shape memory actuators
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2021 ◽  
pp. 102658
Author(s):  
Arian Amirkiai ◽  
Mahbod Abrisham ◽  
Mahyar Panahi-Sarmad ◽  
Xueliang Xiao ◽  
Aidin Alimardani ◽  
...  

Nano Today ◽  
2021 ◽  
Vol 38 ◽  
pp. 101167
Author(s):  
Cordelia Sealy

2021 ◽  
Vol 6 (52) ◽  
pp. eabe6663 ◽  
Author(s):  
Qingkun Liu ◽  
Wei Wang ◽  
Michael F. Reynolds ◽  
Michael C. Cao ◽  
Marc Z. Miskin ◽  
...  

Shape-memory actuators allow machines ranging from robots to medical implants to hold their form without continuous power, a feature especially advantageous for situations where these devices are untethered and power is limited. Although previous work has demonstrated shape-memory actuators using polymers, alloys, and ceramics, the need for micrometer-scale electro–shape-memory actuators remains largely unmet, especially ones that can be driven by standard electronics (~1 volt). Here, we report on a new class of fast, high-curvature, low-voltage, reconfigurable, micrometer-scale shape-memory actuators. They function by the electrochemical oxidation/reduction of a platinum surface, creating a strain in the oxidized layer that causes bending. They bend to the smallest radius of curvature of any electrically controlled microactuator (~500 nanometers), are fast (<100-millisecond operation), and operate inside the electrochemical window of water, avoiding bubble generation associated with oxygen evolution. We demonstrate that these shape-memory actuators can be used to create basic electrically reconfigurable microscale robot elements including actuating surfaces, origami-based three-dimensional shapes, morphing metamaterials, and mechanical memory elements. Our shape-memory actuators have the potential to enable the realization of adaptive microscale structures, bio-implantable devices, and microscopic robots.


2021 ◽  
Vol 6 (52) ◽  
pp. eabh1560
Author(s):  
Mostafa Omar ◽  
Bohan Sun ◽  
Sung Hoon Kang

Microscale programmable shape-memory actuators based on reversible electrochemical reactions can provide exciting opportunities for microrobotics.


2021 ◽  
Vol 15 (1) ◽  
pp. 58-71
Author(s):  
C. Russo ◽  
X. Fernandez-Francos ◽  
S. De la Flor

2021 ◽  
Vol 34 (1) ◽  
pp. 04020099
Author(s):  
A. F. Saleeb ◽  
M. A. Soudah ◽  
J. S. Owusu-Danquah

2020 ◽  
Vol 133 ◽  
pp. 109745 ◽  
Author(s):  
Mahyar Panahi-Sarmad ◽  
Mahbod Abrisham ◽  
Mina Noroozi ◽  
Vahabodin Goodarzi ◽  
Mohammad Arjmand ◽  
...  

Actuators ◽  
2020 ◽  
pp. 139-158 ◽  
Author(s):  
Sithara Gopinath ◽  
Suresh Mathew ◽  
P. Radhakrishnan Nair

Algorithms ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 24 ◽  
Author(s):  
Najmeh Keshtkar ◽  
Klaus Röbenack

This paper develops the mathematical modeling and deflection control of a textile-reinforced composite integrated with shape memory actuators. The mathematical model of the system is derived using the identification method and an unstructured uncertainty approach. Based on this model and a robust stability analysis, a robust proportional–integral controller is designed for controlling the deflection of the composite. We showed that the robust controller depends significantly on the modeling of the uncertainty. The performance of the proposed controller is compared with a classical one through experimental analysis. Experimental results show that the proposed controller has a better performance as it reduces the overshoot and provide robustness to uncertainty. Due to the robust design, the controller also has a wide operating range, which is advantageous for practical applications.


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