Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator

• DOI: 10.1016/j.cam.2014.02.009
• Publication Date: 2014-02-28T09:33:06Z
• Authors: F. Mach; L. Adam; J. Kacerovský; P. Karban; I. Doležel
• Keywords: Separator (oil production); Adaptive simulated annealing

Abstract 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.