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Coil optimization for electromagnetic levitation using a genetic like algorithm

TitleCoil optimization for electromagnetic levitation using a genetic like algorithm
Publication TypeJournal Article
Year of Publication2013
AuthorsRoyer, ZL, Tackes, C, LeSar, R, Napolitano, RE
JournalJournal of Applied Physics
Date Published06
Type of ArticleArticle
ISBN Number0021-8979
Accession NumberWOS:000320674500093
Keywordsalloys, au, calorimetry, density, design, fe, metals, network, solidification, temperature

The technique of electromagnetic levitation (EML) provides a means for thermally processing an electrically conductive specimen in a containerless manner. For the investigation of metallic liquids and related melting or freezing transformations, the elimination of substrate-induced nucleation affords access to much higher undercooling than otherwise attainable. With heating and levitation both arising from the currents induced by the coil, the performance of any EML system depends on controlling the balance between lifting forces and heating effects, as influenced by the levitation coil geometry. In this work, a genetic algorithm is developed and utilized to optimize the design of electromagnetic levitation coils. The optimization is targeted specifically to reduce the steady-state temperature of the stably levitated metallic specimen. Reductions in temperature of nominally 70K relative to that obtained with the initial design are achieved through coil optimization, and the results are compared with experiments for aluminum. Additionally, the optimization method is shown to be robust, generating a small range of converged results from a variety of initial starting conditions. While our optimization criterion was set to achieve the lowest possible sample temperature, the method is general and can be used to optimize for other criteria as well. (C) 2013 AIP Publishing LLC.

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Structures and Dynamics