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响应曲面法优化感应电芬顿预处理染料废水的运行参数
引用本文:胡耀笛,张利,刘松,孙梅香,刘会应,戴捷.响应曲面法优化感应电芬顿预处理染料废水的运行参数[J].科学技术与工程,2017,17(27).
作者姓名:胡耀笛  张利  刘松  孙梅香  刘会应  戴捷
作者单位:长江大学,长江大学,长江大学,长江大学,长江大学,长江大学
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目) 湖北省自然科学基金项目(重点项目)
摘    要:在传统电芬顿技术的基础上引入感应铁电极以改变Fe~(2+)的投加方式,构建了以铁板为感应阳极、不锈钢板为阳极、高纯度TiO_2镀膜石墨板为阴极的感应电芬顿体系。为探究感应电芬顿处理染料废水的最优运行参数及参数间的交互作用,采用响应曲面法建立连续变量曲面模型,优化试验并确定最佳水平范围。结果显示,经模型优化后的最佳工艺条件为:反应时间80 min,pH 2.59,电流密度30 m A·cm~(-2),在此条件下进行三组平行实验,得出染料废水的COD去除率平均值达到70.1%,而模型预测值为73.17%,实测值与预测值相对偏差为3.07%,两者能较好地吻合。

关 键 词:染料废水  感应电芬顿  感应铁电极  响应曲面法
收稿时间:2017/3/7 0:00:00
修稿时间:2017/4/22 0:00:00

Optimization Study on Induction Electron-Fenton Conditions For Dye Wastewater Treatment Using Response Surface Methodology
huyaodi,zhangli,liusong,xunmeixiang,liuhuiying and.Optimization Study on Induction Electron-Fenton Conditions For Dye Wastewater Treatment Using Response Surface Methodology[J].Science Technology and Engineering,2017,17(27).
Authors:huyaodi  zhangli  liusong  xunmeixiang  liuhuiying and
Institution:Yangtze University,Yangtze University,Yangtze University,Yangtze University,Yangtze University,
Abstract:Using induction iron electrode to change the way of adding Fe2+ on the basis of the traditional electro-Fenton process, built the system of electro-Fenton using induction iron anode, stainless steel anode and plated oxide film of TiO2 based on the pure graphite plate. For explore optimum operation parameter and their interaction on the treatment of dye wastewater by induction electron-Fenton, built surface model with continuous variable using response surface methodology to optimize the experiment and determine the best range of each level. Results showed the best process conditions after optimization by the model, the optimum reaction time, pH and current density were found to be 80 min, 2.59 and 30 mA·cm-2, respectively. Experiment with above optimum condition and repeated 3 times, found that the efficiency of COD removal to the dye wastewater can be reach 70.1%, and the prediction by the model is 73.17%, the relative deviation between the actual value and prediction is 3.07%, the two value are close.
Keywords:dye wastewater  induction electron-Fenton  induction iron electrode  response surface methodology
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