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Surge Margin Optimization of Centrifugal Compressors Using a New Objective Function Based on Local Flow Parameters

Ratz, Johannes ; Leichtfuß, Sebastian ; Beck, Maximilian ; Schiffer, Heinz-Peter ; Fröhlig, Friedrich (2023)
Surge Margin Optimization of Centrifugal Compressors Using a New Objective Function Based on Local Flow Parameters.
In: International Journal of Turbomachinery, Propulsion and Power, 2019, 4 (4)
doi: 10.26083/tuprints-00016113
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (Abstract)

Currently, 3D-CFD design optimization of centrifugal compressors in terms of the surge margin is one major unresolved issue. On that account, this paper introduces a new kind of objective function. The objective function is based on local flow parameters present at the design point of the centrifugal compressor. A centrifugal compressor with a vaned diffuser is considered to demonstrate the performance of this approach. By means of a variation of the beta angle distribution of the impeller and diffuser blade, 73 design variations are generated, and several local flow parameters are evaluated. Finally, the most promising flow parameter is transferred into an objective function, and an optimization is carried out. It is shown that the new approach delivers similar results as a comparable optimization with a classic objective function using two operating points for surge margin estimation, but with less computational effort since no second operating point near the surge needs to be considered.

Typ des Eintrags: Artikel
Erschienen: 2023
Autor(en): Ratz, Johannes ; Leichtfuß, Sebastian ; Beck, Maximilian ; Schiffer, Heinz-Peter ; Fröhlig, Friedrich
Art des Eintrags: Zweitveröffentlichung
Titel: Surge Margin Optimization of Centrifugal Compressors Using a New Objective Function Based on Local Flow Parameters
Sprache: Englisch
Publikationsjahr: 28 November 2023
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2019
Ort der Erstveröffentlichung: Basel
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: International Journal of Turbomachinery, Propulsion and Power
Jahrgang/Volume einer Zeitschrift: 4
(Heft-)Nummer: 4
Kollation: 12 Seiten
DOI: 10.26083/tuprints-00016113
URL / URN: https://tuprints.ulb.tu-darmstadt.de/16113
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Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (Abstract):

Currently, 3D-CFD design optimization of centrifugal compressors in terms of the surge margin is one major unresolved issue. On that account, this paper introduces a new kind of objective function. The objective function is based on local flow parameters present at the design point of the centrifugal compressor. A centrifugal compressor with a vaned diffuser is considered to demonstrate the performance of this approach. By means of a variation of the beta angle distribution of the impeller and diffuser blade, 73 design variations are generated, and several local flow parameters are evaluated. Finally, the most promising flow parameter is transferred into an objective function, and an optimization is carried out. It is shown that the new approach delivers similar results as a comparable optimization with a classic objective function using two operating points for surge margin estimation, but with less computational effort since no second operating point near the surge needs to be considered.

Freie Schlagworte: turbocharger, centrifugal compressor, surge margin, CFD, optimization
ID-Nummer: 42
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-161132
Zusätzliche Informationen:

"This Paper is an Extended Version of Our Paper Published in the Proceedings of the 13th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics, ETC13, Lausanne, Switzerland, 8–12 April 2019; Paper No. 212."

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Fachgebiet für Gasturbinen, Luft- und Raumfahrtantriebe (GLR)
Hinterlegungsdatum: 28 Nov 2023 13:36
Letzte Änderung: 29 Nov 2023 06:16
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