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An exponential chemorheological model for viscosity dependence on degree-of-cure of a polyfurfuryl alcohol resin during the post-gel curing stage

机译:在凝胶后固化阶段粘度依赖于聚糠醇树脂固化度的指数化学流变模型

摘要

In the present study, the chemorheological behavior of a bio-based polyfurfuryl alcohol (PFA) resin has been determined by rheological isothermal tests at different curing temperatures for the post-gel curing stage of the resin, using three different amounts of catalyst (2, 4 and 6 wt %). Instead of modeling the evolution of the complex viscosity using a widely used chemorheological model such as the Arrhenius model for each tested temperature, the change of the complex viscosity as a function of the degree-of-cure was predicted using a new exponential type model. In this model, the logarithm of the normalized degree-of-cure is used to predict the behavior of the logarithm of the normalized complex viscosity. The model shows good quality of fitting with the experimental data for 4 and 6 wt % amounts of catalyst. For the 2 wt % amount of catalyst, scattered data leads to a slightly lower quality of fitting. Altogether, it is demonstrated that the new exponential model is a good alternative to conventional chemorheological models due to its simplicity and suitability
机译:在本研究中,通过三种不同量的催化剂,在不同的固化温度下,树脂的凝胶后固化阶段,通过流变等温试验确定了生物基聚糠醇(PFA)树脂的化学流变行为(2, 4和6重量%)。代替使用每个实验温度的广泛使用的化学流变模型(例如Arrhenius模型)来模拟复数粘度的变化,而是使用新的指数类型模型来预测复数粘度随固化度的变化。在此模型中,归一化固化度的对数用于预测归一化复数粘度的对数的行为。该模型显示出与4和6 wt%的催化剂的实验数据拟合的良好质量。对于2 wt%的催化剂,分散的数据会导致拟合质量略低。总而言之,新的指数模型由于其简单性和适用性而被证明是传统化学流变模型的良好替代品

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