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Mo H, Yong Y, Chen W, Dai J, Xu J, Yang C. Numerical Simulation on Insoluble Surfactant Mass Transfer on Deformable Bubble Interface in a Couette Flow by Phase-Field Lattice Boltzmann Method-Finite-Difference Method Hybrid Approach. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2023; 39:15162-15176. [PMID: 37643070 DOI: 10.1021/acs.langmuir.3c01242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Elaborate management on bubble shape and transportations depends on the balance between multiple physical behaviors for two-phase flow with Marangoni stress and the interface mass transfer. In this paper, a new model combining PFLBM (phase-field lattice Boltzmann method) and FDM ( finite-difference method) coupling with the ghost-cell method was built. The PFLBM-FDM was validated for the high accuracy, less computational cost, and low mass loss compared to other methods. Based on the PFLBM-FDM, a surfactant-laden bubble deformed and transported in a laminar Couette flow was investigated. The deformation ratio and transportation velocity were explored with different density ratios, surface tensions, shear velocities, and diffusion coefficients. The numerical results showed that the equilibrium state of the bubble deformation was decided only by the dimensionless numbers when the Sh number was higher than 100. Moreover, the transportation velocity of the bubble can be controlled by the balance between the Marangoni stress and shear velocity. When the Sh is lower than 100, the Marangoni stress from the surfactant is not a long-range force, which only works at the early flow. Otherwise, the Marangoni stress will be a long-range force that provides a persistent force to accelerate the bubble by ∼10%. Increasing ReH will further intensify the effect. Based on all the data, a correlation of the bubble deformation including with the densities of two fluids was obtained and the error range is less 5%.
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Affiliation(s)
- Hanyang Mo
- Institute of Chemical & Environmental Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
- State Key Laboratory of Petroleum Molecular & Process Engineering, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Yumei Yong
- State Key Laboratory of Petroleum Molecular & Process Engineering, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Wenqiang Chen
- State Key Laboratory of Petroleum Molecular & Process Engineering, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Jialin Dai
- State Key Laboratory of Petroleum Molecular & Process Engineering, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Junbo Xu
- State Key Laboratory of Petroleum Molecular & Process Engineering, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
| | - Chao Yang
- Institute of Chemical & Environmental Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
- State Key Laboratory of Petroleum Molecular & Process Engineering, CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
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Wang H, Wang S, Wang Y, Fu Y, Cheng Y. Ternary fluid lattice Boltzmann simulation of dynamic interfacial tension induced by mixing inside microdroplets. AIChE J 2021. [DOI: 10.1002/aic.17519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Hao Wang
- Department of Chemical Engineering Tsinghua University Beijing China
| | - Shiteng Wang
- Department of Chemical Engineering Tsinghua University Beijing China
| | - Yujie Wang
- Department of Chemical Engineering Tsinghua University Beijing China
| | - Yuhang Fu
- Department of Chemical Engineering Tsinghua University Beijing China
| | - Yi Cheng
- Department of Chemical Engineering Tsinghua University Beijing China
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Yang JY, Dai XY, Xu QH, Liu ZY, Shi L, Long W. Lattice Boltzmann modeling of interfacial mass transfer in a multiphase system. Phys Rev E 2021; 104:015307. [PMID: 34412297 DOI: 10.1103/physreve.104.015307] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/28/2021] [Indexed: 11/07/2022]
Abstract
In the present study, a numerical model based on the lattice Boltzmann method (LBM) is proposed to simulate multiphase mass transfer, referred to as the CST-LB model. This model introduced continuum species transfer (CST) formulation by an additional collision term to model the mass transfer across the multiphase interface. The boundary condition treatment of this model is also discussed. In order to verify the applicability, the CST-LB model is combined with the pseudopotential multiphase model to simulate a series of benchmark cases, including concentration jump near the interface, gas dissolution in a closed system, species transport during drainage in a capillary tube, and multiphase species transport in the porous media. This CST-LB model can also be coupled with other multiphase LBMs since the model depends on the phase fraction field, which is not explicitly limited to specified multiphase models.
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Affiliation(s)
- Jun-Yu Yang
- Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
| | - Xiao-Ye Dai
- Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
| | - Qiang-Hui Xu
- Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
| | - Zhi-Ying Liu
- Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
| | - Lin Shi
- Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
| | - Wei Long
- Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China and iCore Group Inc., Shenzhen 518057, China
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Lee YK, Ahn KH. Particle dynamics at fluid interfaces studied by the color gradient lattice Boltzmann method coupled with the smoothed profile method. Phys Rev E 2020; 101:053302. [PMID: 32575323 DOI: 10.1103/physreve.101.053302] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 04/12/2020] [Indexed: 11/07/2022]
Abstract
We suggest a numerical method to describe particle dynamics at the fluid interface. We adopt a coupling strategy by combining the color gradient lattice Boltzmann method (CGLBM) and smoothed profile method (SPM). The proposed scheme correctly resolves the momentum transfer among the solid particles and fluid phases while effectively controlling the wetting condition. To validate the present algorithm (CGLBM-SPM), we perform several simulation tests like wetting a single solid particle and capillary interactions in two solid particles floating at the fluid interface. Simulation results show a good agreement with the analytical solutions available and look qualitatively reasonable. From these analyses, we conclude that the key features of the particle dynamics at the fluid interface are correctly resolved in our simulation method. In addition, we apply the present method for spinodal decomposition of a ternary mixture, which contains two-immiscible fluids with solid particles. By adding solid particles, fluid segregation is much suppressed than in the binary liquid mixture case. Furthermore, it has different morphology, such as with the jamming structure of the particles at the fluid interface, and captured images are similar to bicontinuous interfacially jammed emulsion gels in literature. From these results, we confirm the feasibility of the present method to describe soft matters; in particular, emulsion systems that contain solid particles at the interface.
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Affiliation(s)
- Young Ki Lee
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, Seoul, 08826, Korea
| | - Kyung Hyun Ahn
- School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, Seoul, 08826, Korea
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5
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Pore-scale simulation of internal reaction mechanism of positive electrode for zinc-nickel single-flow battery. J Solid State Electrochem 2020. [DOI: 10.1007/s10008-020-04536-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Leclaire S, Vidal D, Fradette L, Bertrand F. Validation of the pressure drop–flow rate relationship predicted by lattice Boltzmann simulations for immiscible liquid–liquid flows through SMX static mixers. Chem Eng Res Des 2020. [DOI: 10.1016/j.cherd.2019.10.035] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Fu Y, Wang H, Zhang X, Bai L, Jin Y, Cheng Y. Numerical simulation of liquid mixing inside soft droplets with periodic deformation by a lattice Boltzmann method. J Taiwan Inst Chem Eng 2019. [DOI: 10.1016/j.jtice.2018.08.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Mei Q, Wei X, Sun W, Zhang X, Li W, Ma L. Liquid membrane catalytic model of hydrolyzing cellulose into 5-hydroxymethylfurfural based on the lattice Boltzmann method. RSC Adv 2019; 9:12846-12853. [PMID: 35520814 PMCID: PMC9063758 DOI: 10.1039/c9ra02090j] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 04/08/2019] [Indexed: 11/21/2022] Open
Abstract
Conversion of cellulose to 5-hydroxymethylfurfural (HMF) is an important means of biomass utilization.
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Affiliation(s)
- Qun Mei
- Laboratory of Basic Research in Biomass Conversion and Utilization
- Department of Thermal Science and Energy Engineering
- University of Science and Technology of China
- Hefei 230026
- PR China
| | - Xiangqian Wei
- Laboratory of Basic Research in Biomass Conversion and Utilization
- Department of Thermal Science and Energy Engineering
- University of Science and Technology of China
- Hefei 230026
- PR China
| | - Weitao Sun
- Laboratory of Basic Research in Biomass Conversion and Utilization
- Department of Thermal Science and Energy Engineering
- University of Science and Technology of China
- Hefei 230026
- PR China
| | - Xinghua Zhang
- CAS Key Laboratory of Renewable Energy
- Guangzhou Institute of Energy Conversion
- Chinese Academy of Sciences
- Guangzhou 510640
- PR China
| | - Wenzhi Li
- Laboratory of Basic Research in Biomass Conversion and Utilization
- Department of Thermal Science and Energy Engineering
- University of Science and Technology of China
- Hefei 230026
- PR China
| | - Longlong Ma
- CAS Key Laboratory of Renewable Energy
- Guangzhou Institute of Energy Conversion
- Chinese Academy of Sciences
- Guangzhou 510640
- PR China
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Fu Y, Bai L, Zhao S, Zhang X, Jin Y, Cheng Y. Simulation of reactive mixing behaviors inside micro-droplets by a lattice Boltzmann method. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.02.010] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Riaud A, Zhang H, Wang X, Wang K, Luo G. Numerical Study of Surfactant Dynamics during Emulsification in a T-Junction Microchannel. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2018; 34:4980-4990. [PMID: 29597349 DOI: 10.1021/acs.langmuir.8b00123] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Microchannel emulsification requires large amounts of surfactant to prevent coalescence and improve emulsions lifetime. However, most numerical studies have considered surfactant-free mixtures as models for droplet formation in microchannels, without taking into account the distribution of surfactant on the droplet surface. In this paper, we investigate the effects of nonuniform surfactant coverage on the microfluidic flow pattern using an extended lattice-Boltzmann model. This numerical study, supported by micro-particle image velocimetry experiments, reveals the likelihood of uneven distribution of surfactant during the droplet formation and the appearance of a stagnant cap. The Marangoni effect affects the droplet breakup by increasing the shear rate. According to our results, surfactant-free and surfactant-rich droplet formation processes are qualitatively different, such that both the capillary number and the Damköhler number should be considered when modeling the droplet generation in microfluidic devices. The limitations of traditional volume and pressure estimation methods for determining the dynamic interfacial tension are also discussed on the basis of the simulation results.
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Affiliation(s)
- Antoine Riaud
- The State Key Lab of Chemical Engineering, Department of Chemical Engineering , Tsinghua University , Beijing 100084 , China
| | - Hao Zhang
- The State Key Lab of Chemical Engineering, Department of Chemical Engineering , Tsinghua University , Beijing 100084 , China
| | - Xueying Wang
- The State Key Lab of Chemical Engineering, Department of Chemical Engineering , Tsinghua University , Beijing 100084 , China
| | - Kai Wang
- The State Key Lab of Chemical Engineering, Department of Chemical Engineering , Tsinghua University , Beijing 100084 , China
| | - Guangsheng Luo
- The State Key Lab of Chemical Engineering, Department of Chemical Engineering , Tsinghua University , Beijing 100084 , China
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