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Optimization of staged bioleaching of low-grade chalcopyrite ore in the presence and absence of chloride in the irrigating lixiviant: ANFIS simulation

机译:浸滤剂中存在和不存在氯化物的低品位黄铜矿分阶段生物浸出的优化:ANFIS模拟

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摘要

In this investigation, copper was bioleached from a low-grade chalcopyrite ore using a chloride-containing lixiviant. In this regard, firstly, the composition of the bacterial culture media was designed to control the cost in commercial application. The bacterial culture used in this process was acclimated to the presence of chloride in the lixiviant. Practically speaking, the modified culture helped the bio-heap-leaching system operate in the chloridic media. Compared to the copper recovery from the low-grade chalcopyrite by bioleaching in the absence of chloride, bioleaching in the presence of chloride resulted in improved copper recovery. The composition of the lixiviant used in this study was a modification with respect to the basal salts in 9 K medium to optimize the leaching process. When leaching the ore in columns, 76.81 % Cu (based on solid residues of bioleaching operation) was recovered by staged leaching with lixiviant containing 34.22 mM NaCl. The quantitative findings were supported by SEM/EDS observations, X-ray elemental mapping, and mineralogical analysis of the ore before and after leaching. Finally, Adaptive neuro-fuzzy inference system (ANFIS) was used to simulate the operational parameters affecting the bioleaching operation in chloride-sulfate system.
机译:在这项研究中,使用含氯浸滤剂从低品位黄铜矿矿石中浸出了铜。在这方面,首先,设计细菌培养基的组成以控制商业应用中的成本。使该过程中使用的细菌培养物适应浸滤剂中氯化物的存在。实际上,改良的培养有助于生物堆浸系统在含氯介质中运行。与在不存在氯化物的情况下通过生物浸出从低品位黄铜矿中回收铜相比,在存在氯化物的情况下进行生物浸出可以提高铜的回收率。本研究中使用的浸滤剂的组成是对9 K培养基中的基础盐进行了改良,以优化浸出过程。当在柱中浸提矿石时,通过用含34.22 mM NaCl的浸滤剂分步浸提,回收了76.81%的Cu(基于生物浸提操作的固体残留物)。 SEM / EDS观察,X射线元素标测和浸出前后矿石的矿物学分析支持了定量结果。最后,采用自适应神经模糊推理系统(ANFIS)来模拟影响氯化物-硫酸盐系统中生物浸出操作的操作参数。

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