blade-to-blade flow

基本解释

The software uses artificial neural network and genetic algorithm to locally 3D optimize each row of blade, and uses 3D viscous N -S equation to simulate the flow field.
采用人工神经网络和遗传算法对各列叶栅进行了三维局部优化，流场计算采用全三维黏性流N—S方程求解。
The results also indicate that the pressure CVD method not only enhances the stage match but also prevents the blade outlet flow parameters from non-uniform to reduce mixing losses.
研究还表明，采用这种压力可控涡设计方法，不仅可以提高了动静叶匹配，还可以避免级后气流参数不均匀，最大程度地减少了叶栅出口掺混损失。
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The experiment results show that using non-smooth blades can change the exit streamwise vortex structures. The exit flow fields tend to well-distributed. The overall blade losses are reduced.
实验结果表明，采用非光滑叶片改变了叶栅出口旋涡结构及流动分布，使叶栅出口的流场趋于均匀，叶片可以随更大的负荷。
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