Hydrodynamic Optimization for Pod Propulsion System using Real-coded Genetic Algorism
使用实数编码遗传算法对吊舱推进系统进行水动力优化
基本信息
- 批准号:16360441
- 负责人:
- 金额:$ 9.47万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (B)
- 财政年份:2004
- 资助国家:日本
- 起止时间:2004 至 2006
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In the present study, calculation methods for optimizing propeller and pod-strut system in hydrodynamic aspect were developed. Real-coded genetic algorism was used as an optimization technique.At first, completely original parallel computing system was developed in order to reduce the computing time for optimization.Improvement to reduce the cavitating area to half on an original propeller was attempted using presented calculation method for propeller optimization. Experiments were conducted to confirm the optimization results. The cavitating area did not reduce remarkably and the propeller efficiency declined. The main reason of this failure may be caused by the strict restriction for cavitation.Experiments to confirm the accuracy of the calculation method for hydrodynamic forces acting on the pod propeller were conducted. Hydrodynamic forces on five different pods were measured. Calculated results agreed well with the experimental data. In order to reduce the lateral force on the pod propeller, the effect of the attachment angles of the strut to the pod was investigated by experiment. It was found that there was an optimum attachment angle to make the lateral force nearly zero. Calculated results about lateral force had the similar tendency to the experimental results.As the preliminary experiments for the further development of the present study, the effect of small fin mounted under the pod was investigated. There is the possibility to make the lateral force nearly zero and also to prevent the increment of the force acting on the pod propeller in the advancing direction. If we choose size and shape of the fin, optimum number of the fin and optimum position of attachment appropriately, we can create a new type pod propeller which has excellent hydrodynamic performance.
本文建立了螺旋桨和吊舱-支柱系统水动力优化的计算方法。采用实数编码遗传算法作为优化技术,首先开发了完全独创的并行计算系统,以减少优化计算时间,并尝试将螺旋桨的空泡面积减小到原来的一半。实验验证了优化结果。空泡面积没有明显减小,螺旋桨效率下降。该故障的主要原因可能是由于对空泡的严格限制造成的。为验证吊舱推进器水动力计算方法的准确性,进行了实验研究。测量了五个不同吊舱上的水动力。计算结果与实验数据吻合较好。为了减小吊舱螺旋桨所受的侧向力,通过试验研究了支撑杆与吊舱的连接角对吊舱螺旋桨侧向力的影响。结果表明,存在一个最佳附着角,使侧向力接近于零。侧向力的计算结果与实验结果有相似的趋势。作为本研究的进一步发展的初步实验,研究了吊舱下安装小鳍的影响。有可能使横向力接近于零,并且还防止作用在吊舱推进器上的力在前进方向上增加。通过合理选择鳍片的尺寸和形状、鳍片的最佳数量以及鳍片的最佳附着位置,可以制造出具有优良水动力性能的新型吊舱推进器。
项目成果
期刊论文数量(12)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Theoretical Evaluation of Wake Increasing Nozzle
增尾流喷嘴的理论评价
- DOI:
- 发表时间:2004
- 期刊:
- 影响因子:0
- 作者:増田光一;居駒知樹;内田麻木;平山明仁;A.Hirayama;J.ANDO;K.Nakatake;大橋訓英;中武一明;K.Nakatake
- 通讯作者:K.Nakatake
On Propulsive Performance of a Small Bulk-Carrier Model with Twin Podded Propellers
双吊舱螺旋桨小型散货船模型推进性能研究
- DOI:
- 发表时间:2004
- 期刊:
- 影响因子:0
- 作者:増田光一;居駒知樹;内田麻木;平山明仁;A.Hirayama;J.ANDO;K.Nakatake
- 通讯作者:K.Nakatake
プロペラ上方の有限平板上の変動圧力推定法
螺旋桨上方有限平板脉动压力估算方法
- DOI:
- 发表时间:2004
- 期刊:
- 影响因子:0
- 作者:増田光一;居駒知樹;内田麻木;平山明仁;A.Hirayama;J.ANDO;K.Nakatake;大橋訓英
- 通讯作者:大橋訓英
複数の載貨状態における造波抵抗低減に関する研究-実数値遺伝的アルゴリズムを用いた多目的船型最適化-
多载荷工况下波浪减阻研究-基于实值遗传算法的多目标船形优化-
- DOI:
- 发表时间:2006
- 期刊:
- 影响因子:0
- 作者:増田光一;居駒知樹;内田麻木;平山明仁
- 通讯作者:平山明仁
2軸ポッド・プロペラ船の推進性能算定法について
关于二轴吊舱螺旋桨船舶推进性能计算方法
- DOI:
- 发表时间:2004
- 期刊:
- 影响因子:0
- 作者:増田光一;居駒知樹;内田麻木;平山明仁;A.Hirayama;J.ANDO;K.Nakatake;大橋訓英;中武一明
- 通讯作者:中武一明
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{{ truncateString('ANDO Jun', 18)}}的其他基金
Development of on-line Raman detection system for the assistance of protein analysis
辅助蛋白质分析的在线拉曼检测系统的开发
- 批准号:
24710267 - 财政年份:2012
- 资助金额:
$ 9.47万 - 项目类别:
Grant-in-Aid for Young Scientists (B)
Development of design method for high performance propeller considering ship stern wake
考虑船尾尾流的高性能螺旋桨设计方法开发
- 批准号:
23656552 - 财政年份:2011
- 资助金额:
$ 9.47万 - 项目类别:
Grant-in-Aid for Challenging Exploratory Research
Study on development of design support tool for propeller with energy saving device
带节能装置的螺旋桨设计辅助工具开发研究
- 批准号:
22360368 - 财政年份:2010
- 资助金额:
$ 9.47万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Development of prediction method for propeller blade performance by neural network and application to propeller design support tool
神经网络螺旋桨叶片性能预测方法的开发及其在螺旋桨设计支持工具中的应用
- 批准号:
19560798 - 财政年份:2007
- 资助金额:
$ 9.47万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
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