Conversion from relaxation modulus to dynamic modulus
J-OCTA includes several methods for calculating viscoelastic master curves from relaxation modulus data obtained in simulations. Here, i-Rheo GT was used to calculate G′ and G″ from Molecular Dynamics results, applying the time–temperature superposition principle to obtain properties over a wide frequency range. As verification, it was applied to viscoelastic solids and results from Coarse-Grained MD of polymers, showing good agreement with theoretical values. i-Rheo GT can be operated easily from the GUI, making it an effective tool for understanding and designing the viscoelastic properties of polymer materials.
Use Cases Highlights
- Conversion of relaxation modulus to dynamic modulus
- Applicable to analysis of various materials
- Also useful for analysis of experimental results
Conversion of relaxation modulus to dynamic modulus
Results of applying the i-Rheo GT method to a viscoelastic solid are shown. While FFT shows errors at low frequencies, i-Rheo GT agrees well with theoretical solutions.
Application to viscoelastic solids
Applicable to the analysis of various materials
The results of evaluating a viscoelastic master curve using the relaxation modulus G(t) obtained from Coarse-Grained Molecular Dynamics (CGMD) with the Kremer–Grest model are shown. The results from FFT and i-Rheo GT are in good agreement, confirming the effectiveness of the method.
Evaluation of viscoelastic master curve using relaxation modulus obtained from Coarse-Grained Molecular Dynamics (CGMD)
Useful for analysis of experimental results as well
An overview of the linkage between i-Rheo GT and J-OCTA is shown. By passing simulation results from J-OCTA to i-Rheo GT, viscoelastic properties can be quickly evaluated, and the linkage flow is visually explained.
Overview diagram of linkage between i-Rheo GT and J-OCTA
Reference
[1] M. Tassieri, et al., Macromolecules 51, 14, 5055-5068 (2018)
[2] M. Tassieri, et al., Journal of Rheology 60, 649 (2016) (2016's most read article in the Journal of Rheology)
[2] M. Tassieri, et al., Journal of Rheology 60, 649 (2016) (2016's most read article in the Journal of Rheology)
Details of analysis
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