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Multi-Shape Memory Mechanical Metamaterials

Hang Yang1,2,3, Wei Zhai3, Ma Li1,*, Damiano Pasini2,*

1 Center for Composite Materials, Harbin Institute of Technology, Harbin, 150080, China
2 Mechanical Engineering Department, McGill University, Montreal, QC H3A OC3, Canada
3 Department of Mechanical Engineering, National University of Singapore, Queenstown, 117575, Singapore

* Corresponding Authors: Ma Li; Damiano Pasini. Email: email; email

The International Conference on Computational & Experimental Engineering and Sciences 2024, 31(4), 1-1. https://doi.org/10.32604/icces.2024.010893

Abstract

Stimuli-responsive materials can alter their physicochemical properties, e.g., shape, color, or stiffness, upon exposure to an external trigger, e.g., heat, light, or humidity, exhibiting environmental adaptability. Among them, shape memory materials are limited by their multi-shape memory effect and the complex thermomechanical programming. In this work, we harness the distinct temperature-dependent elastic moduli of two 3D-printable polymers, that do not rely upon their intrinsic shape memory effect and compositional alteration to generate robust and simplified multi-shape memory responses in a variety of stimuli-responsive mechanical metamaterials, bypassing the typical intricate programming of conventional multi-shape memory polymers. This was achieved through the modular arrangement of bimaterial building blocks, each exhibiting distinct snap-through deformation modes and instability transition temperatures. We investigate this stability transition mechanism through a comprehensive approach, including theoretical models, numerical simulations, and thermomechanical experiments. Our responsive metamaterials exhibit remarkable features, including step-by-step multistability, multiple deformation modes, adjustable stiffness, multi-shape memory, and swift recovery. We demonstrate their multifunctional applications in reusable energy absorbing, fire protection sensors, and self-sensing grippers. Importantly, our approach is versatile, applicable to diverse patterns and instabilities, and adaptable to different materials. By harnessing bimaterials with distinct thermomechanical or chemicomechanical behaviors, multi-shape memory metamaterials responsive to various external stimuli, such as temperature, light, or moisture, can be created. This paves the way for a wide range of multifunctional applications, including adaptive morphing equipment, self-healing and self-assembly devices, self-powered sensors and actuators, and reconfigurable soft robots.

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Cite This Article

APA Style
Yang, H., Zhai, W., Li, M., Pasini, D. (2024). Multi-shape memory mechanical metamaterials. The International Conference on Computational & Experimental Engineering and Sciences, 31(4), 1-1. https://doi.org/10.32604/icces.2024.010893
Vancouver Style
Yang H, Zhai W, Li M, Pasini D. Multi-shape memory mechanical metamaterials. Int Conf Comput Exp Eng Sciences . 2024;31(4):1-1 https://doi.org/10.32604/icces.2024.010893
IEEE Style
H. Yang, W. Zhai, M. Li, and D. Pasini, “Multi-Shape Memory Mechanical Metamaterials,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 31, no. 4, pp. 1-1, 2024. https://doi.org/10.32604/icces.2024.010893



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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