以KCR 60螺旋桨为例,利用数学模型对b系列螺旋桨进行优化设计,使其性能达到最优

A. Nuryadin, A. Rahman, Cahyanto Cahyanto
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For decision variables include picth diameter ratio (P / D) and Blade area ratio (Ae / Ao) and number of leaves (Z). While the constraint variables are: the pitch diameter ratio value of the B-series propeller (0.5≤P/D≤1.4), the blade area ratio B-series (0.3≤Ae/Ao≤1, 05) as well as the number of blade (2≤Z≤7). From the calculation results of the optimization of the B-series propeller design for the KCR 60, the optimum value is different for each blade. the propeller with the number of blade 2 (Z = 2) obtained the optimum propeller with the value of J-opt =0.77098733, Ae/Ao=0.3, P/D=1.13162337, KT = 0.165632781, 10KQ=0, 27546033 and efficiency=0.73198988. Popeller with number of blades 3 (Z=3) obtained optimum propeller with J-opt value=0.77755594, Ae/Ao=0.3, P/D=1.06370107, KT=0.168069763, 10KQ=0.28984068 and efficiency=0.70590799. Propeller with number of blades 4 (Z=4) obtained optimum propeller with J-opt value=0.78478688, Ae/Ao=0.45954773, P/D=1.03798312, Kt=0.172147709, 10Kq= 0.3091063 and efficiency=0.67797119. Propeller with blades number 5(Z=5) obtained optimum propeller with J-opt value=0.78575616, Ae/Ao=0.65607164, P/D=1.02716571, KT=0.174099168, 10KQ=0.31376705 and efficiency=0.67547177. Propeller with blades number 6 (z=6) obtained optimum propeller with J-opt value=0.78867357, Ae/Ao=0.71124343, P/D=1.0185055, KT=0.176525247, 10KQ=0.32215257 and efficiency =0.66705719. 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引用次数: 0

摘要

作为船舶推进器的螺旋桨设计过程是生产能够达到船舶预期目标航速的螺旋桨的重要步骤。螺旋桨优化是一种努力产生最优性能的螺旋桨设计。本螺旋桨设计采用b系列螺旋桨,该螺旋桨通常用作船舶推进器。寻找最优螺旋桨的优化步骤,即:确定目标函数、确定决策变量、确定约束变量。该优化的目标函数是确定螺旋桨的先进最优系数(J-opt)值。J-opt系数必须大于J-Design系数(J-d)和最小可能值(最小化函数)。决策变量包括:桨径比(P /D)、叶面积比(Ae /Ao)和叶数(Z),约束变量为:b系列螺旋桨的节径比值(0.5≤P/D≤1.4)、叶面积比b系列(0.3≤Ae/Ao≤1,05)和叶数(2≤Z≤7)。从KCR 60 b系列螺旋桨设计优化的计算结果来看,每个叶片的最优值是不同的。桨叶数为2 (Z = 2)的螺旋桨得到的最佳螺旋桨J-opt =0.77098733, Ae/Ao=0.3, P/D=1.13162337, KT = 0.165632781, 10KQ= 0,27546033,效率=0.73198988。桨叶数为3 (Z=3)的叶轮获得了最佳螺旋桨,其J-opt值为0.77755594,Ae/Ao=0.3, P/D=1.06370107, KT=0.168069763, 10KQ=0.28984068,效率=0.70590799。桨叶数为4 (Z=4)时,得到的最佳螺旋桨J-opt值为0.78478688,Ae/Ao=0.45954773, P/D=1.03798312, Kt=0.172147709, 10Kq= 0.3091063,效率=0.67797119。桨叶数为5(Z=5)的螺旋桨得到的最佳螺旋桨J-opt值为0.78575616,Ae/Ao=0.65607164, P/D=1.02716571, KT=0.174099168, 10KQ=0.31376705,效率=0.67547177。桨叶数为6 (z=6)的螺旋桨获得了J-opt值=0.78867357,Ae/Ao=0.71124343, P/D=1.0185055, KT=0.176525247, 10KQ=0.32215257,效率=0.66705719的最优螺旋桨。桨叶数为7 (Z=7)时,得到的最佳螺旋桨J-opt值为0.7949898,Ae/Ao=0.69772623, P/D=1.01780081, KT=0.181054792, KQ=0.34011349,效率=0.64804328。关键词:KCR,优化,Wageningen b系列
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OPTIMIZATION OF B-SERIES PROPELLER DESIGN AS KCR 60 PROPULSOR TO ACHIEVE OPTIMAL PERFORMANCE USING MATHEMATICAL MODEL
The process of designing a propeller as a ship propulsor is an important step to produce a propeller that has the ability to achieve the desired target speed of the ship. Propeller optimization is an effort to produce a propeller design with optimal capabilities. This propeller design uses a B-series propeller where this propeller is commonly used as ship propulsor. Optimization steps to find the optimal propeller, namely: determining the objective function, determining the decision variable, and determining the constraint variable. The objective function of this optimization is to determine the Advanced-optimal (J-opt) coefficient value for the propeller. The J-opt coefficient must have a value greater than the J-Design coefficient (J-d) value and the smallest possible value (minimization function). For decision variables include picth diameter ratio (P / D) and Blade area ratio (Ae / Ao) and number of leaves (Z). While the constraint variables are: the pitch diameter ratio value of the B-series propeller (0.5≤P/D≤1.4), the blade area ratio B-series (0.3≤Ae/Ao≤1, 05) as well as the number of blade (2≤Z≤7). From the calculation results of the optimization of the B-series propeller design for the KCR 60, the optimum value is different for each blade. the propeller with the number of blade 2 (Z = 2) obtained the optimum propeller with the value of J-opt =0.77098733, Ae/Ao=0.3, P/D=1.13162337, KT = 0.165632781, 10KQ=0, 27546033 and efficiency=0.73198988. Popeller with number of blades 3 (Z=3) obtained optimum propeller with J-opt value=0.77755594, Ae/Ao=0.3, P/D=1.06370107, KT=0.168069763, 10KQ=0.28984068 and efficiency=0.70590799. Propeller with number of blades 4 (Z=4) obtained optimum propeller with J-opt value=0.78478688, Ae/Ao=0.45954773, P/D=1.03798312, Kt=0.172147709, 10Kq= 0.3091063 and efficiency=0.67797119. Propeller with blades number 5(Z=5) obtained optimum propeller with J-opt value=0.78575616, Ae/Ao=0.65607164, P/D=1.02716571, KT=0.174099168, 10KQ=0.31376705 and efficiency=0.67547177. Propeller with blades number 6 (z=6) obtained optimum propeller with J-opt value=0.78867357, Ae/Ao=0.71124343, P/D=1.0185055, KT=0.176525247, 10KQ=0.32215257 and efficiency =0.66705719. Propeller with number of blades 7 (Z=7) obtained optimum propeller with J-opt value=0.7949898, Ae/Ao=0.69772623, P/D=1.01780081, KT=0.181054792, KQ=0.34011349 , and efficiency =0.64804328.Keywords : KCR, Optimization,Wageningen B-series.
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