基于Matlab编程预测陶瓷泥浆最适电解质用量  

Predicting Optimized Dosage of Electrolyte in Ceramic Slurry by Matlab

作　　者：马小娥[1] 李科锋[1] 李欣彤 李国松 

机构地区：[1]河南理工大学材料科学与工程学院,焦作454003 [2]河南省进出口商品检验检疫局,郑州450000

出　　处：《硅酸盐通报》2014年第6期1383-1388,共6页Bulletin of the Chinese Ceramic Society

摘　　要：为了制备流动性和稳定性更好的浆液,本文在实验优化泥浆流动性方案的基础上测定了泥浆恩氏粘度。用逐步回归的方法建立了恩氏粘度关于各因素的多元二次回归模型,并分析了主要因素以及各因素之间的交互作用对恩氏粘度的影响。用二元二次回归的方法预测出了泥浆粘度最小条件下所用电解质Na_2CO_3和Na_2SiO_3的比例为3.8475,Na_2CO_3和Na_2SiO_3的总量为0.6339。In order to obtain the slurry with better liquidity and stability of, the engler viscosity of the slurry is measured in this paper, based on the optimized experiment for the slurry liquidity. The method of the stepwise regression is used to establish the two regression model of engler？ viscosity？ with multiple factors. Meanwhile, the influence of main factor and the interaction among the factors on the engler viscosity is analyzed. The dualistic and quadric regression is applied to predict the ratio of 3. 8475 between electrolyte Na2SiO3 and Na2SiO3 when the slurry viscosity is reach to the minimum value, and the total weight of Na2SiO3 and Na2SiO3 is 0. 6339.

关 键 词：陶瓷泥浆 恩氏粘度 电解质 逐步回归 Matlab预测 

分 类 号：TQ174[化学工程—陶瓷工业]