蒙特卡罗方法在反应器级联连续模式共聚过程建模算法构建中的应用

O. Medvedeva, V. Mikhailov, S. Mustafina, T. Mikhailova, S. Mustafina
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引用次数: 4

摘要

本文提出了一种模拟单体共聚过程的算法,该过程以连续模式在理想混合的连续连接反应器级联中进行。该算法基于蒙特卡罗方法。它的基础是模仿形成的共聚物的每个大分子的生长和固定与之相关的过程。由于该过程以连续模式进行,因此该算法考虑了产物颗粒根据在系统中花费的时间的分布,以及反应混合物进入第一梯级反应器的恒定流动。基于该算法建立的模型可以随时估计产品的指标,即:预测共聚物中原始单体的分子质量和粘度特性,质量含量,进行分子质量分布的计算,研究产品的复合非均质性。所提出的算法可以作为软件工具来实现,在这方面,文章提出了一种存储和处理使用数据的方法。根据研究结果,进行了工业条件下丁二烯-拖鞋合成橡胶生产模拟计算实验。其生产基础是丁二烯与苯乙烯在乳液中低共聚的工艺。模拟结果与实验数据吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Monte Carlo Method in the Construction of Copolymerization Process Modeling Algorithm for the Continuous Mode in the Reactors Cascade
The article proposes an algorithm for modeling of the process monomers copolymerization, which is carried out in a continuous mode in a cascade of consistently connected reactors of ideal mixing. The algorithm is based on the Monte-Carlo method. It is based on the imitation of growth of each macromolecule of the formed copolymer and fixation of the processes occurring with it. Since the process is conducted in a continuous mode, the algorithm takes into account the distribution of product particles according to the time spent in the system, as well as the constant flow of reaction mixture into the first cascade reactor. The model built on the basis of the algorithm allows to estimate indicators of the product at any time, namely: to predict molecular-mass and viscosity characteristics, mass content of the original monomers in the copolymer, to carry out calculation of molecular-mass distribution, to investigate composite heterogeneity of a product. The proposed algorithm can be implemented as a software tool, in this connection the article proposes an approach to the storage and processing of used data. According to the results of the research a number of computational experiments on modelling of production of butadiene-slipper synthetic rubber in industrial conditions were carried out. The basis of its production is the process of low copolymerization of butadiene with styrene in emulsion. The simulated results reflect consistency with the experimental data.
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