Toward Advancing Elastocaloric Performance in Shape Memory Alloys Through Additive Manufacturing: Novel Conceptual Designs and Preliminary Insights

作者
Saeedeh Vanaei,Shiva Mohajerani,Pete Angelo Rocco,Mahyar Sojoodi,Mohammad Pourshams,Mohammad Elahinia
出处
期刊:Shape memory and superelasticity [Springer Science+Business Media]
卷期号:11 (2): 115-151 被引量:6
标识
DOI:10.1007/s40830-025-00545-w
摘要

Abstract Over the past few decades, the elastocaloric effect (eCE) has emerged as the most promising alternative to vapor compression-based cooling and refrigeration devices. An overview of different forms of eC devices, based on the design of the material and the system, is captured with reported data on the cooling/heating power and efficiency. Besides experimental studies, numerical research and developed models for eCE are presented. The elastocaloric performance of NiTi Shape memory alloy has been considerably improved as a result of the unprecedented control over their microstructural, compositional, and geometrical characteristics that have been made possible by recent advancements in additive manufacturing (AM). This paper provides a thorough summary of the role of AM in the customization of NiTi-based SMAs for elastocaloric applications, with a particular emphasis on critical mechanisms such as microstructural refinement, phase stabilization, and architected design. Despite these advances, minimizing defects, managing compositional shifts, and assuring long-term cyclic stability need to be further investigated. This review emphasizes the transformative potential of AM in the development of next-generation elastocaloric materials and delineates future research directions for high-performance, scalable SMA-based cooling systems. To this end, an innovative concept of functionally graded eC material realized through additive manufacturing is introduced. These functionally graded structures pave the way to harnessing higher eC efficiency. The resulting eC materials can be 3D printed with optimal functionality and shapes. The optimized shapes, with a gradient of transformation temperatures, are expected, as described, to significantly improve the performance of the resulting systems.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
palette完成签到,获得积分10
1秒前
orixero的应助被狂暴的蜗牛0713采纳,获得10
1秒前
Owen的应助被xucc采纳,获得10
1秒前
晚风完成签到,获得积分10
1秒前
hashtag完成签到,获得积分10
1秒前
Yh完成签到,获得积分10
2秒前
ZZZX发布了新的文献求助10
2秒前
西柚完成签到,获得积分10
3秒前
LIN_YX完成签到,获得积分10
3秒前
LIN_YX完成签到,获得积分10
3秒前
腼腆的沛蓝完成签到,获得积分10
3秒前
隐形曼青的应助被杨治鹏采纳,获得10
3秒前
zhuxl完成签到,获得积分10
4秒前
雁阵完成签到,获得积分10
4秒前
无心的夏烟完成签到,获得积分10
4秒前
粥游天下完成签到,获得积分10
4秒前
金也完成签到,获得积分10
4秒前
从容的雪碧完成签到,获得积分10
4秒前
Sherlyn完成签到 ,获得积分10
5秒前
风趣从霜完成签到,获得积分10
5秒前
侧耳倾听完成签到 ,获得积分10
6秒前
踏实的流沙完成签到 ,获得积分10
6秒前
天道完成签到 ,获得积分10
6秒前
kook完成签到 ,获得积分10
7秒前
孙禹完成签到,获得积分10
7秒前
7秒前
小周完成签到,获得积分20
7秒前
yi5feng完成签到,获得积分10
7秒前
AAA完成签到,获得积分10
7秒前
炙热之霜完成签到,获得积分10
7秒前
柿柿如意完成签到,获得积分10
7秒前
HJJHJH的应助被橙C美式采纳,获得30
8秒前
坚强涵山完成签到,获得积分10
8秒前
Nina完成签到,获得积分10
8秒前
家里有可爱多完成签到 ,获得积分10
8秒前
火星上送终完成签到,获得积分10
8秒前
饱满的凡儿完成签到,获得积分10
8秒前
火星上黎云完成签到,获得积分10
9秒前
pipiheng完成签到,获得积分10
9秒前
害怕的青荷完成签到,获得积分10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Entre Praga y Madrid : los contactos checoslovaco-españoles (1948-1977) 600
A REVIEW OF THE V-22 DYNAMICS VALIDATION PROGRAM 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8130151
求助须知:如何正确求助?哪些是违规求助? 9532406
关于积分的说明 21595265
捐赠科研通 7711889
什么是DOI,文献DOI怎么找? 3418072
关于科研通互助平台的介绍 2543760
邀请新用户注册赠送积分活动 2459295