文献类型：期刊文献

中文题名：Artificial intelligence-motivated in-situ imaging for visualization investigation of submicron particles deposition in electric-flow coupled fields

作者：Shanlong Tao[1,2];Xiaoyong Yang[1];Wei Yin[1];Yong Zhu[1]

机构：[1]School of Mechanical and Power Engineering,East China University of Science and Technology,Shanghai 200237,China;[2]Research Center for Combustion and Environmental Technology,School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China

年份：2024

卷号：74

期号：10

起止页码：13

中文期刊名：Chinese Journal of Chemical Engineering

外文期刊名：中国化学工程学报（英文版）

收录：CSTPCD;;Scopus;CSCD:【CSCD2023_2024】；PubMed;

基金：supported by the National Natural Science Foundation of China(52200130,22308100).

语种：英文

中文关键词：Artificial intelligence;In-situ imaging;Submicron particles;Lab-on-a-chip;Deposition

摘要：This study delves into the intricate deposition dynamics of submicron particles within electric-flow coupled fields,underscoring the unique challenges posed by their minuscule size,aggregation tendencies,and biological reactivity.Employing an operando investigation system that synergizes microfluidic technology with advanced micro-visualization techniques within a lab-on-a-chip framework enables a meticulous examination of the dynamic deposition phenomena.The incorporation of object detection and deep learning methodologies in image processing streamlines the automatic identification and swift extraction of crucial data,effectively tackling the complexities associated with capturing and mitigating these hazardous particles.Combined with the analysis of the growth behavior of particle chain under different applied voltages,it established that a linear relationship exists between the applied voltage and θ.And there is a negative correlation between the average particle chain length and electric field strength at the collection electrode surface(4.2×10^(5)to 1.6×10^(6)V·m^(-1)).The morphology of the deposited particle agglomerate at different electric field strengths is proposed:dendritic agglomerate,long chain agglomerate,and short chain agglomerate.