High-frequency sampling of point samples of lump ores

Point sampling of large-lump ores at mines and processing plants is usually performed manually. At the same time, small pieces are beaten off from large pieces, or small fractions of ore are taken into a point sample. Such point sampling is accompanied by a systematic error of 7−10%. The number of spot samples from large-lump ores can be 2−4 per shift. A small number of point samples leads to a large random error of 5 to 9%. In order to reduce the complexity of sampling and reduce the random error, it is proposed to select narrow classes of small size of the processed ore that appear in it during crushing and transportation into a point sample. The limiting variant of the narrow class is the dust fraction minus 0.1 mm, completely natural for analysis, taken from the ore stream during the shift. In this case, high-frequency sampling of point samples (dust particles) is carried out. Several million such spot samples are taken into the combined replacement sample. The relative random error of the replacement sample will not exceed 0.5%. To eliminate the systematic error of the sample, represented by a narrow class of size, it is necessary to find the conversion factor for the average monthly result. The conversion factor can be either greater or less than one, depending on the strength of the minerals containing the component being determined. The implementation of high-frequency lump testing will allow solving the time-consuming procedure of testing lump ores in the most economical way.

Kozin V. Z. , Komlev A. S. High-frequency sampling of point samples of lump ores. MIAB. Mining Inf. Anal. Bull. 2024;(1-1):153—166. [In Russ]. DOI: 10.25018/0236_1493_2024_011_0_153.

The study was carried out with the support of the Ministry of Science and Higher Education of the Russian Federation in accordance with the state task No. 0833−2023−0004 for the Ural State Mining University.

Kozin V. Z.¹, Head of the Department of Mineral Processing, Dean of the Faculty of Mining and Mechanics, Dr. Sci. (Eng.), Professor, ORCID ID: 0000-0001-7184-919X, е-mail: gmf.dek@ursmu.ru;
Komlev A. S.¹, Cand. Sci. (Eng.), Senior Researcher, ORCID ID: 0000-0002-2484-2726, е-mail: tails2002@inbox.ru (сorresponding author);
¹ Ural State Mining University, Russia, 620144, Yekaterinburg, Kuibyshev str., 30.

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