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Dynamic Simulation of Bulk Polymerisation of Styrene Using ODE Solver Within Matlab Software

机译:使用Matlab软件中的ODE求解器动态模拟苯乙烯本体聚合

摘要

The title of this study was to investigate the dynamic simulation of bulk polymerisation of styrene using ODE solver within MATLAB software. The objectives of this study were to develop the a simulation research on bulk polymerisation of styrene using 2,2’ azobisisobutyronitrile catalyst (AIBN) catalyst in batch reactor by using ODE solver within MATLAB software and to determine the initial amount of initiator and batch time to yield desired values of monomer conversion (m) and the number average molecular weight (Xn) at fixed temperature 373K. The results later on were compared with those obtained by Wan Ibrahim (2011) using CVP technique within gPROMS software and also the results obtained by Ekpo (2006). The model equations were developed and adapted similar to those used by Wan Ibrahim (2011) and Ekpo (2006). The model equations were posed as initial value ODE problems and solved using ODE15s solver within MATLAB software. The trend of results showed that the batch time for lower monomer conversion (m) was lower compared to the batch time for higher monomer conversion (m) for each number average molecular weight (Xn). The initial amount of initiator achieved in this study was lower compared to that obtained by Ekpo (2006) but the batch time achieved in this study varied with that obtained by Ekpo (2006). Comparing with the results obtained by Wan Ibrahim (2011), initial initiator concentration needed in this study was lower than that needed in Wan Ibrahim (2011)’s study, but the batch time achieved in this study was much higher compared to that obtained by Wan Ibrahim (2011). As a conclusion, the use of ODE solver within MATLAB software in simulating the dynamic problem of bulk polymerisation of styrene was successful. The initial amount of initiator and batch time was able to be determined and the results achieved were able to compete with the results obtained by Wan Ibrahim (2011) and Ekpo (2006). However, it was recommended that the future study could be done by considering the chain transfer effect and optimal temperature in the study using the same method and software.
机译:这项研究的标题是使用MATLAB软件中的ODE求解器研究苯乙烯本体聚合的动力学模拟。这项研究的目的是通过使用MATLAB软件中的ODE求解器,对间歇式反应器中的2,2'偶氮二异丁腈催化剂(AIBN)催化剂进行苯乙烯本体聚合的模拟研究,并确定引发剂的初始量和间歇时间。在固定温度373K下得到期望的单体转化率值(m)和数均分子量(Xn)。随后将结果与gPROMS软件中使用CVP技术的Wan Ibrahim(2011)获得的结果以及Ekpo(2006)获得的结果进行了比较。与Wan Ibrahim(2011)和Ekpo(2006)所使用的模型方程式相似,其模型方程式得以开发和调整。模型方程式作为初始值ODE问题提出,并使用MATLAB软件中的ODE15s求解器求解。结果趋势表明,对于每个数均分子量(Xn),较低的单体转化率(m)的分批时间比较高的单体转化率(m)的分批时间短。与Ekpo(2006)获得的引发剂相比,本研究中起始引发剂的起始量要低,但本研究中获得的起始时间随Ekpo(2006)获得的引发剂时间而异。与Wan Ibrahim(2011)的结果相比,该研究所需的初始引发剂浓度低于Wan Ibrahim(2011)的研究所需的起始引发剂浓度,但该研究中获得的分批时间比通过方法获得的起始时间高得多。万易卜拉欣(2011)。结论是,在MATLAB软件中使用ODE求解器模拟苯乙烯本体聚合的动力学问题是成功的。能够确定引发剂的初始量和批处理时间,并且所获得的结果能够与Wan Ibrahim(2011)和Ekpo(2006)获得的结果相抗衡。但是,建议将来的研究可以通过使用相同的方法和软件考虑链转移效应和研究中的最佳温度来完成。

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    Eugene Hien Yoong Ng;

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  • 年度 2013
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