Coil optimization for electromagnetic levitation using a genetic like algorithm
Coil optimization for electromagnetic levitation using a genetic like algorithm
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DOI：
10.1063/1.4807788
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发表时间：
2013-06
影响因子：
3.2
通讯作者：
Zachary L. Royer;Carl Tackes;R. LeSar;R. Napolitano
中科院分区：
文献类型：
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作者：
Zachary L. Royer;Carl Tackes;R. LeSar;R. Napolitano
电磁悬浮（EML）技术提供了一种以无容器方式对导电样品进行热处理的方法。对于金属液体和相关的熔化或凝固转变的研究，消除衬底诱导的成核提供了比其他方式获得的高得多的过冷度。由于加热和悬浮都是由线圈感应的电流引起的，任何EML系统的性能都取决于控制升力和加热效果之间的平衡，这受到悬浮线圈几何形状的影响。在这项工作中，遗传算法的开发和利用优化设计的电磁悬浮线圈。优化的目标是专门降低稳定悬浮的金属试样的稳态温度。通过线圈优化，相对于初始设计获得的温度降低了70 K，并将结果与实验结果进行了比较。
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 70 K relative to that obtained with the initial design are achieved through coil optimization, and the results are compared with expe...