TY - GEN
T1 - One-dimensional and three-dimensional simulation of aircraft equipment cabin combined with spray cooling
AU - Zhao, Ying
AU - Cao, Qing
AU - Zhu, Yuanxun
AU - Shen, Xiaobin
AU - Liu, Peng
AU - Su, Shuai
AU - Sun, Yu
AU - Lin, Guiping
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2025/5/26
Y1 - 2025/5/26
N2 - Aircraft, especially hypersonic aircraft, are subjected to harsh thermal environments during flight, which makes thermal safety problems particularly prominent. The coupling action of aerodynamic heat from the outside and heat generated by internal equipment poses a severe challenge to the design of structural thermal protection systems and in-flight thermal control systems. The increasing power density of various electronic devices in the aircraft equipment cabin requires certain means to ensure that the thermal environment in the equipment compartment meets the operating conditions of electronic equipment. After conducting research, this study selected liquid nitrogen as a low-temperature consumable working fluid for the spray cooling of the equipment cabin. A one-dimensional simulation network model was built to calculate the liquid nitrogen flow required for aircraft equipment cabin spray cooling. The three-dimensional flow field simulation was used to verify the accuracy of the one-dimensional calculation. At the same time, the accuracy of the Fluent software simulation was verified using existing data. The results of the calculation were visualized and compared for typical flight conditions, and the flow field and temperature field in the equipment cabin, as well as the temperature of the equipment wall, were obtained. One-dimensional and three-dimensional iterations were achieved, and the feasibility and rationality of the working fluid evaporation cooling in the equipment cabin of the aircraft were determined.
AB - Aircraft, especially hypersonic aircraft, are subjected to harsh thermal environments during flight, which makes thermal safety problems particularly prominent. The coupling action of aerodynamic heat from the outside and heat generated by internal equipment poses a severe challenge to the design of structural thermal protection systems and in-flight thermal control systems. The increasing power density of various electronic devices in the aircraft equipment cabin requires certain means to ensure that the thermal environment in the equipment compartment meets the operating conditions of electronic equipment. After conducting research, this study selected liquid nitrogen as a low-temperature consumable working fluid for the spray cooling of the equipment cabin. A one-dimensional simulation network model was built to calculate the liquid nitrogen flow required for aircraft equipment cabin spray cooling. The three-dimensional flow field simulation was used to verify the accuracy of the one-dimensional calculation. At the same time, the accuracy of the Fluent software simulation was verified using existing data. The results of the calculation were visualized and compared for typical flight conditions, and the flow field and temperature field in the equipment cabin, as well as the temperature of the equipment wall, were obtained. One-dimensional and three-dimensional iterations were achieved, and the feasibility and rationality of the working fluid evaporation cooling in the equipment cabin of the aircraft were determined.
KW - Aircraft equipment cabin
KW - Liquid nitrogen
KW - One-dimensional simulation
KW - Spray cooling
KW - Three-dimensional flow field
UR - https://www.scopus.com/pages/publications/105008202853
U2 - 10.1145/3727993.3728110
DO - 10.1145/3727993.3728110
M3 - 会议稿件
AN - SCOPUS:105008202853
T3 - Proceedings of 2024 4th International Conference on Computational Modeling, Simulation and Data Analysis, CMSDA 2024
SP - 714
EP - 723
BT - Proceedings of 2024 4th International Conference on Computational Modeling, Simulation and Data Analysis, CMSDA 2024
PB - Association for Computing Machinery, Inc
T2 - 2024 4th International Conference on Computational Modeling, Simulation and Data Analysis, CMSDA 2024
Y2 - 6 December 2024 through 8 December 2024
ER -