Synthesis and optimization of ZnFe2O4/TiO2 nanocomposite

I. Vashistha, Sunil Rohilla
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引用次数: 2

Abstract

Nanocomposite of ZnFe2O4/TiO2 was synthesized by sol-gel method. Fractional Factorial Design was used to investigate the effect of the process (synthesis) parameters like concentration of precursors and annealing temperature on the particle size of resultant composite. Response surface method (RSM) was used to investigate the design of the creation process and the statistical analysis of the effect of process parameters. The RSM results were then used as objective functions for optimization of the response parameters. In the experimental design, quadratic polynomial model was fitted to predict the response value and the best fitted linear model was statistically tested through analysis of variance (ANOVA). The model validity was analyzed through the analysis of residuals.Nanocomposite of ZnFe2O4/TiO2 was synthesized by sol-gel method. Fractional Factorial Design was used to investigate the effect of the process (synthesis) parameters like concentration of precursors and annealing temperature on the particle size of resultant composite. Response surface method (RSM) was used to investigate the design of the creation process and the statistical analysis of the effect of process parameters. The RSM results were then used as objective functions for optimization of the response parameters. In the experimental design, quadratic polynomial model was fitted to predict the response value and the best fitted linear model was statistically tested through analysis of variance (ANOVA). The model validity was analyzed through the analysis of residuals.
ZnFe2O4/TiO2纳米复合材料的合成与优化
采用溶胶-凝胶法制备了ZnFe2O4/TiO2纳米复合材料。采用分数析因设计研究了前驱体浓度和退火温度等工艺参数对复合材料粒径的影响。采用响应面法(RSM)研究了制作工艺的设计,并对工艺参数的影响进行了统计分析。然后将RSM结果作为优化响应参数的目标函数。在试验设计中,拟合二次多项式模型预测响应值,并通过方差分析(ANOVA)对拟合最佳的线性模型进行统计检验。通过残差分析对模型的有效性进行了分析。采用溶胶-凝胶法制备了ZnFe2O4/TiO2纳米复合材料。采用分数析因设计研究了前驱体浓度和退火温度等工艺参数对复合材料粒径的影响。采用响应面法(RSM)研究了制作工艺的设计,并对工艺参数的影响进行了统计分析。然后将RSM结果作为优化响应参数的目标函数。在试验设计中,拟合二次多项式模型预测响应值,并通过方差分析(ANOVA)对拟合最佳的线性模型进行统计检验。通过残差分析对模型的有效性进行了分析。
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