Design optimization of a multi-stage axial compressor using through flow and a database of optimal airflows

The basic tool set to design multi-stage axial compressors consists of fast codes for throughflow and blade-to-blade analysis. Detailed blade row design is conducted with 3D CFD, mainly to control the end wall flow. This work focuses on the interaction between throughflow and blade-to-blade design a...

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Main Authors: Markus Schnoes, Christian Voß, Eberhard Nicke
Format: Article
Language:English
Published: Global Power and Propulsion Society 2018-10-01
Series:Journal of the Global Power and Propulsion Society
Subjects:
Online Access:https://www.gppsjournal.org/journals/journal-of-the-global-power-and-propulsion-society/design-optimization-of-a-multi-stage-axial-compressor-using-throughflow-and-a-database-of-optimal-airfoils/
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author Markus Schnoes
Christian Voß
Eberhard Nicke
author_facet Markus Schnoes
Christian Voß
Eberhard Nicke
author_sort Markus Schnoes
collection DOAJ
description The basic tool set to design multi-stage axial compressors consists of fast codes for throughflow and blade-to-blade analysis. Detailed blade row design is conducted with 3D CFD, mainly to control the end wall flow. This work focuses on the interaction between throughflow and blade-to-blade design and the transition to 3D CFD. A design strategy is presented that is based on a versatile airfoil family. The new class of airfoils is generated by optimizing a large number of airfoil shapes for varying design requirements. Each airfoil geometry satisfies the need for a wide working range as well as low losses. Based on this data, machine learning is applied to estimate optimal airfoil shape and performance. The performance prediction is incorporated into the throughflow code. Based on a throughflow design, the airfoils can be stacked automatically to generate 3D blades. On this basis, a 3D CFD setup can be derived. This strategy is applied to study upgrade options for a 15-stage stationary gas turbine compressor test rig. At first, the behavior of the new airfoils is studied in detail. Afterwards, the design is optimized for mass flow rate as well as efficiency. Selected configurations from the Pareto-front are evaluated with 3D CFD.
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spelling doaj.art-267b6ef2565d4238b43d9c5d5d24df942022-12-22T01:37:53ZengGlobal Power and Propulsion SocietyJournal of the Global Power and Propulsion Society2515-30802515-30802018-10-01210.22261/JGPPS.W5N91IDesign optimization of a multi-stage axial compressor using through flow and a database of optimal airflowsMarkus Schnoes0Christian Voß1Eberhard Nicke2 Institute of Propulsion Technology, German Aerospace Center (DLR), Linder Hoehe, Cologne, 51147, Germany Institute of Propulsion Technology, German Aerospace Center (DLR), Linder Hoehe, Cologne, 51147, Germany Institute of Propulsion Technology, German Aerospace Center (DLR), Linder Hoehe, Cologne, 51147, GermanyThe basic tool set to design multi-stage axial compressors consists of fast codes for throughflow and blade-to-blade analysis. Detailed blade row design is conducted with 3D CFD, mainly to control the end wall flow. This work focuses on the interaction between throughflow and blade-to-blade design and the transition to 3D CFD. A design strategy is presented that is based on a versatile airfoil family. The new class of airfoils is generated by optimizing a large number of airfoil shapes for varying design requirements. Each airfoil geometry satisfies the need for a wide working range as well as low losses. Based on this data, machine learning is applied to estimate optimal airfoil shape and performance. The performance prediction is incorporated into the throughflow code. Based on a throughflow design, the airfoils can be stacked automatically to generate 3D blades. On this basis, a 3D CFD setup can be derived. This strategy is applied to study upgrade options for a 15-stage stationary gas turbine compressor test rig. At first, the behavior of the new airfoils is studied in detail. Afterwards, the design is optimized for mass flow rate as well as efficiency. Selected configurations from the Pareto-front are evaluated with 3D CFD.https://www.gppsjournal.org/journals/journal-of-the-global-power-and-propulsion-society/design-optimization-of-a-multi-stage-axial-compressor-using-throughflow-and-a-database-of-optimal-airfoils/compressoroptimizationthroughflow
spellingShingle Markus Schnoes
Christian Voß
Eberhard Nicke
Design optimization of a multi-stage axial compressor using through flow and a database of optimal airflows
Journal of the Global Power and Propulsion Society
compressor
optimization
throughflow
title Design optimization of a multi-stage axial compressor using through flow and a database of optimal airflows
title_full Design optimization of a multi-stage axial compressor using through flow and a database of optimal airflows
title_fullStr Design optimization of a multi-stage axial compressor using through flow and a database of optimal airflows
title_full_unstemmed Design optimization of a multi-stage axial compressor using through flow and a database of optimal airflows
title_short Design optimization of a multi-stage axial compressor using through flow and a database of optimal airflows
title_sort design optimization of a multi stage axial compressor using through flow and a database of optimal airflows
topic compressor
optimization
throughflow
url https://www.gppsjournal.org/journals/journal-of-the-global-power-and-propulsion-society/design-optimization-of-a-multi-stage-axial-compressor-using-throughflow-and-a-database-of-optimal-airfoils/
work_keys_str_mv AT markusschnoes designoptimizationofamultistageaxialcompressorusingthroughflowandadatabaseofoptimalairflows
AT christianvoß designoptimizationofamultistageaxialcompressorusingthroughflowandadatabaseofoptimalairflows
AT eberhardnicke designoptimizationofamultistageaxialcompressorusingthroughflowandadatabaseofoptimalairflows