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树枝型喷嘴的除尘性能分析

Analysis of the dust cleaning performance of a branch-type nozzle.

作者信息

Yong Zhang, Chuoxi Liang, Shiyang Ye, Guoquan Xiao

机构信息

School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China.

出版信息

Sci Prog. 2024 Oct-Dec;107(4):368504241290661. doi: 10.1177/00368504241290661.

DOI:10.1177/00368504241290661
PMID:39445355
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11526397/
Abstract

To solve the problem of uneven dust cleaning in filter cartridges, a simple and easy-to-install "branch-type" nozzle structure was designed to improve cleaning efficiency. In this study, numerical simulations, range analysis methods, orthogonal experimental design, back-blowing experiments, and powder cleaning experiments were conducted. By choosing the back-blowing uniformity as the evaluation index for cleaning performance, with the flow distribution coefficient , length of branch pipe , and outlet diameter of main pipe as the factors, and ignoring the interaction between factors, an orthogonal experiment was designed to simulate the fluid flow field of nine different nozzle structures installed in the back-blowing model. The results were analyzed using range analysis methods, and the optimal nozzle structure parameter combination was determined to be = 50%/40%/10%, = 70 mm, and = 18 mm. Based on the back-blowing experiment, the accuracy of the simulation results was verified, and the back-blowing uniformity was improved by 50.12%. In the powder cleaning experiment, a new method of measuring the mass of dust shaken off by a single pulse of cleaning to calculate the residual dust on the filter cartridge, rather than removing the filter cartridge and weighing it, was found to reduce experimental errors and make the conclusions more solid and convincing. The results showed that the "branch-type" nozzle increases the cleaning efficiency by 37.6% compared with no nozzle installed, proving that the "branch-type" nozzle can reduce the number of reverse cleaning required and extend the cleaning interval, thus optimizing the cleaning performance of the dust collector.

摘要

为解决滤筒清灰不均的问题,设计了一种简单易安装的“分支型”喷嘴结构以提高清灰效率。本研究进行了数值模拟、极差分析方法、正交试验设计、反吹试验和粉清灰试验。以反吹均匀性作为清灰性能的评价指标,选取流量分配系数、支管长度和主管出口直径作为因素,忽略因素间的交互作用,设计正交试验模拟安装在反吹模型中的9种不同喷嘴结构的流体流场。采用极差分析方法对结果进行分析,确定最优喷嘴结构参数组合为流量分配系数=50%/40%/10%、支管长度=70mm、主管出口直径=18mm。基于反吹试验,验证了模拟结果的准确性,反吹均匀性提高了50.12%。在粉清灰试验中,发现了一种新的测量单次清灰脉冲抖落灰尘质量以计算滤筒上残留灰尘的方法,而不是取下滤筒称重,该方法减少了实验误差,使结论更可靠、更有说服力。结果表明,与未安装喷嘴相比,“分支型”喷嘴的清灰效率提高了37.6%,证明“分支型”喷嘴可减少所需的反向清灰次数,延长清灰间隔,从而优化了除尘器的清灰性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/1f5cab7dee88/10.1177_00368504241290661-fig11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/239a54de1886/10.1177_00368504241290661-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/ccfa4bb4447e/10.1177_00368504241290661-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/7b5689594473/10.1177_00368504241290661-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/dc893447a1c6/10.1177_00368504241290661-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/68cc561eb0ea/10.1177_00368504241290661-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/fd34dff05438/10.1177_00368504241290661-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/fbb76e51f736/10.1177_00368504241290661-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/f7c32e3a4f37/10.1177_00368504241290661-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/cf201050e6df/10.1177_00368504241290661-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/1566eed37e26/10.1177_00368504241290661-fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/1f5cab7dee88/10.1177_00368504241290661-fig11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/239a54de1886/10.1177_00368504241290661-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/ccfa4bb4447e/10.1177_00368504241290661-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/7b5689594473/10.1177_00368504241290661-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/dc893447a1c6/10.1177_00368504241290661-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/68cc561eb0ea/10.1177_00368504241290661-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/fd34dff05438/10.1177_00368504241290661-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/fbb76e51f736/10.1177_00368504241290661-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/f7c32e3a4f37/10.1177_00368504241290661-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/cf201050e6df/10.1177_00368504241290661-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/1566eed37e26/10.1177_00368504241290661-fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9239/11526397/1f5cab7dee88/10.1177_00368504241290661-fig11.jpg

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