A blade design performance based off-design loss prediction method for axial flow compressors and cascades

• Autorzy: Wu Dongrun , Teng Jinfang , Qiang Xiaoqing , Yang Zhong

Identyfikatory

DOI

10.15632/jtam-pl/112420

• Języki publikacji: EN

Abstrakty

EN

A series of compressor and cascade test recordings are studied to investigate the off-design loss prediction method. The blade design performance is used to predict the off-design loss changing rate at all operating conditions through analytical derivations and statistical correlation studies. The linear correlation between the incidence and a non-dimensional blade loading factor is the foundation of the prediction method. The off-design incidence is normalized using the off-design blade loading factor for different series of blade designs. An analytical method is introduced to predict the off-design blade loading factor based on design parameters and linear correlation. The changing rate of the off-design loss against the blade loading factor is empirically given through statistical analysis. In application, the prediction method can be used to demonstrate the design space of the off-design incidence for a blade series. The modification of the endwall and the rotor tip loss is recommended to give a more accurate prediction in those regions.

Słowa kluczowe

EN

blade design performance; off-design loss; prediction method; axial flow compressor; cascade

• Wydawca: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
• Czasopismo: Journal of Theoretical and Applied Mechanics
• Rocznik: 2019
• Tom: Vol. 57 nr 4
• Strony: 973--985
• Opis fizyczny: Bibliogr. 28 poz., rys., tab.

Twórcy

autor

Wu Dongrun

• School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China

autor

Teng Jinfang

• School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China

autor

Qiang Xiaoqing

• School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China

autor

Yang Zhong

• AECC Commercial Aircraft Engine Co., Ltd., Shanghai, China

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).