Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

卷:270

Article; Proceedings Paper

Mach, F.¹  Adam, L.¹  Kacerovsky, J.¹  Karban, P.¹  Dolezel, I.² 

[1] Univ W Bohemia, Fac Elect Engn, Plzen 30614, Czech Republic

[2] Acad Sci Czech Republic, Inst Thermomech, Prague 18200 8, Czech Republic

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

DOI  :  10.1016/j.cam.2014.02.009

来源: Elsevier

【 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.

【 授权许可】

Free