A review on shape memory alloys and their prominence in automotive technology

Shreekrishna, Suhas; Radhika, N.; Nair, Viswajith S

doi:10.1177/1045389x221111547

Cited by 17 publications

(6 citation statements)

References 192 publications

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“…Shape memory alloys can be integrated into consumer electronics, such as smartphones, to enable adaptable form factors or user interfaces [163]. Shape change materials can be employed in automotive applications, such as self-healing or adaptive panels [164,165]. That is, shape change manipulation using laser processing is a versatile technique for creating smart materials with shape memory properties.…”

Section: Shape Change Manipulation Using Laser Processingmentioning

confidence: 99%

Fabrication of Smart Materials Using Laser Processing: Analysis and Prospects

Murzin,

Stiglbrunner

2023

Applied Sciences

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Laser processing is a versatile tool that enhances smart materials for diverse industries, allowing precise changes in material properties and customization of surface characteristics. It drives the development of smart materials with adaptive properties through laser modification, utilizing photothermal reactions and functional additives for meticulous control. These laser-processed smart materials form the foundation of 4D printing that enables dynamic shape changes depending on external influences, with significant potential in the aerospace, robotics, health care, electronics, and automotive sectors, thus fostering innovation. Laser processing also advances photonics and optoelectronics, facilitating precise control over optical properties and promoting responsive device development for various applications. The application of computer-generated diffractive optical elements (DOEs) enhances laser precision, allowing for predetermined temperature distribution and showcasing substantial promise in enhancing smart material properties. This comprehensive overview explores the applications of laser technology and nanotechnology involving DOEs, underscoring their transformative potential in the realms of photonics and optoelectronics. The growing potential for further research and practical applications in this field suggests promising prospects in the near future.

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Section: Shape Change Manipulation Using Laser Processingmentioning

confidence: 99%

Fabrication of Smart Materials Using Laser Processing: Analysis and Prospects

Murzin,

Stiglbrunner

2023

Applied Sciences

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“…These materials have a significant potential for applications in different areas such as automotive, biomedical, civil engineering, oil and gas, robotics, and aerospace fields [4][5][6][7][8][9][10][11][12][13][14]. In addition, due to their capacity to dissipate energy and to recover large deformations during the phase transformation process, the pseudoelastic behavior has a great potential for applications in vibration attenuation that can be used in different mechanical equipment that show large frequency ranges, devices exposed to impact loads, and earthquake structures [2,[15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Thermomechanical description of shape memory alloys using the preisach model

Alvares,

Dornelas,

Oliveira

et al. 2024

Smart Mater. Struct.

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Shape memory alloys (SMAs) are adaptive materials that exhibit complex thermomechanical behaviors due to multiphysics coupling. The thermomechanical modeling of SMAs is a complex task due to several phenomena involved, and the Preisach model is an interesting alternative to describe the SMA hysteretic behavior based on experimental data. This paper deals with the description of the thermomechanical behavior of SMA using the Preisach model. Experimental tests are performed considering NiTi pseudoelastic wires subjected to different load conditions, establishing reference cases. Afterward, the Preisach model is employed to describe the SMA behavior. Numerical simulations are carried out and compared with the experimental data showing a good agreement. Other experimental data available in the literature are employed to investigate different macroscopic behaviors related to SMAs, including strain-temperature relations of wires and force-displacement relations of springs. Results show that the model is able to describe the thermomechanical behavior of SMAs, being in close agreement with experimental data. Preisach model has advantages such as a simple numerical implementation when compared to phenomenological and thermodynamic-based models, being an interesting approach useful for a wide range of applications that include different macroscopic behaviors.

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“…The NiTi alloy, which exhibits both SME (thermal memory) and superelasticity (mechanical memory), is the leading smart alloy employed in the fabrication of prosthetic knee joints, catheters, and other medical equipment [32]. NiTi SMA is malleable and can undergo deformation with ease when in its martensite state.…”

Section: Introductionmentioning

confidence: 99%

Processing of shape memory alloys research, applications and opportunities: a review

Mehta,

Singh,

Vasudev

2024

Phys. Scr.

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Shape Memory Alloys (SMAs) are metallic materials with unique thermomechanical characteristics that can regain their original shape after deformation. SMAs can be used in various industries such as consumer electronics, automobile parts, aircraft components, and biomedical devices. In this paper, we review the current state of the art of SMA fabrication and their application in the aerospace, healthcare, and aerospace industries. Specifically, we focus on the influence of manganese (Mn) addition on Cu-Al-Ni shape memory alloys' structure, mechanical characteristics, and corrosion behavior, focusing on the incorporation of small and medium-sized enterprises (SMEs) in the analysis of cu-aluminum alloys. This study explores the integration of SME and superelasticity, critical phenomena in SMA behavior, and can be utilized to develop and evaluate SMA-based devices and structures, as well as to understand the mechanism behind SMA actuation and develop improved materials. FEM simulations are crucial for optimizing designs and enhancing performance in sectors like aerospace and healthcare. FEM simulations can also be used to predict the stress and strain of SMA-based devices and structures. This can help to reduce cost, improve efficiency, and reduce the risk of failure. Additionally, FEM simulations can help to identify potential weaknesses in SMA-based designs and suggest modifications or improvements.

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A review on shape memory alloys and their prominence in automotive technology

Cited by 17 publications

References 192 publications

Fabrication of Smart Materials Using Laser Processing: Analysis and Prospects

Fabrication of Smart Materials Using Laser Processing: Analysis and Prospects

Thermomechanical description of shape memory alloys using the preisach model

Processing of shape memory alloys research, applications and opportunities: a review

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