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Modelling and optimization of process parameters for beneficiation of ultrafine chromite particles by selective flocculation

机译:选择性絮凝法选矿超细亚铬酸盐颗粒的工艺参数建模与优化

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摘要

Chromite tailings are generated from chrome ore beneficiation plants, containing substantial quantities of ultrafine particles. Generally these ultrafine particles of chromite cannot be treated effectively using conventional beneficiation methods, because of limitations in particles size being treated by these processes. Selective flocculation process could be one of the alternative physico-chemical methods for treating these ultrafine particles. Here an attempt was taken to establish selective flocculation process for treating chromite particles using synthetic mixture of high grade chromite ore and kaolin. Box Behnken experimental design was applied to study the significance of operating parameters like floc-culant dose, dispersant dose and pH on responses of selective flocculation process. Both pH and flocculant dose significantly affect selective flocculation process. Further, an optimization of process parameters were also carried out and optimized response was found to be 41.86% grade of Cr2O3 in concentrate with 69.73% recovery.
机译:铬矿尾矿是从铬矿选矿厂产生的,其中含有大量的超细颗粒。通常,这些铬铁矿超细颗粒不能使用常规的选矿方法进行有效处理,因为这些方法处理的颗粒尺寸有限。选择性絮凝工艺可能是处理这些超细颗粒的替代物理化学方法之一。这里尝试建立使用高级铬铁矿矿石和高岭土的合成混合物处理铬铁矿颗粒的选择性絮凝工艺。采用Box Behnken实验设计研究絮凝剂用量,分散剂用量和pH值等操作参数对选择性絮凝过程响应的意义。 pH和絮凝剂剂量均显着影响选择性絮凝过程。此外,还对工艺参数进行了优化,发现优化响应为精矿中Cr2O3的41.86%级,回收率为69.73%。

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