2005
DOI: 10.1088/0953-2048/18/7/011
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Translational and rotational dynamic analysis of a superconducting levitation system

Abstract: The rotational dynamics of a disc-shaped permanent magnet rotor levitated over a high temperature superconductor was studied experimentally and theoretically. The interaction between the rotor magnet and the superconductor was modelled by assuming the magnet to be a magnetic dipole and the superconductor a diamagnet. In the magnetomechanical analysis of the superconductor part, the frozen image concept was combined with the diamagnetic image, and the damping in the system was neglected. The interaction potenti… Show more

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Cited by 56 publications
(33 citation statements)
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“…The derivatives of the elliptical integrals can be found in Smythe [20] and calculated by the formulations in (13) and (14).…”
Section: Gyrator Modelingmentioning
confidence: 99%
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“…The derivatives of the elliptical integrals can be found in Smythe [20] and calculated by the formulations in (13) and (14).…”
Section: Gyrator Modelingmentioning
confidence: 99%
“…Mirror image and advanced mirror image models have been developed by Kordyuk [12] and by Hull and Cansiz [13], [14]. This methodology modeled the permanent magnet as a dipole with a stationary image on the other side of the bulk HTSC surface, and a diamagnetic image that mirrored the position of the permanent magnet.…”
mentioning
confidence: 99%
“…The total field thus generated for a semi-infinite plane is equivalent to that generated by the method of images (Cansiz & Hull, 2005;Hellman et al 1988;Hull & Cansiz, 1999;Moon, 1994). As the expression (11) has been derived using only local arguments, it may be used for any shape of superconductor.…”
Section: Magneto-mechanics Of a Superconductor In Meissner Statementioning
confidence: 99%
“…On the other hand some other works [15][16][17] take a different approach. They use the also well-known expression for the potential energy of two real magnetic dipoles m 1 and m 2 at a distance r…”
Section: Potential Energy or Reinforced Modelmentioning
confidence: 99%