Title: Enhancing selectivity of plate-type electrostatic separators using non-dominated sorting genetic algorithms (NSGA-II)

Authors: Mohamed M. Abouelsaad; Mohamed A. Abouelatta; Abdelhadi R. Salama

Addresses: Faculty of Engineering at Shoubra, Benha University, 108 Shoubra St., Cairo, Egypt ' Faculty of Engineering at Shoubra, Benha University, 108 Shoubra St., Cairo, Egypt ' Faculty of Engineering at Shoubra, Benha University, 108 Shoubra St., Cairo, Egypt

Abstract: The paper presents a novel application of non-dominated sorting genetic algorithms (NSGA-II) to optimise the performance of plate-type electrostatic separator; an environmental friendly technique for selective sorting of conductive from nonconductive constituents of a granular mixture. As several decision variables control detachment of the particles from the plate; hence the separator's selectivity, NSGA-II is applied to determine their optimal values subject to simultaneous satisfaction of two proposed objective functions. These functions aim to maximise the separation distances, while maintaining the detachment fields, for different species. A GA-optimised charge simulation algorithm was developed to enable computations of detachment fields and positions of the particles. Two extreme solutions encompassing the other Pareto results are examined and analysed. The study illustrates the applicability of NSGA-II in solving the complex multiobjective optimisation problem of electrostatic separators in order to facilitate new development and designs of this environmental friendly technology.

Keywords: evolutionary computations; multiobjective programming; non-dominated sorting genetic algorithms; NSGA-II; electrostatic separation; plate-type electrostatic separators; charge simulation; environmentally friendly technology; selective sorting; conductive constituents; nonconductive constituents; granular mixtures.

DOI: 10.1504/IJICA.2013.053180

International Journal of Innovative Computing and Applications, 2013 Vol.5 No.2, pp.102 - 114

Received: 15 May 2012
Accepted: 17 May 2012

Published online: 31 Jul 2014 *

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