因子设计和响应面法优化某胶磷矿浮选试验

为了对影响胶磷矿浮选的因素进行显著性分析及寻找最佳条件,通过结合部分因子设计和响应曲面法,利用Minitab软件,首先选用部分因子设计方法,对影响胶磷矿浮选的相关因素进行考察,结果表明,pH值和抑制剂用量对胶磷矿的浮选精矿回收率和P2O5品位均有显著影响,温度对于两个响应的影响均为最小。在因子设计试验的基础上,选取pH值和抑制剂用量同浮选精矿回收率和精矿P2O5品位构建响应曲面模型,结果表明,胶磷矿浮选最佳条件为:pH值为6.6714、抑制剂用量为1225.713 g/t,在该条件下,理论上可获得P2O5品位为30.5858%、回收率为83.6801%的浮选精矿。这种通过将因子设计和响应曲面法结合的方法可有效应用于试验设计中。

Collophanite Flotation Experiment Based on Factorial Design and Response Surface Methodology

To study the effect factors of collophane flotation significance analysis and find the best conditions, a method combining parts of factorial design and response surface method was investigated by use of minitab software. Firstly the parts of factor design method was based on the related factors affecting collophane flotation for comprehensive inspection, and the results show that the pH and dosage of inhibitor have significant impact for collophane flotation recovery and grade, the effect of temperature on two response were minimal. On the basis of the factorial design experiment, pH and dosage of inhibitor with flotation recovery and concentrate grade were selected building response surface model, the results show that the optimal conditions was: pH=6.6714, inhibitor dosage of 1225.713 g/t, in this condition, the grade of flotation concentrate is 30.5858%, the recovery was 83.6801%. The method combining a factorial design and response surface method can be effectively used in the design of experiment.