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Prediction of Ground Vibrations Using Neural Network in a Peruvian MineBy Pavel A. Torres, Darwin Torres, Sandro Huaman
Given the limited efficiency of blast-induced ground vibrations prediction empirical models, due to the complex geological system from a Peruvian mine. An artificial neural network was built in order
Feb 1, 2020
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Monitoring and Evaluation of Ground Movements Above a Deep Longwall Mine in the Eastern United StatesThe prediction and control of ground deformations due to underground mining are important considerations in the permitting, planning, and monitoring of coal mining operations. The prediction of mining
Jan 7, 2020
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Empirical Approach Based Estimation of Charge Factor and Dimensional Parameters in Underground Blasting "Mining, Metallurgy & Exploration (2021)"By VIVEK KUMAR HIMANSHU, M. P. Roy, P. K. Singh, A. K. Mishra, RAVI SHANKAR
Blasting with the aim to reduce oversize boulders in underground has many hurdles due to limited accessibilities and poor site conditions. Optimized drilling and blasting parameters can help to achiev
Jan 4, 2020
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An evaluation of an integrated screening and particle sorting grade engineering flowsheet, G.J. Wilkie, L. Keeney, P. Walters, L. Dyer, and B. TadesseBy L Dyer, G. J. Wilkie, P. Walters, B Tadesse, L. Keeney
Grade Engineering® is a term trademarked by the Cooperative Research Centre for Optimising Resource Extraction (CRC ORE) and includes five key levers for upgrading ores and rejecting waste prior to ex
Jan 1, 2020
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Investigation of nickel electrowinning parameters on the amount of sulfur and lead impurities, M. Mohammadi, K. Khazen, D.N. EsfahaniBy D. N. Esfahani, K. Khazen, M. Mohammadi
Electrowinning is one of the nickel recovery processes from solutions obtained from the leaching of nickel sources. Every year significant amounts of nickel products are used in various industrial pro
Jan 1, 2020
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Modelling pneumatic flotation cells for circuit design and optimization, E. Tabosa, S. Vianna, W. Valery, K. Duffya, P. Holtham, L. Pylea, and B. AndradeBy E. Tabosa, S. Vianna, K. Duffy, W. Valery, B. Andrade, L. Pyle, P. Holtham
Pneumatic flotation cells are high-intensity flotation machines with rapid kinetics, resulting in short residence times. Examples include the Jameson, PneuFlot and ImhoFlot cells. These cells do not u
Jan 1, 2020
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A new paradigm for metal activation in zinc sulfide flotation, J. Jankolovits and T. BhambhaniBy T. Bhambhani, J. Jankolovits
Sphalerite flotation using copper sulfate has been performed in the industry for decades and the mechanism of Cu activation is well established. Despite its ubiquity, many practical questions surround
Jan 1, 2020
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Determining the expected and actual measurement performance of a by-line element analyser on a final product stream at Exxaro’s Grootegeluk 7 & 8 plants, H.N. Engelbrecht and M.V RoperBy and M. V Roper, H. N. Engelbrecht
Quality control interventions emanate from process upsets and trends that move product quality beyond the natural variation expected in a stable process. The ability to detect upset conditions and rea
Jan 1, 2020
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The MINETRAIN project – practical training courses for mining experts in real-life conditions, K. Luolavirta, G. Barakos , M. de Paiva Bueno, and S. LuukkanenBy M. de Paiva Bueno, G. Barakos, S. Luukkanen, K. Luolavirta
Lifelong development of skills and knowledge of mining professionals has been recognised worldwide as a challenge for the development of a sustainable mining sector. Practical training and learning ov
Jan 1, 2020
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Effect of mixing feed of rougher with its last five cells concentrate on performance of flotation circuit at the Sarcheshmeh copper concentrator plant No. 1, A. Noury, F. Nakhaei, and S. GhodratiBy F. Nakhaei, A. Noury, S. Ghodrati
To achieve maximum efficiency in any purification stage, the flotation should be continued until the concentrate grade reaches the feed grade. During sampling from rougher cells of the Iranian Sarches
Jan 1, 2020
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The same-level arrangement technology of flotation plant: Fundamentals and practice, M. Zhang, S. Shi, X. Xia, Z. Shen, and Y. YangBy Y. Yang, M. Zhang, X. Xia, S Shi, Z. Shen
A stepwise arrangement of flotation cells is the most common layout of a flotation circuit in the mineral processing industry. In such a design, slurry flows from upstream to downstream by means of gr
Jan 1, 2020
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Techno-economic comparison of pre-concentration options for a Ag-Pb-Zn deposit, L. Pyle, W. Valery, P. Holtham, and K. DuffyBy K. Duffy, W. Valery, L. Pyle, P. Holtham
A conceptual scoping study was conducted to investigate pre-concentration options for upgrading ore from an Ag-Pb-Zn deposit. The low grade of the ore would result in only modest economic returns, giv
Jan 1, 2020
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Non-cyanide gold recovery methods for refractory sulfide raw material pressure oxidation, A.V. Epiforov, S.V. Balikov, S.S. Gudkov, and E.D. MusinBy E. D. Musin, S. S. Gudkov, A. V. Epiforov, S. V. Balikov
The standard technology for processing of gold-bearing sulfide raw material has many problems associated with the use of cyanide as a gold lixiviant. Therefore, many tests to find alternative gold rec
Jan 1, 2020
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Investigating adsorption mechanism of humic acid sodium salt on metallic-ion bearing silicates and iron oxide, A. Tohry, R. Dehghan, M. Zarei, S.C. ChelganicBy R. Dehghan, M. Zarei, A. Tohry, S. C. Chelgani
Typical depressants for selective reverse flotation of iron oxides from complex silicates do not generally show high levels of efficiency. Therefore, as a hot topic, there are several ongoing investig
Jan 1, 2020
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On the accuracy of discrete element method (DEM) simulations: Rolling friction effects, E. Nematollahi, A. Ghasemi, and S. BanisiBy S. Banisi, A. Ghasemi, E. Nematollahi
Discrete element method (DEM) has been used as a popular simulation method to verify designs by visualising how material will flow through complex equipment geometries. Although DEM simulation is a po
Jan 1, 2020
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Reinforcement learning control of a SAG mill grinding circuit: first impressions and implications for process control, F. Reyes, M. Hilden, M. Yahyaei, and G. ForbesBy F. Reyes, M. Hilden, G. Forbes, M. Yahyaei
Since AlphaGo defeated the best human player in the game of Go in 2016 - something thought to be an impossible achievement - machine learning, deep learning and reinforcement learning have caught the
Jan 1, 2020
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Review of important developments since the 1st IMPC in 1952 in the understanding of the effects of chemical factors on flotation, C.T. O’ConnorBy C. T. O’Connor
Since the first IMPC took place in London in 1952 there have been many developments in our understanding of flotation, both in terms of chemical and physical factors influencing the process. Many of t
Jan 1, 2020
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Measuring and optimizing flotation metal recovery in the digital era, O.A. BascurBy O. A. Bascur
Ores are becoming extremely variable with mineralogy and hardness disturbing the grinding and flotation circuits. The current grinding and flotation sensors provide large amounts of data for process o
Jan 1, 2020
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Comparison between traditional coal washability determination methods and the RhoVol density analyser, Q.P. Campbell, M. le Roux, and M. FofanaBy M. Le Roux, Q. P. Campbell, M. Fofana
The determination of densimetric information to predict coal washabilities is an important step in characterising the feed material, as well as the performance of operating plants. However, traditiona
Jan 1, 2020
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Exploring the use of chemical indicators for determining recoverable value in PGM tailings by froth flotation, R.M. Manenzhe, M. Tadie, and K.C. CorinBy K. C. Corin, M. Tadie, R. M. Manenzhe
The near depletion of high-grade ores, among other factors, has necessitated the consideration of alternative PGM sources. Various factors in the metallurgical processing of ores result in valuable mi
Jan 1, 2020