Novel laser processed shape memory alloy actuator design with an embedded strain gauge sensor using dual resistance measurements. Part I: Fabrication and model-based position estimation

2017 ◽  
Vol 263 ◽  
pp. 234-245 ◽  
Author(s):  
Nima Zamani ◽  
Mir Behrad Khamesee ◽  
Mohammad Ibraheem Khan
1997 ◽  
Author(s):  
A. Peter Jardine ◽  
John S. Flanagan ◽  
Christopher A. Martin ◽  
Bernie F. Carpenter

Author(s):  
Othmane Benafan ◽  
Jeff Brown ◽  
F. Tad Calkins ◽  
Parikshith Kumar ◽  
Aaron Stebner ◽  
...  

Upon examination of shape memory alloy (SMA) actuation designs, there are many considerations and methodologies that are common to them all. A goal of CASMART’s design working group is to compile the collective experiences of CASMART’s member organizations into a single medium that engineers can then use to make the best decisions regarding SMA system design. In this paper, a review of recent work toward this goal is presented, spanning a wide range of design aspects including evaluation, properties, testing, modeling, alloy selection, fabrication, actuator processing, design optimization, controls, and system integration. We have documented each aspect, based on our collective experiences, so that the design engineer may access the tools and information needed to successfully design and develop SMA systems. Through comparison of several case studies, it is shown that there is not an obvious single, linear route a designer can adopt to navigate the path of concept to product. SMA engineering aspects will have different priorities and emphasis for different applications.


2013 ◽  
Vol 10 (1) ◽  
pp. 1-42 ◽  
Author(s):  
O. Benafan ◽  
J. Brown ◽  
F. T. Calkins ◽  
P. Kumar ◽  
A. P. Stebner ◽  
...  

Author(s):  
Masoud Zarepoor ◽  
Zhijian Ren ◽  
Carmel Majidi

Abstract This paper introduces the fabrication and calibration of a soft shape memory alloy actuator with an integrated liquid metal sensor. The actuator is capable of transforming from an unactuated soft curled shape to an actuated rigid straight shape when it is electrically activated. The surface-bonded sensor is a capacitive strain gauge capable of tracking actuator curvature, which is composed of microfluidic channels of liquid metal alloy embedded in a soft silicone elastomer. The sensor has limited impact on the mechanical properties of the actuator due to being soft and lightweight. The fabrication procedure of the actuator is demonstrated in detail, and it is explained how the actuator can be easily fabricated using rapid prototyping techniques, such as laser cutting and stencil lithography. Then, the calibration procedure shows how the capacitance of the bonded strain gauge can be related to the actuator curvature by aligning capacitance data from the sensor with the actuator’s curvature captured by a fast camera. Finally, we implemented a closed-loop control strategy to show the effectiveness of the integrated sensor in improving the actuator performance. The used control scheme provides a method for optimizing actuation in a way that maximizes actuation amplitude. For optimal control, we use a learning-based approach with a covariant matrix adaptive evolutionary strategy (CMA-ES). It is shown that small change in either applied voltage or actuation time will lead to a large difference on the actuation performance.


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