Long Time Response of Aging Glassy Polymers

TL;DR

This paper introduces an effective time domain approach that accurately predicts the long-term physical behavior of aging glassy polymers, accounting for physical aging, superposition principles, and complex deformation histories.

Contribution

The work presents a novel effective time domain method that improves long-term predictions of aging polymer behavior, surpassing conventional techniques.

Findings

Enables prediction of long-term behavior over extraordinary time scales

Successfully describes time temperature and stress superposition

Incorporates complex deformation histories in analysis

Abstract

Aging amorphous polymeric materials undergo free volume relaxation, which causes slowing down of the relaxation dynamics as a function of time. The resulting time dependency poses difficulties in predicting their long time physical behavior. In this work, we apply effective time domain approach to the experimental data on aging amorphous polymers and demonstrate that it enables prediction of long time behavior over the extraordinary time scales. We demonstrate that, unlike the conventional methods, the proposed effective time domain approach can account for physical aging that occurs over the duration of the experiments. Furthermore, this procedure successfully describes time temperature superposition and time stress superposition. It can also allow incorporation of varying dependences of relaxation time on aging time as well as complicated but known deformation history in the same experiments. This work strongly suggests that the effective time domain approach can act as an important tool to analyze the long time physical behavior of aging amorphous polymeric materials. Aging amorphous polymeric materials undergo free volume relaxation, which causes slowing down of the relaxation dynamics as a function of time. The resulting time dependency poses difficulties in predicting their long time physical behavior. In this work, we apply effective time domain approach to the experimental data on aging amorphous polymers and demonstrate that it enables prediction of long time behavior over the extraordinary time scales. We demonstrate that, unlike the conventional methods, the proposed effective time domain approach can account for physical aging that occurs over the duration of the experiments. Furthermore, this procedure successfully describes time temperature superposition and time stress superposition.