流体机械

2006, (06) 22-25

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一种改进的涡轮叶片叶型损失预测模型
An Improved Profile Loss Correlation for Turbine Blade Rows

党春宁;楚武利;朱俊强;
DANG Chun-ning,CHU Wu-li,ZHU Jun-qiang(Northwestern Polytechnical University,Xi'an 710072,China)

摘要(Abstract):

借助于内部试验和公开发表的大量的叶型损失试验数据,在Kacker和Okapuu的叶型损失预测模型的基础上,提出一种改进的损失预测模型。和传统的方法相比,采用改进的损失预测模型能够更加准确地预测最新设计的涡轮叶片(包括高载荷低压涡轮叶片)的叶型损失。
With the aid of a large database of measured profile losses,including in-house results and recent cases from the open literature,the profile loss predictions of Kacker and Okapuu have been improved.A new revised correlation is introduced in this paper and that appears to be capture much better the loss of axial-turbine airfoils of recent design(including very highly-loaded LP turbine airfoils).

关键词(KeyWords): 叶型损失;涡轮叶片;雷诺数;经验关联
profile loss;turbine blade;Reynolds number;empirical correlations

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作者(Author): 党春宁;楚武利;朱俊强;
DANG Chun-ning,CHU Wu-li,ZHU Jun-qiang(Northwestern Polytechnical University,Xi'an 710072,China)

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