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Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator

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    SYSNO ASEP0439896
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleEvolutionary 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) RID
    Source TitleJournal of Computational and Applied Mathematics. - : Elsevier - ISSN 0377-0427
    Roč. 270, November (2014), s. 134-142
    Number of pages9 s.
    Publication formPrint - P
    Languageeng - English
    CountryNL - Netherlands
    Keywordsseparation processes ; triboelectricity ; particle separators
    Subject RIVJA - Electronics ; Optoelectronics, Electrical Engineering
    R&D ProjectsGAP102/11/0498 GA ČR - Czech Science Foundation (CSF)
    Institutional supportUT-L - RVO:61388998
    UT WOS000337660100014
    DOI10.1016/j.cam.2014.02.009
    AnnotationA 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.
    WorkplaceInstitute of Thermomechanics
    ContactMarie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823
    Year of Publishing2015
Number of the records: 1  

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