首页> 外文期刊>Advanced Powder Technology: The internation Journal of the Society of Powder Technology, Japan >Analysis of reverse cationic iron ore fines flotation using RSM-D-optimal design – An approach towards sustainability
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Analysis of reverse cationic iron ore fines flotation using RSM-D-optimal design – An approach towards sustainability

机译:RSM-D-OPTEMAL设计的反向阳离子铁矿石粉末的分析 - 一种可持续性方法

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Froth flotation is an important process to recover iron values from slimes, ore fines to meet the rapidly growing demand of quality iron ore concentrate for environmental and economic advantages. In the present study, responses of ?75?μm iron ore fines to flotation were analysed at different variable parameters. The D-optimal design of response surface methodology was adopted to evaluate the effect of different reagents such as collector, frother, depressant, dispersant and pH on the recovery and grade. The RSM-D optimal predicted responses with the coefficient of determination (R2) 0.97 for recovery and 0.98 for grade of iron concentrate collected from tailing launder. The optimal conditions were collector?=?0.21?kg/ton, frother?=?0.10?kg/ton, depressant?=?0.61?kg/ton, disperssant?=?0.20?kg/ton, and pH?=?11 with 64.13% Fe and 84.37% iron recovery respectively with a model desirability of 84.3%. Flotation performance was optimized by carrying out statistical design of experiments to identify main and international effects on maximum recovery and grade. This study showed that RSM-D-optimal could efficiently be applied for modeling of iron ore reverse flotation and it is very economical to obtain maximum amount of information in less interval of time with few numbers of experiments. Successful upgradation of low-grade iron ore fines through reverse flotation route with proposed reagent regimes is envisaged.
机译:泡沫浮选是从粘液中恢复铁值的重要过程,矿石罚款,以满足对环境和经济优势的优质铁矿石的快速增长需求。在本研究中,在不同的可变参数下分析了α75?μm铁矿石对浮选的反应。采用响应面方法的D-最优设计来评估不同试剂如收集器,抑制剂,抑制剂,分散剂和pH对回收和等级的影响。 RSM-D最佳预测响应与测量系数(R2)0.97进行回收率,从拖尾洗涤收集的铁浓缩物等级0.98。最佳条件是收集器?=?0.21?kg /吨,其他?=?0.10?kg /吨,抑制剂?=Δ= 0.61?kg /吨,分散剂?= 0.20?kg /吨,pH?=?11具有64.13%的Fe和84.37%的铁回收,模型期望为84.3%。通过执行实验的统计设计来优化浮选性能,以确定关于最大恢复和级别的主要和国际影响。该研究表明,RSM-D-OPTEMAL可以有效地应用于铁矿石反向浮选的建模,并且在少量实验中在较少的时间间隔内获得最大信息量是非常经济的。设立了通过逆转浮选途径的低级铁矿石通过具有提出的试剂制度的逆浮粉的成功升级。

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