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Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator
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SYSNO ASEP 0439896 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator Author(s) Mach, F. (CZ)
Adam, L. (CZ)
Kacerovský, J. (CZ)
Karban, P. (CZ)
Doležel, Ivo (UT-L) RIDSource Title Journal of Computational and Applied Mathematics. - : Elsevier - ISSN 0377-0427
Roč. 270, November (2014), s. 134-142Number of pages 9 s. Publication form Print - P Language eng - English Country NL - Netherlands Keywords separation processes ; triboelectricity ; particle separators Subject RIV JA - Electronics ; Optoelectronics, Electrical Engineering R&D Projects GAP102/11/0498 GA ČR - Czech Science Foundation (CSF) Institutional support UT-L - RVO:61388998 UT WOS 000337660100014 DOI 10.1016/j.cam.2014.02.009 Annotation 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. Workplace Institute of Thermomechanics Contact Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Year of Publishing 2015
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