisson constraint to enforce incompressibility, LBM predicts a compressible solution whereby a density gradient must develop to conserve mass. Imposition of inflow/outflow boundary conditions or a mean body force can ensure that mass is conserved globally, thereby quelling density variation. The primary numerical problem we study is the deformation of a liquid droplet immersed in another fluid. Though LBM is not typically conducted with a pressure Poisson equation, we incorporate one in this work and demonstrate that its inclusion can significantly lower the density variation in view of maintaining an incompressible flow.

AB - In recent years, Lattice Boltzmann Methods (LBM’s) have emerged as a popular class of paradigms for the simulation of multiphase flows. These methods rely on discretized Boltzmann equations to represent the individual multiphase species. Among LBM’s advantages is its ability to explicitly account for interfacial physics and its local streaming/collision operations which make it ideally suited for parallelization. However, one drawback of LBM is in the simulation of incompressible multiphase flow, whereby the density should remain constant along material characteristics. Because LBM uses a state equation to relate pressure and density, incompressibility cannot be enforced directly. This is true even for incompressible single-phase LBM calculations, in which a finite density drop is needed to drive through the flow. This is also the case for compressible Navier-Stokes algorithms when applied to low Mach number flow. To mitigate compressibility effects, LBM can be used in low Mach regimes which should keep material density variation small. In this work, we demonstrate that the assumption of low Mach number is not sufficient in multiphase internal flows. In such flows, in the absence of a Pressure Poisson constraint to enforce incompressibility, LBM predicts a compressible solution whereby a density gradient must develop to conserve mass. Imposition of inflow/outflow boundary conditions or a mean body force can ensure that mass is conserved globally, thereby quelling density variation. The primary numerical problem we study is the deformation of a liquid droplet immersed in another fluid. Though LBM is not typically conducted with a pressure Poisson equation, we incorporate one in this work and demonstrate that its inclusion can significantly lower the density variation in view of maintaining an incompressible flow.

KW - GPU

KW - Lattice Boltzmann method (LBM)

KW - Microchannels

KW - Multiphase flow

UR - http://www.scopus.com/inward/record.url?scp=85076465949&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85076465949&partnerID=8YFLogxK

U2 - 10.1115/AJKFluids2019-4943

DO - 10.1115/AJKFluids2019-4943

M3 - Conference contribution

AN - SCOPUS:85076465949

T3 - ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019

BT - Multiphase Flow

PB - American Society of Mechanical Engineers (ASME)

ER -