Recent studies showed that a prompt detection of the stall inception, connected with a specific model to predict its associated aerodynamic force, could provide room for an extension of the left margin of the operating curve of high-pressure centrifugal compressors. In industrial machines working in the field, however, robust procedures to detect and identify the phenomenon are still missing, i.e., the operating curve is almost ever cut preliminarily by the manufacturer by a proper safety margin; moreover, no agreement is found in the literature about a well-defined threshold to define the onset of the stall. In particular, in some cases, the intensity of the arising subsynchronous frequency is compared to the revolution frequency, while in many other ones it is compared to the blade passage frequency. A large experience in experimental stall analyses collected by the authors revealed that in some cases unexpected spikes could make this direct comparison not reliable for a robust automatic detection. To this end, a new criterion was developed based on an integral analysis of the area subtended to the entire subsynchronous spectrum of the dynamic pressure signal of probes positioned just outside the impeller exit. A dimensionless parameter was then defined to account for the spectrum area increase in proximity to stall inception. This new parameter enabled the definition of a reference threshold to highlight the arising of stall conditions, whose validity and increased robustness was here verified based on a set of experimental analyses of different types of full-stage test cases of industrial centrifugal compressors at the test rig.
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February 2019
Research-Article
Development of a Criterion for a Robust Identification of Diffuser Rotating Stall Onset in Industrial Centrifugal Compressors
Alessandro Bianchini,
Alessandro Bianchini
Department of Industrial Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: alessandro.bianchini@unifi.it
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: alessandro.bianchini@unifi.it
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Giulia Andreini,
Giulia Andreini
Department of Industrial Engineering,
University of Florence,
Firenze 50139, Italy
e-mail: giulia.andreini@unifi.it
University of Florence,
Via di Santa Marta 3
,Firenze 50139, Italy
e-mail: giulia.andreini@unifi.it
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Lorenzo Ferrari,
Lorenzo Ferrari
Department of Energy, Systems, Territory and
Construction Engineering,
University of Pisa,
Pisa 56122, Italy
e-mail: lorenzo.ferrari@unipi.it
Construction Engineering,
University of Pisa,
Largo Lucio Lazzarino
,Pisa 56122, Italy
e-mail: lorenzo.ferrari@unipi.it
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Dante Tommaso Rubino,
Dante Tommaso Rubino
Baker Hughes, a GE company,
Firenze 50127, Italy
e-mail: dantetommaso.rubino@bhge.com
Via Felice Matteucci 10
,Firenze 50127, Italy
e-mail: dantetommaso.rubino@bhge.com
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Giovanni Ferrara
Giovanni Ferrara
Department of Industrial Engineering,
University of Florence,
Firenze 50139, Italy
e-mail: giovanni.ferrara@unifi.it
University of Florence,
Via di Santa Marta 3
,Firenze 50139, Italy
e-mail: giovanni.ferrara@unifi.it
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Alessandro Bianchini
Department of Industrial Engineering,
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: alessandro.bianchini@unifi.it
University of Florence,
Via di Santa Marta 3,
Firenze 50139, Italy
e-mail: alessandro.bianchini@unifi.it
Giulia Andreini
Department of Industrial Engineering,
University of Florence,
Firenze 50139, Italy
e-mail: giulia.andreini@unifi.it
University of Florence,
Via di Santa Marta 3
,Firenze 50139, Italy
e-mail: giulia.andreini@unifi.it
Lorenzo Ferrari
Department of Energy, Systems, Territory and
Construction Engineering,
University of Pisa,
Pisa 56122, Italy
e-mail: lorenzo.ferrari@unipi.it
Construction Engineering,
University of Pisa,
Largo Lucio Lazzarino
,Pisa 56122, Italy
e-mail: lorenzo.ferrari@unipi.it
Dante Tommaso Rubino
Baker Hughes, a GE company,
Firenze 50127, Italy
e-mail: dantetommaso.rubino@bhge.com
Via Felice Matteucci 10
,Firenze 50127, Italy
e-mail: dantetommaso.rubino@bhge.com
Giovanni Ferrara
Department of Industrial Engineering,
University of Florence,
Firenze 50139, Italy
e-mail: giovanni.ferrara@unifi.it
University of Florence,
Via di Santa Marta 3
,Firenze 50139, Italy
e-mail: giovanni.ferrara@unifi.it
Manuscript received June 26, 2018; final manuscript received July 4, 2018; published online September 19, 2018. Editor: Jerzy T. Sawicki.
J. Eng. Gas Turbines Power. Feb 2019, 141(2): 021003 (7 pages)
Published Online: September 19, 2018
Article history
Received:
June 26, 2018
Revised:
July 4, 2018
Citation
Bianchini, A., Andreini, G., Ferrari, L., Rubino, D. T., and Ferrara, G. (September 19, 2018). "Development of a Criterion for a Robust Identification of Diffuser Rotating Stall Onset in Industrial Centrifugal Compressors." ASME. J. Eng. Gas Turbines Power. February 2019; 141(2): 021003. https://doi.org/10.1115/1.4040863
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