A Method Combined with the Genetic Algorithm for Design of High Efficiency Propeller

Song Xiang; Wei Ping Zhao; Li Guo Zhang; Gang Tong

doi:10.4028/www.scientific.net/AMM.709.172

Paper Titles

Shape Parameter Optimization of Gaussian Radial Basis Function Using Genetic Algorithm for Natural Frequencies of Laminated Composite Plates
p.153

Tailoring the Fundamental Frequency of Laminated Composite Panels Using Material Properties
p.157

Surface Fitting and Finite Element Inverse Analysis of Residual Stress in a Weldment by the Contour Method
p.162

Dynamics Analysis of Orientation Distribution of Fiber Suspensions in Shear-Extensional Flow
p.168

A Method Combined with the Genetic Algorithm for Design of High Efficiency Propeller
p.172

Ship Performance Research Based on BP Neural Network
p.176

Application of Improved Extended Kalman Filter for Adaptive Model of Aircraft Engine
p.180

Comparative Analysis of 3D Viscoelastic and Poroelastic Dynamic Boundary-Element Modelling
p.186

Finite Element Simulation of Stability and Resistance to Extreme Loads of Braced Shell with Elastomeric Bearings
p.190

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 709A Method Combined with the Genetic Algorithm for...

A Method Combined with the Genetic Algorithm for Design of High Efficiency Propeller

Abstract:

In this paper, a design method combined with the genetic algorithm is proposed to design the propeller of general aviation aircraft. The inputs of this method are the cruise speed, rotational speed, propeller diameter, number of blade, thrust, Reynolds and Mach numbers. The chord and pitch-angle angle distributions along the blade are the outputs of this method. The propeller of a kind of Li-ion battery powered aircraft is designed by the present method.

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Periodical:

Applied Mechanics and Materials (Volume 709)

Pages:

172-175

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.709.172

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Online since:

December 2014

Authors:

Song Xiang, Wei Ping Zhao, Li Guo Zhang, Gang Tong

Keywords:

Design, General Aviation, Genetic Algorithm (GA), High Efficiency, Propeller

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