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首页> 外文期刊>Applied clay science >Designing and optimization of separation process of iron impurities from kaolin by oxalic acid in bench-scale stirred-tank reactor
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Designing and optimization of separation process of iron impurities from kaolin by oxalic acid in bench-scale stirred-tank reactor

机译:草酸在台式搅拌釜反应器中高岭土中铁杂质分离工艺的设计与优化

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摘要

Kaolin leaching by oxalic acid in a bench-scale stirred-tank reactor using response surface methodology and face centered central composite design based on three variables: oxalic acid concentration (X-1: 0.1-0.3 M), temperature (X-2: 30-80 degrees C) and duration of the leaching test (X-3: 2-4 days) was investigated. The experimental data obtained were fitted to a second-order polynomial equation using multiple regression analysis by Design-Expert 7 software and were analyzed by analysis of variance (ANOVA). According to ANOVA, all factors (X-1, X-2 and X-3) influenced the response (dissolved iron concentration) and a positive regression coefficient of variables suggested an increase in dissolved iron concentration with an increase in oxalic acid concentration, temperature and time of leaching but there was not any interaction between them. The 3-D response surface plot and the contour plot derived from the mathematical model were applied to determine the optimal conditions. The optimum leaching conditions for maximum dissolved iron concentration were found to be oxalic acid concentration of 0.21 M, temperature of 77 degrees C and duration of the leaching test of 4 days. After the washing stage of kaolin, in those experiments that pH was above 4, iron oxalate precipitate was formed and the percentage of residual iron in the sample after leaching was higher than expected. In general, the minimum amount of residual iron in the kaolin was 0.75% (w/w) that was obtained in tests where the oxalic acid concentration, temperature, time of the leaching and pH of final solution were 0.3 M, 30 degrees C, 2 days and 3, respectively. (C) 2015 Elsevier B.V. All rights reserved.
机译:草酸在台式搅拌釜反应器中使用草酸浸出,采用响应面方法和基于三个变量的面心中心复合设计:草酸浓度(X-1:0.1-0.3 M),温度(X-2:30研究了-80摄氏度)和浸出测试的持续时间(X-3:2-4天)。使用Design-Expert 7软件通过多元回归分析将获得的实验数据拟合到二阶多项式方程,并通过方差分析(ANOVA)进行分析。根据方差分析,所有因素(X-1,X-2和X-3)都影响响应(溶解铁浓度),变量的正回归系数表明溶解铁浓度随草酸浓度,温度的升高而增加。和浸出时间,但它们之间没有任何相互作用。应用3-D响应表面图和数学模型得出的轮廓图来确定最佳条件。发现最大溶解铁浓度的最佳浸出条件为草酸浓度为0.21 M,温度为77摄氏度,浸出试验时间为4天。在高岭土的洗涤阶段之后,在那些pH高于4的实验中,草酸铁沉淀形成,浸出后样品中残留铁的百分比高于预期。通常,高岭土中的最低残留铁量为0.75%(w / w),这是在草酸浓度,温度,浸出时间和最终溶液的pH为0.3 M,30摄氏度, 2天和3天。 (C)2015 Elsevier B.V.保留所有权利。

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