纳米氧化锌制备条件的优化研究

An Optimal Study of the Preparation Conditions of Nanoparticle ZnO

按L9(34)设计试验制备纳米ZnO粉体,以反应温度x1、煅烧温度x2和煅烧时间x3为变量,ZnO对甲基橙溶液的光催化降解脱色率DC为目标响应值,采用PSO-二次回归方法建模,经非线性规划基于该模型寻优,获得试验设计范围内最优化的ZnO制备条件。该条件下制备的ZnO粉体光催化性能明显优于按直观分析法分析得出的优化条件下制备的ZnO,也明显优于市售的KY-ZnO-02产品。借助大大缩短试验次数的试验设计建模是实现制备工艺优化的一条有效途径。

The three main effect production factors, reaction temperature, calcination temperature and calcination time, are chosed to design experiments based on the orthogonal table L9 （3^4） to prepare nanocrystalline ZnO powders. And the decoloration rate is examined using ZnO powders as photocatalyst for UV-induced degradation of methyl orange（MO） in aqueous solution. The process modeling for the decoloration rate in ZnO photodegradation of MO is investigated using quadratic regression based on the particle swarm optimization（PSO） algorithm and the process recipes were optimized via nonlinear programming. Under optimised conditions, the ZnO clearly have better photocatalytic action compare with commercial ZnO（ Shanghai Caiyu Nanometer-technology Co. Ltd. , China, KY-ZnO-02）and ZnO under the optimised conditions which are obtained by corresponding analysis of the obtained results method. These results indicate that the method of modeling and simulating optimization is an approach available for less times of experiment to gain the optimal product.