Abstract
This paper presents the use of fuzzy-based Taguchi method to optimize the design of the ultrathin centrifugal fan with multiple performance characteristics. An orthogonal array, the S/N ratio, MPCI, ANOVA, and CFD were used to study the multiple-objectives in the ultrathin centrifugal fan design. The design parameters, outlet dimensions, inlet dimensions, blade angle, and impeller diameter were optimized with considerations of the performance characteristics, including volume flow rate, static pressure, and noise. The results demonstrate that operation section of the new fan P-Q curve design was larger than that of the original design. This study also identified the optimized design parameters that affect the cooling performance of the centrifugal fan.
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