Discrete particle methods for engineering simulation: Reproducing mesoscale structures in multiphase systems

Xu, Jianzhong; Zhao, Peng; Yong, Zhang; Wang, Junwu; Ge, Wei

doi:10.1016/j.recm.2022.01.002

Cited by 15 publications

(4 citation statements)

References 101 publications

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“…Taking into account the double-sided model with equal diffusivity in liquid and solid phases, It should be noted that, actually, the phenomena and applications of multiphase flow systems are complex. There are also other simulation methods that are widely used, such as the family of discrete particle methods [106][107][108] for dense particle systems, the methods with point particle approximation [109,110] for dispersed multiphase flows, etc. In this paper, we only mainly focused on the PFM.…”

Section: Application Of Pfm In Fluid Mechanicsmentioning

confidence: 99%

Advances of Phase-Field Model in the Numerical Simulation of Multiphase Flows: A Review

Li,

Zheng,

Zhang

2023

Atmosphere

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The phase-field model (PFM) is gaining increasing attention in the application of multiphase flows due to its advantages, in which the phase interface is treated as a narrow layer and phase parameters change smoothly and continually at this thin layer. Thus, the construction or tracking of the phase interface can be avoided, and the bulk phase and phase interface can be simulated integrally. PFM provides a useful alternative that does not suffer from problems with either the mass conservation or the accurate computation of surface tension. In this paper, the state of the art of PFM in the numerical modeling and simulation of multiphase flows is comprehensively reviewed. Starting with a brief description of historical developments in the PFM, we continue to take a tour into the basic concepts, fundamental theory, and mathematical models. Then, the commonly used numerical schemes and algorithms for solving the governing systems of PFM in the application of multiphase flows are presented. The various applications and representative results, especially in non-match density scenarios of multiphase flows, are reviewed. The primary challenges and research focus of PFM are analyzed and summarized as well. This review is expected to provide a valuable reference for PFM in the application of multiphase flows.

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Section: Application Of Pfm In Fluid Mechanicsmentioning

confidence: 99%

Advances of Phase-Field Model in the Numerical Simulation of Multiphase Flows: A Review

Li,

Zheng,

Zhang

2023

Atmosphere

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“…Because of the difficulty of obtaining microscopic gas-solid behaviors through experiments, numerical simulations could be used as tools for modeling and predicting fluidized-bed transfer phenomena. The application of numerical simulations played an important role in both scientific research and engineering [4,5].…”

Section: Introductionmentioning

confidence: 99%

Efficiency Analysis of the Discrete Element Method Model in Gas‐Fluidized Beds

Aghel,

Alobaid,

Graf

et al. 2023

Chem Eng & Technol

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The efficiency and accuracy of the Euler‐Lagrange/discrete element method model were investigated. Accordingly, the stiffness coefficient and fluid time step were changed for different particle numbers and diameters. To derive the optimum parameters for simulations, the obtained results were compared with the measurements. According to the results, the application of higher stiffness coefficients improves the simulation accuracy slightly, however, the average computing time increases exponentially. For time intervals larger than 5 ms, the results indicated that the average computation time is independent of the applied fluid time step, while the simulation accuracy decreases extremely by increasing the size of the fluid time step. Nevertheless, using time steps smaller than 5 ms leads to negligible improvements in the simulation accuracy, though to an exponential rise in the average computing time.

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“…One may argue that the heat transfer inside clusters could be enhanced by reactions in reactive gas–solid flows since reactions could produce obvious temperature differences between the two phases. However, the reaction rate inside clusters is also inhibited by the lower mass transfer caused by lower permeability 33,34 . Hence, for developing an accurate mesoscale heat transfer model, how to obtain sufficient data of heat transfer behavior that are in line with the real physical process is still an open problem.…”

Section: Introductionmentioning

confidence: 99%

“…However, the reaction rate inside clusters is also inhibited by the lower mass transfer caused by lower permeability. 33,34 Hence, for developing an accurate mesoscale heat transfer model, how to obtain sufficient data of heat transfer behavior that are in line with the real physical process is still an open problem.…”

mentioning

confidence: 99%

Modeling filtered heat transfer model by considering dimensionless temperature difference between gas and solid phases

Han

et al. 2022

AIChE Journal

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Computational fluid dynamics–discrete element method is used to simulate gas–solid flows with heat transfer. The strategy of repetitively resetting the gas phase temperature is adopted to maintain the temperature difference between the gas and solid phases. The difference between the heat transfer characteristics produced by this strategy and the traditional heat source method is analyzed. It is found that heat transfer in dense regions is artificially enhanced by the heat source method. Therefore, the results obtained by the temperature reset method are filtered to develop a three‐marker model for the filtered interphase heat transfer coefficient (IHTC). In the developed model, the filtered gas–solid temperature difference is nondimensionalized by the average gas–solid temperature difference in surrounding grids, which is shown to have an impact on the filtered IHTC. The developed model is demonstrated to be effective and accurate in both a prior and a posterior tests.

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Discrete particle methods for engineering simulation: Reproducing mesoscale structures in multiphase systems

Cited by 15 publications

References 101 publications

Advances of Phase-Field Model in the Numerical Simulation of Multiphase Flows: A Review

Advances of Phase-Field Model in the Numerical Simulation of Multiphase Flows: A Review

Efficiency Analysis of the Discrete Element Method Model in Gas‐Fluidized Beds

Modeling filtered heat transfer model by considering dimensionless temperature difference between gas and solid phases

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