Pareto optimum design of cyclone separator

Author

Alitavoli, M. ; Mahmoodabadi, M.J. ; Sahnehsaraei, M. Andalib ; Bagheri, A.

Author_Institution

Dept. of Mech. Eng., Islamic Azad Univ., Bandar, Iran

fYear

2012

fDate

2-4 July 2012

Firstpage

1

Lastpage

5

Abstract

In this paper, in order to Pareto design of cyclone separators, pressure drop and collection efficiency Δp and η in a set of cyclones are numerically investigated using Computational Fluid Dynamic (CFD) techniques. Then, the neural network is used to obtain polynomial models for the effects of geometrical parameters of the cyclones on both the pressure drop and the collection efficiency. The obtained simple polynomial models are used to find the best possible combinations of the pressure drop and collection efficiency, known as the Pareto front based on a novel multi-objective algorithm.

Keywords

Pareto optimisation; computational fluid dynamics; cyclone separators; design engineering; flow separation; mechanical engineering computing; neural nets; polynomials; CFD techniques; Pareto front; Pareto optimum design; collection efficiency; computational fluid dynamics; cyclone separator; multiobjective optimisation; neural network; numerical analysis; polynomial models; pressure drop; Computational fluid dynamics; Cyclones; Data models; Mathematical model; Neural networks; Optimization; Particle separators; GMDH; Gas-solid; Multi-objective optimization; Particle swarm optimization; Two-phase Flow;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on

Conference_Location

Trabzon

Print_ISBN

978-1-4673-1446-6

Type

conf

DOI

10.1109/INISTA.2012.6247039

Filename

6247039