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Optimization of tungsten leaching from low manganese wolframite concentrate using Response Surface Methodology (RSM)

机译:使用响应表面法(RSM)优化低锰黑钨精矿中钨的浸出

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In the present work, the pressure leaching of low-grade wolframite concentrate (33.61 wt% WO3) with average particle size of 62 mu m obtained from Chahpalang mine located in the Yazd province of Iran was studied. The Effects of temperature, time and Na2CO3/WO3 weight ratio on tungsten leaching efficiency were evaluated by Response Surface Method (RSM) and Central Composite Design (CCD). The predictions of statistical model showed that the leaching temperature has the major effect on tungsten leaching efficiency with respect to other leaching factors. Increasing the temperature up to 210 degrees C lead to the increase of tungsten leaching efficiency while resulted in decreasing of leaching efficiency from 210 degrees C to 230 degrees C. Optimum conditions by utilizing desirability function follows: 202-208 degrees C temperature, 3.0-3.7 h, 3.68-4.27 Na2CO3/WO3 weight ratios. The experimental results showed that a leaching efficiency of >95% under these optimum leaching conditions can be obtained. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在目前的工作中,研究了从位于伊朗亚兹德省的查帕朗矿获得的平均粒径为62μm的低品位黑钨精矿(33.61 wt%WO3)的压力浸出。通过响应面法(RSM)和中心复合设计(CCD)评估了温度,时间和Na2CO3 / WO3重量比对钨浸出效率的影响。统计模型的预测表明,相对于其他浸出因素,浸出温度对钨的浸出效率影响最大。将温度升高到210摄氏度会导致钨浸出效率的提高,同时导致浸出效率从210摄氏度降低到230摄氏度。利用期望函数的最佳条件如下:温度202-208摄氏度,温度3.0-3.7 h,3.68-4.27 Na 2 CO 3 / WO 3重量比。实验结果表明,在这些最佳浸出条件下,浸出效率可达到> 95%。 (C)2016 Elsevier Ltd.保留所有权利。

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