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采用响应面方法和中心复合旋转设计对低品位锰矿浸出过程建模与优化(英文)
引用本文:Dariush AZIZI,Sied Ziaedin SHAFAEI,Mohammad NOAPARAST,Hadi ABDOLLAHI. 采用响应面方法和中心复合旋转设计对低品位锰矿浸出过程建模与优化(英文)[J]. 中国有色金属学会会刊, 2012, 22(9): 2295-2305. DOI: 10.1016/S1003-6326(11)61463-5
作者姓名:Dariush AZIZI  Sied Ziaedin SHAFAEI  Mohammad NOAPARAST  Hadi ABDOLLAHI
作者单位:School of Mining, University College of Engineering, University of Tehran, Tehran, Iran
摘    要:采用实验设计软件对从低品位锰矿中浸出提取锰的过程进行优化。在中心复合响应面实验设计中,考察了4个主要影响浸出过程的参数,即硫酸浓度、草酸浓度、浸出时间和温度。将锰和铁的浸出率作为考察指标。采用统计分析和方差分析确定了最优条件,即最高的锰和铁浸出率、最短的浸出时间和最低的温度。结果表明,硫酸浓度是影响浸出过程的最显著的参数,在最优条件下:硫酸浓度7%,草酸浓度42.5g/L,浸出时间60min,反应温度65℃,锰和铁的浸出率可分别达到93.44%和15.72%。

关 键 词:响应面方法  浸出    优化  建模
收稿时间:2011-11-17

Modeling and optimization of low-grade Mn bearing ore leaching using response surface methodology and central composite rotatable design
Dariush AZIZI,Sied Ziaedin SHAFAEI,Mohammad NOAPARAST,Hadi ABDOLLAHI. Modeling and optimization of low-grade Mn bearing ore leaching using response surface methodology and central composite rotatable design[J]. Transactions of Nonferrous Metals Society of China, 2012, 22(9): 2295-2305. DOI: 10.1016/S1003-6326(11)61463-5
Authors:Dariush AZIZI  Sied Ziaedin SHAFAEI  Mohammad NOAPARAST  Hadi ABDOLLAHI
Affiliation:School of Mining, College of Engineering, University of Tehran, Tehran 1439957131, Iran
Abstract:The application of leaching process to extracting Mn from a low-grade manganese ore was investigated using a software based design of experiments. Four main parameters, i.e. sulfuric acid concentration, oxalic acid concentration, time and temperature were considered in a central composite response surface design. The recoveries of Mn and Fe were selected as response of design. The optimum conditions under which the Mn and Fe recoveries were the highest and the time and temperature were the lowest were determined using statistical analysis and analysis of variance (ANOVA). The results showed that Mn and Fe recoveries were 93.44% and 15.72% under the optimum condition, respectively. Also, sulfuric acid concentration was the most effective parameter affecting the process. The amounts of sulfuric and oxalic acid were obtained to be 7% and 42.50 g/L in optimum condition and the best time and temperature were 65 min and 63 ℃.
Keywords:response surface methodology  leaching  manganese  optimization  modeling
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