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- W3081609265 abstract "Water plays a key role in the mining industry, mainly in supporting exploration and mineral extraction. Cost efficiency can be obtained by minimising the use of water. Efficient methods of water use minimisation during the recovery process are suggested to build on a framework for modelling and simulation of mine water use during dewatering. Dewatering can be described by a one-dimensional model for a thickener, centrifuge or pressure filter, where the local solids concentration depends on time and position. The dewatering dynamics is described by two material-specific model functions of the local solids concentrationφ: The hindered settling function R(φ) quantifies or hydrodynamic resistance to flow of liquid through the slurry. This resistance is mathematically related to a solids settling flux function f(φ). When all particles are in contact, i.e. when the local particle concentration is greater than the gel point, the slurry forms a continuous network and has a network strength that can transmit stress. The compressive yield stress Py(φ) or effective solids stress function σe(φ) quantifies the strength of the particle network in compression, with the strength being zero at the gel point φg or critical concentration φc. In order to obtain a scalable model, the dewatering model can be calibrated on laboratory scale with help of a laboratory centrifuge and an algorithm for parameter identification. In centrifugation, the tailings slurry is described by its local solids concentration (volume fraction) φ =φ(r,t) as a function of radial position r and time t. As a model simplification, it is assumed that the sludge has a relatively homogeneous composition, i.e. it is composed of uniform solid particles having same material properties like an effective average diameter and density. A slurry that only consists of one single type of particles is referred to as a “monodisperse” suspension. The settling of a monodisperse flocculated suspension in a rotating tube centrifuge can be modelled by the following spatially one-dimensional partial differential equation (PDE) (Equation presented) where ω is the angular velocity, g is the acceleration of gravity, the batch hindered settling function f(φ) is the first of two material-specific model functions of the local solids concentration φ, and A(φ) is a diffusion function depending on both f(φ) and σe(φ). Two applications of this PDE earlier described by Berres et al. (2010) and Usher et al. (2013) are compared for their utility in determining material properties for process modelling. For the first method, the constitutive functions are given in parametric form; the parameters are identified by solving an inverse problem through an optimisation routine. The gel point turns out to be a highly sensitive parameter which induces a natural ill-posedness. By the second method, the raw measurement data is used to characterise material property values at a number of solids concentrations. These data can then be fitted to determine parameters for constitutive functions. Both methods deliver functions for the phenomenological description of mine water dewatering." @default.
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- W3081609265 date "2013-12-01" @default.
- W3081609265 modified "2023-09-29" @default.
- W3081609265 title "Characterising mineral slurry dewatering through laboratory centrifugation" @default.
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- W3081609265 doi "https://doi.org/10.36334/modsim.2013.a11.berres" @default.
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