Projects per year
Abstract
Shear flow of dense non-Brownian suspensions is simulated using the discrete element method taking particle contact and hydrodynamic lubrication into account. The resulting flow regimes are mapped in the parametric space of the solid volume fraction, shear rate, fluid viscosity, and particle stiffness. Below a critical volume fraction ϕc , the rheology is governed by the Stokes number, which distinguishes between viscous and inertial flow regimes. Above ϕc , a quasistatic regime exists for low and moderate shear rates. At very high shear rates, the ϕ dependence is lost, and soft-particle rheology is explored. The transitions between rheological regimes are associated with the evolving contribution of lubrication to the suspension stress. Transitions in microscopic phenomena, such as interparticle force distribution, fabric, and correlation length are found to correspond to those in the macroscopic flow. Motivated by the bulk rheology, a constitutive model is proposed combining a viscous pressure term with a dry granular model presented by Chialvo et al. [Phys. Rev. E 85, 021305 (2012)]. The model is shown to successfully capture the flow regime transitions.
Original language | English |
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Article number | 012201 |
Number of pages | 10 |
Journal | Physical Review E |
Volume | 91 |
Issue number | 1 |
DOIs | |
Publication status | Published - 5 Jan 2015 |
Keywords / Materials (for Non-textual outputs)
- PARTICLES
- VISCOSITY
- SPHERES
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Dive into the research topics of 'Flow regime transitions in dense non-Brownian suspensions: Rheology, microstructural characterization, and constitutive modeling'. Together they form a unique fingerprint.Projects
- 1 Finished
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Two-phase flow modelling of dense suspensions
Sun, J. (Principal Investigator)
UK industry, commerce and public corporations
1/09/12 → 30/09/16
Project: Research
Research output
- 1 Article
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Linking particle properties to dense suspension extrusion flow characteristics using discrete element simulations
Ness, C., Ooi, J. Y., Sun, J., Marigo, M., McGuire, P., Xu, H. & Stitt, H., Jul 2017, In: AIChE Journal. 63, 7, p. 3069-3082 14 p.Research output: Contribution to journal › Article › peer-review
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