ENVIRONMENTAL ENGINEERING SCIENCE
Volume 23, Number 4, 2006
© Mary Ann Liebert, Inc.
Determination of Optimum Body Diameter of Air Cyclones
Using a New Empirical Model and
a Neural Network Approach
Kaan Yetilmezsoy*
Yildiz Technical University
Faculty of Civil Engineering
Department of Environmental Engineering
34349, Yildiz, Besiktas, Istanbul, Turkey
ABSTRACT
This paper presents a new empirical model and a two-layer neural network approach for the determina-
tion of optimum body diameter (OBD) of air cyclones. OBD values were calculated by help of a
MATLAB
®
algorithm for 505 different artificial scenarios given in a wide range of five main operating
variables. The predicted results obtained from each proposed approach were compared with the well-
known Kalen and Zenz’s model. The computational analysis showed that the empirical model and neural
network outputs obviously agreed with the Kalen and Zenz’s model, and all the predictions proved to be
satisfactory, with a correlation coefficient of about 0.9998 and 1, respectively. The maximum diameter
deviations from Kalen and Zenz’s model were recorded as only 1.3 cm and 0.0022 cm for the pro-
posed model and NN outputs, respectively. In addition to proposed approaches, the pressure drop prob-
lem was controlled using a MATLAB
®
algorithm, and results were obtained rapidly and practically for
varying data used in the cyclone design.
Key words: cyclone separators; optimum body diameter; neural network; Kalen and Zenz’s model; pres-
sure drop; MATLAB
®
*Corresponding author: Yildiz Technical University, Faculty of Civil Engineering, Department of Environmental Engineering,
34349, Yildiz, Besiktas, Istanbul, Turkey. Phone: +90 212 259 7070 (2730); Fax: +90 212 261 90 41; E-mail:
yetilmez@yildiz.edu.tr
INTRODUCTION
T
HE SEPARATION of solid particles from the waste air
streams is required in many industrial processes. For
this purpose, cyclone separators are widely used as the
most common devices. Conventionally, cyclone separa-
tors have been used as precleaning devices for the re-
moval of particles bigger than 10 m from the carrier
gas in both air pollution control and other processes. Be-
cause of their adaptability, simple design and low costs
in terms of maintenance, construction, and operation
make cyclones ideal for use in the various stages of in-
dustrial applications (Yang and Yoshida, 2004). Cyclones
are also used as bio-aerosol samplers in air quality ap-
plications and hospitals in addition to chemical, metal-
lurgical, and petroleum industries (Pant et al., 2002). In
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