Passive flow control at impeller radial bend for stall delay in centrifugal compressors with fishtail pipe diffusers

Ashrafi, Farzad; Vo, Huu Duc

doi:10.1016/j.ast.2023.108840

Aerospace Science and Technology

2024

DOI: 10.1016/j.ast.2023.108840

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Passive flow control at impeller radial bend for stall delay in centrifugal compressors with fishtail pipe diffusers

Farzad Ashrafi,

Huu Duc Vo

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Cited by 2 publications

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Optimal transonic buffet aerodynamic noise PSD predictions with Random Forest: Modeling methods and feature selection

Zhang,

Yang,

Zhang

2024

Aerospace Science and Technology

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Optimal transonic buffet aerodynamic noise PSD predictions with Random Forest: Modeling methods and feature selection

Zhang,

Yang,

Zhang

2024

Aerospace Science and Technology

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Parameter Optimization of a Surface Mechanical Rolling Treatment Process to Improve the Surface Integrity and Fatigue Property of FV520B Steel by Machine Learning

Zhou,

Xing,

Zhuang

et al. 2024

Materials

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Surface integrity is a critical factor that affects the fatigue resistance of materials. A surface mechanical rolling treatment (SMRT) process can effectively improve the surface integrity of the material, thus enhancing the fatigue property. In this paper, an analysis of variance (ANOVA) and signal-to-noise ratio (SNR) are performed by orthogonal experimental design with SMRT parameters as variables and surface integrity indicators as optimization objectives, and the support vector machine-active learning (SVM-AL) model is proposed based on machine learning theory. The entire model includes three rounds of AL processes. In each round of the AL process, the SMRT parameters with relative average deviation and high output values from cross-validation are selected for the additional experimental supplement. The results show that the prediction accuracy and generalization ability of the SVM-AL model are significantly improved compared to the support vector machine (SVM) model. A fatigue test was also carried out, and the fatigue property of the SMRT specimens predicted by the SVM-AL model is also higher than that of the other specimens.

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Passive flow control at impeller radial bend for stall delay in centrifugal compressors with fishtail pipe diffusers

Cited by 2 publications

References 16 publications

Optimal transonic buffet aerodynamic noise PSD predictions with Random Forest: Modeling methods and feature selection

Optimal transonic buffet aerodynamic noise PSD predictions with Random Forest: Modeling methods and feature selection

Parameter Optimization of a Surface Mechanical Rolling Treatment Process to Improve the Surface Integrity and Fatigue Property of FV520B Steel by Machine Learning

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