摘要
目前,C4烯烃在化工产品的生产以及医药业中都得到了广泛的应用。在C4烯烃制备过程中催化剂和反应温度共同影响C4烯烃的选择性和乙醇转化率。通过研究设计催化剂的组合与反应温度,对于指导C4烯烃的生产有重要意义。本文对多次交叉实验的结果进行分析,采用控制变量的思想,分别使用线性拟合与灰色关联分析研究温度与催化剂组合对C4烯烃的选择性和乙醇转化率的影响。最后利用逐步回归模型得到了最优温度和最优催化剂组合,使得C4烯烃产率最高。
At present, C4 olefins have been widely used in the production of chemical products and the pharmaceutical industry. Catalyst and reaction temperature jointly affect the selectivity of C4 olefins and ethanol conversion during the preparation of C4 olefins. It is of great significance to guide the production of C4 olefins by studying and designing the combination of catalysts and the reaction temperature. In this paper, the results of multiple crossover experiments are analyzed, and the idea of controlling variables is used to study the effects of temperature and catalyst combination on the selectivity of C4 olefins and the conversion of ethanol by using linear fitting and grey relational analysis respectively. Finally, the stepwise regression model was used to obtain the optimal temperature and the optimal catalyst combination, which made the C4 olefin yield the highest.
出处
《建模与仿真》
2022年第3期548-561,共14页
Modeling and Simulation
