Simulation of particle-induced wear in complex moving geometries, L. Ip, J.R. Percival, M.D. Piggott, and S.J. Neethling

The Southern African Institute of Mining and Metallurgy
L. Ip J. R. Percival M. D. Piggott S. J. Neethling
Organization:
The Southern African Institute of Mining and Metallurgy
Pages:
12
File Size:
1045 KB
Publication Date:
Jan 1, 2020

Abstract

Component wear due to particle-laden flow is a significant challenge in the minerals processing industry in the handling and transportation of abrasive mineral slurries. Studying wear through experimentation is time-consuming and expensive; therefore possessing the ability to accurately simulate, understand and predict wear in these complex environments is highly desirable. The ability to predict wear is important in both the design of equipment in order to maximise the performance over the wear life of the components, as well in minimising potentially costly and dangerous failures and unscheduled maintenance.. Particle-induced wear is a complex problem, requring an understanding of coupled fluid-solid motion, geometry deformation in response to fluid-solid behaviour, moving geometries and wear modelling. Although the literature demonstrates that rebounding particles and changes to surface profiles can have a significant effect on subsequent wear rates and patterns, the challenge of implementing a model to account for this effect in complex geometries has been addressed by only a few authors in the literature. This paper describes a new wear simulator, leveraging fluidity, an open-source, massively parallel, finite element based CFD simulator capable of unstructured adaptive meshing. The wear simulator includes the ability to model particle-laden flow using representative Lagrangian particles and dynamic remeshing of geometry in response to wear and component movement. These capabilities are demonstrated using wear and the associated dynamically deforming boundaries within a Coriolis tester arm, with the results comparing favourably with the experimentally observed wear patterns. Keywords: CFD, wear, two-phase flows, anisotropic mesh adaptivity, boundary deformation
Citation

APA: L. Ip J. R. Percival M. D. Piggott S. J. Neethling  (2020)  Simulation of particle-induced wear in complex moving geometries, L. Ip, J.R. Percival, M.D. Piggott, and S.J. Neethling

MLA: L. Ip J. R. Percival M. D. Piggott S. J. Neethling Simulation of particle-induced wear in complex moving geometries, L. Ip, J.R. Percival, M.D. Piggott, and S.J. Neethling. The Southern African Institute of Mining and Metallurgy, 2020.

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