journal article·2022-03

An investigation into the effect of thermal variables on the 3D printed shape memory polymer structures with different geometries

Mohammadhadi Hosseinzadeh, Majid Ghoreishi, Keivan Narooei

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Abstract

In this paper, the effects of thermal parameters including the deformation temperature, shape recovery temperature, and heating rate on the shape recovery of a specific rounded rectangle structure were investigated using the design of experiments. Three-point bending thermo-mechanical tests were subsequently carried out where water was used for controlling the temperature. It was found that the deformation temperature and heating rate have the most and the least effect on the shape recovery of polylactic acid (PLA) SMPs, respectively. The mathematical modeling results showed that the optimum condition of the highest shape recovery is obtained at the deformation temperature of 53.31°C, recovery temperature of 59.94°C, and heating rate of 8.05°C/min. It was also observed that the shape recovery of the specified rounded rectangle structure manufactured by the 3D printing method was enhanced from 93.03% to 98.14% by optimizing the thermal parameters. Besides, the optimum condition was applied to structures with different cell geometries and it was shown that the obtained condition was also enhanced the shape recovery of structures with diamond and honeycomb. More specifically, the shape recovery of noted structures was significantly enhanced to 98.00% and 97.71 % from 82.86% and 78.89%, respectively.
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Research context

OpenAlex topics: Polymer composites and self-healing · Electrospun Nanofibers in Biomedical Applications · Advanced Materials and Mechanics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran

Department of Materials Science and Engineering, K. N. Toosi University of Technology, Tehran, Iran

References (50)

Show source-provided references
1. 10.1177/1045389X1880345910.1177/1045389X18803459 ↗
2. 10.1002/pen.2535310.1002/pen.25353 ↗
3. 10.1177/089270572199753410.1177/0892705721997534 ↗
4. 10.1016/j.polymertesting.2018.04.03210.1016/j.polymertesting.2018.04.032 ↗
5. 10.1088/1361-665X/ab28fc10.1088/1361-665X/ab28fc ↗
6. 10.1016/j.mechmat.2013.08.00810.1016/j.mechmat.2013.08.008 ↗
7. 10.1088/1361-665X/ab78b410.1088/1361-665X/ab78b4 ↗
8. 10.1016/j.ijmecsci.2020.10574210.1016/j.ijmecsci.2020.105742 ↗
9. 10.1002/admt.20170010210.1002/admt.201700102 ↗
10. Bilyeu B · 2001
11. 10.1039/C8NR01438H10.1039/C8NR01438H ↗
12. 10.1021/cr200162d10.1021/cr200162d ↗
13. Dietsch B · Journal of Advanced Materials · 2007 · 39 · 3
14. 10.1126/sciadv.160289010.1126/sciadv.1602890 ↗
15. 10.1016/j.jmbbm.2017.04.00110.1016/j.jmbbm.2017.04.001 ↗
16. 10.1002/jbm.a.3029610.1002/jbm.a.30296 ↗
17. 10.1038/srep3111010.1038/srep31110 ↗
18. 10.1038/nmat454410.1038/nmat4544 ↗
19. 10.1016/j.progpolymsci.2019.03.00110.1016/j.progpolymsci.2019.03.001 ↗
20. Havens DE, Hood PJ, Havens TE, et al. Cornerstone Research Group Inc (2011) Environmental condition cumulative tracking integration sensor using shape memory polymer. U.S. Patent 8,033,237.
21. 10.1002/adma.20157018210.1002/adma.201570182 ↗
22. Hood PJ, Havens DE; Cornerstone Research Group Inc (2006) Structural and optical applications for shape memory polymers (SMP). U.S. Patent 6,986,855.
23. 10.1177/1045389X2093556910.1177/1045389X20935569 ↗
24. 10.1016/j.biotechadv.2011.06.01910.1016/j.biotechadv.2011.06.019 ↗
25. 10.1038/s41598-019-44110-910.1038/s41598-019-44110-9 ↗
26. 10.1088/0964-1726/19/6/06501410.1088/0964-1726/19/6/065014 ↗
27. Maitland DJ, Lee AP, Schumann DL, et al. (2000) Shape memory polymer (SMP) gripper with a release sensing system. U.S. Patent 6,102,917.
28. 10.1177/1045389X2092483710.1177/1045389X20924837 ↗
29. 10.1016/j.compositesa.2009.08.01110.1016/j.compositesa.2009.08.011 ↗
30. 10.1016/j.matdes.2017.02.06810.1016/j.matdes.2017.02.068 ↗
31. Myers RH · 2016
32. 10.1016/j.compstruct.2006.08.01710.1016/j.compstruct.2006.08.017 ↗
33. Oh JK · 2011 · 7 · 5096
34. 10.1016/j.addma.2015.09.00410.1016/j.addma.2015.09.004 ↗
35. Roudbarian N · Energy Equipment and Systems · 2019 · 7 · 309
36. 10.1088/1361-665X/ab324610.1088/1361-665X/ab3246 ↗
37. 10.1016/j.addr.2016.06.01410.1016/j.addr.2016.06.014 ↗
38. 10.1016/j.eurpolymj.2015.03.06710.1016/j.eurpolymj.2015.03.067 ↗
39. 10.1177/1045389X1454665810.1177/1045389X14546658 ↗
40. 10.1016/j.matdes.2009.11.03610.1016/j.matdes.2009.11.036 ↗
41. Tibbits S · TED conference · 2013
42. 10.1177/14644207032170020510.1177/146442070321700205 ↗
43. Turi E · 1981
44. 10.1016/j.addr.2016.06.01810.1016/j.addr.2016.06.018 ↗
45. 10.1351/pac19661201034110.1351/pac196612010341 ↗
46. 10.1038/srep2422410.1038/srep24224 ↗
47. 10.3390/ma1008097010.3390/ma10080970 ↗
48. 10.1177/1045389X2091679510.1177/1045389X20916795 ↗
49. 10.1038/ncomms406610.1038/ncomms4066 ↗
50. 10.1016/j.progpolymsci.2015.04.00110.1016/j.progpolymsci.2015.04.001 ↗