Engineering Applications of Computational Fluid Mechanics · 2011 · 13 citations · 24 references
EngineeringMechanical EngineeringDesign OptimizationMechanical DesignPerformance-based DesignFan PerformanceTaguchi MethodsBlade NumberBlade OptimizationFan AerodynamicsMass Flow RateMass Flow Rate PerformanceMulti-response OptimizationQuality Loss FunctionResponse Optimization
In this research, the multi-response optimization of mass flow rate and A-weighted SPL using Taguchi quality loss function has been done for bionic fan performance. The factors of the geometric parameters selected in this investigation are blade number, boss ratio, and blade stagger angle. The contribution of each parameter factor to the performance of bionic fan has been determined. The blade stagger angle has been found as the most effective factor and its contribution is 52.58% on multiple quality characteristics. The verification test has also been performed based on the optimum conditions predicted. The values of the mass flow rate and the A-weighted SPL at the optimum levels of the fan parameters are 0.4518 kg/s and 61.47 dB(A), respectively against the initial fan of 0.3438 kg/s and 70.50 dB(A). The mass flow rate and the A-weighted SPL have been increased by 0.1080 kg/s and decreased by 9.03 dB(A), respectively. The optimization results demonstrate considerable improvement in both mass flow rate and A-weighted SPL with the multiple response optimization combination, as compared with those of the initial fan.
24
Quality Engineering Using Robust Design
Tom Menten, M. S. Phadke · Technometrics · 1991 · 3.5K citations
Taguchi Techniques for Quality Engineering
Thomas R. Bement · Technometrics · 1989 · 2.7K citations