【摘要】 己酸乙酯生产工艺中采用硫酸做催化剂,会产生大量的工艺废水,对环境不利。本文采用硫酸氢钠F型复合催化剂,以环己烷为带水剂催化合成己酸乙酯,并采用正交实验和人工神经网络对该工艺加以优化,建立三层改进的误差反向传播网络(BP-ANN神经网络),把正交实验的水平范围扩大后输入建立的网络,得到最佳制备条件:催化剂用量为4 g,反应时间为3.4 h,醇酸物质的量比为1.2,带水剂用量为27 mL,在该条件下己酸乙酯的预测收率为98.60%,五次验证实验的平均收率为98.32%。更多还原

【Abstract】 The old production process of ethyl caproate using sulfuric acid as catalyst produces large amount of waste water which is harmful to environment. The synthetic conditions of ethyl caproate is optimized through orthogonal test and artificial neural network using F-series complex catalyst and cyclohexane as water concomitant. A network model is established by improving back-propagation of artificial neural network (BP-ANN ). The widen range of factors are introduced into the network. The optimal synthetic conditions are determined as follows : the amount of catalyst used 4 g, reaction time 3.4 h. Ratio of alcohol to caproic acid 1.2 and the amount of water concomitant used 27 mL.Under these selected conditions, the yield of ethyl caproate reaches 98.32%.更多还原