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Determining the coefficient of friction by shear tester simulation

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

The flow behaviour of very dense particle regimes such as in a moving or fluidized bed is highly dependent on the inter-particle friction, which can be characterized by the coefficient of friction. Since only rough guide values for common material pairs are available in the literature, we determine the exact parameters by fitting numerical simulations to experimental measurements of a simplified Jenike shear tester [1, 2]. The open-source discrete-element-method code LIGGGHTS [3] is used to model the shear cell, which is built of triangulated meshes. In order to preload the bulk solid in the shear cell with a constant principal stress, the movement of these walls is controlled by a prescribed load. A comprehensive sensitivity study shows that the results are nearly insensitive to the spatial dimensions of the shear tester as well as all other material properties. Therefore, this set-up is applicable to determine the coefficient of friction. Furthermore, we calculate the coefficient of friction of glass beads showing very good agreement with literature data and in-house experiments. Hence, this procedure can be used to deduce material parameters for the numerical simulation of dense granular flows.
OriginalspracheEnglisch
TitelParticle-Based Methods III
UntertitelFundamentals and Applications - Proceedings of the 3rd International Conference on Particle-based MethodsFundamentals and Applications, Particles 2013
Herausgeber*innen Manfred Bischoff, Ekkehard Ramm, Eugenio Oñate, Roger Owen and Peter Wriggers
ErscheinungsortBarcelona
VerlagInternational Center For Numerical Methods in Engineering (CIMNE)
Seiten335-342
Seitenumfang8
ISBN (Print)9788494153181
PublikationsstatusVeröffentlicht - Sep. 2013

Publikationsreihe

NameParticle-Based Methods III: Fundamentals and Applications - Proceedings of the 3rd International Conference on Particle-based MethodsFundamentals and Applications, Particles 2013

Wissenschaftszweige

  • 103032 Strömungslehre
  • 203 Maschinenbau
  • 203016 Messtechnik
  • 203024 Thermodynamik
  • 211104 Metallurgie
  • 204006 Mechanische Verfahrenstechnik
  • 204007 Thermische Verfahrenstechnik
  • 103043 Computational Physics

JKU-Schwerpunkte

  • Computation in Informatics and Mathematics
  • Mechatronics and Information Processing
  • TNF Allgemein

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