.png){kind=icon}
返回
Semi-analytic AMR element model
.png){kind=icon}
PRE
AI
DOI：10.1016/j.applthermaleng.2017.09.082.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The active magnetic regenerator (AMR) cycle has the potential to reduce energy consumption and mitigate environmental pollutants. While layering regenerators with spatially varying Curie (or transition) temperatures has been shown to significantly increase AMR performance, layering strategies have yet to be developed. A central issue is the need for a modeling tool capable of efficiently screening the problems parameter space. A semi-analytic AMR element model is developed and validated with experiments over a broad range of operating conditions and regenerator compositions using second-order magnetocaloric materials. An optimization is performed and a temperature span of 40 K is measured in close proximity to the simulated optimum. (C) 2017 Elsevier Ltd. All rights reserved.
Keyword:
Active magnetic regenerator
Magnetic refrigeration
Magnetocaloric effect
Layered regenerator
Optimization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.9
论文数:
2.8W
被引数:
10.6W
机构
引用论文
.png){kind=icon}
Evaluation of fundamental performance on magnetocaloric cooling with active magnetic regenerator
PREAI
分享收藏
查看更多内容