Viscosity Prediction of Dense Slurries Prepared by Non-Spherical Solid Particles
Viscosity Prediction of Dense Slurries Prepared by Non-Spherical Solid Particles
复制标题
非球形固体颗粒制备的稠密浆料的粘度预测
DOI：
10.1252/jcej.34.360
复制
发表时间：
2001
影响因子：
0.8
通讯作者：
Hiroshi Suzuki
中科院分区：
文献类型：
--
作者：
H. Usui;Lei Li;S. Kinoshita;Hiroshi Suzuki
非球形颗粒最大堆积体积分数的预测一直是粉体技术中的重要问题之一。利用图像处理仪器测量了球度与颗粒直径的关系。提出了一种预测非球形颗粒最大堆积体积分数的算法。在分散良好的条件下，用最大填料体积分数来预测浆液粘度。为此，对粒径分布较宽的浓浆采用Simha细胞模型。同时，将Usui建立的集料浆模型应用于密粉煤灰水浆的非牛顿黏度预测。证明了非球形颗粒的最大填料体积分数可以成功地用于料浆粘度的预测，间接说明了本研究确定的最大填料体积分数是合理的。
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.