Plant oil-based shape memory polymer using acrylic monolith

Tsujimoto, Takashi; Ohta, Eisuke; Uyama, Hiroshi

doi:10.3144/expresspolymlett.2015.71

Cited by 10 publications

(5 citation statements)

References 34 publications

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“…This is a very common way to generate interpenetrating polymer network (IPN) structure . IPN is a special type of polymer blends in which each kind of polymer forms a network . SEM is applied to characterize the structure of cured samples with the silicone–epoxy/acrylate photopolymers.…”

Section: Resultsmentioning

confidence: 99%

Silicone–Epoxy‐Based Hybrid Photopolymers for 3D Printing

Zhao

et al. 2018

Macro Chemistry & Physics

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In the present research, a type of cycloaliphatic silicone–epoxy resin is synthesized and then compounded with acrylates as well as photoinitiators to obtain hybrid photopolymers. The photocuring rate of the hybrid photopolymers, the morphology, thermal and mechanical properties of the cured samples with different silicone–epoxy/acrylate ratios are studied in detail. Scanning electron microscopy images prove that interpenetrating polymer network structure is formed. To improve the mechanical properties, diglycidyl ether of bisphenol A is added and finally a type of hybrid photopolymer suitable for stereolithography 3D printing is obtained. Fourier‐transform infrared spectroscopy and photo‐differential scanning calorimeter measurements show that the hybrid photopolymer has a high curing rate, while thermal property tests prove that the cured sample has high thermal stability. Mechanical property tests show that the cured samples have a tensile strength of 40.3 MPa with a break elongation of 6.7%. The objects printed with the hybrid photopolymer exhibit high resolution and dimension accuracy.

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Section: Resultsmentioning

confidence: 99%

Silicone–Epoxy‐Based Hybrid Photopolymers for 3D Printing

Zhao

et al. 2018

Macro Chemistry & Physics

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“…Most likely, an IPN structure will be formed in the printed sample. IPN is a special type of polymer blend in which both polymers generally are in network form. − Polymerization of a mixture with monomers reacting through different mechanisms is one of the most common methods to generate IPNs . Jansen et al reported IPN structure formed from radically initiated divinyl resins and amine-cured epoxy resin; , Griffini et al.…”

Section: Resultsmentioning

confidence: 99%

Three-Dimensional Printing of Shape Memory Composites with Epoxy-Acrylate Hybrid Photopolymer

Yang

Zhang

et al. 2017

ACS Appl. Mater. Interfaces

146

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Four-dimensional printing, a new process to fabricate active materials through three-dimensional (3D) printing developed by MIT's Self-Assembly Lab in 2014, has attracted more and more research and development interests recently. In this paper, a type of epoxy-acrylate hybrid photopolymer was synthesized and applied to fabricate shape memory polymers through a stereolithography 3D printing technique. The glass-to-rubbery modulus ratio of the printed sample determined by dynamic mechanical analysis is as high as 600, indicating that it may possess good shape memory properties. Fold-deploy and shape memory cycle tests were applied to evaluate its shape memory performance. The shape fixity ratio and the shape recovery ratio in ten cycles of fold-deploy tests are about 99 and 100%, respectively. The shape recovery process takes less than 20 s, indicating its rapid shape recovery rate. The shape fixity ratio and shape recovery ratio during 18 consecutive shape memory cycles are 97.44 ± 0.08 and 100.02 ± 0.05%, respectively, showing that the printed sample has high shape fixity ratio, shape recovery ratio, and excellent cycling stability. A tensile test at 62 °C demonstrates that the printed samples combine a relatively large break strain of 38% with a large recovery stress of 4.7 MPa. Besides, mechanical and thermal stability tests prove that the printed sample has good thermal stability and mechanical properties, including high strength and good toughness.

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“…SMP nanocomposites can be used in electrochemical devices, biomimetic devices, actuators and sensors, active sound-absorbing materials, smart textiles, smart windows, deployable space structures, morphing aircraft, artificial muscle, civil and architecture applications [57,58]. SMP based on biopolymer is worth to mention because this kind of successful SMP can offer good biodegradability and compostability, which is in line with sustainable development [59]. Karger-Kocsis and Kéki [51] had documented a review of biodegradable polyester-based shape memory polymers.…”

Section: Smart Polymer Nanocomposites 21 Shape Memory Polymermentioning

confidence: 99%

Smart polymer nanocomposites: A review

Chow¹,

Ishak²

2020

Express Polym. Lett.

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The development of smart polymer nanocomposites (SPN) has been an area of high scientific and industrial interest in recent years, due to fantastic improvements achieved in these materials. SPN found potential applications in shape memory, self-healing, self-sensing, self-heating, self-cleaning, and energy harvesting. This mini-review highlights the current research and development on SPN, specifically on shape memory polymer (SMP) and self-healing polymer (SHP) nanocomposites. The processing techniques for SPN nanocomposites, for example, polymerization, melt-compounding, solution mixing, electrospinning, and thermoset-curing are discussed. Some of the potential strategies to modify the properties of SMP and SHP nanocomposites are highlighted. The future perspective and recommended works for the SPN nanocomposites are shared in this mini-review.

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Plant oil-based shape memory polymer using acrylic monolith

Cited by 10 publications

References 34 publications

Silicone–Epoxy‐Based Hybrid Photopolymers for 3D Printing

Silicone–Epoxy‐Based Hybrid Photopolymers for 3D Printing

Three-Dimensional Printing of Shape Memory Composites with Epoxy-Acrylate Hybrid Photopolymer

Smart polymer nanocomposites: A review

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