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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 atomization performance of kerosene jet in supersonic gas flow, Fluent software was used to simulate the atomization condition. The objective function was to evaluate the atomization quality such as penetration depth, lateral diffusion range and SMD (Solder Mean) , The multi-objective orthogonal optimization is carried out with the injection angle, the nozzle diameter, the injection speed and the like as independent injection parameters. The gray system theory was used to optimize the injection parameters and the numerical simulation was carried out. The simulation results show that the atomization quality is obviously improved than before optimization. The research shows that the method of orthogonal test and gray correlation analysis applied to the optimization of kerosene supersonic atomization parameters is effective.