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Drag Prediction for the DLR-F6 Wing/Body and DPW Wing Using CFL3D and OVERFLOW on an Overset Mesh

机译:使用CFL3D拖动DLR-F6翼/主体和DPW翼的预测,并在推档网格上溢出

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A Series of overset grids was generated in response to the 3rd AIAA CFD Drag Prediction Workshop (DPW-III) which preceded the 25th applied Aerodynamics Conference in June 2006. DPW-III focused on accurate drag prediction for wing-body and wing-alone configurations. The grid series built for each configuration consists of a coarse, medium, fine, and extra-fine mesh. The medium mesh is first constructed using the current state of best practices for overset grid generation. The medium mesh is then coarsened and enhanced by applying a factor of 1.5 to each (I,J,K) dimension. The resulting set of parametrically equivalent grids increase in size by a factor of roughly 3.5 from one level to the next denser level. CFD simulations were performed on the overset grids using two different RANS flow solvers: CFL3D and OVERFLOW. The results were post-processed using Richardson extrapolation to approximate grid converged values of lift, drag, pitching moment, and angle-of-attack at the design condition. This technique appears to work well if the solution does not contain large regions of separated flow (similar to that seen in the DLR-F6 results) and appropriate grid densities are selected. The extra-fine grid data helped to establish asymptotic grid convergence for bota the OVERFLOW FX2B wing/body results and the OVERFLOW DPW-W1/W2 wing-alone results. More CFL3D data is needed to establish grid convergence trends. The medium grid was utilized beyond the grid convergence study by running each configuration at several angeles-of-attack so drag polars and lift/pitching moment curves could be evaluated. The alpha sweep results are used to compare data across configurations as well as across flow solvers. With the exception of the wing/body drag polar, the two codes compare well qualitatively showing consistent incremental trends and similar wing pressure comparisons.
机译:溢流网格的A系列响应于所述第三AIAA CFD将预测研讨会(DPW-III),它先于25日在2006年6月施加空气动力学会议DPW-III集中于准确曳预测翼体和翼单独配置产生。每个配置构建网格系列由粗,中,细和超细啮合。该介质网格使用的用于溢流网格生成最佳实践的当前状态的第一构造。然后将介质网状粗大化,通过施加1.5到每个(I,J,K)尺寸的因素增强。将所得的参数不相同网格的集合从一个层次到下一个更密集的水平尺寸增加大约3.5的因子。 CFD模拟,使用两个不同RAN的溢流流网格求解器执行:CFL3D和溢出。结果是后处理用理查德森外推到近似电网融合升力,阻力,俯仰力矩值,以及角的攻击在设计条件。此技术似乎工作以及如果所述溶液中不含有分离的流(类似于在DLR-F6结果可以看出),并适当网格密度的大区域被选择。额外的细网格数据帮助建立渐近电网收敛博塔溢出FX2B机翼/机身结果和溢出DPW-W1 / W2翼单独的结果。更多CFL3D数据需要建立网融合趋势。介质电网是由几个分校-的攻击,从而拖累极性物质和电梯运行的每个配置/俯仰力矩曲线可以评估利用不只是网格收敛性研究。阿尔法扫描结果被用来跨配置以及跨流解算器的数据进行比较。与机翼/车身风阻极地之外,两个代码比较好定性地表示一致的增量趋势和类似机翼的压力比较。

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