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Artificial Thermal Ageing of Polyester Reinforced and Polyvinyl Chloride Coated Technical Fabric

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Communication: Direct tests of single-parameter aging.

Tina Hecksher¹, Niels Boye Olsen¹, Jeppe C Dyre¹

¹DNRF Center "Glass and Time," IMFUFA, Department of Sciences, Roskilde University, P.O. Box 260, DK-4000 Roskilde, Denmark.

The Journal of Chemical Physics

|July 3, 2015

Summary

This summary is machine-generated.

This study details physical aging in organic glasses below the glass transition temperature. New data simplify aging calculations, enabling direct relaxation curve derivation without fitting.

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Area of Science:

Materials Science
Physical Chemistry
Polymer Science

Background:

Physical aging significantly affects the properties of amorphous materials like organic glasses.
Understanding aging dynamics is crucial for predicting material performance and longevity.
Existing aging formalisms can be complex and require extensive fitting procedures.

Purpose of the Study:

To present accurate data on the physical aging of organic glasses.
To investigate aging phenomena just below the glass transition temperature.
To validate a simplified aging formalism against experimental data.

Main Methods:

Monitoring shear-mechanical resonance frequency (∼360 kHz) and dielectric properties (loss at 1 Hz, dielectric constant at 10 kHz, beta process loss-peak frequency at ∼10 kHz).
Utilizing a high-precision temperature control setup (±100 μK) with rapid thermal equilibration (within seconds).
Applying temperature up and down jumps to probe aging kinetics.

Main Results:

Experimental data accurately reflect physical aging processes in organic glasses.
The observed aging behavior conforms to a simplified Tool-Narayanaswamy aging formalism.
The simplified model allows for direct calculation of relaxation curves from one another.

Conclusions:

Accurate experimental data provide new insights into physical aging of organic glasses.
A simplified aging formalism effectively describes the observed phenomena.
This approach facilitates direct prediction of material relaxation behavior without complex analytical fitting.