首页> 外文会议>AIAA Fluid Dynamics Conference;AIAA Aviation Forum >A DMD-Based Automatic Transition Prediction Method for Flows over Airfoils
【24h】

A DMD-Based Automatic Transition Prediction Method for Flows over Airfoils

机译:基于DMD的翼型流动自动过渡预测方法

获取原文

摘要

The efficient and accurate prediction of transition from laminar to turbulent flow is essential to the prediction of aerodynamic characteristics of an aircraft based on computational simulations. This paper presents a "DMD/e~(N") method for predicting flow transition location over airfoils, which is then used to switch from a laminar to turbulent regime in RANS calculations. This approach combines a spatial dynamic mode decomposition (DMD) technique and an e~N method. The DMD is used for stability analysis, and the e~N method is employed to integrate the disturbance growth. Transition is assumed to take place when the amplified mode's N-factor at a given location reaches a prescribed threshold (e.g. typically N=9). Transition prediction of flows around a transonic natural-laminar-flow (NLF) LSC72613 airfoil and a low-speed laminar NLF0416 airfoil are performed to validate and demonstrate the methodology. The results show that, for flows at different angles of attack, the predicted transition locations agree well with experimental data and compare favorably to other numerical methods. Furthermore, the growth rate curve of the disturbances matches well with that from e~N envelope method, which shows that the method has the ability to predict transition of flows over airfoils and the potential to become a useful transition prediction tool in the future.
机译:从层流到湍流的转换的有效且准确的预测对于基于计算模拟的飞机空气动力学特性的预测至关重要。本文提出了一种“ DMD / e〜(N”)方法来预测翼型上的流过渡位置,然后在RANS计算中将其用于从层流状态转换为湍流状态。这种方法结合了空间动态模式分解(DMD)技术和e〜N方法。使用DMD进行稳定性分析,并使用e〜N方法对扰动的增长进行积分。当在给定位置的放大模式的N因子达到规定的阈值(例如通常为N = 9)时,假定发生了转变。进行了跨音速自然层流(NLF)LSC72613机翼和低速层流NLF0416机翼周围流的过渡预测,以验证和演示该方法。结果表明,对于不同迎角的流动,预测的过渡位置与实验数据吻合良好,并且与其他数值方法相比具有优势。此外,扰动的增长率曲线与e〜N包络线方法的曲线吻合得很好,这表明该方法具有预测翼型上流动的能力,并且有可能成为将来有用的转变预测工具。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号