中文摘要：

为了探究主要结构参数对大功率远程射雾器的射雾距离和射雾效率的影响规律,得出最优设计方案,提出基于正交试验矩阵分析法、反向传播（Back propagation,BP）神经网络算法和遗传算法的多目标智能协同优化方法,利用计算流体动力学（Computational fluid dynamics,CFD）的方法建立正交试验数据库,采用多目标智能协同优化方法对关键结构参数（叶片与轮毂夹角θ、径向间隙h、导流叶片入角α、导流叶片弦长b、导流叶片个数n和射雾风筒倾斜角β）进行协同优化,并结合物理样机进行试验验证。结果表明,各结构参数对射雾距离和射雾效率的综合影响主次顺序依次为β〉α〉h〉θ〉b〉n,最优结构参数为θ=47.8°、h=3.6、α=15.2°、b=261.6、n=7、β=1°,优化后的射雾距离提升了18.92%,射雾效率提升了12.94%,试验结果与数值计算优化结果基本吻合。该研究结果可为远程喷雾设备的设计和试验提供一定的参考。

英文摘要：

In order to explore the influence of main structure parameters on spray distance and spray efficiency of high-power remote sprayer, and find out the optimal design scheme, a multi-objective intelligent collaborative optimization method is proposed. Using numerical simulation method to establish orthogonal test database, the multi-objective intelligent collaborative optimization method which includes multi-objective orthogonal matrix method, BP （Back Propagation） neural network and genetic algorithms is applied to main structure parameters. The parameters include setting angle of blade 0, the radial clearance of blade and spray barrel h, inlet angle of guide vane a, chord length of guide vane b, numbers of guide vane n, inclination angle of spray barrel ft. A prototype is produced according to the optimal results and a verification test is carried out. It is concluded that the primary and secondary sequence of structure parameters is β〉a〉h〉θ〉b〉n, which could reflect the comprehensive influence on spray distance and spray efficiency, the optimal structure parameters of sprayer are 0-47.8°, θ=3.6, a=15.2°, b=261.6, n=7, β=1°, the spray distance is increased by 18.92% and the spray efficiency is increased by 12.94% through the multi-objective intelligent collaborative optimization method, the experimental test results are consist with the optimal result of numerical calculation. The research results provide reference for the design and experiment of remote sprayer device.