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논문 기본 정보

자료유형
학술대회자료
저자정보
Arman Safdari (Pusan National University) Kyung Chun Kim (Pusan National University)
저널정보
한국가시화정보학회 한국가시화정보학회 학술발표대회 논문집 2015년도 한국가시화정보학회 춘계학술대회
발행연도
2015.5
수록면
47 - 50 (4page)

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The estimation of solid particle dynamic through fluid has known as an important research topic which has been fairly intensive over the past decades. Although traditional computational fluids dynamics models are able to predict multiphase flows and the interactions between the fluid and the surroundings, the high level of accuracy of an appropriate numerical model for this kind of difficulty is still demanded. Hence, in this study a modern computational fluid dynamic model, Lattice Boltzmann Method (LBM), has been proposed in order to predict the three-dimensional cubic lid-driven cavity flow and combined with the Lagrangian approach on the prediction of solid particles in the range of different density rations. For solving the term of flow fluid the mesoscale numerical scheme of the Multi Relaxation Time (MRT) lattice Boltzmann methods is used to simulate the objects at the higher stability. In the present study, the different density of the particles is considered and the effect of gravity force is included in our calculation, as well as, in order to solve the effect from the external force on the particle the 4th Runge-Kutta method was functioned since this method is accurate enough compare with other known numerical schemes. The hard sphere model was applied to model the collisions between particle-particle and particle-wall. It is exposed that the solid particle subtleties by using the numerical fluid dynamic simulation of LBM has a very good settlement with the reputable benchmark results by previous researchers. As well as, according to the results, the dependency of particle trajectories on the magnitude of density of the particles can be observed. The demonstrated results indicate the significant effect of collision, drag force, gravity force and vortex structure on the particle’s trajectory. Consequently it was shown that the LBM model is suitable for this kind of problems and proposed model is quite to use for varied applications.

목차

Abstract
1. Introduction
2. Mathematical model
3. Results and discussion
4. Conclusion
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UCI(KEPA) : I410-ECN-0101-2016-505-001440818