Viscosity Prediction of Dense Slurries Prepared by Non-Spherical Solid Particles.
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- USUI HIROMOTO
- Department of Chemical Science and Technology, Kobe University
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- LI LEI
- Department of Chemical Science and Technology, Kobe University
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- KINOSHITA SHIGERU
- Department of Chemical Science and Technology, Kobe University
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- SUZUKI HIROSHI
- Department of Chemical Science and Technology, Kobe University
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Prediction of the maximum packing volume fraction with non-spherical particles has been one of the important problems in powder technology. The sphericity depending on the particle diameter was measured by means of an image processing instrument. An algorithm to predict the maximum packing volume fraction with non-spherical particles is proposed. The maximum packing volume fraction was used to predict the slurry viscosity under well dispersed conditions. For this purpose, Simha's cell model was applied for concentrated slurry with wide particle size distribution. Also, Usui's model developed for aggregative slurries was applied to predict the non-Newtonian viscosity of dense fly ash-water slurry. It was certified that the maximum packing volume fraction for non-spherical particles can be successfully used to predict slurry viscosity, and this means indirectly the maximum packing volume fraction determined in this study is reasonable.
収録刊行物
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- JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
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JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 34 (3), 360-368, 2001
公益社団法人 化学工学会
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詳細情報 詳細情報について
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- CRID
- 1390001204566442880
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- NII論文ID
- 10006558603
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- NII書誌ID
- AA00709658
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- COI
- 1:CAS:528:DC%2BD3MXisVCmur4%3D
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- ISSN
- 18811299
- 00219592
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- NDL書誌ID
- 5721964
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可