文献类型：期刊文献

英文题名：Air acceleration classification for the enhancement of spent catalyst activity classification

作者：Fu, Pengbo[1];Fang, Yilin[1];Ma, Liang[1];Jiang, Xia[2];Liu, Yi[1];Lv, Wenjie[1];Huang, Yuan[1];Wang, Lu[1];Li, Jianping[1];Wang, Hualin[1]

机构：[1]East China Univ Sci & Technol, State Environm Protect Key Lab Environm Risk Asse, 130 Meilong Rd, Shanghai 200237, Peoples R China;[2]Sichuan Univ, Natl Engn Res Ctr Flue Gas Desulfurizat, Chengdu 610065, Sichuan, Peoples R China

年份：2019

卷号：223

起止页码：31

外文期刊名：SEPARATION AND PURIFICATION TECHNOLOGY

收录：;EI(收录号：20191706824948);WOS:【SCI-EXPANDED(收录号:WOS:000472697400005)】；

基金：This work was supported by the sponsorship of the National Science Foundation for Distinguished Young Scholars of China (51125032), the sponsorship of the National Key Research and Development Program of China (2016YFC0204500), and the National Natural Science Foundation of China (51608203).

语种：英文

外文关键词：Air acceleration classification; Spent catalyst; Catalyst recycling; Catalyst classification

摘要：The consumption of industrial catalysts is up to nearly one million tons/year, resulting in a large amount of spent catalysts. Classifying and recycling highly active catalysts from spent catalysts reduces not only hazardous waste emissions, but also fresh catalyst consumption. In this study, a novel air acceleration classification was developed for the enhancement of spent catalyst activity classification. A theoretical equation for catalyst classification was built in accordance with the relationship between the catalyst activity and density. The optimal operating regions for the classification of different active catalysts (with catalytic activities of 0%, 25%, 50%, 75% and 100%) were obtained by theoretical calculations and experimental verification. The movement regular of different active catalysts in an air acceleration classifier was studied in detail for the enhancement of the classification. The influence of the particle shape and size on the classification was also studied, and the maximum classification efficiency reached 85.6%, thus verifying the feasibility of air acceleration classification for the enhancement of spent catalyst activity classification. This study not only benefits the activity classification of discharged catalyst in refinery industries but also serve as a useful guide for the classification enhancement of fine particles in other fields.