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  4. Bonded-particle extraction and stochastic modeling of internal agglomerate structures
 
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Bonded-particle extraction and stochastic modeling of internal agglomerate structures

Publikationstyp
Journal Article
Date Issued
2016-06-16
Sprache
English
Author(s)
Spettl, Aaron Matthias  
Bachstein, Simon  
Dosta, Maksym  
Goslinska, Monika 
Heinrich, Stefan  
Schmidt, Volker  
Institut
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
TORE-URI
http://hdl.handle.net/11420/5573
Journal
Advanced powder technology  
Volume
27
Issue
4
Start Page
1761
End Page
1774
Citation
Advanced Powder Technology 4 (27): 1761-1774 (2016-07-01)
Publisher DOI
10.1016/j.apt.2016.06.007
Scopus ID
2-s2.0-84991314153
Publisher
Elsevier
The discrete element method (DEM) is an effective computational technique that is used to investigate the mechanical behavior of various particle systems like, for example, agglomerates. However, for systems of perfectly spherical and non-overlapping particles, the structural input is almost always based only qualitatively on experimentally observed structures. In this paper, we consider the case of agglomerates where particles are nearly spherical and connected by bonds. A novel bonded-particle extraction (BPE) method is proposed for the automated approximation of such agglomerate structures from tomographic data sets. This method can be effectively used in conjunction with various commercial or open-source DEM simulation systems. By BPE, sphere-like primary particles are represented each by exactly one (perfect) sphere, and the set of spheres is non-overlapping. Furthermore, the solid bridge bonds between primary particles are retained. Having derived such a simple description of complex tomographic data sets, one can perform DEM simulations with well-established models like the bonded-particle model. Moreover, it is shown that a larger data base of statistically equivalent microstructures can be generated by a stochastic modeling approach. This approach reduces the need for (time-consuming) experimental agglomerate production and characterization.
Subjects
Agglomerate structure
Bonded-particle extraction
Bonded-particle model
Segmentation
Stochastic microstructure model
DDC Class
600: Technik
More Funding Information
Funded by the Deutsche Forschungsgemeinschaft under Grant No. SCHM 997/14-2 in the priority program 1679 “Dynamische Simulation vernetzter Feststoffprozesse”.
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