| Project/Area Number |
10555060
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
Fluid engineering
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| Research Institution | Osaka University |
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Principal Investigator |
TSUJI Yutaka Graduate School of Engineering, Osaka University, Professor, 大学院・工学研究科, 教授 (10029233)
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| Co-Investigator(Kenkyū-buntansha) |
KAWAGUCHI Toshihiro Graduate School of Engineering, Osaka University, Research Associate, 大学院・工学研究科, 助手 (80234045)
TANAKA Toshitsugu Graduate School of Engineering, Osaka University, Associate Professor, 大学院・工学研究科, 助教授 (90171777)
YOSHIOKA Muneyuki Graduate School of Engineering, Osaka University, Associate Professor, 大学院・工学研究科, 助教授 (10029267)
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| Project Period (FY) |
1998 – 1999
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| Project Status |
Completed (Fiscal Year 1999)
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| Budget Amount *help |
¥11,400,000 (Direct Cost: ¥11,400,000)
Fiscal Year 1999: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 1998: ¥10,500,000 (Direct Cost: ¥10,500,000)
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| Keywords | multi-phase flow / gas-solid two-phase flow / fluidized bed / numerical simulation / discrete element method / PTV / 回転二重円筒 / PIV |
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| Research Abstract |
We developed a computer system to make large-scale numerical analysis by installing large memories on a computer. Although the DEM (discrete element method) simulation has been applied only for 2D or small-scale systems so far, it can be applied to large-scale systems with our system. We performed the large-scale numerical analysis for three-dimensional gas-solid two-phase flows, for example, plug flows in a vertical pipe, spouted beds in a cylindrical vessel and fluidized beds in a rectangular vessel. Althogh the calculation of the fluid motion was simplified to 1D or 2D depending on the cases, the obtained three-dimensional flow pattern agreed well with corresponding experiments.
We performed DEM simulations also for problems of the breakage of a simgle particle and the particle motion in concentric cylinders. In these calculations, the number of particles is not very large. However, the computational load is big because large memories are needed to keep additional attractive forces or long continuous computation is needed to obtain the steady state. The present system was very available also for such problems.
Furthermore we developed a PTV measurement system to track the motion of particles in experiments. We applied this measurement system to the particle motion in a two-dimensional fluidized bed. We compared measured flow patterns with those of the DEM simulation. We found good agreement with each other in the particle motion around bubbles.
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