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| 1 | Occurrence mechanism of silicate and aluminosilicate minerals in Sarcheshmeh copper flotation concentrate显示文摘The Sarcheshmeh copper flotation circuit is producing 5×104 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 bearing 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. | H.R.Barkhordari1 E.Jorjani1 A.Eslami M.Noaparast | 2009 | International Journal of Minerals,Metallurgy and Materials2009，16，5： | 7 |
| 2 | 伊朗Kooshk铅-锌尾矿坝闪锌矿的生物浸出(英文)显示文摘将取自伊朗Yazd省Kooshk铅-锌尾矿坝的闪锌矿样进行生物浸出,并对比研究不同条件下的锌浸出率。Kooshk铅-锌尾矿坝含有3.64%锌、0.97%铅和24.18%铁。先将混合嗜温菌株、混合中度嗜热菌株进行摇瓶培养,然后在9K培养基中再次培养。在浸出闪锌矿的14 d内,在有菌株的情况下,闪锌矿的浸出率达90%,而没有菌株的情况下,只有44%的闪锌矿被浸出。实验结果表明,在有菌株浸出的前10 d,有没有9K培养液对锌的浸出率有明显影响,但随后其差别不明显,到最后趋于相同。锌浸出率的提高与细菌菌落数和Fe3+浓度的增加有关。中度嗜热菌浸取锌的动力学要求明显高于嗜温菌的,因此,在中度嗜热菌株存在的情况下,在低的氧化电位下闪锌矿优先于黄铁矿溶解而被浸出。 | J.V.MEHRABANI S.Z.SHAFAEI M.NOAPARAST S.M.MOUSAVI M.M.RAJAEI | 2013 | Transactions of Nonferrous Metals Society of China2013，23，12： | 5 |
| 3 | Estimation of diameter and surface area flux of bubbles based on operational gas dispersion parameters by using regression and ANFIS显示文摘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. | B.Shahbazi B.Rezai S.Chehreh Chelgani S.M.Javad Koleini M.Noaparast | 2013 | International Journal of Mining Science and Technology2013，23，3： | 4 |
| 4 | 从低品位铜矿石中生物浸出铜的基于响应面方法的经验模型(英文)显示文摘使用响应面方法对在摇动的生物反应器里浸出铜进行模拟和优化。采用中温细菌生物浸出低品位铜矿石,研究浸矿过程参数的影响,包括p H值、矿浆浓度、亚铁离子起始浓度。检测了浸出1、4、9、14和24天后的铜浸出率,对浸出时间对浸出率的影响进行建模。采用中心组合设计法(CCD)建立模型,以预测最佳参数值。采用二次方程建模对实验范围内浸出22天的参数进行优化,以达到最大铜浸出率。在最佳条件下(初始p H值2.0,矿浆浓度1.59%,亚铁离子浓度为0)模型预测的铜浸出率为85.98%,这非常接近实验结果(84.57%)。对p H值和矿浆浓度之间以及p H值和亚铁离子浓度之间的相互作用的影响进行研究。结果显示,亚铁离子起始浓度和矿浆浓度之间没有明显的相互作用,而且发现在最佳p H值和矿浆浓度下,铜的浸出率与亚铁离子起始浓度值没有关系。 | M.YAGHOBI MOGHADDAM S.Z.SHAFAEI M.NOAPARAST F.DOULATI ARDEJANI H.ABDOLLAHI M.RANJBAR M.SCHAFFIE Z.MANAFI | 2015 | Transactions of Nonferrous Metals Society of China2015，25，12： | 2 |
| 5 | A mathematical model to simulate Heap(bio)-leaching process:An exact conceptual model,Homotopy theory and comparative insights with conventional methods显示文摘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. | M.Yaghobi Moghaddam S.Z.Shafaei Tonkaboni M.Noaparast F.Doulati Ardejani | 2017 | International Journal of Modeling, Simulation, and Scientific Computing2017，8，1： | 0 |
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