magnetic refrigeration
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Scilight ◽  
2022 ◽  
Vol 2022 (1) ◽  
pp. 011108
Author(s):  
Ashley Piccone


2022 ◽  
Vol 131 (1) ◽  
pp. 013903
Author(s):  
Yasuyuki Shimura ◽  
Kanta Watanabe ◽  
Takanori Taniguchi ◽  
Kotaro Osato ◽  
Rikako Yamamoto ◽  
...  


2022 ◽  
pp. 102620
Author(s):  
Abd El-Moez A. Mohamed ◽  
Minki Jeong ◽  
Richard S. Sheridan ◽  
Moataz M. Attallah


Polyhedron ◽  
2022 ◽  
pp. 115675
Author(s):  
Na Qiao ◽  
Xiao-Xiao Li ◽  
Ying Chen ◽  
Xiao-Yan Xin ◽  
Chen Yang ◽  
...  


2021 ◽  
pp. 114617
Author(s):  
M. Arejdal ◽  
L. Bahmad ◽  
H. Ez-zahraouy


2021 ◽  
Vol 8 ◽  
Author(s):  
Zhuojia Xie ◽  
Zhengguang Zou ◽  
Bangrong He ◽  
Lilin Liu ◽  
Zheng Mao

Magnetic refrigeration technology is a new, green, high-efficiency approach. It has attracted increasing attention from researchers and has a strong competitiveness over traditional refrigeration methods. With the continuous development of social lives, magnetic refrigeration technology must have important application prospects. This article briefly describes the basic principles. The focus is on the introduction and summary of research on perovskite manganite doping in magnetic refrigeration. Finally, the outlook and summary of magnetic refrigeration technology are presented.



Author(s):  
Dorin Botoc ◽  
Alexandru Salceanu ◽  
Olga Plopa ◽  
Monica Siroux


2021 ◽  
Vol 10 (4) ◽  
pp. 68-76
Author(s):  
Younes Chiba ◽  
Yacine Marif ◽  
Noureddine Henini ◽  
Abdelhalim Tlemcani

The aim of this work is to use multi-layered perceptron artificial neural networks and multiple linear regressions models to predict the efficiency of the magnetic refrigeration cycle device operating near room temperature. For this purpose, the experimental data collection was used in order to predict coefficient of performance and temperature span for active magnetic refrigeration device. In addition, the operating parameters of active magnetic refrigerator cycle are used for solid magnetocaloric material under application 1.5 T magnetic fields. The obtained results including temperature span and coefficient of performance are presented and discussed.



2021 ◽  
pp. 117286
Author(s):  
Jiawei Lai ◽  
H. Sepehri-Amin ◽  
Xin Tang ◽  
J. Li ◽  
Y. Matsushita ◽  
...  


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