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个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 精细化工全国重点实验室主任,教育部智能材料化工前沿科学中心执行主任,大连理工大学膜科学与技术研究开发中心主任
性别:女
毕业院校:中国科学院大连化物所
学位:博士
所在单位:化工学院
学科:化学工程. 膜科学与技术. 生物医学工程
联系方式:hgaohong@dlut.edu.cn
电子邮箱:hgaohong@dlut.edu.cn
响应面法优化一水硫酸氢钠流化催化精馏生产乙酸乙酯工艺条件
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发表时间:2014-01-01
发表刊物:化工学报
所属单位:化工学院
期号:11
页面范围:4465-4471
ISSN号:0438-1157
摘要:A novel fluidized catalytic distillation process was developed to produce ethyl acetate based on sodium bisulfate catalyst, and response surface method was used to optimize process parameters. Firstly, single factor sensitivity analysis of five parameters, such as catalyst amount, reflux ratio, bottom heating power, acid alcohol molar feed ratio, feed rate, were carried out, and three key parameters (reflux ratio, acid alcohol molar feed ratio and feed rate) and their optimum ranges were determined. Depending on the results of single factor experiments and hydraulic limit of distillation equipment, reboiler duty of column 68 W and the amount of catalyst 2.0%(mass) acetic acid were fixed. Then central composite design methodology was used to design the experimental cases. The correlation model between three key parameters and the conversion rate of ethanol was obtained by response surface methodology based on the experimental results. By the analysis of variance and parallel experiments, the model was proved to be accurate and available. Finally, the optimum conditions were found to be feed flow of acetic acid 3.2 mol·h-1 and mole ratio of acetic acid/ethanol 3.1, reflux ratio 3.3. Under the conditions, the conversion rate of ethanol is 88.67%. Compared to the optimization parameters by a single factor sensitivity analysis process, the conversion rate of ethanol is increased by 1.0%.
备注:新增回溯数据