| Article ID: | iaor20141786 |
| Volume: | 270 |
| Issue: | 6 |
| Start Page Number: | 134 |
| End Page Number: | 142 |
| Publication Date: | Nov 2014 |
| Journal: | Journal of Computational and Applied Mathematics |
| Authors: | Mach F, Adam L, Kacerovsk J, Karban P, Doleel I |
| Keywords: | programming: multiple criteria, simulation, optimization: simulated annealing |
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.