化工进展 ›› 2015, Vol. 34 ›› Issue (3): 680-683,694.DOI: 10.16085/j.issn.1000-6613.2015.03.013

• 化工过程与装备 • 上一篇    下一篇

错流旋转填料床脱除细颗粒物研究

付加1,2, 祁贵生1,2, 刘有智1,2, 田建勋1,2, 郭强1,2, 董梅英1,2   

  1. 1. 中北大学山西省超重力化工工程技术研究中心, 山西 太原 030051;
    2. 超重力化工过程山西省重点实验室, 山西 太原 030051
  • 收稿日期:2014-07-03 修回日期:2014-08-22 出版日期:2015-03-05 发布日期:2015-03-05
  • 通讯作者: 祁贵生,副教授,硕士生导师,研究内容为超重力化工过程强化技术开发及应用于推广工作。E-mail:zbdxqgs@126.com。
  • 作者简介:付加(1988-),女,硕士研究生,研究内容为超重力湿法除尘技术。
  • 基金资助:

    国家自然科学基金(21376229)及山西省科技攻关计划(工业)(20130321035-02)项目

Research on removal of fine particles by cross-flow rotating packed bed

FU Jia1,2, Qi Guisheng1,2, LIU Youzhi1,2, TIAN Jianxun1,2, GUO Qiang1,2, Dong Meiying1,2   

  1. 1. Research Center of Shanxi Province for High Gravity Chemical Engineering and Technology, North University of China, Taiyuan 030051, Shanxi, China;
    2. Shanxi Province Key Laboratory of Higee-Oriented Chemical Engineering, Taiyuan 030051, Shanxi, China
  • Received:2014-07-03 Revised:2014-08-22 Online:2015-03-05 Published:2015-03-05

摘要: 细颗粒物对环境和人体都会产生较大危害, 传统除尘设备无法高效脱除。超重力旋转填料床复合了多种除尘机制, 除尘效率高, 能耗低。本文采用平均粒径为2.25μm的粉煤灰模拟细颗粒物, 错流旋转填料床为湿式除尘设备, 搭建了中试规模的实验系统。提出了使用激光粒度分析仪测量粉尘粒度分布并计算分级效率的方法, 通过实验考察了转速、液气比和气量对错流旋转填料床分级效率的影响。研究表明, 分级效率随转速、液气比、气量的增大而增大, PM2.5的脱除效率可达到96%, 为超重力湿法除尘的工业化推广提供有力的数据支撑。对分级效率曲线进行拟合, 相关系数R=0.9808。对比发现, 错流旋转填料床的分级效率高于一般湿式除尘器, 对微米级粉尘也有很高的脱除率, 可以高效脱除气体中的细颗粒物, 应用前景广阔。

关键词: 关键词:错流旋转填料床, 细颗粒物, 分离, 分级效率, 粒度分布, 错流旋转填料床, 细颗粒物, 分离, 分级效率, 粒度分布

Abstract: Fine particles are dangerous to environment and mankind, and could not be removed by common dust separator. The rotating packed bed combines various dust removal mechanisms, and has high collection efficiency and low power consumption. A pilot-scale system was set up by using fly ash with average particle size of 2.25μm as fine particles and cross-flow rotating packed bed as wet scrubber in this paper. A method of measuring particle size distribution of dust and calculating the classification efficiency using Mastersizer was proposed. The system was investigated at different rotating speeds, liquid-gas ratios, and gas flowrates. Classification efficiency increased with increasing rotating speed and liquid-gas ratio, and removal efficiency could be up to 96%. These data provided strong support to industrialization of high gravity wet cleaning. Results of fitted regression of classification efficiency showed that correlation coefficient R was 0.9808. Classification efficiency of cross-flow rotating packed bed was higher than common wet dust collector and impact of particle size was less. Cross-flow rotating packed bed can be used to remove fine particles in gas and has broad application prospect.

Key words: Keywords: cross-flow rotating packed bed, fine particles, separation, classification efficiency, particle size distribution, cross-flow rotating packed bed, fine particles, separation, classification efficiency, particle size distribution

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