Volume 20, Issue 8 (August 2020)                   Modares Mechanical Engineering 2020, 20(8): 1967-1978 | Back to browse issues page

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Hasanzadeh A, Golzar M. 3D Printing of Shape-Memory Polymer based on Polylactic-Acid and Thermoplastic-Elastomer: Investigating of Shape-Memory and Thermo-Viscoelastic Properties. Modares Mechanical Engineering 2020; 20 (8) :1967-1978
URL: http://mme.modares.ac.ir/article-15-34218-en.html
1- Mechanical Engineering Faculty, Tarbiat Modares University, Tehran, Iran
2- Mechanical Engineering Faculty, Tarbiat Modares University, Tehran, Iran , m.golzar@modares.ac.ir
Abstract:   (2249 Views)
Smart polymers as a subset of smart materials have the ability to memorize their original form and return after reforming by inducing some stimulus. In this study, shape-memory polymers were manufactured in layers by 3D printing methods. Using this method, by controlling the percentage of each material in the sample and layer design the shape memory properties are investigated. The advantages of this method compared to other methods such as blending are the control simplicity of the impacting factors on the shape memory property, construction of complex parts, and improved shape memory property. TPU with elastic property and semi-crystalline PLA materials were used to achieve shape memory property and the samples printed out in TPU-UP and PLA -UP states to investigate the layer design effect. The results of shape memory tests showed that the number of layers, their arrangement, and shape memory properties can be easily controlled and designed. The results of DMTA test indicated that the recovery temperature in layered samples is lower than the other methods and the percentage of PLA and TPU can be controlled the recovery temperature. The recovery speed of layered samples in this study is very higher than previous studies, due to the amount of saved energy in TPU and the multilayered construction. Shape memory tests depicted that TPU increases the recovery ratio and the PLA increases the fixity ratio. The reason lay in the increase of the switching point percentage including crystallization, Tg, and reduction of cross-links which play the role of network cross.
Full-Text [PDF 1591 kb]   (1624 Downloads)    
Article Type: Original Research | Subject: Build add-on
Received: 2019/06/25 | Accepted: 2020/04/3 | Published: 2020/08/15

References
1. Srivastava V, Chester SA, Anand L. Thermally actuated shape-memory polymers: Experiments, theory, and numerical simulations. Journal of the Mechanics and Physics of Solids. 2010;58(8):1100-1124. [Link] [DOI:10.1016/j.jmps.2010.04.004]
2. Xie T. Recent advances in polymer shape memory. Polymer. 2011;52(22):4985-5000. [Link] [DOI:10.1016/j.polymer.2011.08.003]
3. Chen H, Xia H, Qiu Y, Xu Z, Ni QQ. Smart composites of piezoelectric particles and shape memory polymers for actuation and nanopositioning. Composites Science and Technology. 2018;163:123-132. [Link] [DOI:10.1016/j.compscitech.2018.05.004]
4. Wang Q, Fang G, Zhao Y, Wang G, Cai T. Computational and experimental investigation into mechanical performances of Poly-L-Lactide Acid (PLLA) coronary stents. Journal of the Mechanical Behavior of Biomedical Materials. 2017;65:415-427. [Link] [DOI:10.1016/j.jmbbm.2016.08.033]
5. Lantada AD, de Blas Romero A, Tanarro EC. Micro-vascular shape-memory polymer actuators with complex geometries obtained by laser stereo lithography. Smart Materials and Structures. 2016;25(6):065018. [Link] [DOI:10.1088/0964-1726/25/6/065018]
6. Liu W, Wu N, Pochiraju K. Shape recovery characteristics of SiC/C/PLA composite filaments and 3D printed parts. Composites Part A: Applied Science and Manufacturing. 2018;108:1-11. [Link] [DOI:10.1016/j.compositesa.2018.02.017]
7. Bear E, Kerns EB, Hiltner A. Processing and properties of polymer microlayered systems. Nato Science Series E. 2000;370:327-344. [Link] [DOI:10.1007/978-94-011-4138-3_16]
8. Lai SM, Lan YC. Shape memory properties of melt-blended polylactic acid (PLA)/thermoplastic polyurethane (TPU) bio-based blends. Journal of Polymer Research. 2013;20(5):140-148. [Link] [DOI:10.1007/s10965-013-0140-6]
9. Du J, Armstrong SR, Baer E. Co-extruded multilayer shape memory materials: Comparing layered and blend architectures. Polymer. 2013;54(20):5399-5407. [Link] [DOI:10.1016/j.polymer.2013.07.012]
10. Ji S, Wang J, Olah A, Baer E. Triple-shape-memory polymer films created by forced-assembly multilayer coextrusion. Journal of Applied Polymer Science. 2017;134(5):1-10. [Link] [DOI:10.1002/app.44405]
11. Mao Y, Ding Z, Yuan C, Ai S, Isakov M, Wu J, et al. 3D printed reversible shape changing components with stimuli responsive materials. Scientific Reports. 2016;6:24761. [Link] [DOI:10.1038/srep24761]
12. Yildirimer L, Seifalian AM. Sterilization-induced changes in surface topography of biodegradable POSS-PCLU and the cellular response of human dermal fibroblasts. Tissue Engineering, Part C: Methods. 2015;21(6):614-630. [Link] [DOI:10.1089/ten.tec.2014.0270]
13. Kantareddy SNR, Simpson TW, Ounaies Z, Frecker M. 3D printing of shape changing polymer structures : Design and characterization of materials. Solid Freeform Fabrication 2016: Proceedings of the 27th Annual International Solid Freeform Fabrication Symposium-An Additive Manufacturing Conference, Unknown Date & Location of Conference. Unknown Publisher; 2016. [Link]
14. Ghosh P, Rao A, Srinivasa AR. Design of multi-state and smart-bias components using shape memory alloy and shape memory polymer composites. Materials & Design (1980-2015). 2013;44:164-171. [Link] [DOI:10.1016/j.matdes.2012.05.063]
15. Kravchenko OG, Li C, Strachan A, Kravchenko SG, Pipes RB. Prediction of the chemical and thermal shrinkage in a thermoset polymer. Composites Part A: Applied Science and Manufacturing. 2014;66:35-43. [Link] [DOI:10.1016/j.compositesa.2014.07.002]
16. Shahzamani M. The relationship between structure and properties of TPU(PCL)/PCL blend by solution mixing compared with melt method [dissertation]. Tehran: Tarbiat Modares University; 2007. [Link]
17. Raasch J, Ivey M, Aldrich D, Nobes DS, Ayranci C. Characterization of polyurethane shape memory polymer processed by material extrusion additive manufacturing. Additive Manufacturing. 2015;8:132-141. [Link] [DOI:10.1016/j.addma.2015.09.004]
18. Gu SY, Jin SP, Gao XF, Mu J. Polylactide-based polyurethane shape memory nanocomposites (Fe3O4/PLAUs) with fast magnetic responsiveness. Smart Materials and Structures. 2016;25(5):1-12. [Link] [DOI:10.1088/0964-1726/25/5/055036]
19. Tobushi H, Hayashi S, Hoshio K, Makino Y, Miwa N. Bending actuation characteristics of shape memory composite with SMA and SMP. Journal of Intelligent Material Systems and Structures. 2006;17(12):1075-1081. [Link] [DOI:10.1177/1045389X06064885]
20. Ansari M, Golzar M, Baghani M, Soleimani M. Shape memory characterization of poly (ε-caprolactone) (PCL)/polyurethane (PU) in combined torsion-tension loading with potential applications in cardiovascular stent. Polymer Testing. 2018;68:424-432. [Link] [DOI:10.1016/j.polymertesting.2018.04.032]
21. Ge Q, Serjouei A, Qi HJ, Dunn ML. Thermomechanics of printed anisotropic shape memory elastomeric composites. International Journal of Solids and Structures. 2016;102-103:186-199. [Link] [DOI:10.1016/j.ijsolstr.2016.10.005]

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