Yang Pan , Chaofan Liu , Xinqi Zheng , Guyue Wang , Yawei Gao , Dingsong Wang , Jiawang Xu , Lei Xi , Hao Liu , Shanshan Zhen , Zixiao Zhang , Guangrui Zhang , Anxu Ma , Zhe Chen , He Huang , Yanfei Wu , Jingyan Zhang , Shouguo Wang , Baogen Shen
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引用次数: 0
Abstract
Bulk and ribbon Er2Tm2Al4CuNiGa high-entropy-alloy (HEA) were successfully synthesized by arc-melting method and amorphous engineering, respectively. X-ray diffraction experiment (XRD), differential scanning calorimetry (DSC) traces and high resolution transmission electron microscope (HRTEM) indicate that bulk sample crystalizes in form of polycrystalline while ribbon sample is amorphous. By amorphous engineering, the magnetic transition temperature was reduced below liquid helium temperature and low-field magnetocaloric effect (MCE) was greatly enhanced. The magnetic ordering temperatures were determined as 4.5 K and ∼3.0 K for bulk and ribbon samples, respectively. The maximum value of magnetic entropy change increases from 2.7/6.7 J/kgK for bulk sample to 4.3/9.0 J/kgK for typical ribbon sample R52 under field changes of 0–1/0–2 T. Furthermore, ribbon samples show the characteristic of second order magnetic transition based on Arrott plots, indicating of good magnetic and thermal reversibility. The large low-field MCE of ribbon Er2Tm2Al4CuNiGa HEA at liquid helium temperature indicates that amorphous engineering is an effective method to improve the performance of magnetic cooling materials.
期刊介绍:
This journal is a platform for publishing innovative research and overviews for advancing our understanding of the structure, property, and functionality of complex metallic alloys, including intermetallics, metallic glasses, and high entropy alloys.
The journal reports the science and engineering of metallic materials in the following aspects:
Theories and experiments which address the relationship between property and structure in all length scales.
Physical modeling and numerical simulations which provide a comprehensive understanding of experimental observations.
Stimulated methodologies to characterize the structure and chemistry of materials that correlate the properties.
Technological applications resulting from the understanding of property-structure relationship in materials.
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