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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Format: | Article |
Language: | English |
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Global Power and Propulsion Society
2018-10-01
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Series: | Journal of the Global Power and Propulsion Society |
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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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format | Article |
id | doaj.art-267b6ef2565d4238b43d9c5d5d24df94 |
institution | Directory Open Access Journal |
issn | 2515-3080 2515-3080 |
language | English |
last_indexed | 2024-12-10T18:33:18Z |
publishDate | 2018-10-01 |
publisher | Global Power and Propulsion Society |
record_format | Article |
series | Journal of the Global Power and Propulsion Society |
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 |