Geometric Optimization of Coanda Jet Chamber Fins via Response Surface Methodology

A highly loaded axial flow compressor often leads to significant flow separation, resulting in increased pressure loss and deterioration of the pressure increase ability. Improving flow separation within a compressor is crucial for enhancing aeroengine performance. This study proposes adding a fin s...

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Main Authors: Hui Zhang, Kai Yue, Yiming Zhang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Aerospace
Subjects:
Online Access:https://www.mdpi.com/2226-4310/12/7/571
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author Hui Zhang
Kai Yue
Yiming Zhang
author_facet Hui Zhang
Kai Yue
Yiming Zhang
author_sort Hui Zhang
collection DOAJ
description A highly loaded axial flow compressor often leads to significant flow separation, resulting in increased pressure loss and deterioration of the pressure increase ability. Improving flow separation within a compressor is crucial for enhancing aeroengine performance. This study proposes adding a fin structure to the jet cavity of the Coanda jet cascade to improve flow separation at the trailing edge and corner area. The fin structure is optimized using response surface technique and a multi-objective genetic algorithm based on numerical simulation, enabling more effective control of the simultaneous separation of the boundary corner and trailing edge of the layer. The response surface model developed in this study is accurately validated. The numerical results demonstrate a 2.13% reduction in the optimized blade total pressure loss coefficient and a 12.74% reduction in the endwall loss coefficient compared to those of the original unfinned construction under the same air injection conditions. The optimization procedure markedly improves flow separation in the compressor, leading to a considerable decrease in the volume of low-energy fluid on the blade’s suction surface, particularly in the corner area. The aerodynamic performance of the high-load cascade is enhanced.
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institution Kabale University
issn 2226-4310
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publishDate 2025-06-01
publisher MDPI AG
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series Aerospace
spelling doaj-art-ceff05c2d4d84463b8f75a25290b2bc42025-08-20T03:36:18ZengMDPI AGAerospace2226-43102025-06-0112757110.3390/aerospace12070571Geometric Optimization of Coanda Jet Chamber Fins via Response Surface MethodologyHui Zhang0Kai Yue1Yiming Zhang2School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaA highly loaded axial flow compressor often leads to significant flow separation, resulting in increased pressure loss and deterioration of the pressure increase ability. Improving flow separation within a compressor is crucial for enhancing aeroengine performance. This study proposes adding a fin structure to the jet cavity of the Coanda jet cascade to improve flow separation at the trailing edge and corner area. The fin structure is optimized using response surface technique and a multi-objective genetic algorithm based on numerical simulation, enabling more effective control of the simultaneous separation of the boundary corner and trailing edge of the layer. The response surface model developed in this study is accurately validated. The numerical results demonstrate a 2.13% reduction in the optimized blade total pressure loss coefficient and a 12.74% reduction in the endwall loss coefficient compared to those of the original unfinned construction under the same air injection conditions. The optimization procedure markedly improves flow separation in the compressor, leading to a considerable decrease in the volume of low-energy fluid on the blade’s suction surface, particularly in the corner area. The aerodynamic performance of the high-load cascade is enhanced.https://www.mdpi.com/2226-4310/12/7/571flow separationsCoanda jetparametric studyresponse surface methodologymulti-objective genetic algorithm
spellingShingle Hui Zhang
Kai Yue
Yiming Zhang
Geometric Optimization of Coanda Jet Chamber Fins via Response Surface Methodology
Aerospace
flow separations
Coanda jet
parametric study
response surface methodology
multi-objective genetic algorithm
title Geometric Optimization of Coanda Jet Chamber Fins via Response Surface Methodology
title_full Geometric Optimization of Coanda Jet Chamber Fins via Response Surface Methodology
title_fullStr Geometric Optimization of Coanda Jet Chamber Fins via Response Surface Methodology
title_full_unstemmed Geometric Optimization of Coanda Jet Chamber Fins via Response Surface Methodology
title_short Geometric Optimization of Coanda Jet Chamber Fins via Response Surface Methodology
title_sort geometric optimization of coanda jet chamber fins via response surface methodology
topic flow separations
Coanda jet
parametric study
response surface methodology
multi-objective genetic algorithm
url https://www.mdpi.com/2226-4310/12/7/571
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AT kaiyue geometricoptimizationofcoandajetchamberfinsviaresponsesurfacemethodology
AT yimingzhang geometricoptimizationofcoandajetchamberfinsviaresponsesurfacemethodology