Abstract
The design of a centrifugal compressor with high efficiency and a wide operating range is a challenging task. A great effort has been undertaken to solve the three-dimensional design problem with the assistance of a metamodel. However, the published works lack any study that systematically performs the data mining between the performance and three-dimensional geometry variation due to two unsolved issues, i.e., lack of reliable systematic data mining model and unresolved high-dimensional data problem in the centrifugal compressor community. To tackle these issues, a systematic metamodel-driven data mining model including six general modules has been proposed and implemented to the well-known Radiver stage. In this data mining task, four specific techniques were used to go through the general to specific data mining. The results showed the performance improvement probabilities, the trade-off relationships between performance parameters, the characteristic variation of the performance, and the correlations between performance and the most sensitive two geometry parameter variation. The appropriate variation ranges for wide operating range design of the two sensitive geometry parameters were recommended and the flow mechanism behind them was clarified. The statistical results showed that over 90% of the design stages in the recommended variation ranges had a wide operating range. A design case was chosen randomly in the recommended range to verify the performance improvement via CFD simulations. The outcomes of this work are particularly relevant for the advanced design of compressors with high efficiency and a wide operating range for flexibility.
Variable Frequency Multiplier Technique for High-Efficiency Conversion Over a Wide Operating Range
