Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator

[摘要] 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. (C) 2014 Elsevier B.V. All rights reserved.

[发布日期] 2014-11-01

[效力级别]  Proceedings Paper

[关键词] Separation processes;Triboelectricity;Particle separators;Finite element methods;Optimization;Evolutionary algorithms