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Journal articles on the topic 'Ore Sorting'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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1

Clayton, Colin G., and Ramo Spackman. "Gold ore sorting." Minerals Engineering 2, no. 4 (January 1989): ii. http://dx.doi.org/10.1016/0892-6875(89)90111-8.

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2

Cutmore, N. G., Y. Liu, and A. G. Middleton. "Ore characterisation and sorting." Minerals Engineering 10, no. 4 (April 1997): 421–26. http://dx.doi.org/10.1016/s0892-6875(97)00018-6.

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3

Reutskii, Yu V. "Optimal ore sorting automata." Soviet Mining Science 23, no. 6 (November 1987): 531–35. http://dx.doi.org/10.1007/bf02499786.

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4

Manana, R., J. J. Artieda, and J. C. Catalina. "Ore Sorting and Artificial Vision." IFAC Proceedings Volumes 18, no. 6 (July 1985): 235–40. http://dx.doi.org/10.1016/s1474-6670(17)60515-9.

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5

Cutmore, N. G., Y. Liu, and A. G. Middleton. "On-line ore characterisation and sorting." Minerals Engineering 11, no. 9 (September 1998): 843–47. http://dx.doi.org/10.1016/s0892-6875(98)00071-5.

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6

Wotruba, Hermann, and Christopher Robben. "Sensor-based ore sorting in 2020." at - Automatisierungstechnik 68, no. 4 (April 28, 2020): 231–38. http://dx.doi.org/10.1515/auto-2019-0060.

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AbstractSensor-based ore sorting is not a new technology. It has been around since more than 70 years, mainly for diamond concentration, where it was applied to eliminate the security risk of diamonds being stolen from the previously applied grease-tables [13]. Despite a few installations in uranium ore processing, it had no further widespread acceptance in the minerals industry, mainly due to low design capacity. Besides that, sensor-based colour sorters were used in the food industry for small particle sizes (e. g., rice cleaning). It is fact that the first machine designs appropriate for coarse bulk materials were not developed for the minerals industry, but for the upcoming recycling industry for plastics, glass, paper, metals in the late 1980s. In this sector, besides some magnetic separators, all the work was done by manual hand-picking, and it needed automation. After some years of optimization, these machines showed reliable performance under harsh conditions in scrap yards and recycling plants. Then, finally, the minerals industry, which at first was not convinced that this rather complicated machines were suited to be used with minerals, began with the first applications. These first installations of sensor-based ore sorters around the late 1990, all of them equipped with line-scan optical cameras, were mainly in industrial minerals, such as calcite, magnesite, quartz or rock salt. Since then, the technology has seen an enormous development in terms of available sensors, design capacity and availability, and the number of installations for minerals is growing – steadily but slower than expected, considering the many advantages it brings.
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7

Li, Min, Arber Caushaj, Rodrigo Silva, and David Lowther. "A neural network for electromagnetic based ore sorting." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, no. 2 (March 5, 2018): 691–703. http://dx.doi.org/10.1108/compel-12-2016-0529.

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PurposeThis paper aims to presents a novel application of neural network (NN) pattern recognition to ore rock sorting using inductive electromagnetic (EM) sensors. Design/methodology/approachThe impedance of a metallic rock can be measured with an inductive method based on Faraday’s law and eddy current theory. A virtual rock model is then created for the simulation of the EM measurements. An NN is trained to differentiate between waste and useful ore samples (containing high amount of minerals) based on the EM sensor signals produced by the rocks. FindingsThe NN solution showed high accuracy of rock classification and produced relatively robust results from signals with noise. Originality/valueA pattern recognition NN was applied to classify low- and high-grade ore samples. It has the potential to determine the approximate amount of conductive materials inside ore rocks through multiple classes. This method can be used to improve the performance of EM-based ore sorting for mineral pre-concentration.
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8

Yang, Wei Lin, Hui Xin Dai, and Hong Jun Wang. "Progress of Cassiterite Sulfide Ore Beneficiation." Applied Mechanics and Materials 644-650 (September 2014): 5439–42. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.5439.

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This paper introduces the characteristics and distribution of sulfide ore cassiterite, an overview of the re-election of sulfide ore cassiterite flotation basic skills and status, and the use of tin resources and sorting technology development proposed sulfide ore cassiterite Prospect.
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9

Azaryan, Volodymyr. "The Methodology of Use of the Mobile Crushing-and-Sorting Radiometric Complex in the Iron-Ore Pit." Solid State Phenomena 277 (June 2018): 90–99. http://dx.doi.org/10.4028/www.scientific.net/ssp.277.90.

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This paper justifies the use of the mobile crushing-and-sorting radiometric complexes (MCSRC) under conditions of iron-ore pits in order to increase the ore quality produced in the mine faces of the «ore-rock» contact zone and stabilize the content of the useful component in the general ore-flow. The patterns, which are used as a fundamental base of the radiometric sorting process, are given. The functional scheme of MCSRC is considered, the algorithm of operation is developed, and the main technological tasks of the complex are determined. The technological scheme of the face sloping using MCSRC and formation of the all-pit ore-flow is developed. The expected indicators from use of the mobile crushing-and-sorting radiometric complex in the form of the technological, economical, power-saving and ecological effect were considered.
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10

Li, Lin, Xian Jun Lu, and Jun Qiu. "Experimental Research on Modifier Optimization of Flotation Process in a Molybdenum Ore in Inner Mongolia." Advanced Materials Research 291-294 (July 2011): 3372–76. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.3372.

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The research has conducted a experimental research on the issues in modifier of flotation process in a molybdenum ore concentrating mill in Inner Mongolia. The results show that: when the raw ore is grinded into 61% -200 meshes, which is the same to the site production ore, the sorting index is optimum in neutral magma condition; and for dispersing agent, the sorting effect of sodium silicate is better than sodium hexametaphosphate, and the confirmed sufficient quality of sodium silicate is 300g/t.
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11

Robben and Wotruba. "Sensor‐Based Ore Sorting Technology in Mining—Past, Present and Future." Minerals 9, no. 9 (August 29, 2019): 523. http://dx.doi.org/10.3390/min9090523.

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While the deposit qualities for mineral raw materials are constantly decreasing, the challenges for sustainable raw material processing are increasing. This applies not only to the demand for minimizing the consumption of energy, water, and reagents, but also to the reduction of residual materials, especially fine and difficult-to-landfill materials. Sensor‐based ore sorting can be used as a separation process for coarser grain sizes before the application of fine comminution and separation technologies and is applicable for a large variety of mineral raw materials. Sensor‐based ore sorting applies at various points in the process flow diagram and is suitable for waste elimination, for material diversion into different process lines, for the production of pre‐ and final concentrates, as well as for the reprocessing of coarse‐grained waste dumps and other applications. The article gives an overview of the development and state of the art of sensor‐based ore sorting for mineral raw materials and introduces various applications.
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12

Norgate, Terry, and Nawshad Haque. "The greenhouse gas impact of IPCC and ore-sorting technologies." Minerals Engineering 42 (March 2013): 13–21. http://dx.doi.org/10.1016/j.mineng.2012.11.012.

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13

Li, Genzhuang, Bern Klein, Chunbao Sun, Jue Kou, and Lei Yu. "Development of a bulk ore sorting model for sortability assessment." Minerals Engineering 141 (September 2019): 105856. http://dx.doi.org/10.1016/j.mineng.2019.105856.

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14

Bearman, R. A., D. J. Bowman, and R. Dunne. "Decision support for ore sorting and preconcentration in gold applications." Mineral Processing and Extractive Metallurgy 129, no. 1 (October 9, 2019): 12–23. http://dx.doi.org/10.1080/25726641.2019.1652488.

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15

Kulikov, Vadim I. "Improving the technology of gold ore X-ray radiometric separation." Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal 1, no. 3 (May 14, 2021): 88–96. http://dx.doi.org/10.21440/0536-1028-2021-3-88-96.

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Introduction. Gold ore pre-concentration is an urgent issue that can efficiently be solved by the technology of X-ray radiometric separation (XRS). Quarts and quarts-sulfide gold ore XRS is based on the methods of indirect sorting by gold accompanying chemical elements or genetic associate minerals laying the foundation for the creation of separation characteristics for these ores. Additional separation characteristics are required for efficient gold-quartz and gold-quartz-sulfide ore sorting; Irgiredmet Research Institute works on these characteristics search and development. Research methodology. Optimal ore separation characteristics for each specific deposit are chosen after studying and analyzing the spectral information acquired at XRF separators when detecting secondary characteristic radiation from each specific deposit ore samples. The recent modernization of XRF separators significantly enhanced the technological capabilities of XRS concerning intensive search and study of new separation characteristics for gold ore. It has been established that most ores can be efficiently sorted by three characteristics. Research results. A new method of gold ore XRS has been developed which consists of simultaneously applying three, two, or one decision criterion of a lump separation depending on the type, geologicalmineralogical properties, and material composition of the processed ore
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16

Li, Feng Jiu, Hui Jing Wang, Jin Rui Zhang, Qing Mei Jia, and Li Bing Zhao. "Development and Utilization of the Micro-Fine Weakly Magnetic Iron Ore." Advanced Materials Research 734-737 (August 2013): 925–28. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.925.

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This paper introduces the status of micro-fine weakly magnetic iron ore separation technology, analyzes the various characteristics of each separation process ,enumerates some production technology examples dealing with such iron ore and points out that the combined aggregation separation technology will have a wide development and application prospects in fine weakly magnetic iron ore sorting and processing areas.
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17

Singh, Veerendra, and S. Mohan Rao. "Application of image processing and radial basis neural network techniques for ore sorting and ore classification." Minerals Engineering 18, no. 15 (December 2005): 1412–20. http://dx.doi.org/10.1016/j.mineng.2005.03.003.

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18

Li, Genzhuang, Bern Klein, Chunbao Sun, and Jue Kou. "Insight in ore grade heterogeneity and potential of bulk ore sorting application for block cave mining." Minerals Engineering 170 (August 2021): 106999. http://dx.doi.org/10.1016/j.mineng.2021.106999.

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19

Iyakwari, Shekwonyadu, Hylke J. Glass, and Stephen E. Obrike. "Discerning mineral association in the near infrared region for ore sorting." International Journal of Mineral Processing 166 (September 2017): 24–28. http://dx.doi.org/10.1016/j.minpro.2017.06.008.

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20

Foggiatto, B., J. T. Ross, T. Donkin, B. Patterson, M. I. Guthrie, and G. Lane. "Material handling and flowsheet selection considerations for particle-based ore sorting." CIM Journal 10, no. 4 (November 8, 2019): 200–205. http://dx.doi.org/10.15834/cimj.2019.13.

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21

Lessard, Joseph, Jan de Bakker, and Larry McHugh. "Development of ore sorting and its impact on mineral processing economics." Minerals Engineering 65 (October 2014): 88–97. http://dx.doi.org/10.1016/j.mineng.2014.05.019.

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22

Li, Genzhuang, Bern Klein, Chunbao Sun, and Jue Kou. "Applying Receiver-Operating-Characteristic (ROC) to bulk ore sorting using XRF." Minerals Engineering 146 (January 2020): 106117. http://dx.doi.org/10.1016/j.mineng.2019.106117.

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23

Gaydon, James W., Hylke J. Glass, and Richard D. Pascoe. "Method for near Infrared Sensor-Based Sorting of a Copper Ore." Journal of Near Infrared Spectroscopy 17, no. 4 (January 1, 2009): 177–94. http://dx.doi.org/10.1255/jnirs.849.

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Sorting of minerals based on near infrared (NIR) analysis is promising because many minerals have distinct “fingerprints” in the NIR region. An experimental system was customised in order to obtain accurate NIR reflectance spectra. As a test application, the NIR spectra of transects across pre-classified copper ore particles were measured. Matrices containing correlation coefficients of particle pixel–pixel spectra were subjected to principal component analysis. In addition to providing insight into the homogeneity of the particle surface, the results were used to identify key spectral features which could be used to sort product from waste particles. With a selected spectral range, it was found that the classification improved when two standard pixels relating to product and waste were inserted into the transects. While testing an equal number of particles from each rock type, it was found that a correct classification was made in 82% of all rocks. It was found that moisture had little to no effect on the sorting method.
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24

Li, Genzhuang, Bern Klein, Chen He, Zengxin Yan, Chunbao Sun, and Jue Kou. "Development of a bulk ore sorting model for ore sortability assessment—Part II: Model validation and optimisation." Minerals Engineering 172 (October 2021): 107143. http://dx.doi.org/10.1016/j.mineng.2021.107143.

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25

Reple, A., A. C. Chieregati, W. Valery, and F. Prati. "Bulk ore sorting cut-off estimation methodology: Phu Kham Mine case study." Minerals Engineering 149 (April 2020): 105498. http://dx.doi.org/10.1016/j.mineng.2018.08.006.

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26

Robben, Christopher, Pedro Condori, Angel Pinto, Ronald Machaca, and Anssi Takala. "X-ray-transmission based ore sorting at the San Rafael tin mine." Minerals Engineering 145 (January 2020): 105870. http://dx.doi.org/10.1016/j.mineng.2019.105870.

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27

Shestakov, V. V., and D. Yu Demezhko. "Evaluation of contrastivity of ore material and efficiency of large-portion sorting." Soviet Mining Science 26, no. 3 (May 1990): 281–84. http://dx.doi.org/10.1007/bf02499731.

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28

Zhang, YiRan, Nawoong Yoon, and Maria E. Holuszko. "Assessment of Sortability Using a Dual-Energy X-ray Transmission System for Studied Sulphide Ore." Minerals 11, no. 5 (May 4, 2021): 490. http://dx.doi.org/10.3390/min11050490.

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In hard rock mining, sensor-based sorting can be applied as a pre-concentration method before the material enters the mill. X-ray transmission sensors have been explored in mining since 1972. Sorting ore of acceptable grade and waste material before processing at the mill can reduce the amount of tailings per unit of valuable metal in the mining operation and have many economic benefits. Ore samples used in this paper are from a polymetallic carbonate replacement deposit (gold-silver-lead-zinc sulphide) in Southeast Europe. This paper focuses on how the Dual-Energy X-ray Transmission (DE-XRT) data is generated and used for ore characterization and sortability for this sulphide ore. The method used in the DE-XRT analysis in this project is based on the dual-material decomposition method, which is used in the medical industry for radiology. This technique can distinguish sulphides from non-sulphides. However, the correlation developed between the DE-XRT response and the metal content is lacking. As a result, the DE-XRT response can only classify the material effectively but cannot reliably predict the metal content.
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29

Gülcan, Ergin, and Özcan Y. Gülsoy. "Evaluation of complex copper ore sorting: Effect of optical filtering on particle recognition." Minerals Engineering 127 (October 2018): 208–23. http://dx.doi.org/10.1016/j.mineng.2018.08.001.

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30

Vatcha, M. T., L. B. Cochrane, and D. H. Rousell. "Preconcentration by magnetic sorting of Ni–Cu ore at Whistle mine, Sudbury, Canada." Mineral Processing and Extractive Metallurgy 109, no. 3 (December 2000): 156–60. http://dx.doi.org/10.1179/mpm.2000.109.3.156.

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31

Li, Genzhuang, Bern Klein, Chunbao Sun, and Jue Kou. "Lab-scale error analysis on X-ray fluorecence sensing for bulk ore sorting." Minerals Engineering 164 (April 2021): 106812. http://dx.doi.org/10.1016/j.mineng.2021.106812.

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32

Tsypin, E. F., T. Yu Ovchinnikova, and T. A. Efremova. "Efficiency of X-ray radiometric separation in preliminary concentration of ore." Mining informational and analytical bulletin, no. 3-1 (March 20, 2020): 431–42. http://dx.doi.org/10.25018/0236-1493-2020-31-0-431-442.

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One of the efficient approaches to improvement of mineral processing technologies is the enhancement of ore pre-treatment with preliminary concentration. A promising dressing technique is X-ray fluorescent separation applied to various minerals to date. This process efficiency depends on various factors connected with characteristics of minerals to be processed, dressability of minerals in the preliminary concentration, geological characteristics, physical and mechanical properties of minerals, specifics of the pre-treatment circuits and modes, as well as with features of X-ray fluorescent separation. The research is aimed to study the influence of the factors which govern expediency and application condition of X-ray fluorescent separation for the preliminary concentration of mineral raw materials. The research methods were modeling of hypothetical ore grading with respect to the content of ore components with plotting of limit curves of separation, testing on X-ray fluorescent separator SRF-100L, theoretical analysis of formulas for calculating ultimate dressability indices as well as analytical calculations of particle size distribution and quality of complex ore separation by the ore separation plant circuit. The research has found that efficiency of the preliminary concentration grows with the lower content of useful component in raw material and with higher degree of dissociation of this component. Efficiency of using ore separation plant circuit in the preliminary concentration depends on the ore hardness and on drilling-and-blasting design, as well as on the circuit and modes of crushing and screening at the ore separation plant, including the number of the machine sorting classes accepted in the circuit. The preliminary concentration technologies with X-ray fluorescent separation should be developed with regard to the influence exerted on the ore separation efficiency by the material constitution of ore and dissociation of mineral phases to sizes suitable for the preliminary concentration, grain size composition of the material before separation, which depends on the parameters of mining, drilling-and-blasting and pre-treatment with crushing and screening, as well as on the ore separation plant circuit and machine sorting classes. The research results are applicable to development of the preliminary ore concentration technologies with X-ray fluorescent separation
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33

Kovalenko, R. S., V. G. Morozov, and V. F. Chuprun. "Hygienic assessment of the radioactive soil sorting technique." Kazan medical journal 74, no. 6 (December 15, 1993): 410–12. http://dx.doi.org/10.17816/kazmj71421.

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When decontaminating sites of radioactive contamination of urban and industrial territories, along with organizational and technical issues related to deep exploration of the focus, the choice of storage sites for low-level radiation neopaque material (MARANOM) and the disposal of soil falling under the category of radioactive waste (RW), it is necessary to produce sorting of the recovered material. The urgency of the issue is primarily due to the fact that the volumes of soil to be buried are very significant. According to KazTISIZ specialists, in Kazan alone, these volumes are 5 thousand cubic meters. m. The cost of disposal of one cubic meter. m. RAW as of 01.03.1993 - 50 thousand rubles. The main sources of pollution are radium-containing materials used in the post-war period at some enterprises of the republic (in Kazan, Chistopol), as well as radium-containing ore at the L. Ya. Karpov chemical plant in Mendeleevsk.
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34

Annas, Muhamad, Sumari Mawardi, and Munawir Munawir. "Peningkatan Kesehatan dan Kesejahteraan Masyarakat Melalui Pendampingan Perencanaan Apresiatif Desa Di Desa Benelan Kidul Kecamatan Singojuruh Kabupaten Banyuwangi." LOYALITAS, Jurnal Pengabdian Kepada Masyarakat 3, no. 1 (June 26, 2020): 102. http://dx.doi.org/10.30739/loyal.v3i1.545.

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This dedication was carried out to improve the health and welfare of the community through the assistance of Village Appreciative Planning in Benelan Kidul Village, Singojuruh Subdistrict, Banyuwangi Regency. The results of community service show that the community realizes that the problem of waste must be handled together with all elements of the community. Clean and healthy living is the desire of all citizens. Household Waste Sorting is based on the results of the Healthy Lifestyle Training that has been carried out in each hamlet with PKK cadre participants and study group mothers. The transportation system from households is temporarily collected in a sorting place located in each hamlet, where the selection points are determined by the hamlet head. Waste sorting is carried out in temporary sorting sites located in each hamlet by sorting out Organic and Inorganic waste. Where for organic waste is managed into fertilizer while inorganic waste, especially plastic waste will be managed into plastic ore. Garbage Bank is a business unit that is under the coordination of BUMDes so that marketing of organic and inorganic waste sorting results will be coordinated through BUMDes.
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35

Dalm, Marinus, Michael W. N. Buxton, Frank J. A. van Ruitenbeek, and Jack H. L. Voncken. "Application of near-infrared spectroscopy to sensor based sorting of a porphyry copper ore." Minerals Engineering 58 (April 2014): 7–16. http://dx.doi.org/10.1016/j.mineng.2013.12.016.

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36

DEMCHENKO, O., and V. EVTEKHOV. "The Composition of the Crushing and Sorting Plants Coarse-Grained Product of the Kryvyi Rih Basin as the Secondary Iron Ore Raw Material." Mineralogical Journal 39, no. 4 (2017): 89–96. http://dx.doi.org/10.15407/mineraljournal.39.04.089.

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37

Kolacz, Jacek. "Advanced separation technologies for pre-concentration of metal ores and the additional process control." E3S Web of Conferences 18 (2017): 01001. http://dx.doi.org/10.1051/e3sconf/20171801001.

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A new sensor based sorting system has been developed at Comex, based on complex image analysis. The sorting system employs different images generated by visible light and X-ray to provide maximal information about processed particles. Application of X-ray makes it possible to analyse the internal structure of the particles, which provides a 2D image with the valuable information. The advanced system for the texture and the pattern recognition is applied to analyse these images simultaneously, to provide the required identification of the particles for efficient separation. The paper describes a number of tests during sorting of Cu-Zn-Sn ores with high separation efficiency. As an example, the Cu content is enriched from 0.4% to 1.25% and the Zn content is increased from 0.83% to 2.24%. In addition, the performance of the X-ray sorting system is described for enrichment of Zn-Pb ore and compared with the heavy media separation technology. Simplifying the pre- concentration through the use of the sorting technology can significantly reduce the cost of these operations. Finally, the operating data from the sorting system have been analysed regarding a potential use for controlling the plant operation. This can bring the new tools for control strategies for the complex processing plants.
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38

Yin, Wan Zhong, Ming Bao Liu, Qiang Li, Li Yi Duan, Ying Qiang Ma, Ying Gao, and Yue Xin Han. "Study on the X-Ray Radiation Pre-Sorting of Liaoning Chaoyang Low Grade Molybdenum Ore." Advanced Materials Research 454 (January 2012): 333–36. http://dx.doi.org/10.4028/www.scientific.net/amr.454.333.

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The test of low grade Mo ore preconcentration index according to different separation threshold value was studied in this article. The results indicated that preconcentration index varies with the block of feeded material. Under the same test conditions ,the beneficiation index of -100+60mm size class particle was better than the other grain-sized particles and too large or too small particles all can affect the preconcentration index adversely.
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39

Yin, Wan Zhong, Ming Bao Liu, Qiang Li, Li Yi Duan, Ying Qiang Ma, Ying Gao, and Yue Xin Han. "Study on the X-Ray Radiation Pre-Sorting of Liaoning Chaoyang Low Grade Molybdenum Ore." Advanced Materials Research 454 (January 2012): 333–36. http://dx.doi.org/10.4028/scientific5/amr.454.333.

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40

Lessard, Joseph, William Sweetser, Kai Bartram, Jesus Figueroa, and Larry McHugh. "Bridging the gap: Understanding the economic impact of ore sorting on a mineral processing circuit." Minerals Engineering 91 (May 2016): 92–99. http://dx.doi.org/10.1016/j.mineng.2015.08.019.

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41

José Neto, Dimas, Maurício Guimaraes Bergerman, Aaron Samuel Young, and Carlos Otávio Petter. "Pre-concentration potential evaluation for a silicate zinc ore by density and sensor-based sorting methods." REM - International Engineering Journal 72, no. 2 (June 2019): 335–43. http://dx.doi.org/10.1590/0370-44672018720155.

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42

Liu, Ming Bao, Jin Yao, Wan Zhong Yin, Li Yi Duan, Ying Gao, and Yue Xin Han. "Physical Principle of X-Ray Separatation and Pre-Sorting Experiment on the Low Grade Ore of Mo and Ni." Advanced Materials Research 454 (January 2012): 216–20. http://dx.doi.org/10.4028/www.scientific.net/amr.454.216.

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This article describes the theory foundation of X-ray separation technology and introduces the study status, configuration and work principle of X-ray separator. This paper also conducts X-ray separating experiment on the low grade ores of Mo and Ni respectively in Liaoning province. The low grade Mo ore experiment can obtain a good result with the concentrate recovery, enrichment ratio and concentrate grade being 73.11%, 2.03 and 0.130% respectively and the tailings discarding ratio being 63.70%. The low grade Ni ore experiment can obtain a good result with the concentrate recovery and enrichment ratio concentrate grade being 61.92%, 1.45and 0.64% respectively and the tailings discarding ratio being 61.63%.
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43

Shilov, A. S. "Correlation between the contents of a useful component in the ore stream and its influence on the results of extraced ore testing and sorting." Soviet Mining Science 23, no. 1 (January 1987): 55–64. http://dx.doi.org/10.1007/bf02534043.

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44

Iyakwari, Shekwonyadu, and Hylke J. Glass. "Influence of mineral particle size and choice of suitable parameters for ore sorting using near infrared sensors." Minerals Engineering 69 (December 2014): 102–6. http://dx.doi.org/10.1016/j.mineng.2014.07.014.

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45

Kinnunen, Päivi, Robert Obenaus-Emler, Jukka Raatikainen, Sylvain Guignot, Jordi Guimerà, Andreas Ciroth, and Kari Heiskanen. "Review of closed water loops with ore sorting and tailings valorisation for a more sustainable mining industry." Journal of Cleaner Production 278 (January 2021): 123237. http://dx.doi.org/10.1016/j.jclepro.2020.123237.

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46

Vishniakov, Aleksei V., Iurii O. Fedorov, and Andrei Iu Chikin. "Improving the technology of manganese ore X-ray radiometric separation." Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal 1 (March 30, 2021): 79–87. http://dx.doi.org/10.21440/0536-1028-2021-2-79-87.

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Introduction. In addition to the classical methods of manganese ore processing, a lower-cost and more environmentally friendly technology of X-ray radiometric separation (XRS) has been developed in the last twenty years. The technology has been embraced by enterprises and applied to improve the efficiency of manganese deposits development. The article provides original results of the research carried out by Irgiredmet institute concerning the development of the procedure and technology of manganese ore XRS. Research methodology. The XRS methodology is based on the X-ray fluorescence (XRF) method of elements detection common in geophysical practice. A methodological task of these method is to find manganese in ore containing not only manganese but also iron, as soon as the two elements possess characteristic X-ray radiation (CXR) close in energy and mutually affect the accuracy of their detection by the X-ray fluorescence analyzers. The chosen research methodology allowed developing a new way of keeping records of the elements when solving the problems of manganese ore sampling and sorting. Research results. A new and efficient algorithm of sampling manganese and iron has been developed and tested on different types of manganese and ferromanganese ore. The ratio of CXR of the detected elements to the total sum of the scattered radiation (SR) and these elements CXR intensity set by a special spectral coefficient k is such universal criterion which promotes to more accurate detection of manganese and iron content in lumps.
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47

Zhang, Wen, Qinghe Yuan, Shun Jia, Zhaojun (Steven) Li, and Xianhui Yin. "Multi-Objective Optimization of Forth Flotation Process: An Application in Gold Ore." Sustainability 13, no. 15 (July 26, 2021): 8314. http://dx.doi.org/10.3390/su13158314.

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In order to improve production control ability in the gold ore flotation process, the output index in this process was studied. Flotation is an effective gold recovery process. Gold concentrate grade and gold recovery rate are the key output indicators of the flotation process. However, in the existing studies exploring the impact of parameter changes on the output indicators, the control ability of the output indicators is insufficient, and the interaction between variables is inadequately considered. Therefore, a multi-objective optimization model based on response surface methodology and the non-dominated sorting genetic algorithm-II (NSGA-II) is proposed in this paper. Firstly, the experiment was designed based on the Box-Behnken principle. Based on the experimental results, the interaction between variables was analyzed and the response polynomial was fitted. Secondly, a multi-objective optimization model was constructed, and the NSGA-II was used to solve the model. Finally, an example of gold ore flotation was used to verify the effectiveness of the method. The optimal solution was a gold concentrate grade of 75.46 g/t and a gold recovery rate of 85.98%.
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Zhang, Kai Yong, and Hong Mei Yu. "Diatomite Experimental Study on New Wet Purification Process." Advanced Materials Research 1004-1005 (August 2014): 1386–90. http://dx.doi.org/10.4028/www.scientific.net/amr.1004-1005.1386.

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Wet centrifugal separation process is used to purify diatomite by analyzing the properties of diatomite raw ore in Linjiang city, Jilin province. Experimental results determine the affecting sorting important indicators, including scrubbing agent and dosage, sieving mesh, centrifugal separation. The concentration of SiO2in the final diatomite is 86.76%, reaching primary soil standard. Compared with gravity sedimentation purification process, new technology method saves much time and achieves the ideal separation effect.
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49

Liu, Bingyu, Dezhi Hao, Xianwen Gao, and Dingsen Zhang. "Optimal-Setting for Ore and Water Feeding in Grinding Process Based on Improved Case-Based Reasoning." Applied Sciences 11, no. 13 (June 23, 2021): 5835. http://dx.doi.org/10.3390/app11135835.

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The grinding product particle size is the most crucial operational index of mineral grinding processes. The size and consistency of the product directly affects the subsequent dressing and sintering. In this paper, a novel expert system is proposed for guiding the operating variables to keep the product stable with the wildly varying ore properties. First, case-based reasoning (CBR) is introduced to describe the whole grinding process with the historical data and expert experience. Second, the generative adversarial network (GAN) is employed to extend the raw data to enhance the flexibility of CBR. Moreover, the weights of different features in CBR is optimized by improved non-dominated sorting genetic algorithm II (NSGA-II). Finally, the proposed method is validated by a set of actual data collected from a Chinese dressing plant. The experimental result demonstrates the effectiveness of the proposed method.
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Grotowski, Andrzej, and Kajetan Witecki. "Research on the Possibility of Sorting Application for Separation of Shale and/or Gangue from the Feed of Rudna Concentrator." E3S Web of Conferences 18 (2017): 01004. http://dx.doi.org/10.1051/e3sconf/20171801004.

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Shale, which occurs in the copper ore deposits belonging to KGHM Polska Miedź S.A., is the reason for a number of difficulties, at the stage of not only processing but also smelting. Gangue, in turn, getting in a feed during mining is a useless load of a concentrator and also contributes to lowering concentrating indexes. Its content in a feed is being evaluated at 15-30%. The multiple attempts to solve those issues by the methods of conventional mineral processing or even selective mining failed. In the range of work, research on the lithological composition and Cu content in 300 individual particles (selected from Rudna feed) have been carried out. Using those results, the simulation of gangue separation with an application of sorting have been done. The positive results have been received: introduction of a sorting operation causes, theoretically, removing of approximately 20-30% sorting feed mass as final tailings with Cu losses not bigger than 5-10%. It means that the capacity of Rudna concentrator can be increased proportionally. To confirm those results, industrial sorting trials are necessary, when appropriate sorters will become available. Additionally, one should take also into account that the finest classes of feed (-12.5 mm) could not be concentrated in a sorter. In the range of work, the preliminary tests of the industrial sorter (PRO Secondary Color NIR) for separation of the shale concentrate from Rudna concentrator feed have been carried out. The shale concentrates were received both from 12.5-20 mm class and +20 mm class. The concentrates produced from the coarse classes, for both technological sides had shale content at the level of 48-49%, with recovery of 52.9-60%. In the case of the finer class, shale content in the concentrates for both technological sides amounts to 30.9-35%, at the slightly lower recoveries than for coarse classes. Cu and Corg behavior in the sorting process were checked also, however, the results turned out to be not very interesting. Because the results of shale concentrate production by sorting have a significant potential for improvement, the further researches in this direction have been recommended, however, making them start off from elaboration of a technology for shale concentrate processing and calculation of a total balance of a concentrating process involving flotation and separation.
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