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Volume 118
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Electric-field and flow-induced particle collection enhancement in a two-stage electrostatic precipitator with wavy collecting plates
Young Min Seo a b, Ho Yeon Choi c, Yong Gap Park d *
a Hydrogen Electric Research Team, Korea Electrotechnology Research Institute, Changwon, 51543, South Korea
b Electric Energy & Materials Engineering, University of Science and Technology (UST), Daejeon, 34129, South Korea
c LG Electronics H&A Air Solution R&D Center, Changwon, 51140, South Korea
d School of Mechanical Engineering, Changwon National University, Changwon, 51140, South Korea
10.1016/j.partic.2026.09.011
Volume 118, November 2026, Pages 416-431
Received 16 June 2026, Revised 11 September 2026, Accepted 16 September 2026, Available online 17 September 2026, Version of Record 25 September 2026.
E-mail: pyg777@changwon.ac.kr
Highlights

• Wavy collecting plates alter electric field and flow in a two-stage ESP.

• Larger wave amplitude enhances particle migration and collection efficiency.

• Plate wavelength affects local fields with limited impact on efficiency.

• An ANN model accurately predicts collection efficiency.

• The combined numerical–ANN approach supports ESP performance optimization.


Abstract

In this study, the effects of wavy collecting plate geometry on the performance of a two-stage electrostatic precipitator were numerically investigated. The results showed that variations in plate wavelength primarily affected the local electric field and flow structures, whereas increasing the wave amplitude significantly enhanced particle collection by strengthening the electric field and promoting transverse particle migration. The volumetric flow rate was also identified as a dominant parameter because lower flow rates increased particle residence time and charging, thereby enhancing collection efficiency. Among the representative configurations analyzed, the highest collection efficiency of 73.5% was obtained for TS-Wavy-E at a volumetric flow rate of 0.05 m3/s. An artificial neural network model was further developed to predict collection efficiency based on the geometric and operating parameters. The ANN showed good agreement with the numerical results and outperformed the conventional regression model within the investigated parameter range. These results demonstrate that appropriate modification of the collecting plate geometry can effectively improve particle collection performance and that the ANN provides a useful data-driven representation of the numerical results for two-stage ESP design.


Graphical abstract
Keywords
Two-stage; Electrostatic precipitator; Collecting plate shapes; Artificial neural networks; Collection efficiency
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