Viscosity Prediction of Dense Slurries Prepared by Non-Spherical Solid Particles
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概要
- 論文の詳細を見る
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, Simhas cell model was applied for concentrated slurry with wide particle size distribution. Also, Usuis 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.
- 社団法人 化学工学会の論文
著者
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Usui Hiromoto
Department of Chemical Science and Engineering, Kobe University
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Suzuki Hiroshi
Department of Engineering and Applied Science, Faculty of Science and Technology, Sophia University
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Li Lei
Department Of Developmental Medical Sciences Graduate School Of Medicine The University Of Tokyo
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Usui H
Yamaguchi Univ. Ube Jpn
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薄井 洋基
神戸大
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Li Lei
Department Of Chemical Science And Technology Kobe University
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薄井 洋基
Dep. Of Chemical Sci. And Engineering Kobe Univ.
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KINOSHITA Shigeru
Department of Ophthalmology, Kyoto Prefectural University of Medicine
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Kinoshita Shigeru
Department Of Ophthalmology Kyoto Prefectural College Of Medicine
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Suzuki Hiroshi
Department Of Allergy And Immunology National Research Institute For Child Health & Development
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Usui Hiromoto
Department Of Applied Chemistry And Chemical Engineering Yamaguchi University
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Kinoshita Shigeru
Department Of Chemical Science And Technology Kobe University
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