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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Main Authors: Marco Casoni, Andrea Magrini, Ernesto Benini
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Aerospace
Subjects:
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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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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AT ernestobenini supersoniccompressorcascadeshapeoptimizationundermultipleinletmachoperatingconditions