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Lower and upper critical solution temperatures of binary polymeric solutions

机译:二元聚合物溶液的上下临界溶液温度

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The phase behavior of binary polymeric solutions such as lower and upper critical solution temperatures has an important role in many polymeric processes. For theoretical investigation on the prediction of these temperatures, a substantial number of data points on binary polymeric solutions were collected from literature and used to present a reliable calculation routine through chemical engineering thermodynamic modeling approach. The thermodynamic model of Compressible Regular Solution was used. The minimization of errors and predefined objective function was done by applying Particle Swarm Optimization technique. An efficient and accurate empirical correlation employing some quantitative structure property relationship concept through statistical modeling was developed. To develop the statistical model, the connectivity indices of polymer and solvent were used as the independent variables of the model. Four statistical parameters were defined as auxiliary criteria to evaluate the models and convergence of calculations. In addition, attempts were made to develop and correlate the connectivity indices (topological descriptors) of polymer and solvent to the lattice fluid theory parameters of Sanchez-Lacombe Equation of State. The reliability and accuracy of proposed approaches were discussed in-details and the results were compared to the available experimental data. Desirable agreements between calculated and experimental data were found in thermodynamic model as demonstrated by a maximum Individual Absolute Relative Deviation of 5%. An averaged LARD of 4.3% was obtained for the empirical model. The new correlation predicts connectivity indices of components with acceptable accuracy. (C) 2016 Elsevier B.V. All rights reserved.
机译:二元聚合物溶液的相行为,例如较低和较高的临界溶液温度,在许多聚合物过程中都起着重要作用。为了对这些温度的预测进行理论研究,从文献中收集了关于二元聚合物溶液的大量数据点,并通过化学工程热力学建模方法将其用于提出可靠的计算程序。使用可压缩常规溶液的热力学模型。通过应用粒子群优化技术,可以将误差和预定义的目标函数最小化。通过统计建模,利用定量结构性质关系概念,建立了一种高效,准确的经验相关关系。为了建立统计模型,将聚合物和溶剂的连接指数用作模型的自变量。四个统计参数被定义为评估模型和计算收敛性的辅助标准。此外,还尝试开发聚合物和溶剂的连接指数(拓扑描述符)并将其与Sanchez-Lacombe状态方程的晶格流体理论参数相关联。详细讨论了所提出方法的可靠性和准确性,并将结果与​​可用的实验数据进行了比较。在热力学模型中发现了计算数据与实验数据之间理想的一致性,最大绝对绝对偏差为5%,证明了这一点。经验模型的平均LARD为4.3%。新的相关性以可接受的精度预测组件的连接性指数。 (C)2016 Elsevier B.V.保留所有权利。

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