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Open AccessArticle

Modeling the Liberation of Comminuted Scheelite Using Mineralogical Properties

Departament d’Enginyeria Minera, Industrial i TIC, Universitat Politècnica de Catalunya Barcelona Tech, Av. Bases de Manresa 61-63, 08242 Manresa, Barcelona, Spain
Departament de Mineralogia Petrologia i Geología Aplicada, Universitat de Barcelona, Carrer Martí i Franquès, s/n, 08028 Barcelona, Spain
Author to whom correspondence should be addressed.
Minerals 2019, 9(9), 536;
Received: 20 July 2019 / Revised: 25 August 2019 / Accepted: 30 August 2019 / Published: 3 September 2019
(This article belongs to the Special Issue Mineral Liberation)
In this paper, the modeling of the liberation of scheelite is presented. A pattern of concentration experiments was performed to investigate the scheelite liberation and distribution density calculation procedure. In this work, one sample from a Mittersill tungsten ore was studied. This work describes a method for determining the downstream milling energy requirements for rod mill products based on a Bond mill test performance. The grade distribution of particles at a given size fraction was calculated using a predictive liberation model. The concentration behavior of these particles in size fractions was evaluated using batch concentrate tests. The recovery of particles in size/grade classes, image analysis using mineral liberation analysis (MLA), and function calculations were implemented for the modeling of the liberation. By describing the size, grade, and recovery data of particles in size/grade classes, a technique for the measurement of distribution functions was developed that relates beta distribution, a model for the function based on the incomplete beta function, and a solution to produce liberation modeling. It was shown that the predicted results agreed well with the observed results. With a procedure for measuring the liberation, it was possible to carry out the first experimental measurement of the beta distribution. This liberation/concentrate model has wide potential applications for metallurgy and plant design, where the liberation modeling is to be determined with the distribution density solution to the predictive mineral liberation function equation, which includes the liberation of ore samples and their liberation characteristics. View Full-Text
Keywords: scheelite; MLA; beta distribution; liberation modeling scheelite; MLA; beta distribution; liberation modeling
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Ahmad Hamid, S.; Alfonso, P.; Oliva, J.; Anticoi, H.; Guasch, E.; Hoffmann Sampaio, C.; Garcia-Vallès, M.; Escobet, T. Modeling the Liberation of Comminuted Scheelite Using Mineralogical Properties. Minerals 2019, 9, 536.

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