Robust design for torque optimization using response surface methodology

Author

Gao, X.K. ; Low, T.S. ; Liu, Z.J. ; Chen, S.X.

Author_Institution

Data Storage Inst., Singapore, Singapore

Volume

38

Issue

2

fYear

2002

fDate

3/1/2002 12:00:00 AM

Firstpage

1141

Lastpage

1144

Abstract

This paper discusses response surface methodology (RSM) as an efficient approach to parametric model building and design optimization. Application of RSM is presented for torque optimization in spindle motor design. A window-zoom-in method is studied to improve the optimization procedure. Finite-element analysis and RSM using mixed resolution central composite design are utilized to determine the optimum torque performance. Analysis of variance summaries and response surface plots help to locate the parameter settings to produce parts with the desired quality

Keywords

brushless DC motors; finite element analysis; mathematical programming; permanent magnet motors; sensitivity analysis; surface fitting; torque; HDD; brushless DC spindle motors; cogging torque; design optimization; finite-element analysis; mathematical programming; mixed resolution central composite design; optimum torque performance; parameter settings; parametric model building; regression model; response surface methodology; robust design; sensitivity analysis; spindle motor design; torque optimization; variance summaries analysis; window-zoom-in method; Analysis of variance; Buildings; Design optimization; Finite element methods; Optimization methods; Parametric statistics; Performance analysis; Response surface methodology; Robustness; Torque;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.996292

Filename

996292