Shape memory alloy wires turn composites into smart structures: II. Manufacturing and properties

Author(s):  
Veronique J. Michaud ◽  
Jan Schrooten ◽  
Magdelena Parlinska ◽  
Rolf Gotthardt ◽  
Jacques-Eric Bidaux
Author(s):  
B. Y. Ren ◽  
B. Q. Chen

The different Shape Memory Alloy (SMA) actuators have been widely used in the fields of smart structures. However, the accurate prediction of thermomechanical behavior of SMA actuators is very difficult due to the nonlinearity of inherence hysteresis of SMA. Therefore, the tracking control accuracy of SMA actuator is very important for the practical application of the SMA actuator. A dynamic hysteresis model of bias-type SMA actuator based on constitutive law developed by Brinson et al. and hysteresis model developed by Ikuta et al. is presented. The control systems composed of the Proportional Integral Derivative (PID) controller as well as a fuzzy controller or a fuzzy-PID composite controller for compensating the hysteresis is proposed. The effort of tracking control system is analyzed according to the simulation on the displacement of SMA actuator with the three kinds of controllers. The result can provide a reference for the application of SMA actuator in the fields of smart structures.


Materials ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 708 ◽  
Author(s):  
Andrea Sellitto ◽  
Aniello Riccio

The development of structures able to autonomously change their characteristics in response to an external simulation is considered a promising research field. Indeed, these structures, called smart structures, can be adopted to improve the aerodynamic performance of air and land vehicles. In this work, an overview and future applications of Shape Memory Alloys (SMA)-based smart structures are presented. The use of SMA materials seems to be very promising in several engineering sectors. Advanced SMA-based devices, designed to improve the aerodynamic performance of vehicles by modifying the shape of the spoiler and the rear upper panel, are briefly introduced and discussed in this paper. Indeed, a simplified model simulating the SMA mechanical behavior has been considered to demonstrate the feasibility of the introduced smart structures for adaptive aerodynamic applications. Numerical simulations of the investigated structures are provided as a justification of the proposed designs.


Author(s):  
R Jähne ◽  
L F Campanile

The thermal shape recovery shown by shape memory alloys is a property that makes these materials very attractive for applications in the field of smart structures, e.g. bending actuators. This article shows a design method for coaxial bimorphs that are composed of a linear-elastic and shape memory alloy component, properly coupled. A simple and effective method is proposed to solve for the component designs in order to achieve given bimorph configurations. Analytical examples and finite-element simulations are shown for the case of assigned bimorph's warm shape.


2004 ◽  
Vol 57 (1) ◽  
pp. 23-46 ◽  
Author(s):  
Stefan Seelecke ◽  
Ingo Mu¨ller

This review article gives an overview of the new and quickly developing field of shape memory alloy (SMA) actuators in smart structures. The focus is on the aspects of modeling and simulation of such structures, a task that goes beyond classical modeling approaches as it has to combine constitutive modeling with structural and control aspects in a highly interdisciplinary way. We review developments in each of these fields, trying to combine them into a smooth picture of how to treat the problem efficiently. After a discussion of modeling aspects with particular regard to actuator applications, the simulation of standard feedback control methods is demonstrated. Subsequently, model based methods from optimal control theory are presented, accounting for the strongly nonlinear and hysteretic material behavior of SMAs. Real-time optimal control methods are introduced and, finally, aspects of finite element implementation of an SMA actuator model are discussed and illustrated by the simulation of an adaptive aircraft wing. This review article cites 155 references.


2010 ◽  
Author(s):  
M. Riva ◽  
P. Bettini ◽  
L. Di Landro ◽  
G. Sala ◽  
F. M. Zerbi

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