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CFL3D, FUN3d, and NSU3D Contributions to the Fifth Drag Prediction Workshop

机译:CFL3D,FUN3d和NSU3D对第五阻力预测研讨会的贡献

摘要

Results presented at the Fifth Drag Prediction Workshop using CFL3D, FUN3D, and NSU3D are described. These are calculations on the workshop provided grids and drag adapted grids. The NSU3D results have been updated to reflect an improvement to skin friction calculation on skewed grids. FUN3D results generated after the workshop are included for custom participant generated grids and a grid from a previous workshop. Uniform grid refinement at the design condition shows a tight grouping in calculated drag, where the variation in the pressure component of drag is larger than the skin friction component. At this design condition, A fine-grid drag value was predicted with a smaller drag adjoint adapted grid via tetrahedral adaption to a metric and mixed-element subdivision. The buffet study produced larger variation than the design case, which is attributed to large differences in the predicted side-of-body separation extent. Various modeling and discretization approaches had a strong impact on predicted side-of-body separation. This large wing root separation bubble was not observed in wind tunnel tests indicating that more work is necessary in modeling wing root juncture flows to predict experiments.
机译:描述了在第五阻力预测研讨会上使用CFL3D,FUN3D和NSU3D呈现的结果。这些是在车间提供的网格和拖动适应的网格上进行的计算。 NSU3D结果已更新,以反映斜网格上蒙皮摩擦计算的改进。研讨会后生成的FUN3D结果包含在自定义参与者生成的网格和先前研讨会中的网格中。在设计条件下,均匀的网格细化显示在计算出的阻力中存在紧密的分组,其中阻力的压力分量的变化大于皮肤摩擦分量的变化。在此设计条件下,通过对度量和混合元素细分的四面体适应,可以使用较小的阻力伴随适应网格来预测细网格阻力值。自助餐研究比设计案例产生了更大的变化,这归因于预测的身体侧面分离程度的巨大差异。各种建模和离散化方法对预测的身体侧面分离有很大影响。在风洞测试中未观察到较大的翼根分离气泡,这表明在建模翼根接合点流动以预测实验方面需要做更多的工作。

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