Advancing Shape Memory Polymer Blends: Enhancing Mechanical Properties and Tailoring Shape Recovery
DOI:
https://doi.org/10.53573/rhimrj.2022.v09i11.001Keywords:
Polymer blends, pattern analysis, microstructure, material properties, tailored design, complex data, material scienceAbstract
This paper explores the integration of pattern analysis techniques into the study of polymer blends, aiming to enhance our understanding of their microstructure and properties. Polymer blends, combinations of two or more polymers, hold immense potential for tailored material design. However, accurately characterizing their intricate microstructures remains a challenge. Pattern analysis offers advanced tools for uncovering hidden relationships within complex data. This research investigates how pattern analysis can provide insights into the structural features and performance of polymer blends, contributing to advancements in material science and industrial applications.
References
Bothe, M., Emmerling, F., & Pretsch, T. (2013). Poly(ester urethane) with varying polyester chain length: Polymorphism and shape-memory behavior. Macromolecular Chemistry and Physics, 214(23), 2683–2693. https://doi.org/10.1002/MACP.201300464
Fei, G., Li, G., Wu, L., & Xia, H. (2012). A spatially and temporally controlled shape memory process for electrically conductive polymer-carbon nanotube composites. Soft Matter, 8(19), 5123–5126. https://doi.org/10.1039/C2SM07357A
Jeong, H. M., Song, J. H., Chi, K. W., Kim, I., & Kim, K. T. (2002). Shape memory effect of poly(methylene-1,3-cyclopentane) and its copolymer with polyethylene. Polymer International, 51(4), 275–280. https://doi.org/10.1002/PI.823
Lee, K. M., Koerner, H., Vaia, R. A., Bunning, T. J., & White, T. J. (2011). Light-activated shape memory of glassy, azobenzene liquid crystalline polymer networks. Soft Matter, 7(9), 4318–4324. https://doi.org/10.1039/C1SM00004G
Luo, H., Liu, Y., Yu, Z., Zhang, S., & Li, B. (2008). Novel biodegradable shape memory material based on partial inclusion complex formation between α-cyclodextrin and poly(ε-caprolactone). Biomacromolecules, 9(10), 2573–2577. https://doi.org/10.1021/BM8004726
Momtaz, M., Razavi-Nouri, M., & Barikani, M. (2014). Effect of block ratio and strain amplitude on thermal, structural, and shape memory properties of segmented polycaprolactone-based polyurethanes. Journal of Materials Science, 49(21), 7575–7584. https://doi.org/10.1007/S10853-014-8466-Y
Raja, M., Ryu, S. H., & Shanmugharaj, A. M. (2014). Influence of surface modified multiwalled carbon nanotubes on the mechanical and electroactive shape memory properties of polyurethane (PU)/poly(vinylidene diflouride) (PVDF) composites. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 450(1), 59–66. https://doi.org/10.1016/J.COLSURFA.2014.03.008
Xie, H., He, M. J., Deng, X. Y., Du, L., Fan, C. J., Yang, K. K., & Wang, Y. Z. (2016). Design of Poly(l-lactide)-Poly(ethylene glycol) Copolymer with Light-Induced Shape-Memory Effect Triggered by Pendant Anthracene Groups. ACS Applied Materials and Interfaces, 8(14), 9431–9439. https://doi.org/10.1021/ACSAMI.6B00704
Zhang, W., Chen, L., & Zhang, Y. (2009). Surprising shape-memory effect of polylactide resulted from toughening by polyamide elastomer. Polymer, 50(5), 1311–1315. https://doi.org/10.1016/J.POLYMER.2009.01.032
