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A CFD validation study for automotive aerodynamics

机译:汽车空气动力学的CFD验证研究

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A study was conducted using Ford's nine standard CFD calibration models are described in SAE paper 940323. The models are identical from the B-pillar forward but have different back end configurations. These models were created for the purpose of evaluating the effect of back end geometry variations on aerodynamic lift and drag. Detailed experimental data are available for each model in the form of surface pressure data, surface flow visualization, and wake flow field measurements in addition to aerodynamic lift and drag values. This data is extremely useful in analyzing the accuracy of the numerical simulations. The objective of this study was to determine the capability of a digital physics-based commercial CFD code, PowerFLOW to accurately simulate the physics of the flow field around the car-like benchmark shapes. Accuracy of the code was evaluated based on comparisons of predicted lift, drag, surface pressures, surface flow and general flow field characteristics to the experimental data. The experimental data was, in general, closely approximated by the simulation predictions. Some deviations from the experimental data were noted and are discussed. It was concluded that DIGITAL PHYSICS based CFD code such as PowerFLOW demonstrated potential to be a useful alternative to conventional RANS CFD methodologies for vehicle aerodynamic calculations.
机译:使用FORD的九种标准CFD校准模型进行了一项研究描述于SAE纸张940323中。该模型与B柱的正向相同但具有不同的后端配置。这些模型是为评估后端几何变化对空气动力学升力和阻力的影响的目的。除了空气动力学升力和拖动值之外,还可以为表面压力数据,表面流量可视化和唤醒流场测量的形式提供详细的实验数据。该数据在分析数值模拟的准确性方面非常有用。本研究的目的是确定基于数字物理的商业CFD代码,PowerFlow的能力,以准确模拟围绕汽车的基准形状周围的流场的物理学。根据预测提升,拖曳,表面压力,表面流量和一般流动场特性对实验数据的比较来评估代码的准确性。通常,实验数据由模拟预测密切近似。注意到实验数据的一些偏差并进行了讨论。得出结论,基于数字物理的CFD代码,如Power流程,表明了对车辆空气动力学计算的传统RAN CFD方法的有用替代品。

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