Supersonic Compressor Cascade Shape Optimization under Multiple Inlet Mach Operating Conditions
Transonic compressors are widely used today in propulsion and industrial applications thanks to their higher specific work compared to subsonic. In this work, the aerodynamic optimization of a two-dimensional Computational Fluid Dynamics (CFD) model of the transonic cascade ARL-SL19 is described. Th...
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MDPI AG
2019-05-01
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Online Access: | https://www.mdpi.com/2226-4310/6/6/64 |
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author | Marco Casoni Andrea Magrini Ernesto Benini |
author_facet | Marco Casoni Andrea Magrini Ernesto Benini |
author_sort | Marco Casoni |
collection | DOAJ |
description | Transonic compressors are widely used today in propulsion and industrial applications thanks to their higher specific work compared to subsonic. In this work, the aerodynamic optimization of a two-dimensional Computational Fluid Dynamics (CFD) model of the transonic cascade ARL-SL19 is described. The validated computational model is used for a multi-objective optimization of the cascade at three different inlet Mach numbers using a genetic algorithm and an artificial neural network, with the aim of reducing total pressure loss and increasing maximum pressure ratio. Finally, the optimized shapes on the Pareto fronts are investigated, analyzing mechanisms responsible for loss reduction and enhanced compression. Profiles having the lowest losses have flatter camberlines and reduced acceleration of flow on the suction side, while geometries achieving the highest pressure ratio values have a more cambered shape with a concave suction side. |
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institution | Directory Open Access Journal |
issn | 2226-4310 |
language | English |
last_indexed | 2024-12-20T03:30:06Z |
publishDate | 2019-05-01 |
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series | Aerospace |
spelling | doaj.art-24b68473cd8b4ce1bedeff582413dab22022-12-21T19:55:01ZengMDPI AGAerospace2226-43102019-05-01666410.3390/aerospace6060064aerospace6060064Supersonic Compressor Cascade Shape Optimization under Multiple Inlet Mach Operating ConditionsMarco Casoni0Andrea Magrini1Ernesto Benini2Department of Industrial Engineering, University of Padova, via Venezia 1, 35131 Padova, ItalyDepartment of Industrial Engineering, University of Padova, via Venezia 1, 35131 Padova, ItalyDepartment of Industrial Engineering, University of Padova, via Venezia 1, 35131 Padova, ItalyTransonic compressors are widely used today in propulsion and industrial applications thanks to their higher specific work compared to subsonic. In this work, the aerodynamic optimization of a two-dimensional Computational Fluid Dynamics (CFD) model of the transonic cascade ARL-SL19 is described. The validated computational model is used for a multi-objective optimization of the cascade at three different inlet Mach numbers using a genetic algorithm and an artificial neural network, with the aim of reducing total pressure loss and increasing maximum pressure ratio. Finally, the optimized shapes on the Pareto fronts are investigated, analyzing mechanisms responsible for loss reduction and enhanced compression. Profiles having the lowest losses have flatter camberlines and reduced acceleration of flow on the suction side, while geometries achieving the highest pressure ratio values have a more cambered shape with a concave suction side.https://www.mdpi.com/2226-4310/6/6/64transonic compressorARL-SL19 cascadeturbomachinery optimizationgenetic algorithmComputational Fluid Dynamics (CFD) |
spellingShingle | Marco Casoni Andrea Magrini Ernesto Benini Supersonic Compressor Cascade Shape Optimization under Multiple Inlet Mach Operating Conditions Aerospace transonic compressor ARL-SL19 cascade turbomachinery optimization genetic algorithm Computational Fluid Dynamics (CFD) |
title | Supersonic Compressor Cascade Shape Optimization under Multiple Inlet Mach Operating Conditions |
title_full | Supersonic Compressor Cascade Shape Optimization under Multiple Inlet Mach Operating Conditions |
title_fullStr | Supersonic Compressor Cascade Shape Optimization under Multiple Inlet Mach Operating Conditions |
title_full_unstemmed | Supersonic Compressor Cascade Shape Optimization under Multiple Inlet Mach Operating Conditions |
title_short | Supersonic Compressor Cascade Shape Optimization under Multiple Inlet Mach Operating Conditions |
title_sort | supersonic compressor cascade shape optimization under multiple inlet mach operating conditions |
topic | transonic compressor ARL-SL19 cascade turbomachinery optimization genetic algorithm Computational Fluid Dynamics (CFD) |
url | https://www.mdpi.com/2226-4310/6/6/64 |
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