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Combination of body-fitted and embedded grids for external vehicle aerodynamics

机译:车身和嵌入式格栅的组合,用于外部车辆空气动力学

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Purpose - This paper seeks to reduce the time it takes to perform external aerodynamic simulations without compromising accuracy. At present, cleaning up CAD data sets, in particular for undercarriage parts, takes several man-weeks. Design/methodology/approach - Body-fitted and embedded mesh techniques are combined to obtain accurate external aerodynamic solutions for realistic car geometries with minimal user intervention. The key idea is to mesh with typical body-fitted RANS grids the external shape of the vehicle, which is smooth and requires detailed physical modeling. The underhood and undercarriage are treated as embedded surfaces. The flow in this region is massively separated, requiring LES runs and isotropic grids. This makes it a suitable candidate for embedded grids. Findings - Comparisons with body-fitted and experimental data for a typical car show that this approach can yield drag predictions with an error less than 5 percent. Practical implications - The present approach reduces turnaround times for complete car geometries to one to two days, without compromising accuracy. Originality/value - To the authors' knowledge, this is the first time such an approach has been tried and validated for external aerodynamics.
机译:目的-本文旨在减少执行外部空气动力学仿真所需的时间,而又不影响准确性。目前,清理CAD数据集(尤其是起落架部件的CAD数据集)需要几个工时。设计/方法/方法-结合了车身和嵌入式网格技术,以最少的用户干预即可获得符合实际汽车几何形状的精确外部空气动力学解决方案。关键思想是使典型的RANS网格与车辆的外部形状相啮合,这是平滑的并且需要详细的物理建模。引擎盖和底盘系统被视为嵌入式表面。该区域中的流动被大量分离,需要LES运行和各向同性网格。这使其成为嵌入式网格的合适候选者。研究结果-与典型汽车的车身和实验数据进行的比较表明,该方法可以产生阻力小于5%的阻力预测。实际意义-本方法可将完整几何形状的汽车的周转时间减少到一到两天,而不会影响准确性。原创性/价值-据作者所知,这是首次针对外部空气动力学尝试并验证了这种方法。

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