Overview and Future Advanced Engineering Applications for Morphing Surfaces by Shape Memory Alloy Materials

Sellitto, Andrea; Riccio, Aniello

doi:10.3390/ma12050708

Cited by 60 publications

(31 citation statements)

References 115 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The SMAs ought to have a martensite finish temperature well over the most extreme working temperatures (see the dark spotted lines in Figure 20) so as to work appropriately. The correlation of the change temperature scopes of the most widely recognized SMAs that the less expensive Cu-Al-Ni SMAs can play out the change with temperatures up to 200°C, however, these SMAs are fragile, unsteady, have low exhaustion quality and are not appropriate for numerous cyclic activities [106,113,[115][116][117][118][119]. A wide determination of high temperature SMAs are accessible, however, these materials are known as costly for automobile applications [113].…”

Section: Brief Applicability Of Cu-based Smasmentioning

confidence: 99%

Cu-Based Shape Memory Alloys: Modified Structures and Their Related Properties

Saud¹

2020

Recent Advancements in the Metallurgical Engineering and Electrodeposition

View full text Add to dashboard Cite

Cu-Al-Ni shape memory alloys (SMAs) have been developed for hightemperature applications due to their ability to return to pre-deformed shape after heating above the transformation temperature, as well as these alloys have a small hysteresis and high transformation temperature comparing with other shape memory alloys. Adding some of the alloying elements such as Ti, Mn, Be, Zr and B or changing the interior content either Al or Ni by increasing/decreasing may have a significant effect on the phase transitions and enhance the mechanical properties of these alloys. However, the martensite phase transformation is the most important factor, which can be changing the whole properties of Cu-Al-Ni SMAs, where this phase is mainly affected by the alloying elements additions. This chapter reviews the effect of alloying elements on the phase transitions and the enhancement of the mechanical properties of this alloy.

show abstract

Section: Brief Applicability Of Cu-based Smasmentioning

confidence: 99%

Cu-Based Shape Memory Alloys: Modified Structures and Their Related Properties

Saud¹

2020

Recent Advancements in the Metallurgical Engineering and Electrodeposition

View full text Add to dashboard Cite

show abstract

“…As the actuators based on SMA have the advantages of simple structure, small size, light quality, and low cost, the SMA is increasingly used in different fields [2]. For example, advanced SMA-based devices have been designed to improve the aerodynamic performance of vehicles [3], to actuate light grippers and reusable non-explosive lock release mechanisms [4,5], and to generate constant force components [6], etc.…”

Section: Introductionmentioning

confidence: 99%

Resistance Characteristics of SMA Actuator Based on the Variable Speed Phase Transformation Constitutive Model

Zhang

et al. 2020

Materials

View full text Add to dashboard Cite

The shape memory alloy (SMA)-based actuators have been increasingly used in different domains, such as automotive, aerospace, robotic and biomedical applications, for their unique properties. However, the precision control of such SMA-based actuators is still a problem. Most traditional control methods use the force/displacement signals of the actuator as feedback signals, which may increase the volume and weight of the entire system due to the additional force/displacement sensors. The resistance of the SMA, as an inherent property of the actuator, is a dependent variable which varies in accordance with its macroscopic strain or stress. It can be obtained by the voltage and the current imposed on the SMA with no additional measuring devices. Therefore, using the resistance of the SMA as feedback in the closed-loop control is quite promising for lightweight SMA-driven systems. This paper investigates the resistance characteristics of the SMA actuator in its actuation process. Three factors, i.e., the resistivity, the length, and the cross-sectional area, which affect the change of resistance were analyzed. The mechanical and electrical parameters of SMA were obtained using experiments. Numerical simulations were performed by using the resistance characteristic model. The simulation results reveal the change rules of the resistance corresponding to the strain of SMA and demonstrate the possibility of using the resistance for feedback control of SMA.

show abstract

“…Shape memory alloy (SMA) as a smart material has been the subject of intensive research in various areas, including robotics, micromechanical systems, the aerospace and automotive industries, civil structural engineering, and biomedical sciences [1][2][3][4]. A wide range of industrial applications are also found in medical stents, unmanned aerial vehicles (UAVs), A/C vents, and so forth [1,5,6]. Compared to conventional electromagnetic motor actuators, SMAs offer noiseless operation, design flexibility, and resistance to functional degradation from dust or humidity with compact system configurations.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Shape Memory Alloy (SMA)-Bias Spring Actuation for Self-Shaping Architecture: Investigation of Parametric Sensitivity

2020

Materials

View full text Add to dashboard Cite

Parametric complexity of the thermomechanical shape memory alloy (SMA) model is one of the major barriers to advanced application of the SMA actuation in adaptive architecture. This article seeks to provide architectural practitioners with decision-making information about SMA actuator design parameters. Simulation-based global sensitivity analysis of an SMA-bias spring actuation model reveals that the SMA spring index (a spring’s outer diameter divided by its wire diameter) and stiffness of the bias spring are significant factors in both displacement and force exertion. Among all parameters, maximum output stroke and force largely depend on the temperature range at which the SMA spring operates. These findings also indicate a trade-off between the spring diameter and wire thickness, demonstrating that the output stroke and force tend to counter one another. Appropriate preloading and choice of an optimal spring index should be considered for desirable SMA motion.

show abstract

Overview and Future Advanced Engineering Applications for Morphing Surfaces by Shape Memory Alloy Materials

Cited by 60 publications

References 115 publications

Cu-Based Shape Memory Alloys: Modified Structures and Their Related Properties

Cu-Based Shape Memory Alloys: Modified Structures and Their Related Properties

Resistance Characteristics of SMA Actuator Based on the Variable Speed Phase Transformation Constitutive Model

Simulation of Shape Memory Alloy (SMA)-Bias Spring Actuation for Self-Shaping Architecture: Investigation of Parametric Sensitivity

Contact Info

Product

Resources

About