基于改进PSO算法的导叶式旋风分离器结构参数多目标优化

为了进一步提高旋风分离器性能,对导叶式旋风分离器结构进行多目标优化。首先构建旋风分离器参数化脚本模型,通过数值模拟与台架试验对模型准确性进行验证,再基于全局高灵敏参数,利用搜索能力强和收敛速度快的改进PSO算法,以分离效率和压降为性能目标对分离器结构进行优化。对比分析优化前后的参数变化率、静压力与湍动能,结合工程需求选取最优方案,并对最优方案进行试验验证。结果表明：优化后的参数配置可有效减弱内部湍流运动强度和能量损耗,最优方案的分离效率由原来85.10%提升到92.09%,压降降低30.45%。

Multi-objective Optimization for Structural Parameters of Guide Vane Cyclone Separator Based on Improved PSO Algorithm

In order to further improve the performance of cyclone separator,the structure of guide vane separator was multi-objective optimized.The parametric script model was constructed by using script,and the accuracy of the model was verified by bench test.Based on the global high sensitivity parameters,the structure of separator was optimized by the improved PSO algorithm which had strong search ability and fast convergence speed,and with the separation efficiency and the pressure drop as the performance objectives.The rate of parameters change,static pressure and turbulent kinetic energy before and after optimization were compared and analyzed.The optimal scheme was selected combined with the engineering requirements,and the optimal scheme was tested.The results show that the optimal parameter configurations can effectively reduce the internal turbulent motion intensity and energy loss.The efficiency of the optimal scheme is increased from the original 85.10% to 92.09%,and the pressure drop was reduced by 30.45%.