S
S.X. Chen
Researcher at Data Storage Institute
Publications - 45
Citations - 694
S.X. Chen is an academic researcher from Data Storage Institute. The author has contributed to research in topics: Torque & Magnetic field. The author has an hindex of 16, co-authored 45 publications receiving 675 citations. Previous affiliations of S.X. Chen include National University of Singapore.
Papers
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Journal ArticleDOI
Application of Taguchi method to robust design of BLDC motor performance
TL;DR: An approach to the design of brushless dc motors considering cogging torque reduction and running torque optimization to enhance the product robustness and the concept of signal-to-noise (S/N) ratio is applied to evaluate the motor performance.
Patent
Electric spindle motor
TL;DR: In this article, an electric spindle motor has a base assembly (19) and a hollow notatable hub (16) housing a motor, which is mounted for rotation about an axis and a stator (12) is mounted on the base assembly inside the hub.
Journal ArticleDOI
Robust design for torque optimization using response surface methodology
TL;DR: RSM is presented for torque optimization in spindle motor design using mixed resolution central composite design and a window-zoom-in method is studied to improve the optimization procedure.
Journal ArticleDOI
The robust design approach for reducing cogging torque in permanent magnet motors [for CD-ROM spindles]
S.X. Chen,Teck-Seng Low,B. Bruhl +2 more
TL;DR: The results show that the robust design method is a very efficient and effective approach in designing disk drive spindle motors for high performance.
Proceedings ArticleDOI
The Robust Design Approach For Reducing Cogging Torque In Permanent Magnet Motors
S.X. Chen,T.S. Low,J.P. Yang +2 more
TL;DR: The results show that the robust design method is a very efficient and effective approach in designing disk drive spindle motors for high performance.