4.7 Article

Minimum spouting velocity of binary mixture with non-spherical particles

期刊

ADVANCED POWDER TECHNOLOGY
卷 33, 期 3, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.apt.2022.103448

关键词

Gas-solid flows; Non-spherical particles; Minimum spouting velocity; Spouted bed; Mixing

资金

  1. National Natural Science Foun-dation of China (NSFC) [52006034]
  2. Natural Science Foundation of Jiangsu Province [BK20180386]

向作者/读者索取更多资源

In this study, the influences of diverse factors on the minimum spouting velocity (U-ms) of a binary system in a cylindrical-conical spouted bed were investigated. The results showed that U-ms was closely related to the particle properties, operating conditions, and blending ratio of the mixture. A novel empirical correlation was proposed to quantitatively predict U-ms in binary mixtures.
The minimum spouting velocity, U-ms, defined for stable external spouting, is found also crucial to ensure good mixing when multi-component particles are involved in spouted beds. In this study, experiments were performed in a cylindrical-conical spouted bed to study the influences of diverse factors on the U-ms of a binary system with the cylindrical particles and the spherical bed material. The results showed that the changes in U-ms with the particle properties (particle shape, size, and density) and operating conditions were closely related to the blending ratio of the mixture. When the volume fraction of the non-spherical particles was relatively small (less than 40% to 50%), U-ms mainly depended on the properties of the bed material. It was considered acceptable to estimate U-ms by assuming that the system only consisted of the spherical bed material. Otherwise, the cylindrical particle shape has a significant influence on the flow dynamics and U-ms. For such spouting systems, an equivalent diameter of the bed material was proposed to reflect the shape effects of non-spherical particles, whereby U-ms would be independent of the blending ratio. Consequently, a novel empirical correlation is proposed to quantitatively predict the U-ms of binary mixtures. (c) 2022 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. All rights reserved.

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