Jangseop Han1, Joohee Seo1, Dongho Park2, Junho Hyun3, Jungho Hwang This email address is being protected from spambots. You need JavaScript enabled to view it.1,3

Department of Mechanical Engineering, Yonsei University, Seoul 03722, Korea
Department Korea Institute of Industrial Technology (KITECH), Chungcheongnam-do 31056, Korea
Graduate program of Clean Technology, Yonsei University, Seoul 03722, Korea


Received: November 11, 2017
Revised: February 17, 2018
Accepted: February 25, 2018
Download Citation: ||https://doi.org/10.4209/aaqr.2017.11.0471  

Cite this article:

Han, J., Seo, J., Park, D., Hyun, J. and Hwang, J. (2018). Design and Performance Evaluation of a Laboratory-made 200 nm Precut Electrical Cascade Impactor. Aerosol Air Qual. Res. 18: 1118-1130. https://doi.org/10.4209/aaqr.2017.11.0471


  • An electrical cascade impactor (ECI) was designed and fabricated.
  • The particles captured at each stage was assumed as a log normal distribution.
  • Via data inversion algorithm, any size distribution could be obtained.
  • The results obtained by ECI were similar with those of SMPS.


Increasing public concern regarding air quality has led to the development of efficient aerosol-monitoring techniques. Among the various aerosol measurement instruments based on electrical methods, in this study, an electrical cascade impactor (ECI) was designed and fabricated in our laboratory and was used to measure the real-time size distribution of submicron-sized aerosols. In the study by Park et al. (2007), it was assumed that the size distribution of incoming particles follows a unimodal lognormal distribution. However, in this study, the distribution of particles captured at each stage (including the Faraday cage) was assumed to be a unimodal lognormal distribution; hence, the incoming particles may follow any size distribution. After the particle charging characteristics were obtained for different particle sizes, experiments were performed with monodisperse test particles to determine the collection efficiency of each stage. The current measured in each stage was converted into a number based size distribution of aerosols by using the data inversion algorithm, which utilized the experimentally obtained collection efficiency. Then, a performance evaluation was performed, both in the laboratory and in the field. The results obtained by our ECI were in agreement with the scanning mobility particle sizer (SMPS) data.

Keywords: Electrical cascade impactor; Submicron-sized aerosols; Corona charger; Data inversion algorithm; Particle size distribution.


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