Publication: Fast magnetic-responsive shape memory composites from bio-based benzoxazine/polyglycerol polyglycidyl ether copolymers highly filled with iron oxide nanoparticles
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Issued Date
2024-11-01
Resource Type
ISSN
1359835X
Scopus ID
2-s2.0-85200605148
Journal Title
Composites Part A: Applied Science and Manufacturing
Volume
186
Rights Holder(s)
SCOPUS
Bibliographic Citation
Composites Part A: Applied Science and Manufacturing Vol.186 (2024)
Suggested Citation
Phetnoi N., Amornkitbamrung L., Charoensuk K., Sapcharoenkun C., Jubsilp C., Ekgasit S., Rimdusit S. Fast magnetic-responsive shape memory composites from bio-based benzoxazine/polyglycerol polyglycidyl ether copolymers highly filled with iron oxide nanoparticles. Composites Part A: Applied Science and Manufacturing Vol.186 (2024). doi:10.1016/j.compositesa.2024.108398 Retrieved from: https://hdl.handle.net/20.500.14740/20073
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Abstract
Shape memory polymers are advanced materials that find diverse applications in soft robotic grippers, aerospace structures, and medical devices. This study focuses on developing fast magnetic-responsive shape memory composites using bio-based benzoxazine /polyglycerol polyglycidyl ether copolymers filled with high-content iron oxide nanoparticles (Fe3O4 NPs). We investigated how varying Fe3O4 NP content influenced composite properties. Results indicated improved saturation magnetization, mechanical strength, and thermal stability with increasing Fe3O4 NP content (5–45 wt%). Activation of the composites’ recovery process via an alternating magnetic field consistently achieved high shape recovery ratios (96–99 %). As Fe3O4 NP content increased, recovery time decreased from 14 to 3 s due to enhanced heat generation, accelerating shape restoration by reaching the glass transition temperature faster. Furthermore, we demonstrated their utility in a four-arm gripper, highlighting their potential in soft robotics. In conclusion, these shape memory composites exhibit rapid magnetic-responsive properties, promising significant applications in soft robotics.
