In the present paper, numerical study of flow and heat transfer properties of RP-3 kerosene at liquid and supercritical conditions in an impingement model is conducted with renormalization group (RNG) turbulence model and a ten-species surrogate of kerosene. The independence of grids is first studied, and the numerical results are compared with experimental data for validation. Characteristics of flow and heat transfer of kerosene flow in the impingement model are studied with different inlet mass flow rates and different inlet temperatures. The velocity and temperature field show similar profile compared to that of air impingement. The heat transfer rates increase first with the increasing of inlet temperature and then decrease suddenly when the inlet temperature is 500 K.
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November 2018
This article was originally published in
Journal of Heat Transfer
Research-Article
Numerical Study of Impingement Cooling of Aviation Kerosene at Supercritical Conditions
Yunfei Xing,
Yunfei Xing
State Key Laboratory of
High Temperature Gas Dynamics,
Institute of Mechanics,
Chinese Academy of Sciences,
Beijing 100190, China
High Temperature Gas Dynamics,
Institute of Mechanics,
Chinese Academy of Sciences,
Beijing 100190, China
Search for other works by this author on:
Fengquan Zhong,
Fengquan Zhong
State Key Laboratory of
High Temperature Gas Dynamics,
Institute of Mechanics,
Chinese Academy of Sciences,
Beijing 100190, China;
School of Engineering Science,
University of Chinese Academy of Sciences,
Beijing 100049, China
e-mail: fzhong@imech.ac.cn
High Temperature Gas Dynamics,
Institute of Mechanics,
Chinese Academy of Sciences,
Beijing 100190, China;
School of Engineering Science,
University of Chinese Academy of Sciences,
Beijing 100049, China
e-mail: fzhong@imech.ac.cn
Search for other works by this author on:
Xinyu Zhang
Xinyu Zhang
State Key Laboratory of
High Temperature Gas Dynamics,
Institute of Mechanics,
Chinese Academy of Sciences,
Beijing 100190, China;
School of Engineering Science,
University of Chinese Academy of Sciences,
Beijing 100049, China
High Temperature Gas Dynamics,
Institute of Mechanics,
Chinese Academy of Sciences,
Beijing 100190, China;
School of Engineering Science,
University of Chinese Academy of Sciences,
Beijing 100049, China
Search for other works by this author on:
Yunfei Xing
State Key Laboratory of
High Temperature Gas Dynamics,
Institute of Mechanics,
Chinese Academy of Sciences,
Beijing 100190, China
High Temperature Gas Dynamics,
Institute of Mechanics,
Chinese Academy of Sciences,
Beijing 100190, China
Fengquan Zhong
State Key Laboratory of
High Temperature Gas Dynamics,
Institute of Mechanics,
Chinese Academy of Sciences,
Beijing 100190, China;
School of Engineering Science,
University of Chinese Academy of Sciences,
Beijing 100049, China
e-mail: fzhong@imech.ac.cn
High Temperature Gas Dynamics,
Institute of Mechanics,
Chinese Academy of Sciences,
Beijing 100190, China;
School of Engineering Science,
University of Chinese Academy of Sciences,
Beijing 100049, China
e-mail: fzhong@imech.ac.cn
Xinyu Zhang
State Key Laboratory of
High Temperature Gas Dynamics,
Institute of Mechanics,
Chinese Academy of Sciences,
Beijing 100190, China;
School of Engineering Science,
University of Chinese Academy of Sciences,
Beijing 100049, China
High Temperature Gas Dynamics,
Institute of Mechanics,
Chinese Academy of Sciences,
Beijing 100190, China;
School of Engineering Science,
University of Chinese Academy of Sciences,
Beijing 100049, China
1Corresponding author.
Contributed by the Heat Transfer Division of ASME for publication in the JOURNAL OF HEAT TRANSFER. Manuscript received January 10, 2018; final manuscript received June 4, 2018; published online July 23, 2018. Assoc. Editor: Amy Fleischer.
J. Heat Transfer. Nov 2018, 140(11): 112201 (7 pages)
Published Online: July 23, 2018
Article history
Received:
January 10, 2018
Revised:
June 4, 2018
Citation
Xing, Y., Zhong, F., and Zhang, X. (July 23, 2018). "Numerical Study of Impingement Cooling of Aviation Kerosene at Supercritical Conditions." ASME. J. Heat Transfer. November 2018; 140(11): 112201. https://doi.org/10.1115/1.4040612
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