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Understanding the shape memory behavior of thermoplastic polyurethane elastomers with coarse-grained molecular dynamics simulations

Published online by Cambridge University Press:  12 January 2017

Md Salah Uddin*
Affiliation:
Department of Mechanical and Energy Engineering, University of North Texas Denton, TX 76203, USA
Jaehyung Ju
Affiliation:
University of Michigan - Shanghai Jiao Tong University Joint Institute Shanghai, 200240, China
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Abstract

We perform molecular dynamics (MD) simulations to understand thermally triggered shape memory behavior of a thermoplastic polyurethane (TPU) elastomer with an enhanced coarse-grained (CG) model. Hard and soft phases of shape memory polymers (SMPs) are known as fixed and reversible phase, respectively. Fixity depends on the content of hard segments due to their restricted mobility. On the contrary, recovery depends on the dynamic motion of the soft segments as well the degree of cross-linking, which is also affected by the quantity of hard segment. Several CG models of the TPU are constructed varying the weight percentage of soft segments to observe their effects on shape recovery and fixity. All of the models are equilibrated at 300K (above glass transition, Tg: 200-250 K) and deformed under uniaxial loading with NPT (isothermal-isobaric) ensembles. The deformed state is cooled to 100K (below Tg) and further equilibrated to estimate the shape fixity. Shape recovery is predicted by heating and equilibrating the structures back to 300K. By the end of this study, we may answer how much the shape fixities and recoveries are changed for varying concentration of hard segments from thermomechanical cycles with CGMD simulations.

Type
Articles
Copyright
Copyright © Materials Research Society 2017 

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References

REFERENCES

Xie, T., Polymer, 52(22), 49855000 (2011).CrossRefGoogle Scholar
Lendlein, A. & Kelch, S., Angewandte Chemie International Edition, 41(12), 20342057 (2002).Google Scholar
Behl, M., Razzaq, M. Y., & Lendlein, A., Advanced materials, 22(31), 33883410 (2010).Google Scholar
Liu, Y., Du, H., Liu, L., & Leng, J., Smart Materials and Structures, 23(2), 023001 (2014).Google Scholar
Mather, P. T., Luo, X., & Rousseau, I. A., Annual Review of Materials Research, 39, 445471 (2009).Google Scholar
Meng, Q., & Hu, J., Composites Part A: Applied Science and Manufacturing, 40(11), 16611672 (2009).Google Scholar
Wu, X., Huang, W. M., Zhao, Y., Ding, Z., Tang, C., & Zhang, J., Polymers, 5(4), 11691202 (2013).Google Scholar
Lendlein, A., & Langer, R., Science, 296(5573), 16731676 (2002).Google Scholar
Zhang, C., Hu, J., Ji, F., Fan, Y., & Liu, Y., Journal of molecular modeling, 18(4), 12631271 (2012).Google Scholar
Zhu, Y., Hu, J., Yeung, L. Y., Liu, Y., Ji, F., & Yeung, K. W., Smart materials and structures, 15(5), 1385 (2006).Google Scholar
Ji, F. L., Hu, J. L., & Han, J. P., High Performance Polymers, 23(3), 177187 (2011).CrossRefGoogle Scholar
Ahmad, M., Xu, B., Purnawali, H., Fu, Y., Huang, W., Miraftab, M., & Luo, J., Applied Sciences, 2(2), 535548 (2012).Google Scholar
Lin, J. R., & Chen, L. W., Journal of applied polymer science, 69(8), 15631574; 1575-1586 (1998).Google Scholar
Sariola, V., Pena-Francesch, A., Jung, H., Çetinkaya, M., Pacheco, C., Sitti, M., & Demirel, M. C., Scientific reports, 5 (2015).Google Scholar
Zhang, C., Hu, J., Li, X., Wu, Y., & Han, J., The Journal of Physical Chemistry A, 118(51), 1224112255 (2014).Google Scholar
Zhang, C., Hu, J., Chen, S., & Ji, F., Journal of molecular modeling, 16(8), 13911399 (2010).Google Scholar
Xie, T., & Rousseau, I. A., Polymer, 50(8), 18521856 (2009).Google Scholar
Kratz, K., Madbouly, S. A., Wagermaier, W., & Lendlein, A., Advanced Materials, 23(35), 40584062 (2011).Google Scholar
Wu, X., Liu, L., Fang, W., Qiao, C., & Li, T., Journal of Materials Science, 51(5), 27272738 (2016).CrossRefGoogle Scholar
Kolesov, I. S., Kratz, K., Lendlein, A., & Radusch, H. J., Polymer, 50(23), 54905498 (2009).Google Scholar
Ghobadi, E., Heuchel, M., Kratz, K., & Lendlein, A., Macromolecular Chemistry and Physics, 214(11), 12731283 (2013).Google Scholar
Diani, J., & Gall, K., Smart Materials and Structures, 16(5), 1575 (2007).Google Scholar
Davidson, J. D., & Goulbourne, N. C., Smart Materials and Structures, 24(5), 055014 (2015).Google Scholar
Uddin, M. S., Ju, J., Journal of Engineering Materials and Technology, 139(1), 011001, (2016).Google Scholar
Uddin, M. S., Ju, J., Polymer, 101, 3447 (2016).Google Scholar
Mark, J. E., Polymer Data Handbook, 2nd ed. (Oxford University Press, New York, 1999) p. 875.Google Scholar