Dynamics of Separation Characteristics of Sieving and Flow Classification Processes

Weers, Martin; Wollmann, Annett; Teipel, Ulrich; Weber, Alfred P.

doi:10.1007/978-3-030-45168-4_10

Cited by 4 publications

(8 citation statements)

References 22 publications

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“…In this work, the models of Spötter [30] and Weers [27] were further modified and optimized to predict the separation characteristics of a deflector wheel classifier for materials differing in morphology. As previously described, both are based on the particle entering the paddle interspace and undergoing the force equilibrium at different radii.…”

Section: Resultsmentioning

confidence: 99%

“…For the deflector wheel classifier used here, the central shaft inner radius is nearly as large as the inner radius of the deflector wheel paddles so that the classification process takes place between the paddles and not inside the potential vortex in the inner region of the wheel, as has been stated before [18,27].…”

Section: Airflow Measured By Piv and The Resulting Deviation Factormentioning

confidence: 99%

“…This is also shown in the Supplementary Information in the form of a recording of the 3D simulation of the paddle interspace for polyhedralshaped particles at 3000 rpm. As discussed later, the numerical approach was supported by dedicated experimental data, such as the actual mass loading [27], the average coefficient of restitution, the particle motion before impact with the deflector wheel, and the air flow field. The particle size distribution of "Saxolith 70" was used in the simulations for the feed material and additional parameters are given in Appendix D. In the DEM simulations, particles were tracked individually, while the particle/fluid force was one-way coupled with a stationary fluid field that was measured by the PIV system.…”

Section: Discrete Element Methods (Dem) Simulationsmentioning

confidence: 99%

“…From the number and area of the observed dents, they deduced the number and intensity of particle-particle collisions. In our case, the particles form a constant hold-up in the classifier casing [27] and reach the deflector wheel multiple times; therefore, this method is not suitable here. Another possibility is to simulate the multiphase flow numerically, as Toneva et al [12,13] did for a different kind of deflector wheel classifier with a mass loading of 0.1 kg (particles) kg (air) −1 [13].…”

Section: Particle-particle Interactionsmentioning

confidence: 99%

“…The general setup and procedure for the particle impact characteristics have already been described in detail in [27]. Here, a brief overview of the settings and equipment that was used is given.…”

Section: Impact Characteristics Measured In the Impact Test Bed And T...mentioning

confidence: 99%

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Development of a Model for the Separation Characteristics of a Deflector Wheel Classifier Including Particle Collision and Rebound Behavior

et al. 2022

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Deflector wheel classifiers are widespread in industry for the separation of powders into fine and coarse powders. Even though this separation process has been known for quite some time, it is not yet fully understood, and existing models fail to precisely predict the separation characteristics. Due to the high throughput of deflector wheel classifiers, it is greatly beneficial to estimate the separation characteristics before the experiment. Here, the developed model critically examines the usual assumptions, such as ideal airflow, neglection of particle–wall and particle–particle interactions, or spherically-shaped particles. First, the investigation of the air flow using a Particle Image Velocimetry (PIV) system showed significant differences to the assumed ideal flow field, then particle sphericity and its influence on the interaction between the particles and the paddles of the deflector wheel was investigated and compared with particle rebound behavior on a static wall. Surprisingly, comminuted glass behaves similarly to comminuted limestone in multiple aspects and not like glass beads. To determine the number of particle–particle collisions, Discrete Element Method (DEM) simulations were performed. The aforementioned aspects found application in the model and the separation behavior was well-estimated.

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Section: Resultsmentioning

confidence: 99%

Section: Airflow Measured By Piv and The Resulting Deviation Factormentioning

confidence: 99%

Section: Discrete Element Methods (Dem) Simulationsmentioning

confidence: 99%

Section: Particle-particle Interactionsmentioning

confidence: 99%

Section: Impact Characteristics Measured In the Impact Test Bed And T...mentioning

confidence: 99%

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Development of a Model for the Separation Characteristics of a Deflector Wheel Classifier Including Particle Collision and Rebound Behavior

et al. 2022

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Trennfunktion für den stationären Siebprozess

Teipel

Wolf

2021

Chemie Ingenieur Technik

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Es wird eine neue Trennfunktion T(x, α′, β) für den stationären Siebprozesses vorgestellt. Sie ist eine Funktion der Partikelgröße x, der Trennschärfe α′ und der neue eingeführten Trenneffizienz β. Mit der neuen Trennfunktion kann der Siebklassierprozess sehr gut beschrieben werden, insb. im Fein‐ und Grobgutbereich ist eine sehr gute Übereinstimmung mit den Messwerten zu beobachten. Ein Vergleich der Trennfunktionen berechnet mit dem Trennschärfeparameter α′ und der Trenneffizienz β zu den Trennfunktionen, die nur mit α′ ermittelt wurden, zeigt, dass durch T(x, α′, β) eine wesentliche Verbesserung der Charakterisierung des stationären Siebklassierprozesses möglich ist. Das neue Modell der Trennfunktion T(x, α′, β) liefert eine wesentlich bessere Übereinstimmung mit den Messwerten als andere Modelle und ist somit zur Beschreibung einer Trennfunktion für den stationären Siebprozess sehr gut geeignet ist.

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Dynamisches Verhalten eines Abweiseradsichters beim Anfahrprozess und Materialwechsel

Acheli¹,

Weers

Wollmann

et al. 2022

Chemie Ingenieur Technik

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Der Trennprozess im Abweiseradsichter wurde in der Vergangenheit intensiv untersucht, das dynamische Verhalten aber noch nicht. Das Erreichen des stationären Zustandes kann mehrere zehn Minuten dauern. Zwischen der Zufuhr des Pulvers und dem Abfluss über Fein‐ und Grobgutstrom bildet sich ein Holdup aus. In dieser Studie wurde die Dynamik eines Abweiseradsichters beim Anfahren und beim Materialwechsel untersucht. Die charakteristischen Zeiten sind stark von der Feed‐Beladung und weniger von der Drehzahl abhängig. Für hohe Drehzahlen sind die charakteristischen Zeiten beider Prozesse vergleichbar.

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Dynamics of Separation Characteristics of Sieving and Flow Classification Processes

Cited by 4 publications

References 22 publications

Development of a Model for the Separation Characteristics of a Deflector Wheel Classifier Including Particle Collision and Rebound Behavior

Development of a Model for the Separation Characteristics of a Deflector Wheel Classifier Including Particle Collision and Rebound Behavior

Trennfunktion für den stationären Siebprozess

Dynamisches Verhalten eines Abweiseradsichters beim Anfahrprozess und Materialwechsel

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