基于灰色系统理论的煤油超声速雾化的仿真优化

Simulation and Optimization of Kerosene Atomization in Supersonic Airstream Based on the Grey System Theory

为了提高煤油在超声速气流中喷射的雾化性能,利用Fluent软件模拟其雾化情况,以穿透深度、横向扩散范围、索特尔平均粒径(SMD)等雾化质量的评价指标为目标函数,以喷射角度、喷嘴直径、喷射速度等作为独立的喷射参数,进行多目标正交优化。应用灰色系统理论优化喷射参数组合,并以其再进行数值模拟验证,模拟结果表明雾化质量比优化前明显提高。研究表明,以正交试验法和灰色关联分析法应用于煤油超声速雾化参数优化的方法是有效的。

In order to improve the spray quality of kerosene injected into the supersonic airstream, the liquid kerosene atomization was numerical simulated by FLUENT software while the angle of jet-flow, the diameter of nozzle, the velocity of jet-flow were considered as independent parameters. The penetration depth of the spray, it＇ s range of diffusion and it＇s sauter mean diameter （SMD） were acquired by a group of orthogonal experiments. The optimum atomization parameters were obtained by the grey relational analysis method. Then, liquid kerosene atomization was simulated with the optimized parameters, and the result of the simulation shows that the spray quality was markedly improved. The research shows that, the orthogonal experimental method and the grey relational analysis are effective methods to optimize the parameters of the atomization.