Evaluation of shape memory effect and damping characteristics of Cu–Al–Be–Mn shape memory alloys

Shivasiddaramaiah, A.G.; Mallik, U.S.; Shivaramu, L.; Prashantha, S.

doi:10.1016/j.pisc.2016.04.041

Cited by 17 publications

(12 citation statements)

References 5 publications

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“…As the interphases are mobile, their movement and friction between the interphases dissipate a large amount of energy, thus damping out the impact load. On heating, the material returns to the austenitic phase. , In the case of superelastic SMAs, the material transforms to stress-induced martensite on application of stress and returns to austenite on load removal, thus damping the impact load. , Figures and b show the energy hysteresis during loading and unloading that represent the energy dissipated as heat during the reverse transformation.…”

Section: Applications Of Shape Memory Hybrid Compositesmentioning

confidence: 99%

Shape Memory Hybrid Composites

et al. 2022

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Smart structures can help to resolve many issues related to conventional materials that are being used in different industries. Shape memory alloys (SMAs) are smart materials with better actuation response, vibration damping characteristics, and large strain recovery, making them good candidates due to their high strength and corrosion resistance for various engineering applications. The performance of fiber-reinforced polymer (FRP) composite materials that are replacing many conventional materials due to their good strength, stiffness, and lightweight potential especially in fuel-consuming industries such as aerospace and automotive, can further be improved by impregnation with SMAs. This review discusses the SMA-reinforced FRP composites, leading to shape memory hybrid composite materials, the issues and limitations in composite manufacturing, and their uses in different research arenas including impact and damping applications, seismic protection applications, crack closure applications, shape morphing applications, and self-deployable structures.

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Section: Applications Of Shape Memory Hybrid Compositesmentioning

confidence: 99%

Shape Memory Hybrid Composites

et al. 2022

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“…) m b (14) where m b is the mass of the beam (kg) and m is the mass added (kg) that generates weight or force, F = mg. Hence it is seen that the geometrical dimensions of the resonating element and the actuating element contribute to the natural frequency of the sensing arrangement and the range of measurement depends on the excitation parameters and their dimensions.…”

Section: Mechanical Sensing Systemmentioning

confidence: 99%

“…Their unique thermomechanical property make them suitable for different domains like aerospace [9], biomedical [10], civil engineering [11] and earthquake engineering [12]. Owing to these distinctive properties, the alloys can be used to perform variety of tasks like damping (active and passive control of structures) [13,14], actuation [15,16], sensing [17,18], sensing and actuation in the firming up of reinforced concrete constructions [19] etc. Various compositions of SMAs like NiTi, CuZnAl, CuAlNi, NiMnGa, NiCoCu, TiHfZr have been emerged to be used for several fields [20,21].…”

Section: Introductionmentioning

confidence: 99%

Duo features of shape memory wire for resonant force sensing

G¹,

Kaliaperumal²,

M³

et al. 2022

Smart Mater. Struct.

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The design and demonstration of a new version of the force measurement system based on the resonance principle by involving shape memory alloy (SMA) is presented. The sensor design enables an electromechanically functional resonator comprising the cantilever beam as the vibratory structural element and the Joule heated SMA as an actuating element. The actuation frequency of the SMA wire is improved up to 5.5 Hz by the optimized activation parameters and an appropriate biasing element. The choice of design attributes of the sensing module is made based on the analysis of the associated technical parameters with different dimensions of the constituents of the sensing assembly. The sensing module that adopts the least stiff configuration by the series arrangement of the active SMA and passive elastic cantilever element is modeled mathematically. The dual/twin phenomena of the SMA wire featured by both, actuation that creates resonance in the structure and self-sensing that senses the resonance state, is deployed. The sensor possesses static sensing capabilities and detects force in the range of 0.785 N to 2.45 N and this scheme of force measurement could be a stand-alone unit, besides is adaptable as an application-specific sensor in the analysis of large flexible structures.

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“…Shape memory alloys have been attracted towards design of vibration control devices due to their high damping properties along with their other properties viz. shape memory effect and peudoeleasticity [14,15]. High damping capacity is caused by martensite variant interface and parent martensite habit plane movement, which causes high internal friction during martensite transformation [16,17].…”

Section: Introductionmentioning

confidence: 99%

Characterization and Evaluation of Shape Memory Effect of Cu-Zn-Al Shape Memory Alloy

Lokesh

Mallik

Shivasiddaramaiaha

et al. 2022

jmmf

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For shape memory applications, Cu-based shape memory alloys have been presented as the “heir apparent” and more cost-effective alternative for NiTi alloys, which have traditionally been used. The variables that have been cited as causes for this forecast includes low material costs, simplicity of fabrication, and good shape memory effect. The essential feature of martensitic phase transitions is the athermal movement of atoms, with no input from diffusion. However, diffusive events may have large effects on relative phase stability, and therefore on transformation temperatures and functional characteristics. Cu-based shape- memory alloys exhibit these behaviours particularly well, with atomic diffusion occurring at room temperature in both the austenite and martensite metastable phases. Nevertheless, it seems that peer- reviewed literature on the same subject is insufficient for accurately quantifying the influence of Zn on Shape Memory Effect (SME) of Cu-Zn-Al Shape Memory Alloy(SMA). Hence in the current study synthesis of Cu-Zn- Al shape memory alloy through liquid metallurgical method using induction furnace and examining the microstructure and phase transformation which is related to SME. The study reveals that for the selected composition the shape memory effect varies from 42- 92% and with increase in Zn wt.% SME found to increase due to conversion of more austenite to martensite.

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Evaluation of shape memory effect and damping characteristics of Cu–Al–Be–Mn shape memory alloys

Cited by 17 publications

References 5 publications

Shape Memory Hybrid Composites

Shape Memory Hybrid Composites

Duo features of shape memory wire for resonant force sensing

Characterization and Evaluation of Shape Memory Effect of Cu-Zn-Al Shape Memory Alloy

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