Articles | Volume 19, issue 17
https://doi.org/10.5194/amt-19-5815-2026
https://doi.org/10.5194/amt-19-5815-2026
Research article
 | 
14 Sep 2026
Research article |  | 14 Sep 2026

Performance modeling of a small mixing-type condensation particle counter

Jitong Zhou, Gehang Huang, Fajun Yu, Xiaoqi Lei, Xiujuan Wang, Huaqiao Gui, Huanqin Wang, and Da-Ren Chen

Viewed

Total article views: 2,157 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,380 596 181 2,157 135 194
  • HTML: 1,380
  • PDF: 596
  • XML: 181
  • Total: 2,157
  • BibTeX: 135
  • EndNote: 194
Views and downloads (calculated since 20 Feb 2026)
Cumulative views and downloads (calculated since 20 Feb 2026)

Viewed (geographical distribution)

Total article views: 2,157 (including HTML, PDF, and XML) Thereof 2,156 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 25 Oct 2026
Download
Short summary
A numerical model for a mixing-type condensation particle counter (MCPC) was developed to map the performance for the ultrafine particle detection by varying its operational settings . It is found that a high temperature difference increases the vapor supersaturation and lowers the activation size of particles. Both the total flow rate and the vapor-fraction affect the efficiency of particle condensation growth. This work outlines the future design guidance for small MCPCs.
Share