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超细颗粒物超声波团聚的影响因素
引用本文:康豫博,朱益佳,蔺锋,张武高.超细颗粒物超声波团聚的影响因素[J].上海交通大学学报,2016,50(4):551-556.
作者姓名:康豫博  朱益佳  蔺锋  张武高
作者单位:(上海交通大学 动力机械与工程教育部重点实验室, 上海 200240)
基金项目:国家自然科学基金项目(51376118);清华大学汽车安全与节能国家重点实验室开放基金项目(KF14021)资助
摘    要:搭建了声波团聚模拟试验台架,选取中高声强的超声波作为声源,以燃烧产生的气溶胶模拟发动机的排气颗粒,利用扫描电迁移率颗粒物粒径谱仪测量了初始颗粒物参数以及团聚时间对声波团聚效率的影响.结果表明:该试验条件下,频率20kHz的声波对粒径10~487nm的颗粒具有团聚作用;声波作用时间延长,颗粒团聚效率提高,18s是该研究条件下比较理想的团聚时间;初始颗粒物浓度峰值对应的粒径越大,声波团聚效率越高,最高团聚效率能达到82.4%;初始颗粒数浓度越高,声波团聚效率越高,最高团聚效率在初始颗粒物峰值浓度粒径附近取得.

关 键 词:超细颗粒    超声波团聚    颗粒浓度    
收稿时间:2015-03-26

Influencing Factors of Acoustic Agglomeration of Ultrafine Particles
KANG Yubo;ZHU Yijia;LIN Feng;ZHANG Wugao.Influencing Factors of Acoustic Agglomeration of Ultrafine Particles[J].Journal of Shanghai Jiaotong University,2016,50(4):551-556.
Authors:KANG Yubo;ZHU Yijia;LIN Feng;ZHANG Wugao
Institution:(Key Laboratory for Power Machinery and Engineering of the Ministry of Education, Shanghai Jiaotong University, Shanghai 200240)
Abstract:Abstract: A small scaled acoustic agglomeration test bench was built. Chosing the high intensity ultrasound as the sound source, selecting the aerosol with large amount of ultrafine particles which were produced by combustion as research objects, and using SMPS to measure the number of particles, the influence of initial particles parameters and the acoustic agglomeration periods on the agglomeration efficiency was studied. The results show that the acoustic wave of 20 kHz has some effect on the particles whose diameter range from 10 nm to 487 nm. Within the measuring range, a higher acoustic agglomeration efficiency can be obtained if the acoustic agglomeration acting period is longer. Besides, 18 seconds is an ideal duration under the test condition. If the initial particle diameter in peak concentrations is bigger, the acoustic agglomeration efficiency will be improved with a maximum of 82.4%.The acoustic agglomeration efficiency also has a positive correlation with initial particle concentration. The particles with a diameter in peak concentration often have a better agglomeration efficiency.
Keywords:Key words: ultrafine particle  acoustic agglomeration  particle concentration  
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