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Full scale self-propulsion computations using discretized propeller for the KRISO container ship KCS

机译:使用离散螺旋桨的KRISO集装箱船KCS的全尺寸自推进计算

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Self-propulsion computations of the KCS containership are performed in full-scale with direct discretization of the propeller. A dynamic overset approach is used, which allows for arbitrary rotational speed of the propeller during the computation. The self-propulsion point is obtained using a controller to modify the propeller RPS until the target speed is reached. To obtain propulsion coefficients the open-water curves of the propeller and a towed, unpropelled case are also computed. Together, these computations provide for a complete CFD prediction of self-propulsion factors at full scale. The main differences with a similar model scale simulation following the ITTC procedures are identified and reported. The effect of these differences in the propeller operation point and performance are thoroughly studied and discussed. It is concluded that for this case the propeller operates more efficiently in full scale and is subject to smaller load fluctuations.
机译:KCS集装箱船的自推进计算是在螺旋桨直接离散化的情况下进行的。使用动态过冲方法,该方法可在计算过程中考虑螺旋桨的任意转速。使用控制器修改螺旋桨RPS直至达到目标速度,即可获得自推进点。为了获得推进系数,还计算了螺旋桨的开阔水面曲线以及被拖曳,未推进的情况。总之,这些计算提供了完整的自推进因子的完整CFD预测。识别并报告了遵循ITTC程序进行类似模型规模仿真的主要区别。这些差异对螺旋桨工作点和性能的影响已得到深入研究和讨论。可以得出结论,在这种情况下,螺旋桨在满量程下更有效地运转,并且负载波动较小。

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