响应面优化蔗渣焙烧还原低品位软锰矿的工艺(英文)

采用基于统计的优化策略优化了无氧条件下蔗渣焙烧还原低品位软锰矿的工艺。用中心组合设计收集实验数据,用二次模型表示锰浸出率与渣矿比(蔗渣与锰矿质量比)、焙烧温度、焙烧时间的函数关系,用统计分析(ANOVA)研究变量及变量的相互作用对浸出过程的影响。结果表明,渣矿比和焙烧温度对浸出过程的影响比焙烧时间的大,渣矿比和焙烧温度的线性项、二次项及其交互作用影响显著,而焙烧时间的影响却较小。利用所得的二次模型可得最佳工艺参数:渣矿比0.9:10、焙烧温度450°C、焙烧时间30min。在优化条件下,锰浸出率的预测值为98.1%,实验值为98.2%.

Response surface optimization of process parameters for reduction roasting of low-grade pyrolusite by bagasse

The reduction roasting processes for low-grade pyrolusite using bagasse as the reducing agent was statistically analyzed. The central composite rotatable design (CCD) was used to optimize this reduction roasting processes. The three process parameters studied were the mass ratio of bagasse to ore, the roasting temperature and the roasting time. Analysis of variance (ANOVA) was used to analyze the experimental results. The interactions between the process parameters were done by using the linear and quadratic model. The results revealed that the linear and quadratic effects as well as the interaction are statistically significant for the mass ratio and roasting temperature but insignificant for the roasting time. The optimal conditions of 0.9:10 of mass ratio, the roasting temperature of 450 °C, the roasting time of 30 min were obtained. Under these conditions, the predicted leaching recovery rate for manganese was 98.1%. And the satisfied experimental result of 98.2% confirmed the validity of the model.