Numerical analysis of fundamental characteristics of superconducting magnetic bearings for a polarization modulator

Yusuke Terachi, Yutaka Terao, Hiroyuki Ohsaki, Yuki Sakurai, Tomotake Matsumura, Hajime Sugai, Shin Utsunomiya, Hirokazu Kataza, Ryo Yamamoto

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


We have carried out numerical analysis of mechanical properties of a superconducting magnetic bearing (SMB). A contactless bearing operating at below 10 K with low rotational energy loss is an attractive feature to be used as a rotational mechanism of a polarization modulator for a cosmic microwave background experiment. In such application, a rotor diameter of about 400 mm forces us to employ a segmented magnet. As a result, there is inevitable spatial gap between the segments. In order to understand the path towards the design optimizations, 2D and 3D FEM analyses were carried out to examine fundamental characteristics of the SMBs for a polarization modulator. Two axial flux type SMBs were dealt with in the analysis: (a) the SMB with axially magnetized permanent magnets (PMs), and (b) the SMB with radially magnetized PMs and steel components for magnetic flux paths. Magnetic flux lines and density distributions, electromagnetic force characteristics, spring constants, etc. were compared among some variations of the SMBs. From the numerical analysis results, it is discussed what type, configuration and design of SMBs are more suitable for a polarization modulator.

Original languageEnglish
Article number012094
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - Jul 26 2017
Externally publishedYes
Event29th International Symposium on Superconductivity, ISS 2016 - Tokyo, Japan
Duration: Dec 13 2016Dec 15 2016

ASJC Scopus subject areas

  • General Physics and Astronomy


Dive into the research topics of 'Numerical analysis of fundamental characteristics of superconducting magnetic bearings for a polarization modulator'. Together they form a unique fingerprint.

Cite this