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基于表面粗糙度的超高负荷低压涡轮叶片附面层控制

孙爽 雷志军 卢新根 李伟 付宇 董立辉

孙爽, 雷志军, 卢新根, 李伟, 付宇, 董立辉. 基于表面粗糙度的超高负荷低压涡轮叶片附面层控制[J]. 航空动力学报, 2016, 31(4): 836-846. doi: 10.13224/j.cnki.jasp.2016.04.010
引用本文: 孙爽, 雷志军, 卢新根, 李伟, 付宇, 董立辉. 基于表面粗糙度的超高负荷低压涡轮叶片附面层控制[J]. 航空动力学报, 2016, 31(4): 836-846. doi: 10.13224/j.cnki.jasp.2016.04.010
SUN Shuang, LEI Zhi-jun, LU Xin-gen, LI Wei, FU Yu, DONG Li-hui. Boundary layer control of ultra-high-lift low pressure turbine blade with surface roughness[J]. Journal of Aerospace Power, 2016, 31(4): 836-846. doi: 10.13224/j.cnki.jasp.2016.04.010
Citation: SUN Shuang, LEI Zhi-jun, LU Xin-gen, LI Wei, FU Yu, DONG Li-hui. Boundary layer control of ultra-high-lift low pressure turbine blade with surface roughness[J]. Journal of Aerospace Power, 2016, 31(4): 836-846. doi: 10.13224/j.cnki.jasp.2016.04.010

基于表面粗糙度的超高负荷低压涡轮叶片附面层控制

doi: 10.13224/j.cnki.jasp.2016.04.010
基金项目: 

中央高校基本科研业务费专项资金(3122015C006,ZXH2012H004)

中国民航大学科研启动资金(2014QD22X,2014QD21X,2015QD02S)

国家自然科学基金(51306176)

详细信息
    作者简介:

    孙爽(1983-),男,天津人,讲师,博士,主要从事航空发动机气动热力学研究.

  • 中图分类号: V213

Boundary layer control of ultra-high-lift low pressure turbine blade with surface roughness

  • 摘要: 实验研究了表面粗糙度对PACKD-A低压涡轮叶型损失及附面层特性的影响.实验分别在定常来流与非定常条件下进行,非定常条件下的上游尾迹通过运动的圆棒来模拟.粗糙叶片通过在光洁叶片表面切槽,埋入砂纸制作成型.叶型损失与吸力面载荷使用气动探针与壁面静压孔结合压差传感器来测量,附面层流场使用热线探针来测量.结果表明:覆盖5.2%吸力面弦长(起始于44.3%吸力面弦长,终止于49.5%吸力面弦长),粗糙高度为8.82μm的控制方案在非定常条件下效果最佳,该方案可在整个考察雷诺数范围内(3×104~12×104)降低叶型损失;覆盖19.5%吸力面弦长(起始于30%吸力面弦长,终止于49.5%吸力面弦长),粗糙高度为20.91μm的控制方案在定常条件下效果最佳,该方案可在低雷诺数范围内(小于8×104)降低叶型损失、扩大叶型正常工作雷诺数范围,但在高雷诺数下(大于8×104),却带来了一定的额外损失.

     

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出版历程
  • 收稿日期:  2015-10-20
  • 刊出日期:  2016-04-28

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