Журналы →  Obogashchenie Rud →  2018 →  №1 →  Назад

ANALYTICAL METHODS IN BENEFICIATION PROCESSES
Название Longitudinal section method sampling and sample analysis random error
DOI 10.17580/or.2018.01.05
Автор Kozin V. Z., Komlev A. S.
Информация об авторе

Ural State Mining University (Ekaterinburg, Russia):

Kozin V. Z., Head of Chair, Doctor of Engineering Sciences, Professor, gmf.dek@ursmu.ru
Komlev A. S., Engineer, Candidate of Engineering Sciences, tails2002@inbox.ru

Реферат

Longitudinal section method in sampling and sample analysis on streams is used with application of slurry and lump products automatic analyzers. It permits to design and introduce simple and compact sampling systems into commercial practice. The formulas for random error calculation with respect to slurry and lump products’ point samples were obtained. It is shown, that point sample error may be low for slurry, but significantly higher for lump products. Number of point samples in sampling and sample analysis by longitudinal section method is limited by point sample sampling or analysis duration. As during correlation time of analyzed component mass fraction several point samples are taken on stream, it leads to reduction of neighboring samples informational content. On the average, samples informational content is reduced approximately by the factor of two. A new formula for point samples number calculation with respect to selected control period, taking account of reduction of neighboring samples informational content, as well as changes in point samples dispersion during their sampling or analysis, is proposed. As at concentrating plants time interval between point samples taking is established on the basis of technological capabilities of samplers or analyzers, a formula is presented for integrated sample error calculation taking account of reduction of neighboring samples informational content. This formula may be used for integrated sample error calculation, selected both by a transversal and a longitudinal section method.

Ключевые слова Longitudinal section method, point and integrated sample random error, sample informational content
Библиографический список

1. Morozov V. V., Topchaev V. P., Ulitenko K. Ya., Ganbaatar Z., Delgerbat L. Development and application of automated systems of control of mineral dressing processes. Moscow: «Ruda i Metally» Publishing house, 2013. 508 p.
2. Mashevskyi G. N., Petrov A. V., Moilanen J., Timperi J., Saloheimo K., Kemppinen H. Principles of computerised control of flotation process based on new Outotec product — FrothMaster videosystem. Tsvetnye Metally. 2010. No. 2, special issue. pp. 89–92.
3. Ganbaatar Z., Delgerbat L., Duda A. M., Morozov V. V. Control of the copper-molybdenum ores beneficiation based on complex radiometric analysis of ore. Proceedings of the International meeting «Plaksin Readings-2011». Ekaterinburg: FDN Publ., 2011. pp. 118–121.
4. Lyapin A. G. Engineering-analytical control of the technologies for mining and processing of mineral raw materials. Gornyi Zhurnal. 2009. No. 4. pp. 14–16.
5. Kahn H., Antoniassi J., Shimizu V., Uliana D. X-ray diffraction cluster analysis and automated mineralogy of Sossego copper ore, Brazil. XXVII International Mineral Processing Congress. Santiago, Chile. 2014. Chap. 14. pp. 229–239.
6. Ulitenko K. Ya., Jukovetsky O. V. The automated systems of the analytical control of concentrating and metallurgical manufactures. Tsvetnye Metally. 2010. No. 11. pp. 89–92.
7. 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. Vol. 74, Iss. 1. pp. 165–170.
8. Shaforostov A. P., Suslov Yu. V., Gzogyan T. N., Gubin S. L. System of integrated control of the beneficiation process at the Mikhailovsky GOK. Gornyi Zhurnal. 2003. No. 11. p. 74.
9. 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.
10. 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.
11. Brochot S. Sampling for metallurgical test: how the test results can be used to estimate their confidence level. XXVIII International Mineral Processing Congress. Québec, Canada, 2016. Paper ID 438.
12. Lishchuk V., Lambery P., Lund C. Evaluation of sampling in geometallurgical programs through synthetic deposit model. XXVIII International Mineral Processing Congress. Québec, Canada, 2016. Paper ID 378.
13. 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.
14. Khmara V. V. Optimization of the interval for sampling in discrete control of varying parameter. Tsvetnye Metally. 2009. No. 2. pp. 97–99.
15. GOST 14180—80. Ores and concentrates of nonferrous metals. Methods for selection and preparation of samples for chemical analysis and moisture determination. Moscow: Izdatelstvo standartov. 27 p.

Language of full-text русский
Полный текст статьи Получить
Назад