УДК 622.7.09
DOI: 10.21440/0536-1028-2019-5-63-74

Komlev A. S. The conditions of reliable determination of valuable component mass fraction in mineral processing products. Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal = News of the Higher Institutions. Mining Journal. 2019; 5: 63–74 (In Russ.). DOI: 10.21440/0536-1028-2019-5-63-74

Introduction. One requirement to sampling reliability improvement at concentrating plants is sampling system conformity to the current standards.
Research methodology. At a number of concentrating mills measures are taken on bringing the sampling system in the conformity with the standard requirements. It should lead to reliable determination of valuable component mass fraction in mineral processing products, and minimize product imbalance. In most concentrating plants the effect from bringing the sampling system into the line with the requirements is lacking due to the influence of a probable systematic error on the result of sampling.
Research aims to study the conditions of sampling ensuring reliable determination of valuable component mass fraction in mineral processing products.
Subject matter – the theoretical algorithm of arriving at the conditions of reliable determination of mass fraction.
Research object – the statistics of mineral processing products sampling, containing local extreme values of mass fraction and conditioned by such values of product imbalance at concentrating mills. Research has been carried out by means of studying the statistics of mineral processing sampling based on modern scientific image of sampling errors.
Results. The proposed algorithm of valuable component mass fraction reliable determination in mineral processing products is based on the results of the current sampling, recording the recurring “outbursts” of mass fraction. The discovered time frame between spot samplings makes it possible to determine the mass fraction of a valuable component with the specified error. The obtained time frame for mass fraction reliable determination makes up several minutes to fractions of a minute. At a majority of the operating concentrating plants the indicated time frame is not less than 30 min.
Summary. For reliable determination of valuable component mass fraction in mineral processing products it is required to use short time frames between spot samples from some minutes to fractions of a minute. It makes it possible to apply to integrated way of sampling. The use of short time frames between spot samplings supplements to requirements of the current standards.

Key words: mass fraction; product imbalance; time frame between spot samples; hurricane sample.

REFERENCES
1. Kozin V. Z. Sampling of mineral raw material at concentrating plants. Ekaterinburg: UrSMU Publishing;
2018. (In Russ.)
2. Pitard F. Correct sampling systems and statistical tools for metallurgical prosesses. XXVII International
Mineral Processing Congress. Santiago, Chile. 2014. Chap. 15. P. 1.
3. 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.
4. Kozin V. Z. Trade balance off concentrating plants: scientific monograph. Ekaterinburg: UrSMU
Publishing; 2014. (In Russ.)
5. Kozin V. Z., Vodovozov K. A. Factors causing positive product imbalance at ore-dressing plants.
Obogashchenie Rud = Mineral Processing. 2013; 2: 27–31. (In Russ.)
6. Komlev A. S. Experimental validation of the presence and the size of the probable systematic error of
sampling at concentration plants. In: Scientific fundamentals and practice of ore and technogenic raw
material processing: Proceedings of the 21st International Science and Engineering conference.
Ekaterinburg: Fort Dialog-Iset Publishing; 2016. (In Russ.)
7. Kudriavtsev Iu. A. Sampling errors at Sovetskoe goldfield operation. In: Geology and mineral resources
of Krasnoyarsk region: collected works. Krasnoyarsk; 1972: 23–28 (In Russ.)
8. Liapin A. G. Engineering-analytical control over the technologies of mineral raw material production
and processing. Gornyi zhurnal = Mining Journal. 2009; 4: 14–16. (In Russ.)
9. Cleary P. W., Robinson G. K. Sampling of cohesive bulk materials by falling stream cutters. Chemical
Engineering Science. 2011; 66 (17): 3991–4003.
10. Mucha J., Szuwarzysk M. Sampling errors and their influence on accuracy of zinc and lead content
evaluation in ore from the Trzebionka mine (Silesian–Cracow Zn–Pb ore district, Poland). Chemometrics
and Intelligent Laboratory Systems. 2004; 74 (1): 165–170.
11. Kozin V. Z., Komlev A. S. A combination sampling method for processing products and equipment for
its implementation. Obogashchenie Rud = Mineral Processing. 2014; 3: 28–32. (In Russ.)
12. Kozin V. Z., Komlev A. S. Outstanding samples and other consideration. Obogashchenie Rud =
Mineral Processing. 2015; 4: 39–43. (In Russ.)
13. Alimov Iu. I., Shaevich A. B. Methodological features of evaluating the results of quantitative chemical
analysis. Zhurnal analiticheskoi khimii = Journal of Analytical Chemistry. 1988; 10: 1893–1916.
(In Russ.)
14. Volarovich G. P., Ivanov V. N. (eds.) Goldfields exploration techniques. Moscow: TsNIGRI Publishing;
1991. (In Russ.)
15. Khmara V. V. Optimization of the interval for sampling in discrete control of varying parameter.
Tsvetnye metally = Non-ferrous Metals. 2009; 2: 97–99.

Received 25 February 2019