TY - GEN
T1 - Application of high-robustness BEMT for simulation of UAV-VTOL propeller at low/high advance ratio
AU - Fan, Zhongyun
AU - Zhou, Zhou
AU - Zhu, Xiaoping
N1 - Publisher Copyright:
© 31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018. All rights reserved.
PY - 2018
Y1 - 2018
N2 - For UAV-VTOL propeller design, lots of nonlinear effect should be considered such as low-Re, transonic and large AOA effect. On the other hand, when considering the propeller-wing interaction in the design, the flow details of the propeller, such as circulation, should be obtained. The basic Blade Element Momentum Theory (BEMT) has difficulty analyzing propellers at Low/High advance ratio. In this paper, an improved BEMT is presented for nonlinear wide-range propeller analysis. First, the artificial Neural Networks are used to establish the airfoil performance evaluating model. Second, the BEMT was refined by circulation iteration and is able to analyze propeller at both low/high advance ratio robustly. Third, the analysis examples are presented to shown the accuracy and robustness of the refined BEMT. At last, the inversed BEMT for propeller design is present.
AB - For UAV-VTOL propeller design, lots of nonlinear effect should be considered such as low-Re, transonic and large AOA effect. On the other hand, when considering the propeller-wing interaction in the design, the flow details of the propeller, such as circulation, should be obtained. The basic Blade Element Momentum Theory (BEMT) has difficulty analyzing propellers at Low/High advance ratio. In this paper, an improved BEMT is presented for nonlinear wide-range propeller analysis. First, the artificial Neural Networks are used to establish the airfoil performance evaluating model. Second, the BEMT was refined by circulation iteration and is able to analyze propeller at both low/high advance ratio robustly. Third, the analysis examples are presented to shown the accuracy and robustness of the refined BEMT. At last, the inversed BEMT for propeller design is present.
KW - Blade Element
KW - Neural Networks
KW - Propellers
KW - Rotors
KW - VTOL/STOL aircraft
UR - http://www.scopus.com/inward/record.url?scp=85060464068&partnerID=8YFLogxK
M3 - 会议稿件
AN - SCOPUS:85060464068
T3 - 31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018
BT - 31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018
PB - International Council of the Aeronautical Sciences
T2 - 31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018
Y2 - 9 September 2018 through 14 September 2018
ER -