Investigation of boiling hydrogen flow characteristics under low-pressure conditions - Flow regime transition characteristics
Investigation of boiling hydrogen flow characteristics under low-pressure conditions - Flow regime transition characteristics
复制标题
低压条件下沸腾氢气流动特性研究——流态转变特性
DOI:
10.1016/j.ijhydene.2020.12.038
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发表时间:
2021
影响因子:
7.2
通讯作者:
Sato Tetsuya
中科院分区:
文献类型:
--
作者:
Sakamoto Yuki;Kobayashi Hiroaki;Naruo Yoshihiro;Takesaki Yuichiro;Nakajima Yo;Kabayama Koki;Sato Tetsuya
Understanding the thermal-fluid characteristics of boiling hydrogen is of great significance for applications of liquid hydrogen, such as alternative clean energy and space vehicles. The boiling temperature of liquid hydrogen under atmospheric pressure is 20.3 K; thus, it is easy to boil to form a gas–liquid two-phase flow. Fuel transfer under the boiling state has been avoided in the space industry because of its unstable flow characteristics; precise control of the fuel, including the boiling flow, is necessary to improve the space-vehicle performance. This study aims to understand the flow-regime transition characteristics of boiling hydrogen through experimental investigation. The experimental conditions were as follows: the flow direction was horizontal, the inner diameter of the heating pipe was 15 mm, the mass flux ranged from 50 to 110 kg/m2s, and the pressure ranged from 250 to 300 kPa A. The flow-regime transition characteristics were obtained by a high-speed camera. Fully liquid phase (LP), dispersed bubbly flow (DB), intermittent flow (IN), and annular flow (AN) were observed during the experiment. Each flow-regime boundary model is constructed using two dominant forces from the experimental result based on a Taitel–Dukler model. For the DB/IN boundary, a large-bubble sustainable condition is derived by the balance between the shear and buoyancy forces acting upon the bubble; for the IN/AN boundary, a droplet-sustainable condition is derived in terms of the force balance between the drag and gravity acting on the droplet. The semi-theoretical model predicts the experimental data with 96.7% accuracy.
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DOI:
10.1016/j.ijhydene.2017.07.038
发表时间:
2017
期刊:
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1994
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