Modeling wide range of viscoelastic–viscoplastic behavior of Araldite LY 564 epoxy using cooperative viscoplasticity theory based on overstress model
Journal of Applied Polymer Science, cilt.140, sa.9, 2023 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 140 Sayı: 9
- Basım Tarihi: 2023
- Doi Numarası: 10.1002/app.53557
- Dergi Adı: Journal of Applied Polymer Science
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aerospace Database, Applied Science & Technology Source, Biotechnology Research Abstracts, Chemical Abstracts Core, Chimica, Communication Abstracts, Compendex, INSPEC, Metadex, Civil Engineering Abstracts
- Anahtar Kelimeler: cooperative VBO, epoxy, high strain rate, modeling, relaxation
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
The rate-dependent properties of epoxy (Araldite LY 564) were successfully addressed by dynamic mechanical analysis (DMA), quasi-static compression tests (strain rates: 1.E-3, 1.E-2, and 1.E-1 /s), Split Hopkinson Pressure Bar (SHPB) testing (strain rates: 875 and 770/s) and stress relaxation experiments (strain levels: 3.16 and 7.15%) are simulated by a micromechanically based constitutive model. The used model is Cooperative-Viscoplasticity Theory Based on Overstress (VBO) model. The majority of works about modeling polymers are limited to modeling quasi-static tension-compression behaviors and predicting elasticity modulus and yield strength. In this work, the effectiveness of the Cooperative-VBO model is verified and validated by simulating a wide range of material behaviors of Araldite LY 564. Material parameters of the model are determined by using storage modulus obtained from DMA and quasi-static compression test at a strain rate of 1.E-1 /s. High strain rate behaviors and stress relaxation behaviors are predicted. The behaviors from quasi-static to high strain rate, from stress relaxation at different strain levels to storage modulus, respectively, are predicted with a single set of material parameters. Simulation and prediction results revealed the effectiveness of the proposed model.