Evolutionary algorithm-based multi-criteria optimization of triboelectrostatic separator
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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.
论文关键词：Separation processes,Triboelectricity,Particle separators,Finite element methods,Optimization,Evolutionary algorithms
论文评审过程：Received 7 January 2014, Revised 4 February 2014, Available online 28 February 2014.
论文官网地址：https://doi.org/10.1016/j.cam.2014.02.009
