Journals →  Obogashchenie Rud →  2019 →  #1 →  Back

ArticleName Determination of variation coefficients of a mass part of components in concentration products
DOI 10.17580/or.2019.01.04
ArticleAuthor Kozin V. Z., Komlev A. S.

Ural State Mining University, Ekaterinburg, Russia:

Kozin V. Z., Head of Chair, Professor, Doctor of Engineering Sciences,
Komlev A. S., Senior Researcher, Candidate of Engineering Sciences,


The complexity of determining the variation coefficient for the mass fraction of a useful component in the ore or concentrate is due its dependence on the mass fraction variability between product batches and the errors in sample preparation and analysis. The variation coefficients within a batch of concentrate or a specific test period (in a process flow or shift) are usually low and commensurate with the coefficients of variation associated with sampling errors, which are not taken into account under GOST 14180-80. The variation coefficients between individual batches or shifts are scattered, which requires calculation and application of averaged values for extended work periods or large numbers of batches. In order to eliminate the effects of such unknown sampling errors, the average variation coefficient per process flow should be established for test periods of one to five days within each month, and the total average variation coefficient should be calculated for N batches, where N should be selected for a convenient total shipment period, for example, one month. The use of combined samples to calculate the variation coefficient reduces the negative impact of sampling errors. As a result, the variation coefficients by flows should be estimated as average daily values during each month based on the results of current testing at the processing plants with subsequent recalculation for individual shifts.

keywords Variation coefficient, test period, sampling errors, useful component, concentrate batch, combined samples

1.  GOST 14180-80. Ores and concentrates of non-ferrous metals. Sampling methods and sample preparation for chemical analysis and moisture determination. Moscow: Izdatelstvo standartov. 27 p.
2. Kozin V. Z., Komlev A. S. Upon development of an up-to-date ore and processing products sampling standard. Obogashchenie Rud. 2016. No. 2. pp. 27-32. DOI: 10.17580/or.2016.02.05.
3.  Kozin V. Z., Komlev A. S. A combination sampling method for processing products and equipment for its implementation. Obogashchenie Rud. 2014. No, 3. pp. 28-32. DOI: 10.17580/ or.2014.03.05.
4. Kozin V. Z., Komlev A. S. Random sampling error experimental determination at processing plants. Obogashchenie Rud. 2017. No. 2. pp. 44-48. DOI: 10.17580/or.2017.02.08.
5.   Glazatov А. N., Tsemekhman L. Sh., Spitsyn N. K., Kazakov А. М., Novikov М. N., Sokolov S. V. The OAO Kolskaya Mine-and-Mill Concentrating Plant classification section overflow sampling methods improvement. Obogashchenie Rud. 2010. No. 3. pp. 35-38.
6. Karpenko N. V. Sampling and quality control of ore dressing products. Moscow: Nedra, 1987. 216 p.
7. Pitard F. Correct sampling systems and statistical tools for metallurgical prosesses. XXVII International Mineral Processing Congress. Santiago, Chile, 2014. Chap. 15. p. 1.
8. Brochot S. Sampling for metallurgical test: how the test results can be used to estimate their confidence level. XXVIII International Mineral Processing Congress. Quebec City, Canada, 2016. Paper ID 438.
9. Kogan G. N. Application of analysis of variance to estimate the errors of the process of reducing samples containing noble metals. Obogashchenie Rud. 1975. No. 6. pp. 36-38.
10.  Khmara V. V. Optimization of the interval for sampling in discrete control of varying parameter. Tsvetnye Metally. 2009. No. 2. pp. 97–99.
11. Cabri L. J., McMahon G. SIMS analysis of sulfide minerals for Pt and Au: methodology and Relative Sensitivity Factors (RSF). Canadian Mineralogist. 1995. No. 33. pp. 349–359.
12.  Australasian Code for Reporting of Exploration Results, Mineral Resources and Ore Reserves. Joint Ore Reserves Committee of the Australasian Institute of Mining and Metallurgy, Australian Institute of Geoscientists and Minerals Council of Australia (JORC), 2004. 63 р.

Language of full-text russian
Full content Buy