基于RSM高效浸出铅冶炼烟尘中镉的工艺优化

    Process Optimization of High-Efficiency Leaching of Cadmium from Lead Smelting Smoke Based on RSM

    • 摘要: 这是一篇冶金工程领域的论文。本文主要用响应曲面法(Response surface methodology,RSM)研究和优化浸出参数对从铅冶炼烟尘中高效浸出镉的影响。以镉的浸出回收率(Y1)为响应值,以浸出时间(A,h)、硫酸浓度(B,mol/L)和浸出温度(C,℃)为考查变量。研究表明:响应曲面二次回归模型参数显著,温度、时间、硫酸浓度这三个影响因素对Cd浸出率的影响顺序为C>A>B。AB的F值为2.16,AC的F值为0.051,BC的F值为0.2,在交互影响过程中对Cd浸出率的影响顺序为AB>BC>AC。在温度75 ℃、时间1.62 h、硫酸浓度为0.26 mol/L时,预测镉的浸出率为99.2%,通过三次实验验证,镉浸出率的平均值为98.18%,与预测值偏差1.02,吻合度较高,此条件是镉的浸出较佳工艺条件。

       

      Abstract: This is an essay in the field of metallurgical engineering. This work aims to investigate and optimize the effects of the leaching parameters on the selective leaching of cadmium from bottom blowing melting furnace dust. The response surface method was applied for the optimization of selective leaching parameters of cadmium from the dust. The leaching recovery of cadmium (Y1) was taken as the response variable, where the leaching time (A, h), concentration of sulphuric acid (B, mol/L), and leaching temperature (C, ℃) were considered as the independent variables (factors). The research shows that the parameters of the response surface quadratic regression model are significant. Among the model parameters, A, B, C, A2 and C2 are important model items. The order of influence of temperature, time and sulfuric acid concentration on Cd leaching rate is C>A>B. The F value of AB was 2.16, the F value of AC was 0.051, and the F value of BC was 0.2. The order of influence on Cd leaching rate during the interaction process was AB>BC>AC. When the temperature is 75 ℃, the time is 1.62 h, and the sulfuric acid concentration is 0.26 mol/L, the predicted cadmium leaching rate is 99.2%. Through three experiments, the average value of the cadmium leaching rate is 98.18%, and the deviation from the predicted value is 1.02, Higher is the optimum process condition for leaching of cadmium.

       

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