Optimization of a Composite Rotor Blade using a Genetic Algorithm with Local Search

Author:

Lee Ya-Jung1,Lin Ching-Chieh1,Ji Jin-Chih1,Chen Jong-Sheng2

Affiliation:

1. Department of Engineering Science and Ocean Engineering, National Taiwan University, 73 Chou-Shan Rd., Taipei, Taiwan, 106, ROC

2. Aeronautical System Research Division, Chung Shan Institute of Science and Technology, P.O. Box 90008-11-3, Taichung, Taiwan, ROC

Abstract

The material and ply angles of a fiber-reinforced plastic (FRP) rotor blade of a helicopter are optimized using a genetic algorithm (GA) with local search. The variation of the structural stiffness with material and ply angle is investigated. The aim of the optimization is to find an optimal stacking sequence that minimizes twist deformation. An optimum rotor blade is obtained using the ply angles as variables; failure, natural frequency, and minimum moment of inertia are used to constrain the optimization. The GA is employed as an optimization tool. A simplified local search is implemented in the final stage of optimization to reduce the searching time.

Publisher

SAGE Publications

Subject

Materials Chemistry,Polymers and Plastics,Mechanical Engineering,Mechanics of Materials,Ceramics and Composites

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1. Structural Design and Analysis of Marine Composite Propellers Based on Ply Process;2023 International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII);2023-06

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4. Optimum Design of Composite Structures: A Literature Survey (1969–2009);Journal of Reinforced Plastics and Composites;2016-10-01

5. Isogeometric analysis and Genetic Algorithm for shape-adaptive composite marine propellers;Computer Methods in Applied Mechanics and Engineering;2015-02

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