Electrostatic Separation

Dötterl, Matthias; Wachsmuth, Uwe; Waldmann, Ludger; Flachberger, Helmut; Mirkowska, Monika; Brands, Ludwig; Beier, Peter-M.; Stahl, I.

doi:10.1002/14356007.b02_20.pub2

Cited by 8 publications

(7 citation statements)

References 217 publications

(185 reference statements)

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“…These solutions look similar and can be simply interpreted: In interval [0, 2] the process is driven to a steady state which is kept with relatively constant fishing and the amount of fish in the interval [2,7]. Since the steady state has a smaller amount of fish than the desired end-time level x des = 1.5, the fishing rate drops in the interval [7,10] and the number of fish increases.…”

Section: Application 1: Optimal Control Of Fish Populationmentioning

confidence: 98%

“…Here, χ is the characteristic (0-1) function checking if z k i ≤ t is satisfied. Similarly to (10), there is some i k such that…”

Section: How To Compute Derivatives?mentioning

confidence: 99%

“…Since there are multiple types of plastics, the waste stream usually does not contain only one type but their mixture. Since each plastic has a different recycling procedure, a necessary preliminary step before recycling is their separation [10]. One of the separation possibilities is the electrostatic free-fall separator [30] depicted in Figure 3.…”

Section: Application 2: Optimal Control Of Electrostatic Separatormentioning

confidence: 99%

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Machine learning approach to chance-constrained problems: An algorithm based on the stochastic gradient descent

Adam¹,

Branda²

2019

Preprint

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We consider chance-constrained problems with discrete random distribution. We aim for problems with a large number of scenarios. We propose a novel method based on the stochastic gradient descent method which performs updates of the decision variable based only on looking at a few scenarios. We modify it to handle the non-separable objective. A complexity analysis and a comparison with the standard (batch) gradient descent method is provided. We give three examples with non-convex data and show that our method provides a good solution fast even when the number of scenarios is large.

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Section: Application 1: Optimal Control Of Fish Populationmentioning

confidence: 98%

“…Here, χ is the characteristic (0-1) function checking if z k i ≤ t is satisfied. Similarly to (10), there is some i k such that…”

Section: How To Compute Derivatives?mentioning

confidence: 99%

Section: Application 2: Optimal Control Of Electrostatic Separatormentioning

confidence: 99%

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Machine learning approach to chance-constrained problems: An algorithm based on the stochastic gradient descent

Adam¹,

Branda²

2019

Preprint

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“…The separation of two non-conductors in an electrostatic field by utilization of triboelectric charging is implemented by free-fall separators or belt separators. The technology of separation in the triboelectric field including the belt separators are described at length in Wills' Mineral Processing Technology [3] and Ullmann's Encyclopedia of Industrial Chemistry [4].…”

Section: Triboelectrostatic Belt Separatormentioning

confidence: 99%

Investigations on the Triboelectrostatic Charging Behaviour and the Triboelectrostatic Sortability of Different Oxides

Gehringer

Luckeneder

Flachberger

2020

Berg Huettenmaenn Monatsh

Self Cite

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In the course of this study, several test series were carried out to investigate the triboelectrostatic charging behaviour of various oxides. At the beginning, the influence of the degree of aging and the influence of the sample storage on the charging efficiency of the oxide samples was analysed. For this purpose, two oxide samples were stored under different environmental conditions and then sorted using triboelectrostatic belt separation. Results of a previous series of tests showed that an increased feed temperature has a negative effect on the charging behaviour of calcium and magnesium oxide. Therefore, the effects of a reduced feed temperature were also examined. For these experiments, samples were stored at 8 °C under exclusion of air. In addition, a series of tests was carried out with a gradual increase of the voltage on the triboelectrostatic belt separator in order to determine possible differences in the charging efficiency of calcium oxide and magnesium oxide and to subsequently use them for the separation.

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“…When the difference in charge decay takes effect, the particles of the plastic mixture are charged with the same polarity, usually using the corona discharge electrode. The most common structures of separators utilizing this effect are drum and belt type separators [ 11 , 12 , 13 , 14 ] shown in Figure 1 a. The positive and negative charging of the particles in the plastic mixture is achieved by the tribocharging process performed in special devices called tribochargers.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Electrostatic Separation Effectiveness of Plastic Waste Using a Vision System

Rybarczyk

Jędryczka²,

Regulski³

et al. 2020

Sensors

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The work presented here describes the first results of an effective method of assessing the quality of electrostatic separation of mixtures of polymer materials. The motivation for the research was to find an effective method of mechanical separation of plastic materials and a quick assessment of the effectiveness of the method itself. The proposed method is based on the application of a dedicated vision system developed for needs of research on electrostatic separation. The effectiveness of the elaborated system has been demonstrated by evaluating the quality of the separation of mixtures of poly (methyl methacrylate) (PMMA) and polystyrene (PS). The obtained results show that the developed vision system can be successfully employed in the research on plastic separation, providing a fast and accurate method of assessing the purity and effectiveness of the separation process.

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Electrostatic Separation

Cited by 8 publications

References 217 publications

Machine learning approach to chance-constrained problems: An algorithm based on the stochastic gradient descent

Machine learning approach to chance-constrained problems: An algorithm based on the stochastic gradient descent

Investigations on the Triboelectrostatic Charging Behaviour and the Triboelectrostatic Sortability of Different Oxides

Assessment of the Electrostatic Separation Effectiveness of Plastic Waste Using a Vision System

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