Back to search

Obtaining the x-ray fluorescence separator experimental separation characteristics for oxidized copper ore

Use of pre-concentration methods increases in general, and use of X-ray fluorescence separation increases in particular. So frequently requires the description of this process from a theoretical standpoint. The main aim of any separation process is to forecast the technological parameters of separation. The forecast of separation indicators is carried out using the fractional characteristics of raw materials and the separation characteristics of the equipment used for the separation process. The paper describes a technique for obtaining separation characteristics of the X-ray fluorescence separation process using a laboratory X-ray fluorescence separator SRF-100L. Experiments were carried out in the sorting mode on a sample of lumpy material for two variants of the assigned separation boundaries, a statistical analysis of the data obtained was carried out. The surface content of the component in the lumps of material was estimated by means of an average spectral ratio. It is revealed that the values of the average spectral ratios for each lump are different in different experiments to obtain a separation characteristic, but this difference is insignificant. It is revealed that as a measure of the heterogeneity of surface mineralization, the mean square deviation of the spectral ratio can be used for several implementations of separation of the same lump. The described methodology makes it possible to obtain experimental separation characteristics for different types of mineral raw materials. Taking into account the separation characteristics of industrial equipment of this type when calculating separation indicators allows make a forecast with greater accuracy.

Keywords: preliminary ore dressing, X-ray fluorescence separation (XRF); probability recognition; analytical parameter; spectral ratio; nonuniformity of surface mineralization; mean square deviation; separation characteristic.
For citation:

Tsypin E. F., Ovchinnikova T. Yu., Efremova T. A., Ziyatdinov S. V. Obtaining the x-ray fluorescence separator experimental separation characteristics for oxidized copper ore. MIAB. Mining Inf. Anal. Bull. 2023;(12-1):164—176. [In Russ]. DOI: 10.25018/0236_1493_2023_12 1_0_164.

Acknowledgements:
Issue number: 12
Year: 2023
Page number: 164-176
ISBN: 0236-1493
UDK: 622.725 : 535.3
DOI: 10.25018/0236_1493_2023_121_0_164
Article receipt date: 15.05.2023
Date of review receipt: 02.10.2023
Date of the editorial board′s decision on the article′s publishing: 10.11.2023
About authors:

Tsypin E. F., ORCID iD 0000-0003-3921-2695, Dr. Sci. (Eng.), Professor, Professor of the Mineral Dressing Department, Federal State Budgetary Educational Institution of Higher Education “Ural State Mining University”, 30 Kuibyshev str., Yekaterinburg, Russia, 620144, tsipin.e@mail.ru;
Ovchinnikova T. Yu., ORCID iD 0000-0001-7000-9295, Cand. Sci. (Eng.), Associate Professor of the Mineral Dressing Department, Federal State Budgetary Educational Institution of Higher Education “Ural State Mining University”, 30 Kuibyshev str., Yekaterinburg, Russia, 620144, tatyana.ovchinnikova@m.ursmu.ru;
Efremova T. A., ORCID iD 0000-0002-9917-6676, Cand. Sci. (Eng.), Senior Researcher of the Laboratory of Mineral Dressing of Non-ferrous Metal Ores and Technogenic Raw Materials, Mineral Dressing Department of JSC “Uralmekhanobr”, 87 Khokhryakova str., Yekaterinburg, Russia, 620144, efremova_ta@umbr.ru;
Ziyatdinov S. V., ORCID iD 0009-0006-6621-3748, Researcher of the Laboratory of Mineral Dressing of Non-ferrous Metal Ores and Technogenic Raw Materials, Mineral Dressing Department of JSC “Uralmekhanobr”, 87 Khokhryakova str., Yekaterinburg, Russia, 620144, svziyat@mail.ru.

 

For contacts:

Ovchinnikova T. Yu., tatyana.ovchinnikova@m.ursmu.ru.

Bibliography:

1. Tikhonov O. N. Regularities of effective minerals separation in the processes of mineral dressing. Moscow, Nedra, 1984. 208 p. [In Russ].

2. Tatarnikov A. P., Asonova N. I., Balkina I. G., Naumov M. E., Konovalov G. N., Voevodin I. V. Up-to-date technologies and equipment for radiometric concentration of uranium ores. Gornyi Zhurnal [Mining Journal], 2007, no. 2, pp. 85—87. [In Russ].

3. Alushkin I. V., Schipchin V. B., Korneyev I. G. X-ray radiometric separation from TOMRA Sorting for pre-concentration of coal. Ugol [Coal]. 2014, no. 5, pp. 100—103. [In Russ].

4. Robben C., Wotruba H. Sensor-based ore sorting technology in mining — Past, present and future. Minerals. 2019, vol. 9, iss. 9. DOI: 10.3390/min9090523.

5. Robben C., Condori P., Pinto A., Machaca R., Takala A. X-ray-transmission based ore sorting at the San Rafael tin mine. Minerals Engineering. 2020, vol. 145, 105870. DOI: 10.1016/j.mineng.2019.105870.

6. Ryabkin V. K., Litvintsev E. G., Tikhvinskii A. V., Korpenko I. A., Pichugin A. N., Kobzev A. S. Polychrome photometric separation of gold-bearing ores. Gornyi Zhurnal [Mining Journal]. 2007, no. 12. pp. 88–92. [In Russ].

7. Rassulov V. A., Nerushchenko E. V. Laser-photometric lump separation of goldbearing ore. Obogashcheniye Rud [Mineral Dressing]. 2020, no. 5. pp. 16–22. [In Russ]. DOI: 10.17580/or.2020.05.03.

8. Chanturia V. A., Morozov V. V., Dvoichenkova G. P., Chanturia E. L. Increasing the recoverability of diamonds in the process of x-ray luminescent separation using phosphorcontaining compositions. Sustainable Development of Mountain Territories. 2022, no. 14(3), pp. 410–421. [In Russ]. DOI: 10.21177/1998-4502-2022-14−3-410−421.

9. Tereshchenko S. V., Shibaeva D. N. Ore quality improvement by pre-concentration: theory and practice. Gornyi Zhurnal [Mining Journal]. 2020, no. 9, pp. 60–65. [In Russ]. DOI: 10.17580/gzh.2020.09.08.

10. Tsypin E. F., Efremova T. A., Ovchinnikova T. Yu. X-ray fluorescent separation process simulation. MIAB. Mining Inf. Anal. Bull. 2022, no. 11−1, pp. 126—138. [In Russ]. DOI: 10.25018/0236_1493_2022_111_0_126.

11. Tsypin E. F., Entaltsev E. V., Shemyakin V. S., Skopov S. V., Fedorov Y. O., Pestov V. V. Enrichment by X-ray radiometric separation. Steel in translation. 2009, no. 6, pp. 521–524.

12. Sotoudeh F., Nehring M., Kizil M. S., Knights P. Integrated underground mining and pre-concentration systems; a critical review of technical concepts and developments. International Journal of Mining, Reclamation and Environment. 2020, vol. 35, iss. 3, pp. 153–182. DOI: 10.1080/17480930.2020.1782573.

13. Li G., Klein B., Sun C., Kou J. Investigation on influential factors of bulk ore sortability based on fractal modelling. Minerals Engineering. 2021, vol. 177(15). DOI: 10.1016/j.mineng.2021.107362.

14. Zabolotsky A. I., Nerushchenko E. V. Results of research on the applicability of pre-enrichment methods for gold ores from Highland Gold Mining LTD Deposits. Ratsional’noye osvoyeniye nedr [Rational development of subsoil] 2020, no. 4, pp. 64–70. [In Russ]. DOI: 10.26121/RON.2020.57.68.008.

15. Gleeson D. Preceding processing. International Mining. 2019, March, pp. 82–87.

16. Veras M., Young A., Sampaio C., Petter C. A mining breakthrough: Preconcentration by sensor-based sorting. Mining Engineering. 2016, vol. 68, iss. 3, pp. 38–42.

17. Ovchinnikova T. Yu., Efremova T. A., Tsypin E. F. Lower size grade limits in ore pretreatment using X-ray fluorescent separation. MIAB. Mining information and analytical bulletin. 2021, no. 11−1, pp. 328–337. [In Russ]. DOI: 10.25018/0236_1493_2021_111_0_328.

18. Ovchinnikova T. Yu., Tsypin E. F., Efremova T. A., Arinov K .N. Correlation of the surface and volume component contents in lumps with different mineralization. MIAB. Mining Inf. Anal. Bull. 2022, no. 11−1, pp. 139—153. [In Russ]. DOI: 10.25018/0236_1493_2022_111_0_139.

19. Li G., Klein B., Sun C., Kou J. Lab-scale error analysis on X-ray fluorecence sensing for bulk ore sorting. Minerals Engineering. 2021, vol. 164, 106812. DOI: 10.1016/j.mineng.2021.106812.

20. Li G., Klein B., Sun C., Kou J. Applying Receiver-Operating-Characteristic (ROC) to bulk ore sorting using XRF. Minerals Engineering. 2019, vol. 146. DOI: 10.1016/j.mineng.2019.106130.

Our partners

Подписка на рассылку

Раз в месяц Вы будете получать информацию о новом номере журнала, новых книгах издательства, а также о конференциях, форумах и других профессиональных мероприятиях.