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Integrating a new flow separation model and the effects of the vortex shedding for improved dynamic stall predictions using the Beddoes-Leishman method

机译:使用Beddoes-Leishman方法整合新的流动分离模型和涡旋脱落的影响,以改善动态失速预测

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This paper aims at improving dynamic stall predictions on the S809 aerofoil under 2D flow conditions. The method is based on the well-known Beddoes-Leishman model; however, a new flow separation model and a noise generator are integrated to improve the predictions in the load fluctuations, including those induced by vortex shedding on the aerofoil upper surface. The flow separation model was derived from a unique approach based on the combined use of unsteady aerodynamic loads measurements, the Beddoes-Leishman model and a trial-and-error technique. The new flow separation model and random noise generator were integrated in the Beddoes-Leishman model through a new solution algorithm. The numerical predictions of the unsteady lift and drag coefficients were then compared with the Ohio State University measurements for the oscillating S809 aerofoil at several reduced frequencies and angles of attack. The results using the proposed models showed improved correlation with the experimental data. Hysteresis loops for the aerodynamic coefficients are in good agreement with measurements. Copyright (c) 2016 John Wiley & Sons, Ltd.
机译:本文旨在改进二维流动条件下S809机翼的动态失速预测。该方法基于著名的Beddoes-Leishman模型。但是,集成了新的分流模型和噪声发生器,以改善对载荷波动的预测,包括由翼型上表面涡流脱落引起的载荷波动。流分离模型是基于非定常的空气动力学载荷测量,Beddoes-Leishman模型和反复试验技术的结合使用的独特方法得出的。通过新的求解算法,将新的流分离模型和随机噪声生成器集成到Beddoes-Leishman模型中。然后,将非稳态升力和阻力系数的数值预测结果与俄亥俄州立大学在几个减小的频率和攻角下对振荡的S809机翼的测量结果进行了比较。使用提出的模型的结果显示出与实验数据的改善的相关性。空气动力学系数的磁滞回线与测量值非常吻合。版权所有(c)2016 John Wiley&Sons,Ltd.

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