The effect of temperature gradients on the parameters of Adam–Gibbs model

摘要: Abstract The most commonly used method for studying relaxation processes in polymers is monitoring the enthalpy recovery by measuring differential scanning calorimetry (DSC) heat capacity data. Because of its great influence on data, effect temperature gradients sample dynamics study should be investigated. A model calculating profile a DSC was proposed previously combining Fourier's law conduction with Tool–Narayanaswamy–Moynihan (TNM) model. This examined using PS samples different thicknesses. It found that gradient influenced optimized values kinetic parameters. thermal history dependence parameters still prominent, however. Here Scherer–Hodge (SH) equation (based Adam–Gibbs model) instead TNM equation, describing time–structure–temperature relationship calculation. (AG) greater than But AG exists when lag incorporated.