In the 1950s, NACA conducted a series of low-speed cascade experiments investigating the performance of NACA 65-series compressor cascades with tests covering multiple airfoils of varying camber and with variations in solidity and air inlet angle. Most of the configurations show transition via laminar separation—both on suction and pressure side—characterized by a relatively flat region in pressure distribution, while turbulent reattachment is characterized by a rapid pressure recovery just downstream of the separated region. In the current study, wall-resolved large-eddy simulation (LES) has been used to predict transition via laminar separation in such compressor configurations as well as the resulting airfoil losses. Six different cascades with local diffusion factor varying from 0.14 to 0.56 (NACA 65-010, 65-410, 65-(12)10, 65-(15)10, 65-(18)10, and 65-(21)10 cascades) were analyzed at design conditions. In addition, the loss bucket for various angles of attack off-design conditions has been computed for the NACA 65-(18)10 cascade. Chord-based Reynolds number for all the experiments considered here was held at 250,000. This allows sufficient grid resolution in these LES analyses at an acceptable computational cost, i.e., up to 20,000 CPU hours per case. Detailed comparisons to test data are presented in the form of surface pressure coefficient, drag coefficient, losses, and momentum thickness ratio. The results show that LES is capable of capturing transition via laminar separation relatively well for most of the cases, and consequently, may constitute a predictive tool for assessing losses of different compressor airfoils.
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December 2016
Research-Article
Prediction of Transition and Losses in Compressor Cascades Using Large-Eddy Simulation
Gorazd Medic,
Gorazd Medic
United Technologies Research Center,
411 Silver Lane,
East Hartford, CT 06108
e-mail: medicg@utrc.utc.com
411 Silver Lane,
East Hartford, CT 06108
e-mail: medicg@utrc.utc.com
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Vicky Zhang,
Vicky Zhang
United Technologies Research
Center (China) Ltd.,
Room 3502,
35/F, Kerry Parkside Office,
1155 Fang Dian Road,
Pudong New Area,
Shanghai 201204, China
e-mail: zhangw3@utrc.utc.com
Center (China) Ltd.,
Room 3502,
35/F, Kerry Parkside Office,
1155 Fang Dian Road,
Pudong New Area,
Shanghai 201204, China
e-mail: zhangw3@utrc.utc.com
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Guolei Wang,
Guolei Wang
United Technologies Research
Center (China) Ltd.,
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e-mail: wanggl@utrc.utc.com
Center (China) Ltd.,
Room 3502,
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Jongwook Joo,
Jongwook Joo
United Technologies Research Center,
411 Silver Lane,
East Hartford, CT 06108
e-mail: jooj@utrc.utc.com
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Om P. Sharma
Om P. Sharma
United Technologies Research Center,
411 Silver Lane,
East Hartford, CT 06108
e-mail: sharmaop@utrc.utc.com
411 Silver Lane,
East Hartford, CT 06108
e-mail: sharmaop@utrc.utc.com
Search for other works by this author on:
Gorazd Medic
United Technologies Research Center,
411 Silver Lane,
East Hartford, CT 06108
e-mail: medicg@utrc.utc.com
411 Silver Lane,
East Hartford, CT 06108
e-mail: medicg@utrc.utc.com
Vicky Zhang
United Technologies Research
Center (China) Ltd.,
Room 3502,
35/F, Kerry Parkside Office,
1155 Fang Dian Road,
Pudong New Area,
Shanghai 201204, China
e-mail: zhangw3@utrc.utc.com
Center (China) Ltd.,
Room 3502,
35/F, Kerry Parkside Office,
1155 Fang Dian Road,
Pudong New Area,
Shanghai 201204, China
e-mail: zhangw3@utrc.utc.com
Guolei Wang
United Technologies Research
Center (China) Ltd.,
Room 3502,
35/F, Kerry Parkside Office,
1155 Fang Dian Road,
Pudong New Area,
Shanghai 201204, China
e-mail: wanggl@utrc.utc.com
Center (China) Ltd.,
Room 3502,
35/F, Kerry Parkside Office,
1155 Fang Dian Road,
Pudong New Area,
Shanghai 201204, China
e-mail: wanggl@utrc.utc.com
Jongwook Joo
United Technologies Research Center,
411 Silver Lane,
East Hartford, CT 06108
e-mail: jooj@utrc.utc.com
411 Silver Lane,
East Hartford, CT 06108
e-mail: jooj@utrc.utc.com
Om P. Sharma
United Technologies Research Center,
411 Silver Lane,
East Hartford, CT 06108
e-mail: sharmaop@utrc.utc.com
411 Silver Lane,
East Hartford, CT 06108
e-mail: sharmaop@utrc.utc.com
1Corresponding author.
2Present address: Envision Energy Limited, SOHO Zhongshan Plaza, 1065 West Zhongshan Road, Shanghai 200051, China.
Contributed by the International Gas Turbine Institute (IGTI) of ASME for publication in the JOURNAL OF TURBOMACHINERY. Manuscript received March 20, 2015; final manuscript received April 19, 2016; published online June 1, 2016. Assoc. Editor: Graham Pullan.
J. Turbomach. Dec 2016, 138(12): 121001 (9 pages)
Published Online: June 1, 2016
Article history
Received:
March 20, 2015
Revised:
April 19, 2016
Citation
Medic, G., Zhang, V., Wang, G., Joo, J., and Sharma, O. P. (June 1, 2016). "Prediction of Transition and Losses in Compressor Cascades Using Large-Eddy Simulation." ASME. J. Turbomach. December 2016; 138(12): 121001. https://doi.org/10.1115/1.4033514
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