Electrode configuration optimization for maximizing throughput of dielectrophoretic particle separator

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Publicado en:Journal of Mechanical Science and Technology vol. 31, no. 12 (Dec 2017), p. 5951
Autor principal: Kim, Dongjin
Otros Autores: Kim Yiseul, Lee, Dongkyu, Kim, Byungkyu, Lee, Jaewook
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Springer Nature B.V.
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024 7 |a 10.1007/s12206-017-1139-4  |2 doi 
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100 1 |a Kim, Dongjin  |u Korea Aerospace University, School of Aerospace and Mechanical Engineering, Goyang, Korea (GRID:grid.440941.c) (ISNI:0000 0000 9881 3149); Gwangju Institute of Science and Technology (GIST), School of Mechanical Engineering, Gwangju, Korea (GRID:grid.61221.36) (ISNI:0000 0001 1033 9831) 
245 1 |a Electrode configuration optimization for maximizing throughput of dielectrophoretic particle separator 
260 |b Springer Nature B.V.  |c Dec 2017 
513 |a Journal Article 
520 3 |a In this paper, a Dielectrophoretic (DEP) particle separation device is optimized with the purpose of maximizing a separation throughput. The DEP separation device is composed of a flow channel with electrodes where particles suspended in a flowing medium are separated using the DEP phenomenon; namely, the force exerted on a polarized particle under a non-uniform electric field. Here, the electrode configuration of the device is optimized to overcome low separation throughput that is a main weak point of the DEP device. More specifically, the length and location of positive and negative electrode pieces are optimized for two objectives: The maximization of medium outlet speed and minimization of applied voltage strength. The higher medium speed raises separation throughput, and the lower voltage strength alleviates particle damage. Particle trajectory is calculated by applying a particle dynamics simulation incorporating electric field and fluid analyses. The calculated outlet location of a particle is confined inside the desired region to ensure the success of particle separation. The formulated constrained multi-objective optimization problem is solved using the Non-dominated sorting genetic algorithm II (NSGA-II). The irregularly distributed electrode arrays are obtained as design results, and performances of benchmark and optimized designs are compared. The comparison result shows that 294 % higher throughput can be achieved by optimized irregular electrode array distribution. 
653 |a Mathematical analysis 
653 |a Classification 
653 |a Genetic algorithms 
653 |a Electrodes 
653 |a Dielectrophoresis 
653 |a Electric potential 
653 |a Separation 
653 |a Electric fields 
653 |a Optimization 
653 |a Particle trajectories 
653 |a Maximization 
653 |a Multiple objective analysis 
653 |a Sorting algorithms 
653 |a Configurations 
653 |a Computer simulation 
700 1 |a Kim Yiseul  |u Korea Aerospace University, School of Aerospace and Mechanical Engineering, Goyang, Korea (GRID:grid.440941.c) (ISNI:0000 0000 9881 3149) 
700 1 |a Lee, Dongkyu  |u Korea Aerospace University, School of Aerospace and Mechanical Engineering, Goyang, Korea (GRID:grid.440941.c) (ISNI:0000 0000 9881 3149) 
700 1 |a Kim, Byungkyu  |u Korea Aerospace University, School of Aerospace and Mechanical Engineering, Goyang, Korea (GRID:grid.440941.c) (ISNI:0000 0000 9881 3149) 
700 1 |a Lee, Jaewook  |u Gwangju Institute of Science and Technology (GIST), School of Mechanical Engineering, Gwangju, Korea (GRID:grid.61221.36) (ISNI:0000 0001 1033 9831) 
773 0 |t Journal of Mechanical Science and Technology  |g vol. 31, no. 12 (Dec 2017), p. 5951 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2001517777/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2001517777/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch