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Predictive control and verification of conversion kinetics and polymer molecular weight in semi-batch free radical homopolymer reactions

机译:半间歇式自由基均聚物反应的转化动力学和聚合物分子量的预测控制和验证

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Polymer molar mass distributions critically affect macroscopic characteristics and performance of polymeric materials. While multi-detector methods coupled to size exclusion chromatography (SEC) are widely used to measure endproduct mass distributions, less progress has been made in simultaneously controlling and verifying the evolution of these distributions during synthesis. This work focuses on quantitative predictions and online verification of conversion kinetics and of molecular weight during free radical homopolymerization of acrylamide. where reagents were fed into the reactor during the reaction. The central task is to establish and experimentally test a formalism combining free radical polymerization kinetics with time dependent processes related to flows of material into and out of the reactor. Monomer feed experiments were performed that alternately hold molecular weight constant and ramp the weight up, in contrast to batch reactions, where molecular weight decreases. Three types of initiator feed 'tapers' were also used to produce predictable conversion kinetics and mass distributions: (i) constant initiator feed, (ii) linearly stepped feed to produce Gaussian conversion kinetics, and (iii) booster shots to produce multi-modal masses. Automatic Continuous Online Monitoring of Polymerization reactions (ACOMP) was used to follow the conversion and evolution of the average mass distribution, and multi-detector SEC was used to cross-check results and measure full distributions of endproducts. In general, there was good agreement between the predictions and results. In future work this approach can be used as an Ansatz for reaction trajectory prediction, and the online monitoring signals exploited to make feedback controlled corrections to the reagent flows and other reaction conditions.
机译:聚合物摩尔质量分布严重影响聚合物材料的宏观特性和性能。尽管将多检测器方法与尺寸排阻色谱法(SEC)结合使用来测量最终产品的质量分布,但在合成过程中同时控制和验证这些分布的演变方面进展甚微。这项工作专注于丙烯酰胺自由基均聚过程中转化动力学和分子量的定量预测和在线验证。在反应过程中将试剂进料到反应器中。中心任务是建立和实验形式化,将自由基聚合动力学与与材料流入和流出反应器有关的时间相关过程结合起来。进行了单体进料实验,该实验交替地保持分子量恒定并增加重量,这与分子量降低的间歇反应相反。三种类型的引发剂进料“锥度”也可用于产生可预测的转化动力学和质量分布:(i)恒定引发剂进料,(ii)线性步进进料以产生高斯转化动力学,以及(iii)增强注射以产生多峰群众。使用自动连续在线监测聚合反应(ACOMP)来跟踪平均质量分布的转换和演变,并使用多检测器SEC来交叉检查结果并测量最终产品的全部分布。通常,预测和结果之间有很好的一致性。在以后的工作中,该方法可以用作反应轨迹预测的Ansatz,并利用在线监测信号对试剂流量和其他反应条件进行反馈控制的校正。

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