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A Review on Alternative Gold Recovery Re-agents to Cyanide 被引量:2
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作者 Mertol Gökelma Alexander Birich +1 位作者 srecko stopic Bernd Friedrich 《Journal of Materials Science and Chemical Engineering》 2016年第8期8-17,共10页
The importance of gold recovery from low grade ores and flotation tailings is continuously increasing due to raising gold demand and thereby high gold prices. However, due to raising social awareness of the ecological... The importance of gold recovery from low grade ores and flotation tailings is continuously increasing due to raising gold demand and thereby high gold prices. However, due to raising social awareness of the ecological impacts of cyanidic gold extraction and environ-mental specifications, the development and the implementation of alternative hydrometallurgical extraction processes have been a focus for many research institutions in last decades. Present work gives a comparison between compatible extraction reagents, with focus on less harmful processes. The target of this review is to point out the best cyanide-free processes of following methods and reagents: Bioleaching, Chlorination, Aqua Regia, Bromine, Thiocyanate, Thiosulfate and Thiourea leaching. For this propose, the gold leaching reagents are described and discussed in terms of their environmental and economical points of view. As result of this comparison, thiourea stands out as the most promising alternative gold leaching reagent to cyanide. 展开更多
关键词 HYDROMETALLURGY LEACHING CYANIDE Alternative Reagents Recovery
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Use of ionic liquid in leaching process of brass wastes for copper and zinc recovery 被引量:4
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作者 Ayfer Kilicarslan Muhlis Nezihi Saridede +1 位作者 srecko stopic Bernd Friedrich 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2014年第2期138-143,共6页
Brass ash from the industrial brass manufacturer in Turkey was leached using the solutions of ionic liquid (IL) 1-butyl-3-methyl-imi-dazolium hydrogen sulfate ([bmim]HSO4) at ambient pressure in the presence of hy... Brass ash from the industrial brass manufacturer in Turkey was leached using the solutions of ionic liquid (IL) 1-butyl-3-methyl-imi-dazolium hydrogen sulfate ([bmim]HSO4) at ambient pressure in the presence of hydrogen peroxide (H2O2) and potassium peroxymonosulfate (oxone) as the oxidants. Parameters affecting leaching efficiency, such as dissolution time, IL concentration, and oxidizing agent addition, were investigated. The results show that [bmim]HSO4 is an efficient IL for the brass ash leaching, providing the dissolution efficiencies of 99%for Zn and 24.82%for Cu at a concentration of 50vol%[bmim]HSO4 in the aqueous solution without any oxidant. However, more than 99%of zinc and 82%of copper are leached by the addition of 50vol%H2O2 to the [bmim]HSO4 solution. Nevertheless, the oxone does not show the promising oxidant behavior in leaching using [bmim]HSO4. 展开更多
关键词 leaching recovery COPPER zinc ionic liquids OXIDANTS
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Computer modeling of high-pressure leaching process of nickel laterite by design of experiments and neural networks 被引量:1
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作者 Milovan Milivojevic srecko stopic +2 位作者 Bernd Friedrich Boban Stojanovic Dragoljub Drndarevic 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2012年第7期584-594,共11页
Due to the complex chemical composition of nickel ores, the requests for the decrease of production costs, and the increase of nickel extraction in the existing depletion of high-grade sulfide ores around the world, c... Due to the complex chemical composition of nickel ores, the requests for the decrease of production costs, and the increase of nickel extraction in the existing depletion of high-grade sulfide ores around the world, computer modeling of nickel ore leaching process be- came a need and a challenge. In this paper, the design of experiments (DOE) theory was used to determine the optimal experimental design plan matrix based on the D optimality criterion. In the high-pressure sulfuric acid leaching (HPSAL) process for nickel laterite in "Rudjinci" ore in Serbia, the temperature, the sulfuric acid to ore ratio, the stirring speed, and the leaching time as the predictor variables, and the degree of nickel extraction as the response have been considered. To model the process, the multiple linear regression (MLR) and response surface method (RSM), together with the two-level and four-factor full factorial central composite design (CCD) plan, were used. The proposed re- gression models have not been proven adequate. Therefore, the artificial neural network (ANN) approach with the same experimental plan was used in order to reduce operational costs, give a better modeling accuracy, and provide a more successful process optimization. The model is based on the multi-layer neural networks with the back-propagation (BP) learning algorithm and the bipolar sigmoid activation function. 展开更多
关键词 nickel laterite LEACHING computer simulation design of experiments (DOE) response surface method (RSM) neural networks
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