Jangseop Han1, Joohee Seo1, Dongho Park2, Junho Hyun3, Jungho Hwang 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  

{xpdfattach}


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


HIGHLIGHTS

  • 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.

ABSTRACT


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.

 



Don't forget to share this article 

 

Subscribe to our Newsletter 

Aerosol and Air Quality Research has published over 2,000 peer-reviewed articles. Enter your email address to receive latest updates and research articles to your inbox every second week.

Latest coronavirus research from Aerosol and Air Quality Research

2018 Impact Factor: 2.735

5-Year Impact Factor: 2.827


SCImago Journal & Country Rank