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复杂铜精矿除锑的建模与工艺优化(英文)
引用本文:Samuel Ayowole AWE,Mohammad KHOSHKHOO,Paul KRUGER,ke SANDSTRM. 复杂铜精矿除锑的建模与工艺优化(英文)[J]. 中国有色金属学会会刊, 2012, 22(3): 675-685. DOI: 10.1016/S1003-6326(11)61231-4
作者姓名:Samuel Ayowole AWE  Mohammad KHOSHKHOO  Paul KRUGER  ke SANDSTRM
作者单位:Division of Minerals and Metallurgical Engineering,Department of Civil,Environmental and Natural Resources Engineering,Lulea University of Technology,SE-971 87 Lulea,Sweden;Boliden Mineral AB,SE-936 81 Boliden,Sweden
摘    要:
对一种含1.69%Sb和0.14%Sn的铜精矿进行碱性硫化物浸出以除去Sb和Sn,对浸出条件建立数学模型,并对工艺条件进行优化。采用响应面方法并结合面心立方中央复合设计来优化工艺参数。选取浸出温度、硫化物浓度和固体含量作为变量参数,而将Sb和Sn的浸出率和达到浸出90%Sb所需时间作为响应参数。结果表明:温度和硫化物浓度对Sb和Sn的浸出影响显著,而固体含量的影响不显著。建立了一个数学模型来描述浸出条件,实验验证了该模型是可靠与准确的。

关 键 词:碱性硫化物湿法冶金    黝铜矿  浸取优化  响应面方法  面心立方中央复合设计
收稿时间:2011-08-03

Modelling and process optimisation of antimony removal from a complex copper concentrate
Samuel Ayowole AWE,Mohammad KHOSHKHOO,Paul KRUGER,Åke SANDSTRÖM. Modelling and process optimisation of antimony removal from a complex copper concentrate[J]. Transactions of Nonferrous Metals Society of China, 2012, 22(3): 675-685. DOI: 10.1016/S1003-6326(11)61231-4
Authors:Samuel Ayowole AWE  Mohammad KHOSHKHOO  Paul KRUGER  Åke SANDSTRÖM
Affiliation:Samuel Ayowole AWE1,Mohammad KHOSHKHOO1,Paul KRUGER2,ke SANDSTRM1 1.Division of Minerals and Metallurgical Engineering,Department of Civil,Environmental and Natural Resources Engineering,Lulea University of Technology,SE-971 87 Lulea,Sweden;2.Boliden Mineral AB,SE-936 81 Boliden,Sweden
Abstract:
The modelling and optimization for the alkaline sulphide leaching of a complex copper concentrate containing 1.69% Sb and 0.14% Sn were studied.Response surface methodology,in combination with central composite face-centred design(RSM-CCF),was used to optimise the operating parameters.The leaching temperature,sulphide ion concentration and solid concentration were chosen as the variables,and the response parameters were antimony and tin recovery,and the time required to achieve 90% Sb dissolution.It was confirmed that the leaching process was strongly dependent on the reaction temperature as well as the sulphide ion concentration without any significant dependence on the solid concentration.Furthermore,a mathematical model was constructed to characterise the leaching behaviour.The results from the model allow identification of the most favourable leaching conditions.The model was validated experimentally,and the results show that the model is reliable and accurate in predicting the leaching process.
Keywords:alkaline sulphide hydrometallurgy  antimony  tetrahedrite  leaching optimization  response surface methodology  central composite face-centred design
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