| Project/Area Number |
11650782
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
化学工学一般
|
|---|
| Research Institution | Kobe University |
|---|
Principal Investigator |
USUI Hiromoto Kobe University, Department of Chemical Science and Engineering, Professor of Chemical Engineering, 工学部, 教授 (20107725)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
SUZUKI Hiroshi Kobe University, Department of Material Production Process Engineering, Division of Resource and Energy Science Graduate School of Science and Technology, Associate Professor, 自然科学研究科, 助教授 (90206524)
|
|---|
| Project Period (FY) |
1999 – 2000
|
| Project Status |
Completed (Fiscal Year 2000)
|
| Budget Amount *help |
¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2000: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 1999: ¥2,700,000 (Direct Cost: ¥2,700,000)
|
|---|
| Keywords | Fly Ash / Slurry / Waste Material Treatment / Rheology / Pipeline Transportation / Hydraulic Transportation / Solid-liquid suspension |
|---|
| Research Abstract |
Suspensions generally show the complex flow behavior. These complexities may be caused by interactions between solid particles forming the internal structure, particle size distribution, and non-spherical characteristics of suspended particles. The present authors have proposed a slurry viscosity prediction model which can be successfully applicable to an agglomerative slurries. In This study, we proposed a new algorism to give the maximum packing volume fraction. We subdivided the particle size distribution into two parts, i.e.larger particles and smaller particles. Only the larger particles was packed at first by taking account of the non-spherical characteristics. After the larger particles were packed, it was assumed that the void unoccupied by larger particles was packed by non-spherical smaller particles. This algorism was certified to work well for the prediction of well dispersed suspension systems. On the other hand, present investigators have been discussing the viscosity pre
… More
diction method of concentrated slurries for spherical particles with wide particle size distribution and with agglomerative nature. Combined with the maximum packing volume fraction algorism, the viscosity prediction method for non-spherical suspensions was proposed, which is based on Usui's suspension rheology model. It was demonstrated that the proposed model was able to predict the non-Newtonian slurry viscosity of fly ash dense slurry.
The above mentioned rheology model was applied to predict the non-Newtonian viscosity of dense fly ash slurry discharged from Matsuura coal burning power station. Based on this rheology characteristic, the slurry transportation system from a coal burning power station to a controlled deposit site is designed. A new fly ash deposit system with reduced transportation cost is proposed in this study. The feasibility study of pipeline transportation system of fly ash dense slurry have proved that the proposed system could be constructed and operated with much reduce cost if it is compared with usual transportation system using a belt conveyer or tracks. The results of the feasibility study is not published yet, but we are planning to present the results in the near future. Less
|
