Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator

0439896 - ÚT 2015 RIV NL eng J - Článek v odborném periodiku
Mach, F. - Adam, L. - Kacerovský, J. - Karban, P. - Doležel, Ivo
Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator.
Journal of Computational and Applied Mathematics. Roč. 270, November (2014), s. 134-142. ISSN 0377-0427. E-ISSN 1879-1778
Grant CEP: GA ČR(CZ) GAP102/11/0498
Institucionální podpora: RVO:61388998
Klíčová slova: separation processes * triboelectricity * particle separators
Kód oboru RIV: JA - Elektronika a optoelektronika, elektrotechnika
Impakt faktor: 1.266, rok: 2014

A device for electrostatic separation of triboelectrically charged plastic particles is modeled and optimized. Electric field in the system is solved numerically by a fully adaptive higher-order finite element method. The movement of particles in the device is determined by an adaptive Runge–Kutta–Fehlberg algorithm. The shape optimization of the electrodes is carried out by a technique based on genetic algorithm NSGA-II and also on simulated annealing.
Trvalý link: http://hdl.handle.net/11104/0243128