Title :
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
fDate :
3/1/2002 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
