Photo-responsive shape memory polymer composites enabled by doping with biomass-derived carbon nanomaterials

Yan, Nina; Zheng, Zhiyu; Liu, Yunliang; Jiang, Xizhi; Wu, Jiamin; Feng, Min; Lei, Xu; Guan, Qingbao; Li, Haitao

doi:10.1007/s12274-021-3674-7

Cited by 29 publications

(25 citation statements)

References 38 publications

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“…[ 513 ] These works represent common uses seen in the analyzed publications, and new recipes and applications of various shape‐memory materials are still being explored. [ 514–516 ]…”

Section: Resultsmentioning

confidence: 99%

“…[ 520,521 ] While not technically a biological material, Yan et al recently demonstrated a more “sustainable” SMP that incorporates a biomass‐derived carbon nanomaterial. [ 516 ]…”

Section: Resultsmentioning

confidence: 99%

“…[513] These works represent common uses seen in the analyzed publications, and new recipes and applications of various shapememory materials are still being explored. [514][515][516] Biological materials are rarely used in soft robots, a consequence of comprising living, organic cells that inherently require more maintenance and care than nonliving material. Combatting this drawback, the intrinsic organic properties of biological materials facilitate many benefits, including biocompatibility and biodegradability.…”

Section: Methodsmentioning

confidence: 99%

“…[520,521] While not technically a biological material, Yan et al recently demonstrated a more "sustainable" SMP that incorporates a biomass-derived carbon nanomaterial. [516] The final material designation is for robotic components made of textiles. Textiles are diverse in both their constituent materials as well as their structuring processes, which can be tuned for strength or compliance.…”

Section: Methodsmentioning

confidence: 99%

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A Data‐Driven Review of Soft Robotics

Jumet

Bell

Sánchez

et al. 2021

Advanced Intelligent Systems

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The past decade of soft robotics has delivered impactful and promising contributions to society and has seen exponentially increasing interest from scientists and engineers. This interest has resulted in growth of the number of researchers participating in the field and the quantity of their resulting contributions, stressing the community's ability to comprehend and build upon the literature. In this work, a data‐driven review is presented that addresses the recent surge of research by providing a quantitative snapshot of the field. Relevant data are catalogued with three levels of analysis. First, publication‐level analysis explores high‐level trends in the field and bibliometric relationships across the more detailed analyses. Second, device‐level analysis examines the tethering of robots and the incorporation of component types (actuators, sensors, controllers, power sources) into each robot. Finally, component‐level analysis investigates the compliances, material compositions, and “function media” (energetic methods by which components operate) of each soft robotic component in the analyzed literature. The reported data indicate a significant reliance on elastomeric materials, electrical and fluidic media, and physical tethering; meanwhile, controllers and power sources remain underdeveloped relative to actuators and sensors. These gaps in the surveyed literature are elaborated upon, and promising future directions for the field of soft robotics are identified.

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“…[ 513 ] These works represent common uses seen in the analyzed publications, and new recipes and applications of various shape‐memory materials are still being explored. [ 514–516 ]…”

Section: Resultsmentioning

confidence: 99%

“…[ 520,521 ] While not technically a biological material, Yan et al recently demonstrated a more “sustainable” SMP that incorporates a biomass‐derived carbon nanomaterial. [ 516 ]…”

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

A Data‐Driven Review of Soft Robotics

Jumet

Bell

Sánchez

et al. 2021

Advanced Intelligent Systems

View full text Add to dashboard Cite

show abstract

“…The most widespread SMPs are based on polyurethanes, − polystyrene, methacrylate, epoxies, , and composites. , Tuning a polymer’s composition changes an SMP’s mechanical properties and, thus, its actuation performance. SMPs can undergo microstructural changes through a variety of stimuli, including heat, , light, , magnetism, and pH, affecting the shape or macroconformation in a large scale like shape-memory alloys do but with the advantage of not using any metallic wire or hard metallic parts to the soft actuators . The most common shape-memory actuation mechanism is thermal, where at temperatures above the transition temperature ( T g ), an SMP demonstrates viscoelastic behavior, while at lower temperatures, only elastic behavior is observed .…”

Section: Introductionmentioning

confidence: 99%

All-Organic Electroactive Shape-Changing Knitted Textiles Using Thermoprogrammed Shape-Memory Fibers Spun by 3D Printing

Kim

Otal

Takizawa

et al. 2022

ACS Appl. Polym. Mater.

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Here, we present knittable shape-memory polymeric fibers extruded using a 3D-printer nozzle-based melt-spinning method for high throughput of composition and condition testing. These structures are used as the basis for electroactive shape-changing knitted textiles combining several types of fibers, including organic fibrous heaters. These structures represent a different approach to “on-demand” shape-memory fibers and can be incorporated into a variety of textile architectures, including inlaid knitting, diagonal interlacements, and a knit/purl design for an anisotropic knitted texture. The influence of manufacturing process parameters (e.g., drawing ratio during melt-spinning) on physical properties of the shape-memory fibers was measured using X-ray diffraction, thermomechanical cycling, scanning electron microscopy, and mechanical testing. The degree of crystallinity increased from 19.4 to 22.4% with the increased drawing ratio, with a maximum strain % of 450 and the fibers being able to lift 457 times their own weight. Further, we present a scalable strategy for bicomponent filament production, in which two distinct polymers are melt-spun in a side-by-side configuration and when actuated showed a coiled structure with different mechanical and thermal behavior than pure SMP fibers. The knitted textiles, obtained with a computer-controlled knitting machine able to produce 3D knitted structures, are deformed from two-dimensional planar structures to three-dimensional conformations by applying a voltage to the organic fibrous heaters. The deformed structure can be fixed by removing the applied voltage and can be returned to a planar configuration by heating and applying an uniaxial stress. Therefore, a hierarchical approach for fully textile-based, bendable, knittable, and electroactive soft actuators is presented. The results presented here demonstrate lab-scale production and high-throughput screening of advanced fibers with tunable properties.

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Functional Carbon from Nature: Biomass‐Derived Carbon Materials and the Recent Progress of Their Applications

Zhang

et al. 2023

Advanced Science

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Biomass is considered as a promising source to fabricate functional carbon materials for its sustainability, low cost, and high carbon content. Biomass-derived-carbon materials (BCMs) have been a thriving research field. Novel structures, diverse synthesis methods, and versatile applications of BCMs have been reported. However, there has been no recent review of the numerous studies of different aspects of BCMs-related research. Therefore, this paper presents a comprehensive review that summarizes the progress of BCMs related research. Herein, typical types of biomass used to prepare BCMs are introduced. Variable structures of BCMs are summarized as the performance and properties of BCMs are closely related to their structures. Representative synthesis strategies, including both their merits and drawbacks are reviewed comprehensively. Moreover, the influence of synthetic conditions on the structure of as-prepared carbon products is discussed, providing important information for the rational design of the fabrication process of BCMs. Recent progress in versatile applications of BCMs based on their morphologies and physicochemical properties is reported. Finally, the remaining challenges of BCMs, are highlighted. Overall, this review provides a valuable overview of current knowledge and recent progress of BCMs, and it outlines directions for future research development of BCMs.

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Photo-responsive shape memory polymer composites enabled by doping with biomass-derived carbon nanomaterials

Cited by 29 publications

References 38 publications

A Data‐Driven Review of Soft Robotics

A Data‐Driven Review of Soft Robotics

All-Organic Electroactive Shape-Changing Knitted Textiles Using Thermoprogrammed Shape-Memory Fibers Spun by 3D Printing

Functional Carbon from Nature: Biomass‐Derived Carbon Materials and the Recent Progress of Their Applications

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