Determining the coefficient of friction by shear tester simulation

Andreas Aigner, Simon Schneiderbauer, Christoph Kloss, Stefan Pirker

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

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.
Original languageEnglish
Title of host publicationParticle-Based Methods III
Subtitle of host publicationFundamentals and Applications - Proceedings of the 3rd International Conference on Particle-based MethodsFundamentals and Applications, Particles 2013
Editors Manfred Bischoff, Ekkehard Ramm, Eugenio Oñate, Roger Owen and Peter Wriggers
Place of PublicationBarcelona
PublisherInternational Center For Numerical Methods in Engineering (CIMNE)
Pages335-342
Number of pages8
ISBN (Print)9788494153181
Publication statusPublished - Sept 2013

Publication series

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

Fields of science

  • 103032 Fluid mechanics
  • 203 Mechanical Engineering
  • 203016 Measurement engineering
  • 203024 Thermodynamics
  • 211104 Metallurgy
  • 204006 Mechanical process engineering
  • 204007 Thermal process engineering
  • 103043 Computational physics

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Mechatronics and Information Processing
  • Engineering and Natural Sciences (in general)

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