On Temperature-Related Shift Factors and Master Curves in Viscoelastic Constitutive Models for Thermoset PolymersShow others and affiliations
2020 (English)In: Mechanics of composite materials, ISSN 0191-5665, E-ISSN 1573-8922, Vol. 56, no 5, p. 573-590Article in journal (Refereed) Published
Abstract [en]
Reliable accelerated testing routines involving tests at enhanced temperatures are of paramount importance in developing viscoelastic models for polymers. The theoretical basis, the time-temperature superposition (TTS) principle, is used to construct master curves and temperature-dependent shift factor, which is the necessary information to simulate the material response in arbitrary temperature and strain regimes. The Dynamic Mechanical and Thermal Analysis (DMTA) TTS mode, being one of the most promising approaches in terms of time efficiency and maturity of the software, is compared in this paper with macrotests at enhanced temperatures in their ability to give reliable master curves. It is shown, comparing simulations with test data for a chosen epoxy polymer, that none of the three DMTA TTS mode-based attempts used (at different temperature steps during frequency scanning) was successful in predicting the epoxy behavior in tests. On the contrary, using one-hour macrotests at enhanced temperatures gives a viscoelastic model with a very good predicting accuracy. Simulations were performed using an incremental formulation of the previously published VisCoR model for linear viscoelastic materials.
Place, publisher, year, edition, pages
Springer , 2020. Vol. 56, no 5, p. 573-590
Keywords [en]
dynamic mechanical and thermal analysis (DMTA), polymers, stress relaxation test, time-temperature superposition, viscoelasticity, Thermoanalysis, Accelerated testing, Arbitrary temperature, Incremental formulation, Linear viscoelastic material, Temperature dependent, Time-temperature superposition principles, Viscoelastic constitutive models, Viscoelastic modeling
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-50937DOI: 10.1007/s11029-020-09905-2Scopus ID: 2-s2.0-85096118715OAI: oai:DiVA.org:ri-50937DiVA, id: diva2:1506261
Note
Funding details: Swedish Foundation for International Cooperation in Research and Higher Education, STINT; Funding text 1: Acknowledgements. The authors would like to thank the Higher Education Improvement Coordination (CAPES/Brazil) and The Swedish Foundation for International Cooperation in Research and Higher Education (STINT/Sweden) for their financial support.
2020-12-022020-12-022021-10-15Bibliographically approved