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Advancements in shape-memory alloys: Properties, applications, challenges, and future prospects
- 1 Shanghai Pinghe School, Shanghai, China
* Author to whom correspondence should be addressed.
Abstract
Shape-memory alloys (SMAs) are advanced engineering materials that have gained significant attention in recent years due to their unique properties and potential applications. SMAs have the remarkable ability to recover their original shape after deformation, making them invaluable in various fields, from biomedical devices to aerospace engineering. Despite their many advantages, SMAs also face several challenges, including the need for improved processing techniques and the development of more efficient actuation systems. To address these challenges, researchers have adopted various approaches, including using advanced fabrication methods and developing novel actuation systems. Recent research has yielded several notable achievements in the field of SMAs. For example, researchers have developed new processing techniques that allow the production of SMAs with improved properties, such as higher strength and better fatigue resistance. Additionally, researchers have developed new actuation systems that allow for more precise and efficient control of SMA behavior. Looking ahead, the future of SMAs looks promising. With continued research and development, SMAs have the potential to revolutionize various fields, from aerospace engineering to biomedical devices. However, further work is needed to overcome the remaining challenges and fully realize the potential of these remarkable materials. This article provides a comprehensive overview of SMAs, including their properties, fabrication methods, and various applications. It also discusses the challenges facing the field, the approaches to address them, and recent achievements.
Keywords
Shape-memory alloys, advanced engineering materials
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Cite this article
Gao,R. (2024). Advancements in shape-memory alloys: Properties, applications, challenges, and future prospects. Applied and Computational Engineering,91,63-72.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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