Development of a laboratory test for wear prediction in ore processing circuit, E.E.M.N. de Guzmán, M.G. Bergerman, and C. Massola
- Organization:
- The Southern African Institute of Mining and Metallurgy
- Pages:
- 6
- File Size:
- 249 KB
- Publication Date:
- Jan 1, 2020
Abstract
The abrasiveness of a mineral or rock is an extremely important topic in the mining industry and
is generally measured by the Bond abrasion index (AI). However, to determine such an index by the
Bond test requires 1,600 g of sample with particle sizes ranging from ½” to ¾”, which are not available
in certain situations, such as ore prospecting, drilling, and geometallurgical studies. In order to
investigate the abrasiveness of smaller-sized sample materials, a modified LCPC test was developed,
which allows testing fine materials (i.e., 1.0 mm or smaller) to predict wear in ore processing circuits
and anticipate possible failures resulting from changes in abrasive characteristics of the ore being
processed. The results for 16 different materials indicated a good correlation with the AI and the
modified LCPC, resulting in a reliable alternative for the AI.
Keywords: Bond Abrasion Index (AI), LCPC, abrasiveness
Citation
APA: (2020) Development of a laboratory test for wear prediction in ore processing circuit, E.E.M.N. de Guzmán, M.G. Bergerman, and C. Massola
MLA: Development of a laboratory test for wear prediction in ore processing circuit, E.E.M.N. de Guzmán, M.G. Bergerman, and C. Massola. The Southern African Institute of Mining and Metallurgy, 2020.