Characterization of force networks in a dense high-shear system--颗粒学报PARTICUOLOGY

Khalilitehrani, M., Sasic, S., & Rasmuson, A. (2018). Characterization of force networks in a dense high-shear system. Particuology, 38, 215-221. https://doi.org/10.1016/j.partic.2017.11.001

Characterization of force networks in a dense high-shear system

Mohammad Khalilitehrani ^a, Srdjan Sasic ^b, Anders Rasmuson ^a *

a Department of Chemistry and Chemical Engineering, Chalmers University of Technology, SE-412 96, Göteborg, Sweden
b Department of Applied Mechanics, Chalmers University of Technology, SE-412 96, Göteborg, Sweden

10.1016/j.partic.2017.11.001

Volume 38, June 2018, Pages 215-221

Received 2 December 2016, Revised 17 October 2017, Accepted 6 November 2017, Available online 2 February 2018, Version of Record 2 April 2018.

E-mail: rasmuson@chalmers.se

Highlights

• Method of community detection was used to identify the force networks of a high-shear system.

• Association of momentum transfer mechanisms with force network strength and stability was found.

• Mono- and polydisperse assemblies were compared with respect to the structure of force networks.

Abstract

We detect strong force networks in a dense high-shear system and study their structure and stability in response to variations in the shearing rate. The presence of strong force networks, which usually have a heterogeneous structure, restricts particle movements and can impose non-local mechanisms of momentum transfer. We identify such networks in a dense high-shear system using a community detection algorithm. Moreover, we explain the association between the mechanisms of momentum transfer and the structure, population, strength, and stability of the force networks by tracking the spatial and temporal evolution of the detected networks. In addition, we show that the assumption of a monodisperse assembly of particles leads to an unrealistic enlargement of the force networks, underestimating both the rate of energy dissipation and the rate of mixing.

Graphical abstract

Keywords

Force networks; Community detection; Polydispersity

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