Numerical Prediction of Skin Friction Coefficient by Coupling a Bem with X-Foil: Effect on the Hydrofoil and Propeller Performance

Thomas S. Wu, Seunghyun Kim, S. Kinnas
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Abstract

A boundary element method (BEM) has been commonly used in a hydrofoil or propeller performance analysis. The effect of viscosity is often considered by applying a constant empirical friction coefficient over the blade, which does not fully consider the development of the boundary layer. In this paper, a three-dimensional (3D) low-order BEM is coupled with an originally two-dimensional boundary layer solver, X-foil, to evaluate the effect of viscosity on the blade surface and predict the open water characteristics of the 3D hydrofoil and propeller. During the process, the boundary layer equations are solved at each section, where the 2D influence coefficients in X-foil have been replaced by the 3D influence coefficients, corresponding to the panels at each strip, with the effect of the boundary layer sources from the other sections and the other blades being considered, in an iterative sense. Then, the viscous/inviscid interactive method is employed to calculate the skin friction coefficient, which significantly improves the prediction of friction and pressure distribution on the blade, and the efficiency of the propeller. Subsequently, full-blown Reynolds Averaged Navier-Stokes (RANS) simulations are conducted to validate the predicted results under various conditions. The results demonstrate that the skin friction coefficient correlates well with RANS results. This model was shown to be robust and efficient for predicting viscous effects while requiring less computational effort than an arduous 3D meshwork in RANS.
翼面与x型翼面耦合摩擦系数的数值预测:对水翼和螺旋桨性能的影响
边界元法(BEM)是水翼或螺旋桨性能分析中常用的一种方法。粘度的影响通常是通过在叶片上施加恒定的经验摩擦系数来考虑的,这没有充分考虑边界层的发展。本文采用三维低阶边界元与原二维边界层求解器x -翼相结合的方法,评估了粘度对叶片表面的影响,并对三维水翼和螺旋桨的开放水域特性进行了预测。在此过程中,求解每一截面的边界层方程,其中x翼的二维影响系数被替换为对应于每条板的三维影响系数,并考虑了其他截面和其他叶片的边界层源的影响,具有迭代意义。然后,采用粘/无粘交互方法计算表面摩擦系数,显著提高了对叶片摩擦和压力分布的预测,提高了螺旋桨效率。随后,进行了全面的Reynolds平均Navier-Stokes (RANS)模拟,以验证各种条件下的预测结果。结果表明,表面摩擦系数与RANS结果具有良好的相关性。该模型在预测粘滞效应方面具有鲁棒性和有效性,并且比RANS中复杂的3D网格所需的计算量更少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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