blade-to-blade flow

基本解釋

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.
采用人工神經網絡和遺傳算法對各列葉柵進行了三維局部優(yōu)化，流場計算采用全三維黏性流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.
研究還表明，采用這種壓力可控渦設計方法，不僅可以提高了動靜葉匹配，還可以避免級后氣流參數(shù)不均勻，最大程度地減少了葉柵出口摻混損失。
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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.
實驗結果表明，采用非光滑葉片改變了葉柵出口旋渦結構及流動分布，使葉柵出口的流場趨于均勻，葉片可以隨更大的負荷。
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