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Development of CFD Methodology for Drag Force Prediction on Passenger Car with Rear Mounted Spoiler

机译:船用船船乘用车拖曳力预测的CFD方法的发展

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Eaton has supported the design and development of spoilers for automobile applications. Addition of spoilers in the car influences the external aerodynamics and in turn impacts fuel economy and vehicle stability, in addition to providing improved external aesthetics. With the upward trend in fuel prices, it becomes more critical to quantify the effect of spoiler on the fuel economy. Eaton Corporation has undertaken efforts to establish predictive capability for evaluating the effect of a rear mounted spoiler on fuel economy. A first phase of these efforts focuses on development of a CFD methodology on the Ahmed Reference model and validation with wind tunnel testing. A second phase will focus on leveraging the methodology on an actual automobile and in the last phase, fuel economy models will be built using outputs from the CFD methodology. This paper focuses on detailed discussion about first phase of the work and summary of the second phase. It includes findings from literature surveys, brief details of wind tunnel testing, observations from sensitivity studies of key CFD modeling parameters and CFD model validation with wind tunnel test data. It has been observed that the finalized CFD modeling approach is able to predict drag forces with an accuracy level of greater than 90% when compared to wind tunnel test data for eight operating conditions.
机译:伊顿支持汽车应用的扰流板的设计和开发。除了提供改进的外部美学外,还影响外部空气动力学和燃料经济性和车辆稳定性的扰流板。随着燃料价格上升趋势,量化扰流板对燃料经济性的影响变得更为重要。伊顿公司承担了建立预测能力,以评估后置扰流板对燃料经济性的影响。这些努力的第一阶段侧重于在艾哈迈德参考模型和风洞测试验证上开发CFD方法。第二阶段将专注于利用实际汽车和在最后一段的方法,燃料经济模型将使用来自CFD方法的输出构建。本文重点介绍了关于第二阶段的第一阶段的详细讨论和第二阶段的概要。它包括文献调查的调查结果,风隧道测试的简要细节,与风洞测试数据的关键CFD建模参数和CFD模型验证的敏感性研究的观察。已经观察到,与八个操作条件相比,最终CFD建模方法能够预测精度高于90%的拖曳力量大于90%。

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