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

Tomohiro Ryu, Takashi Kanemaru, Shiro Kataoka, Kiyoshi Arihama, Akira Yoshitake, Daijiro Arakawa, Jun Ando

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)406-417
Number of pages12
JournalInternational Journal of Naval Architecture and Ocean Engineering
Volume6
Issue number2
DOIs
Publication statusPublished - Jan 1 2014

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Ocean Engineering

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