Journal of Shanghai Jiao Tong University ›› 2021, Vol. 55 ›› Issue (11): 1343-1351.doi: 10.16183/j.cnki.jsjtu.2020.261

Special Issue: 《上海交通大学学报》2021年“航空航天科学技术”专题 《上海交通大学学报》2021年12期专题汇总专辑

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Numerical Simulation of Compressor Stall Recovery Control

GAO Yuana, WU Yadonga,b(), OUYANG Huaa,b   

  1. a. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    b. Engineering Research Center of Gas Turbine and Civil Aero Engine of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2020-08-14 Online:2021-11-28 Published:2021-12-03
  • Contact: WU Yadong E-mail:yadongwu@sjtu.edu.cn

Abstract:

In order to explore the influencing factors of the effectiveness and stability for stall recovery and its flow mechanism when the antisurge valve is opened quickly, the dynamic stall recovery processes are simulated and the recovery processes at different discharging speeds are emphatically compared. Two numerical simulation methods, i.e., the distributed speed-changeable MG (Moore-Greitzer) model and the RANS (Reynolds Averaged Navier-Stokes) equation are used. The performance curves predicated by the two models agree well. The results of RANS show that the flow field changes are essentially the same when the valve is opened at different speeds. The disturbance, affected by the high-speed air flow generated at the inlet, moves downstream and finally reaches the leading edge of the rotor, whose scale will be further reduced with the impact of axial high-speed flow until completely dissipated. A comparison of different valve opening speeds indicates that the faster the valve is opened, the stronger the high-speed air flow generated at the inlet, shortening the stall recovery time. The greater the disturbance weakening degree, the faster the circumferential propagation speed of the disturbance, and the closer to the rotor speed. In the process of valve opening, the air flow fluctuation is more intense, and more energy is lost.

Key words: stall, antisurge valve control, distributed speed-changeable Moore-Greitzer model, numerical simulation, flow mechanism analysis

CLC Number: