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Study of active flow control for a simplified vehicle model using the PANS method

机译:使用PANS方法研究简化车辆模型的主动流量控制

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Flow control has shown a potential in reducing the drag in vehicle aerodynamics. The present numerical study deals with active flow control for a quasi-2D simplified vehicle model using a synthetic jet (zero net mass flux jet). Recently developed near-wall Partially-Averaged Navier-Stokes (PANS) method, based on the ξ-fRANS turbulence model, is used. The aim is to validate the performance of this new method for the complex flow control problem. Results are compared with previous studies using LES and experiments, including global flow parameters of Strouhal number, drag coefficients and velocity profiles. The PANS method predicts a drag reduction of approximately 15%, which is closer to the experimental data than the previous LES results. The velocity profiles predicted by the PANS method agree well with LES results and experimental data for both natural and controlled cases. The PANS prediction showed that the near-wake region is locked-on due to the synthetic jet, and the shear layer instabilities are thus depressed which resulted in an elongated wake region and reduced drag. It demonstrates that the PANS method is able to predict the flow control problem well and is thus appropriate for flow control studies.
机译:流量控制已显示出减少车辆空气动力学阻力的潜力。目前的数值研究涉及使用合成射流(零净质量通量射流)的准二维简化车辆模型的主动流控制。使用基于ξ-fRANS湍流模型的最近开发的近壁部分平均Navier-Stokes(PANS)方法。目的是验证这种新方法对于复杂流控制问题的性能。将结果与使用LES和实验的先前研究进行了比较,其中包括Strouhal数的整体流动参数,阻力系数和速度曲线。 PANS方法预测阻力减少约15%,这比之前的LES结果更接近实验数据。通过PANS方法预测的速度分布与LES结果和自然和受控情况下的实验数据非常吻合。 PANS预测表明,由于合成射流的作用,近尾流区被锁定,因此剪切层的不稳定性得到抑制,从而延长了尾流区并减小了阻力。它表明,PANS方法能够很好地预测流量控制问题,因此适用于流量控制研究。

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