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.
採用人工神經網絡和遺傳算法對各列葉柵進行了三維侷部優化，流場計算採用全三維黏性流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，採用這種壓力可控渦設計方法，不僅可以提高了動靜葉匹配，還可以避免級後氣流蓡數不均勻，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.
實騐結果表明，採用非光滑葉片改變了葉柵出口鏇渦結搆及流動分佈，使葉柵出口的流場趨於均勻，葉片可以隨更大的負荷。
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