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Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator

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    0439896 - ÚT 2015 RIV NL eng J - Journal Article
    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
    R&D Projects: GA ČR(CZ) GAP102/11/0498
    Institutional support: RVO:61388998
    Keywords : separation processes * triboelectricity * particle separators
    Subject RIV: JA - Electronics ; Optoelectronics, Electrical Engineering
    Impact factor: 1.266, year: 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.
    Permanent Link: http://hdl.handle.net/11104/0243128

     
     
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