A Genetic Algorithm (GA) Based Optimization Technique for the Design of Marine Propeller

M. Karim, M. Ikehata
{"title":"A Genetic Algorithm (GA) Based Optimization Technique for the Design of Marine Propeller","authors":"M. Karim, M. Ikehata","doi":"10.5957/pss-2000-16","DOIUrl":null,"url":null,"abstract":"A genetic algorithm (GA) based optimization technique for the design of systematic series propellers, e.g., B-series, Gawn, Newton-Rader series etc. is studied in this research and its applicability has been verified. Using polynomial expressions for thrust and torque coefficients of these propellers as functions of blade area ratio, pitch ratio, advance coefficient and number of blades, GA searches for an improved propeller of maximum efficiency under some design requirements and imposed constraints. In this study, GA is found as a reliable tool for optimization of marine propeller.","PeriodicalId":295991,"journal":{"name":"Day 2 Thu, September 21, 2000","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 2 Thu, September 21, 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5957/pss-2000-16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

A genetic algorithm (GA) based optimization technique for the design of systematic series propellers, e.g., B-series, Gawn, Newton-Rader series etc. is studied in this research and its applicability has been verified. Using polynomial expressions for thrust and torque coefficients of these propellers as functions of blade area ratio, pitch ratio, advance coefficient and number of blades, GA searches for an improved propeller of maximum efficiency under some design requirements and imposed constraints. In this study, GA is found as a reliable tool for optimization of marine propeller.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于遗传算法的船舶螺旋桨优化设计技术
本文研究了一种基于遗传算法的系统系列螺旋桨(如b系列、Gawn系列、Newton-Rader系列等)优化设计技术,并验证了其适用性。利用螺旋桨推力和扭矩系数的多项式表达式作为叶面积比、桨距比、推进系数和叶数的函数,遗传算法在一定的设计要求和约束条件下搜索效率最高的改进螺旋桨。本研究发现遗传算法是船舶螺旋桨优化的可靠工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Development of the Propeller Design for the World's Largest Reefer Container Ships A Genetic Algorithm (GA) Based Optimization Technique for the Design of Marine Propeller Ventilated Waterjets for High Speed Ships Estimate of the Propeller Oscillatory Loads Introduced in the Shaft and their Reduction Using Skew Angle Modular Design of Shafting Arrangement with Hydraulic Couplings and CARB Rolling Bearings
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1