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气液错流阵列中基于扩散泳和热泳的细颗粒去除轨迹

Trajectory of fine particles removal with diffusiophoresis and thermophoresis in a gas-liquid cross-flow array.

作者信息

Zheng Zhijian, Chen Zhong, Xiong Guoxuan, Zhu Jiahua

机构信息

State Key Laboratory Breeding Base of Nuclear Resources and Environment, East China University of Technology Nanchang 330013 China

Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences Chongqing 400714 China.

出版信息

RSC Adv. 2019 Aug 27;9(46):26748-26756. doi: 10.1039/c9ra04436a. eCollection 2019 Aug 23.

DOI:10.1039/c9ra04436a
PMID:35528569
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9070523/
Abstract

A gas-liquid cross-flow array (GLCA) system is proposed for fine particles (diameter between 0.1 μm and 2.5 μm, simplified as PM2.5) removal in exhaust gas, where the continuous and smooth wastewater films, providing huge specific surface area, each act as independent traps to remove PM2.5. The removal efficiency of PM2.5 is important for evaluating the performance of a GLCA, and the trajectory across the films determines the migration and ultimate fate of PM2.5. An analytical model based on a single film is developed to analyze the critical removal trajectory with diffusiophoresis (DP) and thermophoresis (TP) in the thermal boundary layer to calculate the efficiency, where the role of each force is examined. And experiments with a lab-scale GLCA are carried out with different vapor concentration and temperature gradients to verify the model. They both reveal that the removal efficiency can be increase sharply by increasing the humidity gradient between the bulk gas and film surface, while it increases slowly as temperature gradient increasing. Thus DP and TP have important effects on PM2.5 removal in the GLCA, and DP has a much more important effect than TP. A GLCA with appropriate humidity and temperature gradient can remove PM2.5 in a costly and efficient manner.

摘要

本文提出了一种气液错流阵列（GLCA）系统，用于去除废气中的细颗粒物（直径在0.1μm至2.5μm之间，简化为PM2.5），其中连续且光滑的废水膜具有巨大的比表面积，每个废水膜都作为独立的捕集器来去除PM2.5。PM2.5的去除效率对于评估GLCA的性能很重要，并且穿过膜的轨迹决定了PM2.5的迁移和最终归宿。基于单个膜建立了一个分析模型，以分析热边界层中扩散泳（DP）和热泳（TP）作用下的临界去除轨迹，从而计算去除效率，并研究了每种力的作用。同时，使用实验室规模的GLCA进行了不同蒸汽浓度和温度梯度的实验，以验证该模型。两者均表明，通过增加主体气体与膜表面之间的湿度梯度，去除效率可大幅提高，而随着温度梯度的增加，去除效率增加缓慢。因此，DP和TP对GLCA中PM2.5的去除具有重要影响，且DP的影响比TP更为重要。具有适当湿度和温度梯度的GLCA能够经济高效地去除PM2.5。

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