Schwartz Gustavo A, Cangialosi Daniele, Alegría Angel, Colmenero Juan
Donostia International Physics Center, Paseo Manuel de Lardizabal 4, 20018 San Sebastián, Spain.
J Chem Phys. 2006 Apr 21;124(15):154904. doi: 10.1063/1.2187009.
We have recently proposed [D. Cangialosi et al., J. Chem. Phys. 123, 144908 (2005)] an extension of the Adam-Gibbs [J. Chem. Phys. 43, 139 (1965)] theory, combined with the concept of self-concentration, to describe the temperature dependence of the relaxation time for the component segmental dynamics in miscible polymer blends. Thus, we were able to obtain the dynamics of each component in the blend starting from the knowledge of the dynamic and thermodynamic data of the pure polymers, with a single fitting parameter (alpha) which had to be obtained from the fitting of the experimental data. In the present work we demonstrate that this model is also suitable to describe the polymer segmental dynamics in concentrated polymer solutions. From this result we have developed a new route for determining the value of the alpha parameter associated with any given polymer. Once this value is known for the two components of a possible polymer blend, our model for polymer blends dynamics becomes fully predictive.
我们最近提出了[D. 坎贾洛西等人，《化学物理杂志》123, 144908 (2005)]对亚当 - 吉布斯[《化学物理杂志》43, 139 (1965)]理论的扩展，并结合自浓度概念，以描述互溶聚合物共混物中组分链段动力学弛豫时间的温度依赖性。因此，我们能够从纯聚合物的动力学和热力学数据出发，通过一个必须从实验数据拟合中获得的单一拟合参数（α），得到共混物中各组分的动力学。在本工作中，我们证明该模型也适用于描述浓聚合物溶液中的聚合物链段动力学。基于此结果，我们开发了一种确定与任何给定聚合物相关的α参数值的新方法。一旦知道了可能的聚合物共混物中两种组分的该值，我们的聚合物共混物动力学模型就变得完全具有预测性。
