高鲁棒性的螺旋桨片条理论非线性修正方法

Zhongyun Fan, Zhou Zhou, Xiaoping Zhu, Rui Wang, Kelei Wang

科研成果: 期刊稿件文章同行评审

9 引用 (Scopus)

摘要

The Blade Element Momentum Theory (BEMT) method is modified to analyze the propeller under extreme conditions. The BEMT method can give accurate calculation of thrust and power at normal conditions, but when it comes to the nonlinear condition, such as the conditions of extreme low and high advance ratio, BEMT cannot calculate the thrust, power, circulation and induced velocity accurately and robustly. In view of this problem, this paper discusses non-physical solution and the singular solution of induced velocity for the BEMT equations. Based on the vortex theory, a circulation-iteration method is developed to improve the robustness of propeller analysis at extreme conditions. To take multi-nonlinear effects into consideration, an artificial neural network is used to acquire the aerodynamic characteristics of large-angle effect, low Reynolds number and transonic effects of the blade element and to provide efficient prediction of nonlinear aerodynamic characteristics of blade elements for the BEMT. The modified BEMT is validated using the Computational Fluid Dynamics (CFD) method and the experiment, and a comparison of the results show high robustness and accuracy of the modified BEMT for extreme condition analysis. Calculation results demonstrate that the relative error of the thrust and power are less than 5% at normal conditions, and less than 10% at extreme conditions.

投稿的翻译标题High-robustness nonlinear-modification method for propeller blade element momentum theory
源语言繁体中文
文章编号121869
期刊Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica
39
8
DOI
出版状态已出版 - 25 8月 2018

关键词

  • Blade element momentum theory
  • Neural networks
  • Propeller
  • Vertical take-off and landing
  • Vortex flow

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