【作者】 宋富财；

【导师】 宋??；

【作者基本信息】 天津大学 ， 化学工程， 2004， 硕士

【摘要】 反应精馏是化学反应与精馏分离相结合的化工操作过程,因其具有选择性强、投资少、能耗低等优点而受到研究者们的广泛关注,并且在工业生产中得到广泛的应用。反应精馏过程由于存在化学反应和分离之间的强烈相互作用而具有高度的复杂性,在模拟时许多算法模型都存在明显的不足,并且优化方法也不多。本文利用人工神经网络(ANN)模型来模拟反应精馏过程,无需考虑反应精馏塔内发生的具体过程及其机理,不但能够获得很好的模拟效果,而且计算方法也比较简单。在建立ANN模型时,首先用ASPEN软件模拟计算出多组数据以弥补实验数据不多的不足,然后通过比较两种不同的隐含层传递函数和不同隐含层节点数的ANN对训练集和验证集的预测效果,从而优选出ANN的结构。遗传算法具有适应性强、不易陷入局部最优点等特性而在工程优化中有着广泛的应用。本文提出基于分量加权的多目标遗传算法并与ANN结合对反应精馏过程进行多目标的优化。优化结果表明,多目标遗传算法结合ANN对反应精馏进行优化是可行的,而且具有很高的精度。本文以乙酸甲酯水解催化精馏和合成乙酸乙酯的反应精馏过程为例说明上述模拟和优化方法。更多还原

【Abstract】 Reactive distillation is a process with chemical reaction and separation. It has attracted many researchers and has been used widely for the virtues of high selectivity, low capital investment and little energy consumption. Because of the violently interactions between reaction and separation, many models have shortcomings when simulating reactive distillation and there are few methods for optimizing the process. In this thesis, artificial neural network (ANN) models are presented to simulate reactive distillation with no consideration of the specific process and mechanism in the columns. The results show that good effects can be achieved using ANN models with high simplicity. More data are produced by software of ASPEN to make up the shortage of experimental data when setting up the ANN models. By comparing the different predictive results of different ANNs to the training set and testing set, the transfer function and nodes of hidden layer are ascertained, thus the optimal structure of ANN is established. Genetic algorithm is used broadly in engineering optimization with the excellent adaptive character and the distinguished ability in search of global solution. In this thesis, a multi-objective genetic algorithm based on different weights is presented. In company with the ANN models, the multi-objective genetic algorithm is used to optimize the process of reactive distillation. Results optimized show that the proposed method is feasible and has high precisions. Processes of catalytic distillation for hydrolyzing ethyl acetate and reactive distillation for synthesizing ethyl acetate are taken as examples to demonstrate the proposed simulation and optimization methods.更多还原