高鲁棒性的螺旋桨片条理论非线性修正方法

doi:10.7527/S1000-6893.2018.21869

Abstract

Abstract: 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.

Key words: propeller, blade element momentum theory, neural networks, vertical take-off and landing, vortex flow

CLC Number:

V211

FAN Zhongyun, ZHOU Zhou, ZHU Xiaoping, WANG Rui, WANG Kelei. High-robustness nonlinear-modification method for propeller blade element momentum theory[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018, 39(8): 121869-121869.

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High-robustness nonlinear-modification method for propeller blade element momentum theory

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