Publication: Effects of graphene nanoplatelets on bio-based shape memory polymers from benzoxazine/epoxy copolymers actuated by near-infrared light
| dc.contributor.author | Srisaard S. | |
| dc.contributor.author | Amornkitbamrung L. | |
| dc.contributor.author | Charoensuk K. | |
| dc.contributor.author | Sapcharoenkun C. | |
| dc.contributor.author | Jubsilp C. | |
| dc.contributor.author | Rimdusit S. | |
| dc.date.accessioned | 2022-12-14T03:17:28Z | |
| dc.date.available | 2022-12-14T03:17:28Z | |
| dc.date.issued | 2022 | |
| dc.date.issuedBE | 2565 | |
| dc.description.abstract | Novel near-infrared (NIR) light-induced bio-based shape memory polymers (SMPs) were prepared from copolymers of vanillin/furfurylamine-based benzoxazine monomer (V-fa monomer) and epoxidized castor oil (ECO). Incorporation of graphene nanoplatelets (GNPs) as photothermal fillers into the copolymers provided shape memory properties under near-infrared (NIR) light actuation. The effects of GNP content on photothermal, thermal, dynamic mechanical, morphology, and shape memory properties of the bio-based benzoxazine/epoxy copolymers (V-fa/ECO copolymers) were investigated. The results showed that the addition of GNPs significantly improved the photothermal, thermal, and dynamic mechanical properties of the copolymers. The uniform dispersion of 3 wt% GNPs in the V-fa/ECO copolymers resulted in the highest shape memory performance with shape fixity of 92% and shape recovery of 99% upon NIR light actuation. The recovery time decreased with the increment of GNP content, and the V-fa/ECO copolymers filled with GNPs displayed good execution in the repeated fold-deploy, in which the shape fixity and shape recovery values were close to the original specimen. Therefore, the outstanding properties of V-fa/ECO copolymers filled with GNPs had a potential to be excellent SMPs under NIR actuation. © The Author(s) 2021. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Journal of Intelligent Material Systems and Structures. Vol 33, No.4 (2022), p.547-557 | |
| dc.identifier.doi | 10.1177/1045389X211023587 | |
| dc.identifier.issn | 1045389X | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14740/10146 | |
| dc.language.iso | eng | |
| dc.rights.holder | มหาวิทยาลัยศรีนครินทรวิโรฒ | |
| dc.subject.other | Dynamics | |
| dc.subject.other | Graphene | |
| dc.subject.other | Graphene Nanoplatelets | |
| dc.subject.other | Monomers | |
| dc.subject.other | Polymers | |
| dc.subject.other | Recovery | |
| dc.subject.other | Shape optimization | |
| dc.subject.other | Shape-memory polymer | |
| dc.subject.other | Benzoxazine monomers | |
| dc.subject.other | Dynamic mechanical | |
| dc.subject.other | Dynamic mechanical property | |
| dc.title | Effects of graphene nanoplatelets on bio-based shape memory polymers from benzoxazine/epoxy copolymers actuated by near-infrared light | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| swu.datasource.scopus | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107663400&doi=10.1177%2f1045389X211023587&partnerID=40&md5=2d131198cd5cb306b739dd542d720ec0 |
