磷石膏源头减量化分选技术
收藏国家基础学科公共科学数据中心2024-03-05 收录
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磷石膏固废源头减量化分选技术针对目前磷石膏产生量大、资源化利用率低等现状,项目根据磷石膏产生的工艺特点,采用选矿方法对产生磷石膏固体废物的源头矿石磷矿石中脉石矿物进行脱除,提高磷精矿品位,降低磷化工过程消耗和磷石膏产生量。查明了贵州中低品位难选磷矿石中主要元素P、Mg等赋存状态,明确了有用矿物胶磷矿和主要脉石矿物白云石、粘土矿物等嵌布特征及粒度组成,对于P2O5含量大于25%、MgO含量大于5%的原矿,通过浮选获得的磷精矿中P2O5含量大于32%、MgO含量1%左右,磷精矿中P2O5回收率大于80%,数据量232 KB。该技术提出采用选矿方法实现磷石膏固体废物源头减量的思路,可有效减少进入磷化工过程的杂质量,降低磷化工过程消耗和磷石膏固体废物产生量。
The source reduction sorting technology for phosphogypsum solid waste addresses the current issues of large phosphogypsum production volume and low resource utilization rate. Based on the process characteristics of phosphogypsum generation, this project adopts mineral processing methods to remove gangue minerals from the raw phosphate ore that generates phosphogypsum solid waste, thereby improving the grade of phosphate concentrate, and reducing the consumption in the phosphorus chemical process and the amount of phosphogypsum generated. The occurrence states of main elements such as P and Mg in the medium-low grade refractory phosphate ore in Guizhou were clarified, and the dissemination characteristics and particle size composition of the useful mineral collophanite and the main gangue minerals including dolomite and clay minerals were determined. For the raw ore with P₂O₅ content greater than 25% and MgO content greater than 5%, the phosphate concentrate obtained via flotation has a P₂O₅ content exceeding 32% and MgO content of approximately 1%, with a P₂O₅ recovery rate in the phosphate concentrate higher than 80%, and the dataset size is 232 KB. This technology puts forward the concept of using mineral processing methods to achieve source reduction of phosphogypsum solid waste, which can effectively reduce the amount of impurities entering the phosphorus chemical process, lowering the consumption in the phosphorus chemical process and the generation volume of phosphogypsum solid waste.
提供机构:
贵州科学院
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集聚焦磷石膏固废源头减量化分选技术,通过选矿方法提高磷精矿品位,旨在减少磷化工过程中的杂质和磷石膏产生量,具有明确的环境保护和应用价值。数据集包含技术细节如矿石元素赋存状态和浮选结果,数据量较小(232 KB),属于国家重点研发计划项目成果。
以上内容由遇见数据集搜集并总结生成



