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Uncertainty estimation of a CFD-methodology for the performance analysis of a collective and cyclic pitch propeller

机译:CFD方法的不确定性估计集体和循环间距螺旋桨性能分析

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Estimation and analysis of the uncertainty introduced by using a numerical model for the investigation and study of any type of flow problem have become common industry practice. Through understanding and evaluation of the uncertainty introduced by a numerical model, the accuracy and applicability of the model itself are evaluated. In this paper, the numerical uncertainty of a CFD-methodology developed to analyse the hydrodynamic performance of a collective and cyclic pitch propeller (CCPP) is estimated and analysed. The CCPP is a novel propulsion and manoeuvring concept for autonomous underwater vehicles, aimed to generate both propulsion and manoeuvring forces through advanced control of the propeller's blade pitch. The numerical uncertainty is established for three performance parameters, the generated propulsive force, the side-force magnitude, and the side-force orientation, by conducting a grid and time-step refinement study over three operational conditions. Additionally, the influence of the oscillatory uncertainty, introduced by the periodic nature of the problem, is investigated although shown to have a minimal effect when properly monitored. Based on a least-squares regression analysis of the refined simulation results, the numerical uncertainty is proven to be dominated by the introduced discretisation errors. In the case of the propulsive and side-force magnitude, the total uncertainty is dictated by the time discretisation uncertainty under bollard pull conditions, while the total uncertainty of the captive cases is mainly a result of the spatial discretisation uncertainty. The total uncertainty in the side-force orientation is observed to be primarily a consequence of the time discretisation uncertainty for all simulated cases. Overall, the total uncertainty for captive cases can be considered satisfactory for all three performance parameters, while further work is needed to reduce the observed uncertainty of the simulations under bollard pull conditions.
机译:采用数值模型进行调查研究引入的不确定性的估计与分析,任何类型的流动问题都成为普通行业实践。通过了解和评估由数值模型引入的不确定性,评估模型本身的准确性和适用性。本文估计和分析了分析集体和循环间距螺旋桨(CCPP)的水动力学性能的CFD方法的数值不确定性。 CCPP是一种新的推进和机动概念,用于自主水下车辆,旨在通过螺旋桨叶片间距的先进控制产生推进和机动力。通过在三个操作条件下进行网格和时间步骤改进研究,建立了三种性能参数,产生的推进力,侧力幅度和侧向取向的数值不确定性。另外,研究了通过问题的周期性性质引入的振荡不确定性的影响,尽管在适当监测时显示出具有最小效果。基于精细模拟结果的最小二乘回归分析,证明了数值不确定性被引入的离散误差主导。在推进和副力幅度的情况下,通过盗窃条件下的时间分离子不确定性决定了总不确定性,而俘虏病例的总不确定性主要是空间离散化不确定性的结果。观察到侧向力取向的总不确定性主要是对所有模拟案例的时间分离心不确定性的结果。总的来说,对于所有三个性能参数,可以考虑俘虏案例的总不确定性,而需要进一步的工作来减少在盗用条件下观察到的模拟的不确定性。

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