Polymer nanocomposites exhibit complex rheological behaviour due to physical and also sometimes chemical interactions between individual components. So far, rheology of polymer nanocomposites has been usually described by evaluation of viscosity curve (shear thinning), storage modulus curve (secondary plateau) or plotting information about dumping behaviour (e.g. Van Gurp-Palmen-plot, Cole-Cole plot). On the contrary to evaluation of damping behaviour, values of cot δ were calculated and called as „storage factor“, analogically to commonly used loss factor. Then values of storage factor were integrated over specific frequency range and called as “cumulative storage factor”. In this contribution, LDPE-ZnO-clay nanocomposites with different dispersion quality (physical networks) have been prepared and characterized by both conventional as well as novel analysis approach.
- 1. S. S. Ray and M. Okamoto, Progr. Polym. Sci. 28, 1539–1641 (2003). https://doi.org/10.1016/j.progpolymsci.2003.08.002, Google Scholar
- 2. M. Kracalik, L. Pospisil, M. Slouf, J. Mikesova, A. Sikora, J. Simonik and I. Fortelny, Polym. Compos. 29, 437–442 (2008). https://doi.org/10.1002/pc.20425, Google Scholar
- 3. M. Kracalik, L. Pospisil, M. Slouf, J. Mikesova, A. Sikora, J. Simonik and I. Fortelny. Polym. Compos. 29, 915–921 (2008). https://doi.org/10.1002/pc.20467, Google Scholar
- 4. M. Kracalik, S. Laske, M. Gschweitl, W. Friesenbichler and G. R. Langecker. J. Appl. Polym. Sci. 113, 1422–1428 (2009). https://doi.org/10.1002/app.29888, Google Scholar
- 5. S. Laske, A. Witschnigg, H. Mattausch, M. Kracalik, G. Pinter, M. Feuchter, G. Maier and C. Holzer. Appl. Rheol. 22, 24590–24599 (2012). Google Scholar
- 6. S. Laske, M. Kracalik, M. Feuchter, G. Pinter, G. Maier, W. Märzinger, M. Haberkorn and G. R. Langecker. J. Appl. Polym. Sci. 114, 2488–2496 (2009). https://doi.org/10.1002/app.30765, Google Scholar
- 7. A. Witschnigg, S. Laske, M. Kracalik, M. Feuchter, G. Pinter, G. Maier, W. Märzinger, M. Haberkorn, G. R. Langecker and C. Holzer, J. Appl. Polym. Sci. 117, 3047–3053 (2010). Google Scholar
- 8. J. Gilman, T. Kashiwagi and J. Lichtenhan, Sampe J. 33, 40–46 (1997). Google Scholar
- 9. S. S. Ray, K. Yamada, M. Okamoto and K. Ueda, Polymer 44, 857–866 (2003). https://doi.org/10.1016/S0032-3861(02)00818-2, Google Scholar
- 10. K. M. Lee and C. D. Han, Macromolecules 36, 7165–7178 (2003). https://doi.org/10.1021/ma030302w, Google Scholar,
- 11. S. Laske, M. Kracalik, M. Gschweitl, M. Feuchter, G. Maier, G. Pinter, R. Thomann, W. Friesenbichler and G. R. Langecker. J. Appl. Polym. Sci. 111, 2253–2259 (2009). https://doi.org/10.1002/app.29163, Google Scholar
- 12. M. Kracalik, S. Laske, A. Witschnigg and C. Holzer, Rheol Acta 50, 937–944 (2011). https://doi.org/10.1007/s00397-011-0545-2, Google Scholar
- 13. M. Van Gurp and J. Palmen, Rheol. Bull. 67, 5–8 (1998). Google Scholar
- 14. S. Trinkle, P. Walter and C. Friedrich, Rheol. Acta 41, 103–113 (2002). https://doi.org/10.1007/s003970200010, Google Scholar,
- 15. M. Kracalik, AIP Conference Proceedings, 1843, 050005-1–050005-5 (2017). https://doi.org/10.1063/1.4982997, Google Scholar
- © 2019 Author(s).
Published by AIP Publishing.
Web of Science
Please Note: The number of views represents the full text views from December 2016 to date. Article views prior to December 2016 are not included.