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首页> 外文期刊>Applied Ocean Research >Penalty of hull and propeller fouling on ship self-propulsion performance
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Penalty of hull and propeller fouling on ship self-propulsion performance

机译：船体和螺旋桨污染对船舶自推进性能的惩罚

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Recently, there has been an increasing interest in predicting the effect of biofouling on ship resistance using Computational Fluid Dynamics (CFD). For a better understanding of the impact of biofouling on the fuel consumption and green-house gas emissions of ships, studying the effect of biofouling on ship self-propulsion characteristics is required. In this study, an Unsteady Reynolds Averaged Navier-Stokes (URANS) based full-scale ship self-propulsion model was developed to predict the effect of biofouling on the self-propulsion characteristics of the full-scale KRISO container ship (KCS). A roughness function model was employed in the wall function of the CFD model to represent the barnacles on the hull, rudder and propeller surfaces. A proportional integral (PI) controller was embedded in the simulation model to find the self-propulsion point. Simulations were conducted in various configurations of the hull and/or propeller fouling. Finally, the effect of biofouling on the self-propulsion characteristics have been investigated.
机译：最近，对使用计算流体动力学（CFD）来预测生物污染对船舶阻力的影响越来越令人兴趣。为了更好地了解生物污染对船舶燃料消耗和绿房气体排放的影响，需要研究生物污染造成船舶自推进特性的影响。在这项研究中，开发了一个不稳定的Reynolds平均基于Navier-Stokes（Urans）的全尺寸船自推进模型，以预测生物污垢对全尺寸Kriso集装箱船（KCS）的自推进特性的影响。在CFD模型的壁函数中采用粗糙函数模型，以表示船体，舵和螺旋桨表面上的菱形盒。在仿真模型中嵌入了比例积分（PI）控制器以找到自推进点。以船体和/或螺旋桨污垢的各种配置进行仿真。最后，研究了生物污染对自我推进特性的影响。

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