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Particle and Aerosol Research
Vol. 22, No. 1, March 2026, Pages 39-48
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ISSN : 1738-8716 (Print)
ISSN : 2287-8130 (Online)
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A Study on the Prediction of Cut Diameter According to Design parameters of an Axial flow Cyclone
Yonghwan Lee1),2), Eunjung Kim1),Jieun Heo1),Jungho Hwang2) *, Yun-Haeng Joe1)*
1)Climate Change Research Division, Korea Institute of Energy Research
2)Graduate School of Mechanical Engineering, Yonsei University
*Corresponding author.
Tel.: +82-42-860-3636, E-mail: yhjoe@kier.re.kr
Received 17 October 2025, Revised 24 February 2026, Accepted 07 March 2026, Available online 31 March 2026
http://dx.doi.org/10.11629/jpaar.2026.22.1.039
Abstracts
In this study, a cut diameter prediction equation based on the design parameters of an axial flow cyclone was derived by modifying the conventional correlation for a tangential flow cyclone. Among the parameters of the cut diameter prediction equation for a tangential flow cyclone, the effective number of turns and the inlet width, which are difficult to define for the geometry of an axial flow cyclone, were formulated in terms of the design parameters of the axial flow cyclone. Experiments were conducted by varying five design parameters, the vane angle of the swirl generator, the body length of the cyclone, the flow rate of the working fluid, the effective swirl length, and the diameter of the vortex finder, and statistical analysis was performed to compare the cut diameters obtained from the experiments with those calculated using the developed model. The coefficient of determination (R©÷) and the mean absolute percentage error (MAPE) of the cut diameter calculated using the developed model were 0.83 and 4.82%, respectively, indicating high prediction accuracy and reliability. In addition, the model exhibited a low bias of +0.25%, suggesting minimal systematic error, and a concordance correlation coefficient (CCC) of 0.911, confirming the excellent agreement between the model and the experimental results.
Keywords
Axial flow cyclone, Collection efficiency, Design variable, Experimental equation