Programming a crystalline shape memory polymer network with thermo- and photo-reversible bonds toward a single-component soft robot

Jin, Binjie; Song, Huijie; Jiang, Rui; Song, Jizhou; Zhao, Qian; Xie, Tao

doi:10.1126/sciadv.aao3865

Cited by 409 publications

(331 citation statements)

References 36 publications

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“…[31,32] Shapememory polymers (SMPs) deform from ag lassy state to an elastic state on heating, and stay in the deformed configuration permanently.T his irreversibly programmable feature allows their shape to be modified arbitrarily to construct complex active structures. [33][34][35][36] Another important class of thermally responsive polymer is liquid-crystalline elastomers (LCEs), where self-organizing liquid-crystal mesogens are incorporated into an entropically elastic polymer network. Upon heating above ap hase-transition temperature (e.g.…”

Section: Soft Actuating Materialsmentioning

confidence: 99%

Bio‐inspired Design and Additive Manufacturing of Soft Materials, Machines, Robots, and Haptic Interfaces

et al. 2019

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Soft materials possess several distinctive characteristics, such as controllable deformation, infinite degrees of freedom, and self‐assembly, which make them promising candidates for building soft machines, robots, and haptic interfaces. In this Review, we give an overview of recent advances in these areas, with an emphasis on two specific topics: bio‐inspired design and additive manufacturing. Biology is an abundant source of inspiration for functional materials and systems that mimic the function or mechanism of biological tissues, agents, and behaviors. Additive manufacturing has enabled the fabrication of materials and structures prevalent in biology, thereby leading to more‐capable soft robots and machines. We believe that bio‐inspired design and additive manufacturing have been, and will continue to be, important tools for the design of soft robots.

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Section: Soft Actuating Materialsmentioning

confidence: 99%

Bio‐inspired Design and Additive Manufacturing of Soft Materials, Machines, Robots, and Haptic Interfaces

et al. 2019

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“…For typical dynamic covalent polymer networks, their chain segmental distribution is statistically homogeneous, corresponding to the highest entropic and thermodynamically stable topological state. Dynamic bond rearrangement therefore cannot alter their network topology (14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27), although some exceptions exist such as change in network side-chain loops (13). Here, we define topological heterogeneity as the nonuniform chain segmental distribution in a polymer network.…”

Section: Resultsmentioning

confidence: 99%

“…Any intermediate topological states before reaching the full topological homogeneity can be kinetically trapped by deactivating the bond exchange. Within the general TIN concept, many design variations are possible in terms of both the choice of dynamic bonds (14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27) and the topological heterogeneous states. To ensure the general applicability, we choose transesterification in a polyester network for the following demonstration because ester bonds are the most common polymer building units.…”

Section: Resultsmentioning

confidence: 99%

“…Dynamic covalent bonds, on the other hand, open up opportunities in a different way for the design of cross-linked polymer networks. Via reversible covalent bond breaking/reforming, recyclable/reconfigurable/self-healable network polymers can be realized (14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27). For these purposes, it is essential that the network topology remains statistically identical throughout the bond exchange process.…”

Section: Introductionmentioning

confidence: 99%

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Light-triggered topological programmability in a dynamic covalent polymer network

Zou

Jin

et al. 2020

Sci. Adv.

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Dynamic covalent polymer networks exhibit unusual adaptability while maintaining the robustness of conventional covalent networks. Typically, their network topology is statistically nonchangeable, and their material properties are therefore nonprogrammable. By introducing topological heterogeneity, we demonstrate a concept of topology isomerizable network (TIN) that can be programmed into many topological states. Using a photo-latent catalyst that controls the isomerization reaction, spatiotemporal manipulation of the topology is realized. The overall result is that the network polymer can be programmed into numerous polymers with distinctive and spatially definable (thermo-) mechanical properties. Among many opportunities for practical applications, the unique attributes of TIN can be explored for use as shape-shifting structures, adaptive robotic arms, and fracture-resistant stretchable devices, showing a high degree of design versatility. The TIN concept enriches the design of polymers, with potential expansion into other materials with variations in dynamic covalent chemistries, isomerizable topologies, and programmable macroscopic properties.

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“…Recently, 3D printing has allowed for the construction of LC-based actuators having pre-designed initial shapes. [20][21][22] The ability to shape fix the starting geometry into any arbitrary shape and subsequently trigger reversible actuation through exposure to light, as done for temperature-driven actuators through shape memory or by using dynamic covalent bonds, [23][24][25][26][27][28][29][30][31] remains largely unexplored. Light encoding has been employed by Priimagi and co-workers as an approach towards photo-rewritable programming of light-driven actuation in LCNs.…”

Section: Introductionmentioning

confidence: 99%

Liquid Crystal Networks on Thermoplastics: Reprogrammable Photo‐Responsive Actuators

et al. 2020

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Arbitrary shape (re)programming is appealing for fabricating untethered shape‐morphing photo‐actuators with intricate configurations and features. We present re‐programmable light‐responsive thermoplastic actuators with arbitrary initial shapes through spray‐coating of polyethylene terephthalate (PET) with an azobenzene‐doped light‐responsive liquid crystal network (LCN). The initial geometry of the actuator is controlled by thermally shaping and fixing the thermoplastic PET, allowing arbitrary shapes, including origami‐like folds and left‐ and right‐handed helicity within a single sample. The thermally fixed geometries can be reversibly actuated through light exposure, with fast, reversible area‐specific actuation such as winding, unwinding and unfolding. By shape re‐programming, the same sample can be re‐designed and light‐actuated again. The strategy presented here demonstrates easy fabrication of mechanically robust, recyclable, photo‐responsive actuators with highly tuneable geometries and actuation modes.

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Programming a crystalline shape memory polymer network with thermo- and photo-reversible bonds toward a single-component soft robot

Abstract: Programming a shape memory polymer network with thermo- and photo-reversible bonds toward a single-component soft robot.

Cited by 409 publications

References 36 publications

Bio‐inspired Design and Additive Manufacturing of Soft Materials, Machines, Robots, and Haptic Interfaces

Bio‐inspired Design and Additive Manufacturing of Soft Materials, Machines, Robots, and Haptic Interfaces

Light-triggered topological programmability in a dynamic covalent polymer network

Liquid Crystal Networks on Thermoplastics: Reprogrammable Photo‐Responsive Actuators

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