Stabilization and smoothing of pressure in MPS method by Quasi-Compressibility

Tanaka, Masayuki; Masunaga, Takayuki

doi:10.1016/j.jcp.2010.02.011

Cited by 237 publications

(186 citation statements)

References 10 publications

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“…(Monaghan, 1988)과 MPS(Moving particle simulation)법 (Koshizuka and Oka, 1996)이 있으며, 격심한 자 유표면 운동 (Marrone et al, 2012), 혼상유동 (Khayyer and 남정우․박종천․박지인․황성철․허재경․정세민 Gotoh, 2013;Jeong et al, 2013), 유체-고체 연성 해석 (Yang et al, 2012 (Tanaka and Masunaga, 2008;Lee et al, 2011;Khayyer and Gotoh, 2011;Khayyer and Gotoh, 2012 …”

Section: 서 론 자유표면의 대 변형이나 동적 거동에 대한 해석은 일반적으 로 격심한 비선형 자유표면 유동을 동반하기 mentioning

confidence: 99%

Development of WMLS-based Particle Simulation Method for Solving Free-Surface Flow

Nam¹,

Park²,

Park³

et al. 2014

Journal of Ocean Engineering and Technology

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Section: 서 론 자유표면의 대 변형이나 동적 거동에 대한 해석은 일반적으 로 격심한 비선형 자유표면 유동을 동반하기 mentioning

confidence: 99%

Development of WMLS-based Particle Simulation Method for Solving Free-Surface Flow

Nam¹,

Park²,

Park³

et al. 2014

Journal of Ocean Engineering and Technology

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show abstract

“…First, momentum does not exist in the calculation of the pressure gradient term, and second, because an oscillatory pressure solution is obtained, local particle motion, e.g., surface particles, etc., is not stable. Therefore, in the present research, the method proposed by Tanaka et al, 14) in which weak compressibility is introduced in the Poisson equation of pressure, as adopted in order to maintain a smooth pressure gradient, and the equation for the pressure gradient term proposed by Toyota et al 15) was used for conservation of momentum. (9) c, γ, v * , and ni k are the enlargement ratio of the diagonal component, a relaxation coefficient expressing conservation of volume, the hypothetical particle velocity, and the hypothetical particle number density, respectively.…”

Section: Basic Equations Of the Modelmentioning

confidence: 99%

“…In this research, c = 1.01 and γ = 0.01. 14) In pressure calculations, as a boundary condition, the pressure of surface particles was assumed to be 0, and the internal pressure in the droplet was calculated using this as a standard. In judgments using the conventional particle density number, there were cases in which internal particles were mistakenly judged to be free surfaces; therefore, in the above-mentioned calculation, surface judgment was performed as follows using the number of neighboring particles Ni.…”

Section: Basic Equations Of the Modelmentioning

confidence: 99%

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Numerical Simulation of Dripping Behavior of Droplet in Packed Bed Using Particle Method

et al. 2012

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The liquid flow in the packed bed strongly affects the productivity and operational stability of the blast furnace. It is controlled by the physical properties and wettability of the melt and the structure of the packed bed. However, this is a difficult object of analysis, as melt properties and conditions in the furnace are inhomogeneous. In this research, a three-dimensional model of the liquid flow in a packed bed was constructed using the MPS method, which is one of particle method, in order to express melt behavior. The liquid flow on solid surfaces was expressed by optimizing the relationship of energy at a three-phase (solid, gas, liquid) interface. The appropriateness of the calculation model was verified by analyzing and comparing the behaviors of liquids with different physical properties flowing on the surface of a single sphere experimentally and in calculations. Next, this model was applied to analysis of the flow of liquids dripping in a packed bed, and a simulation was calculated for a three-dimensional liquid flow comprising dispersion and coalescence of the liquid. Among the knowledge obtained in this study, the viscosity of a liquid migrating through a packed bed influences the velocity and flow path of the liquid, but has little effect on the amount of liquid which remains in a static condition in the packed bed.

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“…Following these, another ap- proach was proposed. 64,65) The source term was modified in solving a Poisson equation of pressure so as to suppress the pressure fluctuation. In this case, the calculation time is almost the same because one Poisson equation of pressure is solved in one time step.…”

Section: Application To Various Fields 1 Ship Engineeringmentioning

confidence: 99%

Current Achievements and Future Perspectives on Particle Simulation Technologies for Fluid Dynamics and Heat Transfer

Koshizuka

2011

J. Nucl. Sci. Technol.

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The Moving Particle Semi-implicit (MPS) method is one of the particle methods in which continuum mechanics is analyzed using the concept of particles. Since meshes are not used, large deformation of free surfaces and material interfaces can be simulated without the problems of mesh distortion. Thus, the MPS method has been applied to multiphase flow analysis in nuclear engineering. The advantages of the particle methods are also useful for applications in other engineering fields: ship engineering, civil engineering, microflow, biomechanics, visualization, etc. In this review, calculation examples are described and classified. Commercial codes have been released and applied in industries. The particle methods are also used in TV programs, movies, and computer games. Combinations of numerical techniques for multiphysics problems, fast calculations, and high-quality visualizations are expected to lead to real-time particle simulations for various new applications in the near future.

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Stabilization and smoothing of pressure in MPS method by Quasi-Compressibility

Cited by 237 publications

References 10 publications

Development of WMLS-based Particle Simulation Method for Solving Free-Surface Flow

Development of WMLS-based Particle Simulation Method for Solving Free-Surface Flow

Numerical Simulation of Dripping Behavior of Droplet in Packed Bed Using Particle Method

Current Achievements and Future Perspectives on Particle Simulation Technologies for Fluid Dynamics and Heat Transfer

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