Journal
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
Volume 451, Issue -, Pages 79-86Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jmmm.2017.11.002
Keywords
Active magnetic regenerator; Gadolinium; Liquefaction; Superconducting; Genetic algorithm
Funding
- Fuel Cell Technology Office of the Energy Efficiency and Renewable Energy Office of the Department of Energy
- Natural Sciences and Engineering Research Council of Canada
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Active magnetic regenerators (AMR) have the potential for high efficiency cryogen liquefaction. One active magnetic regenerative liquefier (AMRL) configuration consists of dual magnetocaloric regenerators that reciprocate in a persistent-mode superconducting solenoid. Issues with this configuration are the spatial and temporal magnetization gradients that induce large magnetic forces and winding currents. To solve the coupled problem, we present a force minimization approach using passive magnetic material to balance a dual-regenerator AMR. A magnetostatic model is developed and simulated force waveforms are compared with experimental measurements. A genetic algorithm identifies force-minimizing passive structures with virtually ideal balancing characteristics. Implementation details are investigated which affirm the potential of the proposed methodology. Published by Elsevier B.V.
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