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Occurrence mechanism of silicate and aluminosilicate minerals in Sarcheshmeh copper flotation concentrate 被引量:7
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作者 H.R.Barkhordari1 E.Jorjani1 +1 位作者 A.Eslami m.noaparast 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2009年第5期494-499,共6页
The Sarcheshmeh copper flotation circuit is producing 5× 10^4 t copper concentrate per month with an averaging grade of 28% Cu in rougher, cleaner and recleaner stages. In recent years, with the increase in the o... The Sarcheshmeh copper flotation circuit is producing 5× 10^4 t copper concentrate per month with an averaging grade of 28% Cu in rougher, cleaner and recleaner stages. In recent years, with the increase in the open pit depth, the content of aluminosilicate minerals increased in plant feed and subsequently in flotation concentrate. It can motivate some problems, such as unwanted consumption of reagents, decreasing of the copper concentrate grade, increasing of Al2O3 and SiO2 in the copper concentrate, and needing a higher temperature in the smelting process. The evaluation of the composite samples related to the most critical working period of the plant shows that quartz, illite, biotite, chlorite, orthoclase, albeit, muscovite, and kaolinite are the major Al2O3 and SiO2 beating minerals that accompany chalcopyrite, chalcocite, and covellite minerals in the plant feed. The severe alteration to clay minerals was a general rule in all thin sections that were prepared from the plant feed. Sieve analysis of the flotation concentrate shows that Al2O3 and SiO2 bearing minerals in the flotation concentrate can be decreased by promoting the size reduction from 53 to 38 μm. Interlocking of the Al2O3 and SiO2 bearing minerals with chalcopyrite and chalcocite is the occurrence mechanism of silicate and aluminosilicate minerals in the flotation concentrate. The dispersed form of interlocking is predominant. 展开更多
关键词 COPPER ALUMINOSILICATE SILICATE FLOTATION
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Bioleaching of sphalerite sample from Kooshk lead-zinc tailing dam 被引量:5
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作者 J.V.MEHRABANI S.Z.SHAFAEI +2 位作者 m.noaparast S.M.MOUSAVI M.M.RAJAEI 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2013年第12期3763-3769,共7页
The zinc extraction from Kooshk lead-zinc tailing dam’s sample was investigated by bioleaching method. The Kooshk lead-zinc deposit/mine is located in Yazd province, Iran, and its tailing dam contains about 3.64%zinc... The zinc extraction from Kooshk lead-zinc tailing dam’s sample was investigated by bioleaching method. The Kooshk lead-zinc deposit/mine is located in Yazd province, Iran, and its tailing dam contains about 3.64%zinc, 0.97%lead and 24.18%iron. Experiments were designed and carried out by a mixed culture of mesophile bacteria as well as a mixed culture of moderate thermophile strain in the shake flasks. The results indicated that, more than 90% of sphalerite was dissolved during 14 d, while without bacteria, 44% of Zn was merely extracted. In addition, some experiments were performed in the absence of the bacterial medium (9K). The results of these experiments indicated significant difference in Zn extraction with and without 9K until the 10th day of bioleaching, but after that the Zn extraction was improved and the same extraction was achieved at the end of bioleaching tests. This improvement can be attributed to the increase of the number of bacteria or Fe3+concentration at the last days of leaching. Zn extraction kinetics of moderate thermophile bacteria was significantly higher than that of the mesophile, therefore sphalerite was successfully dissolved in preference to the pyrite using moderate thermophile bacteria in a lower redox potential. 展开更多
关键词 BIOLEACHING PYRITE TAILING SPHALERITE
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Empirical model for bio-extraction of copper from low grade ore using response surface methodology 被引量:2
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作者 M.YAGHOBI MOGHADDAM S.Z.SHAFAEI +5 位作者 m.noaparast F.DOULATI ARDEJANI H.ABDOLLAHI M.RANJBAR M.SCHAFFIE Z.MANAFI 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2015年第12期4126-4143,共18页
The copper extraction in shaking bioreactors was modeled and optimized using response surface methodology(RSM). Influential parameters in the mesophilic bioleaching process of a low-grade copper ore including p H va... The copper extraction in shaking bioreactors was modeled and optimized using response surface methodology(RSM). Influential parameters in the mesophilic bioleaching process of a low-grade copper ore including p H value, pulp density, and initial concentration of ferrous ions were comprehensively studied. The effect of leaching time on the response(copper extraction) at the 1st, 4th, 9th, 14 th and 22 nd days of treatment was modeled and examined. The central composite design methodology(CCD) was used as the design matrix to predict the optimal level of these parameters. Then, the model equation at the 22 nd day was optimized using the quadratic programming(QP) to maximize the total copper extraction within the studied experimental range. Under the optimal condition(initial p H value of 2.0, pulp density of 1.59%, and initial concentration of ferrous ions of 0 g/L), the total copper extraction predicted by the model is 85.98% which is significantly close to that obtained from the experiment(84.57%). The results show that RSM could be useful to predict the maximum copper extraction from a low-grade ore and investigate the effects of variables on the final response. Besides, a couple of statistically significant interactions are derived between p H value and pulp density as well as p H value and initial ferrous ion concentration which are precisely interpreted. However, there is no statistically significant interaction between the initial ferrous ion concentration and the pulp density. Additionally, the response at optimal levels of p H value and pulp density is found to be independent on the level of initial ferrous concentration. 展开更多
关键词 modeling optimization bacterial leaching response surface methodology copper extraction copper ore
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Estimation of diameter and surface area flux of bubbles based on operational gas dispersion parameters by using regression and ANFIS 被引量:4
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作者 B.Shahbazi B.Rezai +2 位作者 S.Chehreh Chelgani S.M.Javad Koleini m.noaparast 《International Journal of Mining Science and Technology》 SCIE EI 2013年第3期343-348,共6页
Adaptive neuro fuzzy inference system (ANFIS) procedure and regression methods were used to predict the Sauter mean bubble (bubble diameter) and surface area flux of the bubble in a flotation process. The operational ... Adaptive neuro fuzzy inference system (ANFIS) procedure and regression methods were used to predict the Sauter mean bubble (bubble diameter) and surface area flux of the bubble in a flotation process. The operational conditions of flotation, impeller peripheral speed, superficial gas velocity, and weight percent solids were used as inputs of methods. By using the mentioned operational conditions, the non linear regression results showed that Sauter mean, and surface area flux of the bubble are predictable variables, where the coefficients of determination (R 2 ) are 0.57 and 0.74, respectively. To increase the accuracy of prediction an ANFIS model with cluster radius of 0.4 was applied. ANFIS model was capable of estimating both Sauter mean, and surface area flux of the bubble, where in a testing stage, satisfactory correlations, R 2 = 0.78, and 0.86, were achieved for Sauter mean, and surface area flux of bubble, respectively. Results show that the proposed ANFIS model can accurately estimate outputs and be used in order to predict the parameters without having to conduct the new experiments in a laboratory. 展开更多
关键词 Bubble diameter Bubble surface area flux Flotation Regression ANFIS
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A mathematical model to simulate Heap(bio)-leaching process:An exact conceptual model,Homotopy theory and comparative insights with conventional methods
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作者 M.Yaghobi Moghaddam S.Z.Shafaei Tonkaboni +1 位作者 m.noaparast F.Doulati Ardejani 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2017年第1期271-296,共26页
This paper attempts to address some nonlinear differential equations which describe main mechanisms governing heap(bio)leaching process as an important metallurgical facility in mining and mineral processing industrie... This paper attempts to address some nonlinear differential equations which describe main mechanisms governing heap(bio)leaching process as an important metallurgical facility in mining and mineral processing industries.The Homotopy Perturbation Method(HPM),Finite Volume Method and Analytical(Laplace)Method have been employed to provide proper solutions for these equations.Comparison was made between the methods and agreement was close;considering the fact that the proposed solution in comparison with the others provided a remarkable accuracy in dealing with nonlinear problems associated with mining and mineral processing industries.The maximum error of HPM in relation to the analytical solution was 0.02.The numerical finite volume method incorporating a computational fluid dynamics model termed PHOENICS provided rational and accurate results;describing that many chemical and biological processes extremely affect the transportation mechanism of the aqueous compounds in a heap structure and subsequently on the process efficiency.Besides,all solution methods presented to simulate heap leaching process provided valuable information related to the time dependence concentrations of dissolved compounds.The results obtained from this study can be effectively applied to manage the heap leaching costs to make the process feasible. 展开更多
关键词 Diffusion-advection-reaction equations nonlinear problems Homotopy perturbation method finite volume method analytical solution Heap(bio)-leaching
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