摘要：The structural properties of the dust layer, including its thickness, porosity, and particle size distribution, play a critical role in ensuring the high precision and long-term stability of filter elements. However, observing these properties is challenging due to the weak adherence and cohesiveness of the layer. To address this issue, atomization thermosetting glue was used to achieve pre-curing, and the entire dust layer was cured with epoxy resin. After the sample was frozen and fractured using liquid nitrogen, the boundaries of the dust particles became plainly visible. Traditional binarization techniques were insufficient in identifying the edges of the dust particles since the grayscale values of particles and their environment partially overlap. As a result, a deep learning model based on the DeeplabV3+ network architecture was used to identify particles in the dust layer and achieved an accuracy of 90.99%. The research reveals that pulse-jet cleaning can double the thickness of the local dust layer on adjacent filter elements. Additionally, the surface morphology of the filter element significantly impacts the shape and thickness of the dust layer, causing it to change dramatically. Uneven thickness of the dust layer can result in a higher number of dust particles passing through the filter element membrane.

关键字：Filtration; Ceramic Filter; Dust Layer; Curing; Semantic Segmentation

ISSN号：0256-1115

卷、期、页：卷40期2023：2271-2281

发表日期：2023-12-01

影响因子：0.000000

期刊分区（SCI为中科院分区）：四区

收录情况：SCI（科学引文索引印刷版）,SCIE（科学引文索引网络版）

发表期刊名称：KOREAN JOURNAL OF CHEMICAL ENGINEERING

通讯作者：李宾,牟俊峰,任昱霖

第一作者：姬忠礼,刘震

论文类型：期刊论文

论文概要：李宾,姬忠礼,牟俊峰,任昱霖,刘震，Experimental study of cured dust layer structure parameters based on semantic segmentation，KOREAN JOURNAL OF CHEMICAL ENGINEERING，2023，卷40期2023：2271-2281

论文题目：Experimental study of cured dust layer structure parameters based on semantic segmentation