In the present paper, a recently developed centrifugal compressor model is briefly summarized. It provides a refined geometrical schematization of the device, especially of the impeller, starting from a reduced set of linear and angular dimensions. A geometrical module reproduces the 3D geometry of the impeller and furnishes the data employed to solve the 1D flow equations inside the rotating and stationary ducts constituting the complete device. The 1D compressor model allows to predict the performance maps (pressure ratio and efficiency) with good accuracy, once the tuning of a number of parameters is realized to characterize various flow losses and heat exchange. To overcome the limitations related to the model tuning, unknown parameters are selected with reference to 5 different devices employing an optimization procedure (modeFRONTIER™). A unique set of tuning constants is identified by the optimizer, which is able to provide, in most of cases, a good agreement with the experimental maps of each compressor.
Validation of a 1D Compressor Model for Performance Prediction / DE BELLIS, Vincenzo; Bozza, Fabio; Bevilacqua, M.; Bonamassa, G.; Schernus, C.. - In: SAE INTERNATIONAL JOURNAL OF ENGINES. - ISSN 1946-3936. - 6:3(2013), pp. 1786-1800. [10.4271/2013-24-0120]
Validation of a 1D Compressor Model for Performance Prediction
DE BELLIS, VINCENZO;BOZZA, FABIO;
2013
Abstract
In the present paper, a recently developed centrifugal compressor model is briefly summarized. It provides a refined geometrical schematization of the device, especially of the impeller, starting from a reduced set of linear and angular dimensions. A geometrical module reproduces the 3D geometry of the impeller and furnishes the data employed to solve the 1D flow equations inside the rotating and stationary ducts constituting the complete device. The 1D compressor model allows to predict the performance maps (pressure ratio and efficiency) with good accuracy, once the tuning of a number of parameters is realized to characterize various flow losses and heat exchange. To overcome the limitations related to the model tuning, unknown parameters are selected with reference to 5 different devices employing an optimization procedure (modeFRONTIER™). A unique set of tuning constants is identified by the optimizer, which is able to provide, in most of cases, a good agreement with the experimental maps of each compressor.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.