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形状记忆合金驱动的铰接式自适应纤维橡胶复合材料——开发与模拟

Hinged Adaptive Fiber-Rubber Composites Driven by Shape Memory Alloys-Development and Simulation.

作者信息

Lohse Felix, Annadata Achyuth Ram, Häntzsche Eric, Gereke Thomas, Trümper Wolfgang, Cherif Chokri

机构信息

Institute for Textile Machinery and High Performance Material Technology, Technical University Dresden, 01062 Dresden, Germany.

出版信息

Materials (Basel). 2022 May 27;15(11):3830. doi: 10.3390/ma15113830.

DOI:10.3390/ma15113830
PMID:35683128
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9181661/
Abstract

Adaptive structures based on fiber-rubber composites with integrated Shape Memory Alloys are promising candidates for active deformation tasks in the fields of soft robotics and human-machine interactions. Solid-body hinges improve the deformation behavior of such composite structures. Textile technology enables the user to develop reinforcement fabrics with tailored properties suited for hinged actuation mechanisms. In this work, flat knitting technology is used to create biaxially reinforced, multilayer knitted fabrics with hinge areas and integrated Shape Memory Alloy wires. The hinge areas are achieved by dividing the structures into sections and varying the configuration and number of reinforcement fibers from section to section. The fabrics are then infused with silicone, producing a fiber-rubber composite specimen. An existing simulation model is enhanced to account for the hinges present within the specimen. The active deformation behavior of the resulting structures is then tested experimentally, showing large deformations of the hinged specimens. Finally, the simulation results are compared to the experimental results, showing deformations deviating from the experiments due to the developmental stage of the specimens. Future work will benefit from the findings by improving the deformation behavior of the specimens and enabling further development for first applications.

摘要

基于集成形状记忆合金的纤维 - 橡胶复合材料的自适应结构是软机器人技术和人机交互领域中主动变形任务的有前途的候选材料。实体铰链改善了此类复合结构的变形行为。纺织技术使用户能够开发具有适合铰链驱动机制的定制特性的增强织物。在这项工作中，采用横机技术制造具有铰链区域和集成形状记忆合金丝的双轴增强多层针织物。铰链区域是通过将结构分成不同部分，并使各部分的增强纤维配置和数量不同来实现的。然后将织物注入硅树脂，制成纤维 - 橡胶复合试样。增强现有的模拟模型以考虑试样中存在的铰链。然后对所得结构的主动变形行为进行实验测试，结果表明铰链试样出现了大变形。最后，将模拟结果与实验结果进行比较，结果表明由于试样的发展阶段，模拟变形与实验变形存在偏差。未来的工作将受益于这些发现，通过改善试样的变形行为并推动首次应用的进一步发展。

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本文引用的文献

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2
Long Shape Memory Alloy Tendon-based Soft Robotic Actuators and Implementation as a Soft Gripper.基于长形形状记忆合金肌腱的软机器人致动器及其作为软夹爪的实现
Sci Rep. 2019 Aug 2;9(1):11251. doi: 10.1038/s41598-019-47794-1.
3
Shape Memory Alloy-Based Soft Gripper with Variable Stiffness for Compliant and Effective Grasping.
基于形状记忆合金的软夹持器，具有可变刚度，可实现柔顺且有效的夹持。
Soft Robot. 2017 Dec;4(4):379-389. doi: 10.1089/soro.2016.0081. Epub 2017 Oct 12.