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Rotor optimization in a superconducting magnetic bearing by using frozen image model and Amperian current approximation

  • Ahmet Cansiz*
  • , İrfan Yildizer
  • , Daniel Tunç McGuiness
  • *Bu çalışma için yazışmadan sorumlu yazar
  • Ataturk University
  • Istanbul Technical University
  • University of Liverpool

Araştırma sonucu: Dergiye katkıMakalebilirkişi

11 Atıf (Scopus)

Özet

Developments in superconducting magnetic bearings led the key technological progresses for flywheel energy storage systems. However, the present status of the superconducting magnetic bearings still deprived from the sufficient stability. Since the magnetization characteristics of the superconducting materials reaches the limits the necessity of more efficient designs for bearing systems is inevitable. For instance, strongly stable bearing designs would be possible by using various magnetic and superconducting components in the bearing. In this context, we have investigated the effect of particular levitation configuration on the stability of the rotor in the bearing mechanism. Vertical and lateral forces acting on the rotor are determined in terms of the various shape and dimensions of the superconductors and permanent magnets. In this context, the Amperian current approximation was used to model the interaction force between the permanent magnets. In the case of determining the interaction force between the permanent magnet and high temperature superconductor, the frozen image model was used to implement the Amperian current approximation according to the cooling procedure of the superconductor. It was determined that the optimum levitation of the rotor strongly depends on the use of superconductor and permanent magnet configurations.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)60-66
Sayfa sayısı7
DergiCryogenics
Hacim98
DOI'lar
Yayın durumuYayınlandı - Mar 2019

Bibliyografik not

Publisher Copyright:
© 2019 Elsevier Ltd

Finansman

This work is partially supported by Istanbul Technical University BAP project 40531 .

FinansörlerFinansör numarası
Istanbul Teknik Üniversitesi40531

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