Optimization of energy saving device combined with a propeller using real-coded genetic algorithm

This paper presents a numerical optimization method to improve the performance of the propeller with Turbo-Ring using real-coded genetic algorithm. In the presented method, Unimodal Normal Distribution Crossover (UNDX) and Minimal Generation Gap (MGG) model are used as crossover operator and generat...

Full description

Saved in:
Bibliographic Details
Published in:International journal of naval architecture and ocean engineering 2014-06, Vol.6 (2), p.406-417
Main Authors: Tomohiro Ryu, Takashi Kanemaru, Shiro Kataoka, Kiyoshi Arihama, Akira Yoshitake, Daijiro Arakawa, Jun Ando
Format: Article
Language:English
Subjects:
Energy saving device
Genetic algorithm
Hub vortex
Optimization
Propeller
SQCM
Turbo-Ring
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a numerical optimization method to improve the performance of the propeller with Turbo-Ring using real-coded genetic algorithm. In the presented method, Unimodal Normal Distribution Crossover (UNDX) and Minimal Generation Gap (MGG) model are used as crossover operator and generation-alternation model, respectively. Propeller characteristics are evaluated by a simple surface panel method “SQCM” in the optimization process. Blade sections of the original Turbo-Ring and propeller are replaced by the NACA66 a = 0.8 section. However, original chord, skew, rake and maximum blade thickness distributions in the radial direction are unchanged. Pitch and maximum camber distributions in the radial direction are selected as the design variables. Optimization is conducted to maximize the efficiency of the propeller with Turbo-Ring. The experimental result shows that the efficiency of the optimized propeller with Turbo-Ring is higher than that of the original propeller with Turbo-Ring.
ISSN:2092-6782
DOI:10.2478/IJNAOE-2014-0188