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作 者:赵伟[1] 杨高臣[2] 韩毓旺[1] 余定华[1] 胡燚[1,3]
机构地区:[1]南京工业大学生物与制药工程学院,材料化学工程国家重点实验室,江苏南京210009 [2]武汉理工大学汽车工程学院,湖北武汉430070 [3]江苏天凯生物科技有限公司,江苏南京211800
出 处:《南京工业大学学报(自然科学版)》2012年第4期90-95,共6页Journal of Nanjing Tech University(Natural Science Edition)
基 金:材料化学工程国家重点实验室自主研究课题重点资助项目(ZK200815);江苏省自然科学研究基金资助项目(BK2009494);中石化科技开发项目(L411003)
摘 要:研究活性Al_2O_3催化剂催化乙醇脱水的过程,在单因素实验的基础上,采用响应面方法优化温度、进料速度和催化剂粒径等工艺参数,建立预测模型。结合生产实际和实验室研究成果,使用建立的模型,在乙烯时空收率≥5 h^(-1),乙醇转化率≥98%的条件下,得到乙烯选择性的最优化条件。结果表明:催化剂装填量为5 g,原料乙醇质量分数为95%,温度398.5℃,进料速率40 mL/h,催化剂粒径0.4 mm的条件下反应,乙醇转化率为98.0%,乙烯选择性和时空收率分别为99.5%和5.0 h^(-1)。预测结果与实验值误差≤2%,建立的预测模型准确可靠。The ethanol dehydration process catalyzed by an industrial alumina was studied. Based on the single factor experiments, the response surface methodology (RSM) was used to optimize such parameters as temperature, feed rate and catalyst particle size, and a predictive model was established. According to the industrial production and laboratory research, the optimal conditions for ethylene selectivity were pre- dicted by the established model under the conditions of ethylene space-time yields greater than or equal to 5 h-1 and the ethanol conversion rate greater than or equal to 98%. Results showed that under the reac- tion conditions of ethanol concentration of 95%, mass of catalyst of 5 g, 398.5 ℃, feed rate of 40 mL/h, and catalyst particle size of 0. 4 mm, the conversion rate of ethanol was 98.0% , and the ethylene selectivity and the space-time yields were up to 99.5 %, and 5.0 h^-1, respectively. The error between the predictions and the experimental results was less than or equal to 2%. Therefore, the predictive mod- el was proved as an accurate and reliable one.
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