| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4638730 | Journal of Computational and Applied Mathematics | 2014 | 9 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
F. Mach, L. Adam, J. Kacerovský, P. Karban, I. Doležel,