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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Hirschberg, Valerian
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2024Fast and Scalable Synthetic Route to Densely Grafted, Branched Polystyrenes and Polydienes via Anionic Polymerization Utilizing P2VP as Branching Point
- 2024Modeling elongational viscosity of polystyrene Pom-Pom/linear and Pom-Pom/star blends
- 2024Predicting maximum strain hardening factor in elongational flow of branched pom-pom polymers from polymer architecture
- 2024Hyperstretching in elongational flow of densely grafted comb and branch-on-branch model polystyrenes
- 2024Rheology of Poly(α-olefin) Bottlebrushes: Effect of Self-Dilution by Alkane Side Chains
- 2024Modeling Elongational Rheology of Model Poly((±)-lactide) Graft Copolymer Bottlebrushes
- 2024Effect of mechanical recycling on molecular structure and rheological properties of high-density polyethylene (HDPE)
- 2024Modeling elongational viscosity and brittle fracture of 10 polystyrene Pom-Poms by the hierarchical molecular stress function model
- 2023Magnesium Polymer Electrolytes Based on the Polycarbonate Poly(2-butyl-2-ethyltrimethylene-carbonate)
- 2023Modeling elongational viscosity of polystyrene Pom-Pom/linear and Pom-Pom/star blends
- 2023Complex polymer topologies in blends: Shear and elongational rheology of linear/pom-pom polystyrene blendscitations
- 2023Dynamic mechanical analysis of PA 6 under hydrothermal influences and viscoelastic material modelingcitations
- 2023Modeling elongational viscosity and brittle fracture of 10 polystyrene Pom-Poms by the hierarchical molecular stress function model
- 2022Comb and Branch‐on‐Branch Model Polystyrenes with Exceptionally High Strain Hardening Factor SHF > 1000 and Their Impact on Physical Foaming
- 2022Threading Polystyrene Stars: Impact of Star to POM‐POM and Barbwire Topology on Melt Rheological and Foaming Properties
- 2021Combining mechanical and thermal surface fourier transform analysis to follow the dynamic fatigue behavior of polymers
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article
Dynamic mechanical analysis of PA 6 under hydrothermal influences and viscoelastic material modeling
Abstract
Polyamides serve as matrix material for fiber reinforced composites and are widely applied in many different engineering applications. In this context, they are exposed to various environmental influences ranging from temperature to humidity. Thus, the influence of these environmental conditions on the mechanical behavior and the associated implications on the performance of the material is of utmost importance. In this work, the thermoviscoelastic behavior of polyamide 6 (PA 6) for two equilibrium moisture contents is investigated. To this end, dynamic mechanical analysis tests with and without humidity control of the environmental chamber were performed. In terms of relaxation tests, the experimental results reveal drying effects and increased diffusion activities when the sample’s equilibrium moisture content differs from the ambient humidity level within the testing chamber. Temperature-frequency tests quantify the humidity-induced shift of the glass transition temperature. The linear generalized Maxwell model (GMM) and time-temperature superposition are used to analyze the hydrothermal effects on the linear viscoelastic material properties and the onset of mechanical nonlinearity. Based on these investigations and findings, insight is gained on the humidity influence on the material properties and the limitations of linear thermoviscoelastic modeling. Furthermore, the computational construction of master curves and the parameter identification for a generalized Maxwell model are described in detail.