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arXiv:2505.05401 (physics)
[Submitted on 8 May 2025 ]

Title: Efficient Numerical Quantification of Flettner Rotor Installations

Title: 高效数值量化弗莱特纳转子安装

Authors:Niklas Kühl
Abstract: This paper introduces an inviscid Computational Fluid Dynamics (CFD) approach for the rapid aerodynamic assessment of Flettner rotor systems on ships. The method relies on the Eulerian flow equations, approximated utilizing a state-of-the-art Finite Volume Method with a dynamic momentum source term to enforce rotor circulation. The method offers substantial computational savings by avoiding near-wall refinement and easing time step constraints, making it ideal for early design phases such as design space exploration. Validation against potential flow theory and viscous reference simulations confirms that the method reliably predicts lift-induced forces despite its limitations in capturing parasitic drag. Three-dimensional simulations, including idealized wind tunnel setups and full-scale ship applications at high Reynolds numbers (up to ReL=1E08), demonstrate that results based on low-order convection featuring a solid numerical viscosity yield deviations with respect to viscous reference data of around O(10%). Accepting this reasonable loss of predictive accuracy provides a simulation framework with response times in the order of minutes compared to hours or even days.
Abstract: 本文介绍了一种无粘性计算流体力学(CFD)方法,用于快速评估船舶上的弗莱特纳转子系统的空气动力特性。 该方法依赖于欧拉流动方程,通过使用最先进的有限体积法并结合动态动量源项来强制实现转子的环量,从而进行近似求解。 此方法通过避免靠近壁面的细化以及减轻时间步长限制,提供了显著的计算节省,使其非常适合早期设计阶段,如设计空间探索。 与势流理论和粘性参考模拟的对比验证表明,尽管该方法在捕捉寄生阻力方面存在局限性,但它能够可靠地预测升力引起的力。 三维模拟,包括理想化的风洞设置和高雷诺数下的全尺寸船应用(高达 ReL=1E08),表明基于低阶对流且具有固有数值粘性的结果与粘性参考数据相比存在约 O(10%) 的偏差。 接受这种合理的预测精度损失,可以提供一个响应时间以分钟计的仿真框架,而传统方法可能需要数小时甚至数天。
Subjects: Fluid Dynamics (physics.flu-dyn) ; Computational Physics (physics.comp-ph)
Cite as: arXiv:2505.05401 [physics.flu-dyn]
  (or arXiv:2505.05401v1 [physics.flu-dyn] for this version)
  https://doi.org/10.48550/arXiv.2505.05401
arXiv-issued DOI via DataCite

Submission history

From: Niklas Kühl [view email]
[v1] Thu, 8 May 2025 16:38:48 UTC (10,220 KB)
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