TY - JOUR
T1 - 一种高空飞艇螺旋桨结构多目标优化设计方法
AU - Cheng, Junjie
AU - Wang, Haifeng
AU - Shang, Lingling
AU - Yu, Tianxiang
N1 - Publisher Copyright:
© 2021, Editorial Department of Journal of Aerospace Power. All right reserved.
PY - 2021/3
Y1 - 2021/3
N2 - To avoid the resonance of blade caused by rotating exciting force, it is necessary to increase the bending frequency of blade, but this will inevitably increase mass. In order to solve contradiction between low mass and high frequency, a two-objective optimization method of propeller was proposed. The minimum mass and maximum bending frequency were taken as two optimization objectives. The laying angle, thickness and region of the composite were taken as design variables. The maximum strain, maximum tip displacement and torsion angle at the 50%, 75% and 85% section of the blade were taken as constraints. The non-dominated sorting genetic algorthm Ⅱ (NSGA-Ⅱ) algorithm was used to optimize the propeller, and the Pareto solution of mass and frequency was obtained. The rotation frequency of the two blades at 520r/min was 8.76Hz and the crossing frequency was 17.33Hz. The scheme far away from these two points was selected on the Pareto solution set according to the frequency. Through manufacturing and testing, the frequency of the real blade was 12.29Hz, which was far away from the two resonance points, but can effectively avoid the blade resonance.
AB - To avoid the resonance of blade caused by rotating exciting force, it is necessary to increase the bending frequency of blade, but this will inevitably increase mass. In order to solve contradiction between low mass and high frequency, a two-objective optimization method of propeller was proposed. The minimum mass and maximum bending frequency were taken as two optimization objectives. The laying angle, thickness and region of the composite were taken as design variables. The maximum strain, maximum tip displacement and torsion angle at the 50%, 75% and 85% section of the blade were taken as constraints. The non-dominated sorting genetic algorthm Ⅱ (NSGA-Ⅱ) algorithm was used to optimize the propeller, and the Pareto solution of mass and frequency was obtained. The rotation frequency of the two blades at 520r/min was 8.76Hz and the crossing frequency was 17.33Hz. The scheme far away from these two points was selected on the Pareto solution set according to the frequency. Through manufacturing and testing, the frequency of the real blade was 12.29Hz, which was far away from the two resonance points, but can effectively avoid the blade resonance.
KW - Bending frequency
KW - Blade resonance
KW - Composite
KW - High-altitude airship
KW - Multi-objective optimization
KW - Pareto solution set
KW - Propeller
UR - http://www.scopus.com/inward/record.url?scp=85104418286&partnerID=8YFLogxK
U2 - 10.13224/j.cnki.jasp.2021.03.014
DO - 10.13224/j.cnki.jasp.2021.03.014
M3 - 文章
AN - SCOPUS:85104418286
SN - 1000-8055
VL - 36
SP - 584
EP - 591
JO - Hangkong Dongli Xuebao/Journal of Aerospace Power
JF - Hangkong Dongli Xuebao/Journal of Aerospace Power
IS - 3
ER -