4D printed and multi-stimulus responsive shape memory polymer nanocomposites developed on hydrogen bonding–metal-phenolic sacrificial network: Application for hazardous chemical operations soft robots

Gu, Tongfei; Ji, Tong; Bi, Hongjie; Ding, KeJiao; Sun, Hao; Zhai, Wenxiang; Ren, Zechun; Wei, Yunzhao; Xu, Min

doi:10.1016/j.apmt.2023.102009

Cited by 3 publications

(1 citation statement)

References 36 publications

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“…Therein, the electrical stimuli could cause the robot to bend and push a bead to move due to the contractions. Based on a PPC/Fe 3 O 4 /SMP nanocomposite, Gu et al [ 81 ] 4D-printed the IR/magnetic dual-stimulated soft robots for hazardous chemical operations. Herein, the gripper reached the designed site due to the folded part shape recovered through the magnetic triggering.…”

Section: Actuating Methodsmentioning

confidence: 99%

Advancements in Soft Robotics: A Comprehensive Review on Actuation Methods, Materials, and Applications

Wang,

Mushtaq

et al. 2024

Polymers

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The flexibility and adaptability of soft robots enable them to perform various tasks in changing environments, such as flower picking, fruit harvesting, in vivo targeted treatment, and information feedback. However, these fulfilled functions are discrepant, based on the varied working environments, driving methods, and materials. To further understand the working principle and research emphasis of soft robots, this paper summarized the current research status of soft robots from the aspects of actuating methods (e.g., humidity, temperature, PH, electricity, pressure, magnetic field, light, biological, and hybrid drive), materials (like hydrogels, shape-memory materials, and other flexible materials) and application areas (camouflage, medical devices, electrical equipment, and grippers, etc.). Finally, we provided some opinions on the technical difficulties and challenges of soft robots to comprehensively comprehend soft robots, lucubrate their applications, and improve the quality of our lives.

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Section: Actuating Methodsmentioning

confidence: 99%

Advancements in Soft Robotics: A Comprehensive Review on Actuation Methods, Materials, and Applications

Wang,

Mushtaq

et al. 2024

Polymers

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Shape Memory Polyurethane Composite With Fast Response to Near‐Infrared Light Based on Tannic Acid–Iron and Dynamic Phenol‐Carbamate Network

Yong,

Liu,

Zhang

et al. 2024

Macromol. Rapid Commun.

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Intelligent materials derived from green and renewable bio‐based materials have garnered widespread attention recently. Herein, shape memory polyurethane composite (PUTA/Fe) with fast response to near‐infrared (NIR) light was successfully prepared by introducing Fe3+ into the tannic acid‐based polyurethane (PUTA) matrix through coordination between Fe3+ and tannic acid. The results show that the excellent NIR light response ability is due to the even distribution of Fe3+ filler with good photo‐thermal conversion ability. With the increase of Fe3+ content, the NIR light response shape recovery rate of PUTA/Fe composite films is significantly improved, and the shape recovery time is reduced from over 60 s to 40 s. In addition, the mechanical properties of PUTA/Fe composite film are also improved. Importantly, owing to the dynamic phenol‐carbamate network within the polymer matrix, the PUTA/Fe composite film can reshape its permanent shape through topological rearrangement, and show its good NIR light response shape memory performance. Therefore, PUTA/Fe composites with high content of bio‐based material (TA content of 15.1‐19.4%) demonstrate the shape memory characteristics of fast response to NIR light, so it will have great potential in the application of new intelligent materials including efficient and environmentally friendly smart photothermal responder.This article is protected by copyright. All rights reserved

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Analysis of the effects of interfacial parameters on the thermal conductivity properties of SiC/SMPU composites

Guan,

Bao,

Wei

et al. 2024

Polymer Composites

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Silicon carbide (SiC)/shape‐memory polyurethane (SMPU) soft robots possess programmable shapes and dual‐drive capabilities based on electrical and thermal methods. Enhancing the thermal conductivity (TC) of these composite materials effectively enhances the driving performance of the soft robots. In this study, we tune the interfacial thickness between SiC particles and the SMPU polymer matrix to regulate the TC of the composites. The optimized composite exhibits a 244% increase in the in‐plane TC and 153% increase in the out‐of‐plane TC. Furthermore, optimization significantly enhances the speed and efficiency of the soft robots. This study reveals that interfacial thickness is a key factor in regulating interfacial heat transfer, potentially introducing a new approach for reducing interfacial thermal resistance in composite materials. This study contributes to a deeper understanding of interfacial heat‐ transfer mechanisms and establishes a new theoretical framework for designing and fabricating advanced composite materials for soft robots.Highlights Interfacial heat‐ transfer mechanism was revealed. Interfacial thickness primarily controls interfacial heat transfer. The in‐plane and out‐of‐plane thermal conductivities of prepared composites were enhanced by 244% and 153%, respectively, by modifying the interfacial thickness. The multifunctional performance of the composites was improved due to microscale mechanisms.

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4D printed and multi-stimulus responsive shape memory polymer nanocomposites developed on hydrogen bonding–metal-phenolic sacrificial network: Application for hazardous chemical operations soft robots

Cited by 3 publications

References 36 publications

Advancements in Soft Robotics: A Comprehensive Review on Actuation Methods, Materials, and Applications

Advancements in Soft Robotics: A Comprehensive Review on Actuation Methods, Materials, and Applications

Shape Memory Polyurethane Composite With Fast Response to Near‐Infrared Light Based on Tannic Acid–Iron and Dynamic Phenol‐Carbamate Network

Analysis of the effects of interfacial parameters on the thermal conductivity properties of SiC/SMPU composites

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