Open Access
SHS Web Conf.
Volume 163, 2023
2023 8th International Conference on Social Sciences and Economic Development (ICSSED 2023)
Article Number 03006
Number of page(s) 4
Section Corporate Decision Making and Brand Operations Sales
Published online 28 April 2023
  1. 2004 NASA cost estimating handbook[R]. NASACost Annlysis Divisiom.2004. [Google Scholar]
  2. HeF., ZhangL. Prediction model of end-point phosphorus content in BOF steelmaking process based on PCA and BP neural network[J]. Journal of Process Control, 2018,66:51–58. [CrossRef] [Google Scholar]
  3. SinghV, RaoSM. Application of image processing and radial basis neural network techniques for ore sorting and ore classification[J]. Minerals Engineering,2005, 18(15):1412–1420. [CrossRef] [Google Scholar]
  4. MccoyJT, AuretL. Machine learning applications in minerals processing: A review[J]. Minerals Engineering,2019,132:95–109. [CrossRef] [Google Scholar]
  5. Le EzQ. Sulfur flotation reagent test in a concentrator [J]. Modern Mining,2019 (9):133–135. [Google Scholar]
  6. LiuZZ, LiuY. HeXJ, et al. Recovery of rare earth and phosphorus from a rare earth-bearing apatite[J]. Conservationn and Utilization of Mineral Resources,2017(6):41–44. [Google Scholar]
  7. DuJ, ShangX, ShiJ, et al. Removal of chromium from industrial wastewater by magnetic flocculation treatment: Experimental studies and PSO-BP modelling[J]. Journal of Water Process Engineering, 2022, 47: 102822. [CrossRef] [Google Scholar]
  8. ZarieM, MassinaeiM. Flotation froth image classification using convolutional neural networks[J]. Minerals Engineering, 2020, 155(C). [Google Scholar]
  9. NatsuoO, YoheiM, NarihoroO, et al. Automated Identification of Mineral Types and Grain Size Using Hyperspectral Imaging and Deep Learning for Mineral Processing[J]. Minerals, 2020, 10(9). [Google Scholar]
  10. Y.F.C.A. Deep learning in mining and mineral processing operations: a review[J]. IFACPapersOnLine, 2020, 53(2). [Google Scholar]
  11. YangjZ, MaoyL, ChenxQ, et al. Research on resource disposal and comprehensive utilization of a certain tailings[J]. Multipurpose Utilization of Mineral Resources, 2019(6):117–122+156. [Google Scholar]
  12. LidJ, GuocH, YuancX, et al. Study on gold recover from cyanide tailings floatation sulfur concentrate roasting residue[J]. Multipurpose Utilization of Mineral Resources,2019(5):107–110. [Google Scholar]
  13. ZhanglH. Research on the treatment of cyanide-containing wastewater by hydrogen peroxide oxidation method and activated sludge method[D]. Shanghai: East China University of Science and Technology, 2015. [Google Scholar]
  14. ZhanghY, Xiaoz, ShenlN, et al. Experiment and engineering application of hydrogen peroxide oxidation method to treat low-concentration cyanide-containing wastewater[J]. Environmental Science and Technology, 2010, 23(3):49–51. [Google Scholar]
  15. Taod, Sobhya. Nanobubble effects onhydrodynamic interactions between particles and bubbles[J]. Powder Technology, 2019,346:385–395. [CrossRef] [Google Scholar]
  16. Zhangf, Xingy, Changg, et al. Enhanced lignite flotation using interfacial nanobubbles based on temperature difference method[J]. Fuel, 2021,293:120313. [CrossRef] [Google Scholar]
  17. LeejG, FlumerfeltrW. A refined approach to bubble nucleation and polymer foaming process: dissolved gas and cluster size effects[J]. Journal of Colloid and Interface Science, 1996,184(2):335–348. [CrossRef] [Google Scholar]
  18. ErikssonjC, Ljunggrens. On the mechanically unstable free energy minimum of a gas bubble which is submerged in water and adheres to a hydrophobic wall[J]. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 1999,159(1):159–163. [CrossRef] [Google Scholar]
  19. YountdE, KunkletD. Gas nucleation in the vicinity of solid hydrophobic spheres[J]. Journal of Applied Physics, 1975,46(10):4484–4486. [CrossRef] [Google Scholar]
  20. Zhouw,WUC, LVH, et al. Nanobubblesheterogeneous nucleation induced by temperature rise and its influence on minerals flotation[J]. Applied Surface Science, 2020,508:145282. [CrossRef] [Google Scholar]
  21. Luc, YangcR, ZhangsQ, et al. Experimental study on the centrifugal separation of grinding classification products for a gold mine in Inner Mongolia[J]. Multipurpose Utilization of Mineral Resources, 2021(3):152–157. [Google Scholar]
  22. HuangyH, SunjM, ZhangyT, et al. Application of Knelson Concentrator KC-MD3 in grinding circuit of a goldmine[J]. Mining and Metallurgical Engineering, 2019,39 (3):55–58. [Google Scholar]
  23. DusH, PanbL, Xial, et al. Experimental study on beneficiation of arsenic/carbon-bearing refractory of low-grade gold ore containing high sulfur[J]. Metal Mine, 2020(11):90–94. [Google Scholar]
  24. TiansG, CuilF, WangjR, et al. Process mineralogy and factors affecting mineral processing for a foreign copper-lead-zinc polymetallic ore[J]. Multipurpose Utilization of Mineral Resources, 2019(1):78–82. [Google Scholar]
  25. Chenq, YanghY,ChengM, et al. Application of Knelson Gravity Concentration in Quartz Vein Type Gold Beneficiation Process in China[J]. Gold Science and Technology, 2017, 25(5):73–79. [Google Scholar]
  26. Liangk. Research on the key technology of leaching sulfurcontaining gold concentrate with a new type of environmental protection agent [D]. Ganzhou: Jiangxi University of Science and Technology, 2018. [Google Scholar]
  27. Wangy, Wangj, LixY, et al. Process mineralogy study of the gold deposit in western Sichuan area and its influence on mineral Processing technology [J]. Multipurpose Utilization of Mineral Resources, 2021(4):206–210. [Google Scholar]
  28. Liul, WusJ, Zhouy. Process of Gravity, Flotation and Cyanide for a High-grade Gold Ore in Suichuan Jiangxi [J]. Multipurpose Utilization of Mineral Resources, 2015(4):24–26+34. [Google Scholar]
  29. ZhucH, MingpT, FanghS, et al. Research and practice on mineral environmental processing technologies for a gold flotation tailings from Qinghai province [J]. Multipurpose Utilization of Mineral Resources, 2016(4):85–89. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.