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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]

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

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.