Semi-analytic AMR element model

•A framework is presented for analyzing multilayered active magnetic regenerators.•The semi-analytic AMR element model is validated with multilayer performance data.•A temperature span of 40K is measured near a simulated optimum. The active magnetic regenerator (AMR) cycle has the potential to reduc...

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Bibliographic Details
Published in:Applied thermal engineering 2018-01, Vol.128, p.1022-1029
Main Authors: Teyber, R., Trevizoli, P.V., Christiaanse, T.V., Govindappa, P., Niknia, I., Rowe, A.
Format: Article
Language:English
Subjects:
Active magnetic regenerator
Computer simulation
Energy consumption
Layered regenerator
Layering
Magnetic fields
Magnetic materials
Magnetic refrigeration
Magnetocaloric effect
Optimization
Optimization techniques
Pollutants
Regenerators
Studies
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Summary:•A framework is presented for analyzing multilayered active magnetic regenerators.•The semi-analytic AMR element model is validated with multilayer performance data.•A temperature span of 40K is measured near a simulated optimum. 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 40K is measured in close proximity to the simulated optimum.
ISSN:1359-4311
1873-5606
DOI:10.1016/j.applthermaleng.2017.09.082