摘要
为探索不同空化模型对氧泵诱导轮的适应性,选取Schnerr&Sauer,Zwart及Singhal三种空化模型对氧泵诱导轮进行数值模拟,将三种不同流量系数(φ=0.9,φ=1.0及φ=1.1)下每个计算结果与实验数据进行对比,发现Schnerr&Sauer和Zwart两种模型预测空化外特性变化趋势更加接近实验值,其中Schnerr&Sauer模型在空化发生段的计算结果与实验结果吻合较好。Schnerr&Sauer和Zwart两种模型在φ=1.0的临界空化数与实验值误差为2.9%,在φ=1.1的临界空化数与实验值误差为8.7%,Singhal模型计算结果偏差较大。三种空化模型在计算叶片压力分布上比较相近,在计算叶栅及流道气泡数分布上,由于Schnerr&Sauer和Zwart模型都考虑了气泡数密度的影响,而Singhal模型仅考虑了气泡运动,计算的气泡分布较低;综合考虑外特性及内流场计算结果,Schnerr&Sauer更适应于诱导轮空化计算。
In order to explore the adaptability of different cavitation models to the liquid oxygen pump inducer, three cavitation models （Schnerr ＆ Sauer model, Zwart model and Singhal model） were selected to simulate the liquid oxygen pump inducer numerically. The simulation results were compared with the experiment results respectively under the condition of three different flow coefficients （φ=0.9, φ=1.0,φ=1.1）. It is found that the prediction accuracy of Schnerr ＆ Sauer model and Zwart model is higher than Singhal model. Among them, the calculation results of Schnerr ＆ Sauer cavitation model in the section of cavitation occurrence are in good agreement with the experiment results. As φ =1.0, the error between the experimental value and the critical cavitation number of Schnerr ＆ Sauer model and Zwart model is 2.9%; as φ=1.1, the error between them is 8.7%; the error of calculated result from Singhal model is larger. The blade pressure distribution values calculated by the three models are similar, while simulations of vapor volume fraction distribution among blades section with different cavitation number were different. When calculating the contribution of blade cascade and bubble number in flow path, the effect of bubble number density was considered in Schnerr ＆ Sauer model and Zwart model, but the bubble motion only was considered in Singhal model. Thus, bubble distribution calculated by Singhal model is relatively low. In consideration of the external characteristics and the inner flow field calculated results, the Schnerr ＆ Saner model is more suitable for the calculation of inducer cavitation.
出处
《火箭推进》
CAS
2016年第5期17-23,共7页
Journal of Rocket Propulsion
关键词
空化模型
数值分析
诱导轮
cavitation model
numerical analysis
inducer
