Simulation of entrained flow gasification reactor with Multi Phase Particle in Cell (MP-PIC) approach

Coarse-grained methods have been widely used in simulations of gas-solid fluidization. However, as a key parameter, the coarse-graining ratio, and its relevant scaling law is still far from reaching a consensus. In this work, a scaling law is developed based on a similarity analysis, and then it is used to scale the multi-phase particle-in-cell (MP-PIC) method, and validated in the simulation of two bubbling fluidized beds. The simulation result shows this scaled MP-PIC can reduce the errors of solids volume fraction and velocity distributions over a wide range of coarse-graining ratios. In future, we expect that a scaling law with consideration of the heterogeneity inside a parcel or numerical particle will further improve the performance of coarse-grained modeling in simulation of fluidized beds.

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Multi-phase particle-in-cell coupled with population balance equation (MP-PIC-PBE) method for multiscale computational fluid dynamics simulation

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2019.106686 ◽

2020 ◽

Vol 134 ◽

pp. 106686 ◽

Cited By ~ 2

Author(s):

Shin Hyuk Kim ◽

Jay H. Lee ◽

Richard D. Braatz

Keyword(s):

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Balance Equation ◽

Phase Particle ◽

Population Balance ◽

Dynamics Simulation ◽

Population Balance Equation ◽

Computational Fluid Dynamics Simulation ◽

Particle In Cell ◽

Multi Phase

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Scalable Performance Prediction of Irregular Workloads in Multi-Phase Particle-in-Cell Applications

2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) ◽

10.1109/ipdpsw52791.2021.00120 ◽

2021 ◽

Author(s):

Sai P. Chenna ◽

Herman Lam ◽

Greg Stitt ◽

S Balachandar

Keyword(s):

Performance Prediction ◽

Phase Particle ◽

Particle In Cell ◽

Multi Phase

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Process Modeling: Lost-Foam Pattern Filling

Manufacturing Engineering and Materials Handling Engineering ◽

10.1115/imece2004-60483 ◽

2004 ◽

Author(s):

Peter J. Blaser ◽

Dale M. Snider ◽

Ken A. Williams ◽

Alan E. Cook ◽

Mark Hoover

Keyword(s):

Boundary Conditions ◽

Numerical Method ◽

Phase Particle ◽

Three Dimensional ◽

Video Data ◽

Particle In Cell ◽

Polystyrene Beads ◽

Multi Phase ◽

Foam Pattern ◽

Lost Foam

A transient, three-dimensional, multi-phase particle-in-cell approach is used to solve for the flow of polystyrene beads in complex three dimensional geometries which represent patterns used for lost-foam casting. The numerical method solves the gas conservation equations on an Eulerian grid and the motion of polystyrene beads is calculated in a Lagrangian frame of reference. The true particle size distribution is modeled, and the particle flow ranges from dilute to close-pack. Predicted fill behavior is compared to experimentally blown patterns using colored beads and to the measured transient filling of a pattern. The colored beads show a complex fill pattern which is calculated well by the numerical method. The transient calculation compares very well with measured video data, and the particle motion has unique particle behavior unlike a fluid. Because of uncertainties in boundary conditions in production lost-foam tooling, the sensitivity of lost-foam pattern filling to boundary conditions is examined.

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