用人工神经网络研究对氯苯氧乙酸钾的合成工艺  

Study of Synthesis Process of Potassium p-Chlorophenoxyacetate by Artificial Neural Networks

作　　者：任保增[1] 雒廷亮[1] 李晨[1] 赵红坤[1] 曾之平[1] 

机构地区：[1]郑州大学化工学院,河南郑州450002

出　　处：《精细化工》2003年第6期329-332,共4页Fine Chemicals

基　　金：河南省科技攻关计划资助项目(No.0224040005)

摘　　要：用BP神经网络对相转移催化合成对氯苯氧乙酸钾工艺进行了研究,结果表明,在KOH的量为18 33g,反应时间1 0～6 0h、反应温度50 0～90 0℃、甲苯用量10 0～80 0mL、催化剂四丁基溴化铵用量0 20～1 80g、n(对氯苯酚)∶n(一氯乙酸)=1 00∶(1 00～4 00),具有两层隐层的BP网络可较好地体现对氯苯氧乙酸钾合成规律,对其合成有较高的预测能力。反应时间的延长、甲苯用量的提高对对氯苯氧乙酸钾的生成量的增加影响不大;相转移催化剂四丁基溴化铵量增加反而导致对氯苯氧乙酸钾一定程度的下降;尤其是原料配比(对氯苯酚与一氯乙酸的量比)升高对对氯苯氧乙酸钾的生成影响较大。在上述反应条件范围内,反应时间为1h、反应温度90℃、四丁基溴化铵0 20g、甲苯10 0mL、n(对氯苯酚)∶n(一氯乙酸)=1 00∶4 00、KOH18 33g时对氯苯氧乙酸钾的生成量最大,实验值为15 1478g,网络预测值是16 3670g。The synthesis process of potassium pchlorophenoxyacetate by phase transfer catalysis is studied using BP-ANNS.The results suggest that BP-ANNS with two hidden layers will be able to reflect the synthesis rule and has higher forecast ability to the synthesis process of potassium pchlorophenoxyacetate,when amount of KOH,reaction time,temperature,amounts of toluene and catalyst tetrabutylammonium bromide,and molar ratio of pchlorophenol to chloroacetic acid are 1833 g, 1-6 h,500-900 ℃,100-800 mL,020-180 g and 100-400 respectively.Increase of reaction time and amount of toluene has little influence on the yield of potassium pchlorophenoxyacetate while reaction temperature and especially molar ratio of pchlorophenol to chloroacetic acid affect noticeably.Within the above reaction conditions,the yield of potassium pchlorophenoxyacetate is maximum at reaction time 1 h,temperature 900 ℃,tetrabutylammonium bromide 020 g,toluene 10 mL and molar ratio of pchlorophenol to chloroacetic acid 400.The experimental value is 151478 g and BP-ANNS expected value is 163670 g.

关 键 词：人工神经网络 对氯苯氧乙酸钾 对氯苯酚 相转移催化合成 

分 类 号：TQ243.1[化学工程—有机化工]