Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator

• Autores: F. Mach, L. Adam, J. Kacerovsky, Pavel Karban, Ivo Dolezel
• Localización: Journal of computational and applied mathematics, ISSN 0377-0427, Vol. 270, Nº 1, 2014, págs. 134-142
• Idioma: inglés
• DOI: 10.1016/j.cam.2014.02.009
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• Resumen

  • 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 higherorder 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.