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基于圖像識別的微細粒子靜電捕集效率評價方法

發(fā)布時間:2018-01-14 13:28

  本文關鍵詞:基于圖像識別的微細粒子靜電捕集效率評價方法 出處:《高電壓技術》2016年05期  論文類型:期刊論文


  更多相關文章: 電除塵器 圖像識別 粒子荷電 捕集效率 供電形式


【摘要】:通過采集并分析電除塵器內部流場和粒子分布動態(tài)和靜態(tài)圖像的方法,對微細粒子捕集效率進行評價。實驗電除塵器箱體采用有機玻璃材質,放電極為芒刺型,測試粒子源為人工煙氣,煙氣入口流速為0.4 m/s。實驗中對放電極分別施加直流和脈沖高電壓,采集相應流場變化的圖像和電除塵器入風口與出風口粒子分布的圖像進行處理和分析。實驗結果表明:提出的動靜態(tài)圖像處理方法能夠實時、有效地實現微細粒子觀測和荷電狀態(tài)評價。直流供電下,流場在電壓升至 8 kV開始呈現漩渦變化;而施加脈沖高壓時,峰值電壓達到 30 kV時產生漩渦。電壓在 22 kV以下時,直流供電粒子捕集效率較高;電壓超過 22 kV后,脈沖供電粒子捕集效率高于直流,最終捕集效率可達91.23%。
[Abstract]:By collecting and analyzing the dynamic and static images of the flow field and particle distribution in the electrostatic precipitator, the collection efficiency of fine particles is evaluated. The chamber of the experimental electrostatic precipitator is made of plexiglass, and the discharge is extremely burr. The particle source is artificial smoke, and the flue gas inlet velocity is 0.4 m / s. In the experiment, DC and pulse high voltage are applied to the discharge electrode, respectively. The images of the corresponding flow field changes and the distribution of particles in the air inlet and outlet of the electrostatic precipitator are processed and analyzed. The experimental results show that the proposed dynamic and static image processing method can be used in real time. The micro-particle observation and charge state evaluation are realized effectively. Under DC power supply, the flow field begins to appear whirlpool change when the voltage rises to 8 kV. When the peak voltage reaches 30 kV and the voltage is below 22 kV, the particle trapping efficiency of DC power supply is higher. When the voltage exceeds 22 kV, the particle trapping efficiency of pulse supply is higher than that of DC, and the final trapping efficiency can reach 91.23.
【作者單位】: 大連理工大學電氣工程學院;
【基金】:國家國際科技合作專項(2014DFR50880)~~
【分類號】:X701.2;TP391.41
【正文快照】: 0引言1電除塵器作為一種高效的除塵設備,被廣泛應用于大氣顆粒物的控制中。然而,由于粒子荷電機理等原因,使得電除塵器針對微細粒子(平均粒徑10μm)的捕集效率很低[1-4]。因此很多研究者采用不同供電形式來提高粒子捕集率[5-7]。放電極施加高電壓時,電離氣體中的帶電粒子在外,

本文編號:1423778

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