Design and construction of advanced sorting inorder to chromite segregation

Document Type : Original Article

Authors

Department of Mining Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

Ore sorting proposed as an important step in the ore dressing of chromite processing and limited results have been reported in this field. By using this method, which is included in the classification of physical separations, significant energy savings and increased production are made. In this project, the separation of chromite has been accomplished by designing and building an ore sorting device. For this purpose, minerals are first imaged by a 3D scanner, and after creating a cloud of points, the volume of the corresponding stone piece is obtained, and based on that, the equivalent diameter of the stone piece is determined. Then ores placed on the device’s conveyor and the mass of each pieces are measured by load cell sensor and the density of minerals determined. Finally, according to the size and specified conditions of each fraction, the grade of stone pieces determined and based on the specified limit for grade, it is directed to the concentrate section (valuable part) or tailings (non-valuable part). The obtained results illustrated that the Sabzevar chromite with a grade of 26.16 percent with gaunge minerals after ore sorting, produces an initial concentrate with 33.11 and 83.92 percent of the grade and recovery respectively.

Keywords


[1] Joseph Lessard, 2014. Development of ore sorting and its impact on mineral processing economics. Minerals Engineering. 65 (2014) 88–97.
[2] Bond, F.C., 1961. Crushing and Grinding Allis-Chalmers Manufacturing Company, p. 16.
[3] De Bakker, J., 2014. Energy use of fine grinding in mineral processing. Metall. Mater. E 1E, 8–19.
[4] ills, B, Napier-Munn, T., "Mineral Processing Technology", Elsvire Scince & Technology Books, 2006.
[5] B. Rezaei, Preconcetration and physical concentration in mineral processing , Amirkabir University,Tehran , 2015. (in persian)
[6] JM Bergmann, 2011. Industrial Minerals (London), 2011 - Metal Bulletin Journals Ltd.
[7] Marinus Dalm. Application of near-infrared spectroscopy to sensor based sorting of a porphyry copper ore. Minerals Engineering. 58 (2014) 7–16.
[8] Joseph Lessard. Bridging the gap: Understanding the economic impact of ore sorting on a mineral processing circuit. Minerals Engineering. 15 (2016) 92–99.
[9] G.R. Ballantyne. Benchmarking comminution energy consumption for the processing of copper and gold ores. Minerals Engineering. 65 (2014) 109–114.
[10] Steinert US, 2015a. Sensor sorting: what’s the real value of sensor-based sorting  , Accessed on 20 April 2018; https://steinertglobal.com/us/en .